Ofertas de empleo para machine-learning

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo . Python Azure Cloud Coumputing AWS IoT Excel Machine Learning

Would you like to be part of our new adventure? Vodafone Group launched its new technological HUB in 2021, an international center of excellence dedicated to research and development of technical solutions, such as Secure Networks, 5G and 6G development, Open RAN, IoT, MPN & MEC and UCC for Vodafone Business, platforms and enterprise solutions.

This vacancy is part of VOIS Spain, legal entity part of Vodafone Group.

Come and join us to create the future together!

For the role of Data Scientist we are looking for candidates with a broad range of skills.

The responsibilities include:

• Build and deliver data science & gen AI solutions that drive value following best-practices and standards (revenue upturn, cost decrease and/or customer & employee engagement improvements)
• Build and deliver automations which will help digital transformation of stakeholders
• Partner with Product Manager & delivery teams within Shared Services to deliver analytics solutions & insight with a focus around following best-practices and standards
• Create, own and maintain reusable data science products and services that can be deployed across Vodafone
• Drive innovation by employing new analytical techniques, collaborating with wider Data & Analytics team
  
  
  

What You Bring

• Having hands on experience with:
• programming languages like Python
• standard Data Science stack like Pandas, numPy, sci-kit learn, etc
• data handling: SQL/BigQuery
• cloud platforms like GCP, AWS, Azure, etc
• Understanding of analytical techniques and competencies (e.g. Machine Learning / statistical modelling / Gen AI solutions)
• Proven data analytics experience (data science, data analysis, data management)
• Excellent numeracy skills
• Experience with working across business and IT teams; ideally both on and off shore
• Software Development and Design skills
• Storytelling with data
  
  
  

Benefits

• Hybrid work model
• Bonus on top of the gross salary
• Meal voucher (Ticket Restaurant), additional to gross salary
• Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
• Intensive Summer Schedule during July and August
• Up to 20 days per year of 100% remote work from other locations
• Private Health and Life Insurance for employees.
• 25 vacation days, plus December 24th and 31st off
• Optional Pension Plan
• Access to an online learning platform for continuous training
  
  
  

REF: 275577

Please, apply with an English version of your CV.

Why Vodafone?

At Vodafone, we are dedicated to fostering a diverse and inclusive work environment. We take pride in our commitment to providing equal opportunities to individuals of all backgrounds and abilities. We firmly believe that diversity includes a spectrum of experiences, and we welcome and support individuals with functional diversity. Our mission is to create an accessible workplace where all team members can thrive, regardless of their unique abilities or challenges. We are committed to making reasonable accommodations to ensure that everyone can fully participate and excel in our organization. We value the unique perspectives and talents that individuals with functional diversity bring to our team and consider them an integral part of our success and innovation.

We recognize and celebrate the importance of diversity and inclusivity in our workplace so that we are as diverse as the customers and communities we serve. We do not tolerate any form of discrimination especially related to but not limited to race, colour, age, veteran status, gender identification, sexual orientation, pregnancy, ethnicity, disability, religion, political affiliation, trade union membership, nationality, indigenous status, medical condition, HIV status, social origin, cultural background, social or marital status.

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. So, if you’re excited about this role but your experience doesn’t align exactly with every part of the job advert, we encourage you to apply as you may be just the right candidate for this role or another role, and our recruitment team can help see how your skills fit in.

Who We Are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo Google Analytics Google Ads Machine Learning

📍 Full-time | 100% Remote (CET-aligned)
🎯 Output & performance-driven

KNN Digital Media is a global eCommerce company founded by former Google executives. We use performance marketing, media, and machine learning to drive measurable growth across a portfolio of in-house and affiliate brands, including our flagship brand in the health and wellness space, Vital Nutritive.

We’re now hiring a PPC Specialist to help manage and scale our Google Ads campaigns.

You’ll be managing end-to-end campaign execution for multiple brands, running keyword research, setting up ads, analysing data, and helping us scale conversions efficiently.

This is a high-impact role that reports directly to our PPC Lead.

WHY YOU’LL LOVE WORKING WITH KNN DIGITAL MEDIA
· Join a high-performing team led by former Google leaders
· Be part of a fast-scaling global eCommerce company with clear growth opportunities
· Enjoy a high level of autonomy while collaborating with a smart, international team
· 100% remote role with flexible working hours aligned with CET
· Work on high-volume DTC performance campaigns where your optimisation decisions drive real results

HOW YOU'LL CONTRIBUTE
In this role, you will launch, manage, and optimize high-budget PPC e-commerce campaigns for both our proprietary brands and affiliate brands in the Health and Wellness sectors.

Key responsibilities are the following:

PPC Research:
· Product Research: Conduct research for new products, including keyword analysis, competitive benchmarking, and offer evaluation.
· Keyword & Market Analysis: Identify the best-performing keywords and market opportunities by assessing competition, search volume, and CPCs.
· Offer Evaluation: Research and assess the potential of offers in the PPC market to determine feasibility and profitability.

Campaign Creation & Launch:
· Campaign Setup: Create, configure, and launch PPC campaigns across platforms such as Google Ads and Bing Ads.
· Campaign Monitoring: Continuously monitor campaign performance, making adjustments to bids, keywords, and ad copy to optimise results.
· Conversion Tracking: Set up and manage conversion and event tracking using Google Ads, Google · Analytics, and Openhermes to monitor ROI and performance.

Site Structure & Content Review:
· Review Site Setup: Collaborate with content writers to review content, links, and site structure on comparison sites before launching campaigns.
· Ensure Alignment: Ensure that the content and site setup are aligned with PPC campaigns for seamless integration and optimised performance

Reporting & Analysis:.
· Data Analysis: Analyse campaign performance data, identifying trends and areas for improvement.
· Optimisation Decisions: Use data-driven insights to make optimization decisions, including adjusting bids, keywords, and targeting to improve campaign performance.
· Reporting: Create detailed campaign performance reports using Supermetrics and other analytics tools, providing actionable insights to improve future campaigns.

Partner Communication:
· Offer Management: Maintain open communication with partners to ensure that all offers are functioning correctly and resolve any issues promptly.
· Partner Collaboration: Work closely with partners to monitor offer performance and optimise for better results.

Continuous Improvement & Innovation:
· PPC Trends: Stay up-to-date with the latest PPC industry news, tools, and best practices to implement cutting-edge strategies.
· Proactive Strategy Suggestions: Actively suggest and test new strategies to scale accounts, improve performance, and stay competitive in the market.
· Account Scaling: Use analytical insights to identify scaling opportunities and suggest strategies to grow accounts performance.

🎯 KPIs
· Conversion volume and value (based on assigned accounts)
· CPA and ROAS improvement over time
· Creative and offer performance insights
· Data quality and accuracy in reporting
· Consistent campaign optimisation and test execution

WHAT YOU'LL NEED TO SUCCEED IN THIS ROLE
· 1-2 years in PPC for e-commerce, ideally in competitive sectors, with expertise in Google Ads and Bing Search.
· Proven experience managing campaigns with structured budgets and performance goals
· Strong data-driven approach with excellent analytical and numeracy skills.
· Experience with tools such as Google Analytics, Google Tag Manager (GTM), Google Ads Editor, Microsoft Advertising Editor, SEMrush, and Supermetrics.
· Solid understanding of KPIs, metrics, and performance optimization strategies.
· Up-to-date with the latest PPC trends, tools, and best practices, with a keen interest in continuous learning.
· Attention to detail & multitasking: Ability to manage multiple campaigns efficiently in a fast-paced environment.
· Bonus points: Experience with product comparison/review sites, especially in the Health & Wellness sector.
· Curiosity & proactiveness: Always eager to test new tools, strategies, and creative approaches to improve performance.
· Language Skills: Advanced English (C1 or higher) is required. Spanish is a plus.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada26 ene.

. Machine Learning

Company Description

The Spanish National Research Council (Consejo Superior de Investigaciones Científicas-CSIC) is the largest public research organization in Spain, encompassing 124 research centers. As a government agency, CSIC is dedicated to both basic and applied scientific research across various disciplines. It plays a key role in driving innovation and addressing societal challenges through groundbreaking research and international collaborations. CSIC fosters an environment of excellence and is committed to supporting researchers in advancing scientific knowledge.

Role Description

Artificial intelligence (AI) and quantum technologies are among the most transformative areas of frontier research and development in science and engineering today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. 

The ML-QSIM project is built upon a robust multi-node and multi-regional structure, encompassing four complementary research groups located in Asturias (CINN), Aragón (INMA), Catalunya (CVC), and Madrid (ICMM), and aims to develop AI-driven methodologies for quantum simulations and computation based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation, interfacing closely with cold-atom experiments under construction at CINN. Our goal is to create robust AI tools that enhance quantum performance, contribute to the emerging ecosystem of quantum technologies in Spain and the EU, and position our consortium at the intersection of quantum physics, computer science, and artificial intelligence. 

We are seeking three highly motivated postdoctoral researchers to join the team. Each position will address a complementary research area within the project: 

1. Quantum Control and Reinforcement Learning (CINN, Asturias) 

• Develop AI-driven control strategies based on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. 
• Enhance holographic methods for optical tweezers with generative models and closed-loop optimization. 
• Benchmark AI-assisted methods against classical control approaches and assess scalability and robustness under realistic noise conditions. 

2. Neural Ansätze for Quantum Simulations (INMA, Zaragoza) 

• Build and maintain software infrastructure for modeling quantum systems with machine learning tools. 
• Investigate neural-network-based representations of many-body quantum states (variational ansätze), symmetries, and thermal or dynamical properties. 
• Bridge the gap between simulations and experiments by connecting with the neutral atom platform developed at CINN. 

3. Quantum Machine Learning and Quantum Optimization (ICMM, Madrid) 

• Develop theoretical frameworks for qudit-based quantum neural networks and quantum active learning (QAL). 
• Investigate hybrid quantum-classical pipelines, quantum compilation techniques, and noise-aware algorithms for Rydberg architectures. 
• Apply quantum optimization to real-world problems such as logistics, scheduling, and portfolio allocation, comparing performance with classical methods. 

Qualifications

• PhD in Physics, Computer Science, Applied Mathematics, or related fields. 
• Strong background in at least one of the following: machine learning, quantum computing, control theory, computer vision, or numerical simulations. 
• Experience with Python-based scientific programming 
• Excellent problem-solving skills, 
• Ability to work collaboratively in a multidisciplinary environment and communicate across different scientific cultures. 
• Fluency in English. 

What We Offer 

• Competitive salary and contract terms following institutional and national regulations for up to three years. 
• A vibrant, interdisciplinary research environment in collaboration with leading Spanish quantum technology centers. 
• Access to quantum simulation platforms, HPC resources, and experimental facilities. 
• Opportunities to contribute to EU-funded research initiatives and international collaborations. 
• A commitment to open science, including software, data, and collaboration tools. 

How to Apply 

Please send the following materials to [email protected] by 28/02/2026

• A cover letter indicating which position(s) you are applying for and your research interests 
• Curriculum vitae including publication list and (if available) access to contributed software repositories (github/gitlab) 
• Names and contact information of two references 

Applications will be considered on a rolling basis until all positions are filled. More details of the hiring process will be given to pre-screened candidates. 

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada26 ene.

Python Machine Learning Office

We are seeking a skilled Python ML/AI Engineer with a strong background in software engineering and expertise in Python and machine learning

In this role, you will contribute to an innovative AI project, enabling businesses to create seamless conversational experiences across various interfaces. If you are ready to drive AI innovation and collaborate with high-performing teams, we encourage you to apply.

Responsibilities

- Define, optimize, and implement efficient workflows and development processes
- Develop, maintain, and improve technical documentation for clarity and consistency
- Implement monthly updates for Deep Learning Python libraries, addressing security vulnerabilities
- Maintain and enhance Python libraries, ensuring security, reliability, and compatibility
- Improve test coverage for Python libraries to enhance reliability and maintainability
- Communicate daily with the client, providing updates and addressing concerns
- Collaborate with cross-functional teams to ensure smooth project execution

Requirements

- 3+ years of experience in programming with Python
- Expertise in Natural Language Processing and Deep Learning
- Background in machine learning frameworks such as PyTorch and TensorFlow
- Familiarity with Python libraries, including PyDantic and Cryptography
- Understanding of build and dependency management tools like Poetry and PIP
- Knowledge of secure coding practices and experience addressing security vulnerabilities
- Strong troubleshooting skills with the capability to support iterative development processes
- Proficiency in English for effective communication with clients and teams

Nice to have

- Experience working with cloud-based AI platforms
- Familiarity with cryptography and security protocols in AI applications
- Previous experience in distributed or remote teams
- OCI and ODA certifications or willingness to obtain them
- Experience with high-performance computing for AI workloads

We offer/Benefits

- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

Teletrabajo . React Javascript API Python TSQL OOP Docker Cloud Coumputing Kubernetes GraphQL Git REST IoT Redis Machine Learning

The role of a Growth Engineer at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of technology adoption, for our customers and for our own martech stack. We are looking for an experienced Growth Engineer to join our team and take ownership of our marketing technology stack, data architecture, and infrastructure. This role is critical for designing and scaling the systems that power marketing automation, lifecycle marketing, and data-driven growth initiatives.

The ideal candidate will be passionate about technology, data, and the use of technology in marketing. You will thrive in an environment that emphasizes ownership, collaboration, learning, and a drive to continually improve. If you love to solve complex problems, get hands-on with cutting-edge tools, and build the automated systems that fuel a global business, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Design, build, and maintain our core data infrastructure and martech stack to support marketing and sales goals.
• Develop and optimize robust data pipelines, automations, and integrations between our CRM, marketing platforms, and data warehouse.
• Architect and manage APIs for seamless system integration and data flow across the entire stack.
• Collaborate with marketing, sales, and product teams to understand their needs and architect technical solutions.
• Implement and champion software engineering best practices, including clean code, CI/CD, automated testing, and version control.
• Explore and integrate cutting-edge tools to enhance our data capabilities and operational efficiency.
• Support marketing team members with strategic expertise, setting up and monitoring automations
• Build on automation and AI to improve lead management
• Develop Canonical's martech stack to industry leading standard
  
  

What we are looking for in you?

• System Design: Expertise in system design, particularly in the data world, with a strong understanding of networking, proxies, and data ingress/egress patterns.
• Cloud & Databases: Proficiency with cloud data warehousing (e.g., BigQuery), relational databases (e.g., Postgres), and object stores (e.g., S3). Knowledge of Docker, Kubernetes, and data stores like Redis is a plus.
• API Architecture: Deep knowledge of API architecture and design, with a primary focus on REST. Experience with GraphQL is beneficial.
• Programming: Senior-level knowledge of Python (OOP, APIs, asyncio, scientific libraries) and SQL (experience with tools like Trino and dbt is highly valued).
• Web Technologies: A solid understanding of web application backend-frontend processes. Working knowledge of JavaScript is required; experience with React is a nice-to-have.
• Engineering Best Practices: A commitment to writing clean, maintainable code, with experience in CI/CD, automated testing, and version control (Git).
• Mindset: A curious and collaborative problem-solver with a growth mindset and a keen interest in the commercial domains of marketing and sales. Plus, exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams
  
  

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

🏠Fully remote working environment - we've been working remotely since 2004!

📚Personal learning and development budget of 2,000USD per annum

💰Annual compensation review

🏆Recognition rewards

🏝 Annual holiday leave

👶Parental Leave

🧑💼Employee Assistance Programme

🧳Opportunity to travel to new locations to meet colleagues at 'sprints'

✈️Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

. Machine Learning

Biological sciences » Biological engineering

Engineering » Chemical engineering

Organisation/Company CSIC Research Field Biological sciences » Biological engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 31 Mar *********:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun **** Is the job funded through the EU Research Framework Programme?

Horizon Europe - MSCA Marie Curie Grant Agreement Number ********* Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Objectives

Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection.

Knowledge-graph-based combinatorial experiment designs are used to span multiple scales, while Multiobjective optimization strategies ensure improvements in efficiency across various biomanufacturing scales.

Expected Results

Development of innovative bio-based production methods tailored to meet specific target property requirements.

These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins.

A multi-scale strategy will be implemented to design and optimise these metabolic pathways, integrating insights from various biological scales.

Where to apply

E-mail ******

Requirements

Research Field Technology » Biotechnology Education Level Master Degree or equivalent

Research Field Biological sciences » Biological engineering Education Level Master Degree or equivalent

Research Field Engineering » Chemical engineering Education Level Master Degree or equivalent

Skills/Qualifications

Candidates should hold a degree in biotechnology, synthetic biology, systems biology, applied mathematics (or a related subject area), be interested in biomanufacturing in biofoundries, and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology.

A secondment at the Technical University of Berlin, Germany, lasting a total of six months, is an integral part of the PhD program.

Languages ENGLISH Level Good

Additional Information

A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills

An enthusiastic team of professionals to co-operate with

Personal Career Development Plan (PDCP) to prepare young researchers for their future careers

Each DC will undergo individual training at individual institutes according to the PCDP description

An attractive compensation package in accordance with the MSCA-DN programme regulations for doctoral candidates.

The exact salary will be confirmed and will be based on a living allowance of ****€/month (correction factor to be applied per country) + mobility allowance of 600€/month.

Additionally, researchers may also qualify for a family allowance of 660€/month, depending on the family situation.

Taxation and social (including pension) contribution deductions based on national and company regulations will apply.

Eligibility criteria

Any nationality

Doctoral Candidate (DC): The applicant must not have been awarded a doctoral degree.

Mobility rule: The DC must not have resided or carried out main activity (work, studies, etc.) in the country of their host organisation for more than 12 months* in the three years immediately prior to the date of selection in the same appointing international organisation.

• EXCLUDED: short stays such as holidays, compulsory national services such as mandatory military service and procedures for obtaining refugee status under the General Convention.
  
  

Language: Applicants must demonstrate fluent reading, writing and speaking abilities in English (B2).

Selection process

FrameBio (Multiscale Frameworks for BioSolutions) is a project funded by the European Union with a goal is to revolutionise biotechnology by developing comprehensive computational modules that simulate the microbial behaviour of bioproducts and quantify/estimate their resource dependencies across various scales.

This PhD position is part of a unique multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimisation, data science, and sustainability assessments.

This project has received funding from the Horizon Europe, Marie Sklodowska-Curie Actions (MSCA) grant (Grant agreement ID: *********, ).

Additional comments

Supervisors team

The

Dynamics Biodesign Lab (DBDL)

, led by Dr.

Pablo Carbonell

, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bio-economy sectors.

The lab combines synthetic biology, machine learning and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals.

The

Computational Synthetic Biology group (CSBG)

, led by Dr.

Irene Otero-Muras

, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise – with relevance in cell regulation, signalling and metabolic processes.

The research aims to advance fundamental understanding and address innovative applications for systems and synthetic biology.

The

Biotechnology of Industrial Yeasts Laboratory

of I2SysBio, led by Dr.

Agustín Aranda

, deals with the use of different species of yeast of biotechnological interest, mainly Saccharomyces cerevisiae during winemaking.

We are focused on regulatory systems as stress response (mainly oxidative) and nutrient signalling pathways, and we use genetic manipulation to characterise such mechanisms in conditions that mimic industrial environments.

The

Spanish National Research Council (CSIC)

is the largest public research organisation in Spain and one of the most important in the European Research Area (ERA).

It is the main player in the Spanish Science, Technology, and Innovation System and is currently made up of over 13,200 people.

These individuals are distributed between the CSIC Corporate Organisation, 121 research institutes, and three national centres located throughout Spain, as well as an institute in Rome.

The CSIC conducts research in three core areas: Society, Life, and Material, which cover most academic disciplines.

In March ****, the CSIC was among the institutions awarded the 'HR Excellence in Research Award'.

The DC will be enrolled in the "Institute for Integrative Systems Biology .

The DC will be enrolled in the Science and Technology Programme, Biosciences area, offered by the Menendez Pelayo International University.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

Teletrabajo . Python Azure Cloud Coumputing Ansible Scala Microservices AWS DevOps Terraform Kafka Spark Big Data Machine Learning

Join to apply for the

Senior Data Engineer

role at

Ultra Tendency

Our Engineering department is growing and we're looking for a

Senior Data Engineer – Databricks (m/f/*)

to join our team in Spain and support our global growth.

What We Offer

Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Spain).

A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents.

Contribute your ideas to unique projects and make an impact by turning them into reality.

Balance work and personal life through our workflow organization and choose where you work.

Annual performance review and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies.

Individual development plan and professional development opportunities.

Educational resources such as paid certifications, unlimited access to Udemy Business, etc.

Local, virtual, and global team events, in which UT colleagues become acquainted with one another.

What You'll Do

Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform with a strong focus on Apache Spark, Delta Lake, and Unity Catalog.

Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases.

Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions.

Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools such as Photon, Auto Loader, and Job Workflows.

Establish and enforce best practices for data quality, governance, and security within the Databricks environment.

Mentor junior engineers and contribute to the evolution of the team's Databricks expertise.

What You'll Bring

Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow.

Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).

Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments.

Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform).

A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems.

Professional Spanish & English communication skills (C1-level, written and spoken).

Did we pique your interest, or do you have any questions?

We want to hear from you: contact us at

About Us

Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices.

We design, build, and operate large-scale data-driven applications for major enterprises such as the European Central Bank, HUK-Coburg, Deutsche Telekom, and Europe's largest car manufacturer.

Founded in Germany in ****, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.

At Ultra Tendency we contribute source code to +20 open-source projects including Ansible, Terraform, NiFi, and Kafka.

We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.

Data privacy statement: Data Protection for Applicants – Ultra Tendency

Job Details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industry: Tobacco Manufacturing

Referrals increase your chances of interviewing at Ultra Tendency by 2x.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

. Python Machine Learning

About The Job

We are looking for an outstanding individual with expertise in sustainability and a holistic perspective on the environmental footprint of AI workloads. This person will play a key role in shaping and optimizing sustainability features for AI workloads, collaborating closely with hardware and software engineers in a co-design environment.

Key Responsibilities

• Research, design, and implement sustainability features to quantify and minimize the environmental impact of large-scale AI model training and inference.
• Collaborate with hardware and software engineers to ensure efficient model deployment on custom silicon solutions.
• Explore new techniques for improving model footprint, model throughput, and hardware utilization.
• Develop and implement distributed scheduling strategies for carbon-aware large-scale model deployments across high-performance computing infrastructures.
• Conduct performance benchmarking and profiling of ML workloads on custom accelerators.
• Stay up to date with advancements in deep learning, sustainability, and AI hardware to bring innovative ideas into Openchip’s AI strategy.
• Participate in technical discussions and contribute to Openchip’s AI research and development roadmap.
  
  

Qualifications

• MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Publication record is a plus.
• Hands-on experience in training and deploying AI models, particularly LLMs or equivalent large architectures.
• Strong programming skills in Python and proficiency with ML frameworks, such as PyTorch or TensorFlow.
• Strong knowledge of deep learning model optimization techniques, such as pruning, quantization, knowledge distillation, and reasoning optimization.
• Experience in sustainability topics is highly desirable.
• Familiarity with hardware/software co-design principles and methodologies is considered a plus.
• Fluent in English is a must; knowledge of additional European languages (German, Dutch, Spanish, French, or Italian) is a plus.
  
  

Soft Skills

• Self-motivated, humble, and driven with a passion for tackling complex AI challenges.
• Strong communicator who values honesty, integrity, and collaboration.
• Effective team player in a multidisciplinary environment.
  
  

What We Offer?

• Join an innovative team and experience company growth.
• We believe in investing in our employees and providing them with opportunities for growth and career development.
• Work in a hybrid environment with flexible scheduling.
• We offer a remuneration that values your experience.
• A chance to work at one of the most transformative AI and silicon engineering companies in Europe.
• The position will be based Barcelona (Spain).
  
  

We are looking for outstanding people willing to join our mission to change the silicon industry and help build a better world. If you feel identified with

Openchip, please contact us. At Openchip & Software Technologies S.L., we believe a diverse and inclusive team is the key to groundbreaking ideas. We foster a work environment where everyone feels valued, respected, and empowered to reach their full potential – regardless of race, gender, ethnicity, sexual orientation, or gender identity.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada25 ene.

. Machine Learning

Biological sciences » Biological engineering

Engineering » Chemical engineering

Organisation/Company CSIC Research Field Biological sciences » Biological engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 31 Mar *********:59 (Europe/Madrid) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun **** Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number ********* Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Objectives

Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection.

Knowledge-graph-based combinatorial experiment designs are used to span multiple scales, while Multiobjective optimization strategies ensure improvements in efficiency across various biomanufacturing scales.

Expected Results

Development of innovative bio-based production methods tailored to meet specific target property requirements. These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins.

A multi-scale strategy will be implemented to design and optimise these metabolic pathways, integrating insights from various biological scales.

Where to apply

E-mail ******

Requirements

Research Field Technology » Biotechnology Education Level Master Degree or equivalent

Research Field Biological sciences » Biological engineering Education Level Master Degree or equivalent

Research Field Engineering » Chemical engineering Education Level Master Degree or equivalent

Skills/Qualifications

Candidates should hold a degree in biotechnology, synthetic biology, systems biology, applied mathematics (or a related subject area), be interested in biomanufacturing in biofoundries, and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology. A secondment at the Technical University of Berlin, Germany, lasting a total of six months, is an integral part of the PhD program.

Languages ENGLISH Level Good

Additional Information

A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills

An enthusiastic team of professionals to co-operate with

Personal Career Development Plan (PDCP) to prepare young researchers for their future careers

Each DC will undergo individual training at individual institutes according to the PCDP description

An attractive compensation package in accordance with the MSCA-DN programme regulations for doctoral candidates. The exact salary will be confirmed and will be based on a living allowance of ****€/month (correction factor to be applied per country) + mobility allowance of 600€/month. Additionally, researchers may also qualify for a family allowance of 660€/month, depending on the family situation. Taxation and social (including pension) contribution deductions based on national and company regulations will apply.

Eligibility criteria

Any nationality

Doctoral Candidate (DC): The applicant must not have been awarded a doctoral degree.

Mobility rule: The DC must not have resided or carried out main activity (work, studies, etc.) in the country of their host organisation for more than 12 months* in the three years immediately prior to the date of selection in the same appointing international organisation.

• EXCLUDED: short stays such as holidays, compulsory national services such as mandatory military service and procedures for obtaining refugee status under the General Convention.
  
  

Language: Applicants must demonstrate fluent reading, writing and speaking abilities in English (B2).

Selection process

FrameBio (Multiscale Frameworks for BioSolutions) is a project funded by the European Union with a goal is to revolutionise biotechnology by developing comprehensive computational modules that simulate the microbial behaviour of bioproducts and quantify/estimate their resource dependencies across various scales. This PhD position is part of a unique multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimisation, data science, and sustainability assessments. This project has received funding from the Horizon Europe, Marie Sklodowska-Curie Actions (MSCA) grant (Grant agreement ID: *********, ).

Additional comments

Supervisors team

The

Dynamics Biodesign Lab (DBDL)

, led by Dr.

Pablo Carbonell

, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bio-economy sectors. The lab combines synthetic biology, machine learning and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals.

The

Computational Synthetic Biology group (CSBG)

, led by Dr.

Irene Otero-Muras

, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise – with relevance in cell regulation, signalling and metabolic processes. The research aims to advance fundamental understanding and address innovative applications for systems and synthetic biology.

The

Biotechnology of Industrial Yeasts Laboratory

of I2SysBio, led by Dr.

Agustín Aranda

, deals with the use of different species of yeast of biotechnological interest, mainly Saccharomyces cerevisiae during winemaking. We are focused on regulatory systems as stress response (mainly oxidative) and nutrient signalling pathways, and we use genetic manipulation to characterise such mechanisms in conditions that mimic industrial environments.

The

Spanish National Research Council (CSIC)

is the largest public research organisation in Spain and one of the most important in the European Research Area (ERA). It is the main player in the Spanish Science, Technology, and Innovation System and is currently made up of over 13,200 people. These individuals are distributed between the CSIC Corporate Organisation, 121 research institutes, and three national centres located throughout Spain, as well as an institute in Rome. The CSIC conducts research in three core areas: Society, Life, and Material, which cover most academic disciplines. In March ****, the CSIC was among the institutions awarded the 'HR Excellence in Research Award'. The DC will be enrolled in the "Institute for Integrative Systems Biology . The DC will be enrolled in the Science and Technology Programme, Biosciences area, offered by the Menendez Pelayo International University.

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