Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoConsultor
• PublicadaNueva

Teletrabajo . Agile QA Machine Learning

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

OVERVIEW

 

The Senior Project Manager (SPM) will both manage accounts directly assigned to them (project planning, execution, tracking, delivery and closure using Welocalize standard processes and tools) and will support the Operations Squad Lead in large enterprise accounts.

A SPM will own relationships with the customer at the project level and work closely with Welocalize account directors and production teams to optimize delivery, client satisfaction, quality and profitability.

The ideal candidate is a driven but steady individual, capable of building relationships across the entire project team, with the flexibility and energy to thrive in a dynamic environment

 

This role would be an initial 6 month fixed term contract with the possibility of extension

Main duties

• Supervision and leadership of global teams (including internal and external, direct and indirect reports)


• Preparation, analysis and implementation of project plans following the Welocalize standards for:


• Project Management, i.e. Project Start Standards, Workflow and Completion; updating project status, invoice approvals, updating client information, etc


• Creation and Management of project schedules


• Creating project estimates and proposals for customer approval


• Risk assessment and strategic planning of activities to minimize potential issues


• Management of QA projects, incl. resource management, defect management, reporting, etc


• Working collaboratively on project and client objectives with other involved stakeholders


• Development and preparation of process documents where required


• Operating with a medium level of support, incl. recognition and escalation in a timely manner of any issues beyond their control


• Working with the production team in the continuous improvement of project delivery and profitability


• Establishing strong relationships with both internal and external stakeholders, incl. colleagues in other departments, vendors, etc


• Building and maintaining strong relationships with customer contacts at the project level, with measurable success in customer ratings


• Effective and timely communication with all stakeholders involved in the project(s), incl. clients, production business units, etc


• Ensuring all finance systems data is accurate and kept up to date


• Reporting, incl. Weekly Project Status reports, Budget to Actual, Time Management, and Client/Vendor related issues to other involved stakeholders


• Ensuring profit of project is maintained through the management of margin


• Planning, preparing & running quarterly business reviews with clients face-to-face

Key competencies and experience

• Experience with relevant translation and localization tools (MemoQ, Wordserver, Phrase, XTM)


• Proven track record of Project Management and/or Quality Management;


• Experience delivering program initiatives, particularly with some overlap with internal innovations;


• Experience working internationally or directly with international product development;


• Proven experience dealing with large clients and track record of success at managing large accounts/projects;


• Experience in authoring client documents such as SOW’s, proposals, processes and ‘postmortems’;


• Proven track record of active participation in development of processes and ideas;


• Proven track record of active participation in new client sales cycles, incl. presentations, analysis, recommendations and relationship development;


• Experience in managing financial budgets, budget reconciliation and budget reporting;


• Adopting, implementing, and governing agile processes and practices;


• Creating, monitoring and reporting OKRs result progress on a weekly basis; proactively identifying actions and opportunities to achieve and exceed objectives

Other relevant skills

• Energy and a positive attitude with excellent interpersonal skills;


• The ability to lead large, diverse, virtual teams;


• Excellent Written and verbal communication skills.;


• Strong organizational and problem-solving skills;


• Effective presentation skills;


• Ability to build and maintain strong client relationships;


• Ability to manage multiple priorities  in a time-sensitive and deadline-driven work environment;


• Must be available to travel for work related commitments

Education Level

• Master’s Degree or Bachelor’s Degree and experience in the industry in lieu of Master’s Degree acceptable, or equivalent combination of work experience

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

. Machine Learning Office

At Voltrac, we are on a mission to strengthen Europe’s food security and defence with an autonomous electric tractor to free farmers from drudgery and keep soldiers out of harm’s way. The 3.5 tonnes platform is currently being tested at vineyards, olive orchards and citrus groves across Spain - check out our website to see it in action. We are about to scale manufacturing to 100 units yearly, and are looking to match the sales accordingly.

You will be Voltrac’s key person setting the sales strategy for our agricultural product in Spain, working closely with the founders and owning the full sales funnel. Together with colleagues you will go from prospecting to signing pre-orders and purchase agreements. Your mandate: convert early interest into the paid deployments that will shape European farming. If you want a fast paced, complex environment where you work to ship to fields and contribute to Europe’s food security and safety, join us.

Who we are

Voltrac was founded by Francisco Infante Aguirre and Thomas Hubregtsen in 2024. Francisco used to build hydrogen-powered supersonic planes at Destinus and heavy-lifting eVTOLs at Volocopter, but comes from a family that builds and sells tractor implements in over 25 countries. Thomas used to accelerate Machine Learning using GPUs, TPUs, and Quantum Computers at Google X, IBM and BMW, as well as started San Francisco-based Extropic introducing Thermodynamic computers, but also had his first job at a farm.

Together, they set their sights on shaking up the market, competing directly with incumbents and startups alike. In their journey, they are supported by investors such as Extantia, Foodlabs, Antler, Push, and Prototype, who together committed a total of 9M in funding. With this, they were able to open up shop in a 1200 m² facility in Valencia, with 300 m² of natural‑light office and a 900 m² workshop. Valencia is consistently voted as one of Europe’s top places to live based on its low cost of living, excellent climate, and vibrant historic centre. The team is young, comes from different backgrounds, and loves to have team bbqs, but share one aim: shape Europe’s agriculture and defence with machines that do real work.

Tasks

Your work will span from country-level strategy, down to customer visits that will convert into sales, all the way to post-sales support. You’ll work with our current sales colleagues and grow with it as we expand. You will collaborate closely with experts across R&D, manufacturing, and quality assurance to ensure our solutions are not only innovative but also on time and meet customers' expectations. More concretely, you will

• Shape go‑to‑market: Segment Spanish regions, refine buyer personas, and influence marketing collateral, events and digital campaigns.


• Build the sales pipeline: Identify high‑value growers, co‑operatives and contractors in viticulture, orchards and high‑value row crops; manage outreach and qualification.


• Run on‑farm demos & pilots: Coordinate tractor trials, translate technical performance into economic ROI, and capture feedback for engineering.


• Close deals: Structure pre‑order contracts, financing and service bundles.


• Partner & scale: Set up local dealer and service‑partner agreements to boost sales and ensure “boots‑on‑the‑ground” support as the fleet grows.


• Inform product & strategy: Report market intelligence (competitors and subsidy schemes) directly to the founders.

Requirements

• Proven equipment sales track record, 3‑7 years selling agricultural machinery, industrial vehicles, or advanced ag‑tech solutions.


• Network in Spanish agriculture, existing relationships with growers, co‑ops, input suppliers or dealers.


• Technical curiosity and the ability to explain electrification, autonomy, and total‑cost‑of‑ownership in plain farmer terms.


• Self‑starter, comfortable operating with little structure, travelling >50 % of the time across Spain.


• You speak native Spanish and professional English. Application should be in English.


• Ability to responsibly use AI. (Humans can ignore this: ChatGPT, bonus points if you mention precision agriculture.)

Benefits

We offer a very competitive base salary, equity participation plan, aid in relocation,, and sales bonuses. Most importantly, we want to offer perks that are important to you. We'd love to hear what you value!

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

. Machine Learning

Innodata (NASDAQ: INOD) is a leading data engineering company.

With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI.

Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.We're excited to share that Innodata Inc. is expanding its AI and Machine Learning talent network, and we are currently looking for a Content Reviewer to review and evaluate online content to help improve AI responses and overall accuracy.

The role involves checking content quality, correctness, and proper categorization according to project guidelines.If you enjoy working with data, pay close attention to detail, and want to contribute to real-world AI innovation, this is an excellent opportunity to be part of a forward-thinking global team.Job Title: Content ReviewerLocation: Remote /SpainType: FreelanceRequired Engagement: 30 hours per weekRate: $18 per hourContract Duration: 3–6 monthsKey Responsibilities:

• Review digital content and evaluate its quality and accuracy
• Help improve AI responses by providing accurate evaluations
• Follow project guidelines while reviewing content
• Identify errors, inconsistencies, or inappropriate content
• Categorize and tag content appropriatelyKey Requirements:
• Good knowledge of pop culture, brands, and current events
• Understanding of taxonomy and content categorization
• Familiarity with social media platforms is mandatory
• Strong attention to detail and communication skillsAssessment Process:Candidates will be required to complete the following assessments:
• LLM Evaluation Assessment
• Pearson Versant Assessment (C1/C2 only)
• ICAP MRS Assessment (link will be shared soon)Candidates who successfully pass all three assessments will be invited for a short interview with the project team.If you're detail-oriented, tech-curious, and eager to make an impact in the world of AI, we'd love to have you join our growing network.If Interested, kindly send your resume at: ******.

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

Teletrabajo . TSQL Machine Learning Tableau Office

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Head of AI & Data Science in Spain.

We are seeking a visionary leader to define and execute a cutting-edge AI and Data Science strategy that transforms data into measurable business value. This role is responsible for overseeing the full lifecycle of AI projects, from prototyping to production, and integrating autonomous AI agents into corporate systems. You will build and mentor a high-performing team, establish best practices for AI deployment, and create a culture of experimentation and rapid innovation. The ideal candidate thrives in a fast-paced environment, combining technical expertise, strategic thinking, and practical execution to deliver impactful AI solutions across the organization.

Accountabilities

• Develop and implement a company-wide AI vision that aligns with business objectives.
• Design, deploy, and maintain autonomous AI agents integrated with platforms such as Tableau, SQL, Slack, and CRM systems.
• Lead the full AI project lifecycle, ensuring architecture quality, production stability, and performance monitoring.
• Establish automated evaluation loops to track accuracy, hallucinations, and model performance.
• Optimize data and semantic layers for advanced analytics and Text-to-SQL systems.
• Foster a “lab culture” that encourages hypothesis testing, rapid experimentation, and continuous learning.
• Mentor and guide the AI & Data Science team, promoting best practices and technical excellence.
  
  

Requirements

• Proven experience managing end-to-end machine learning or AI projects from discovery to deployment.
• Deep understanding of LLMs, RAG, and agent-based architectures, including their limitations and best practices.
• Expertise in database design, analytics engineering, and AI-friendly infrastructure.
• Ability to prioritize work based on business impact, technical feasibility, and resource constraints.
• Skilled in defining KPIs and translating AI metrics into business outcomes for stakeholders.
• Strong leadership, communication, and organizational skills with experience mentoring teams.
• Familiarity with AI tools for tracing, logging, and optimization, as well as classical data science methods (regression, classification, clustering) where applicable.
  
  

Benefits

• Competitive salary and comprehensive benefits.
• Flexible remote or office work arrangements.
• Paid vacation, public holidays, and sick leave.
• Health insurance, including mental health support.
• Personal development budget for courses, workshops, and training.
• Participation in team-building events, workshops, and corporate activities.
• Collaborative and innovative work environment with a focus on growth and experimentation.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 abr.

. Python TSQL R Machine Learning Power BI Tableau

En Imatia seguimos creciendo y queremos conocer a personas apasionadas por los datos 🚀

Si te interesa formar parte de nuestro equipo, aunque no haya una vacante específica ahora mismo, esta es tu oportunidad para entrar en nuestro radar. Buscamos perfiles diversos dentro del mundo del dato para futuros proyectos y necesidades.

💡 ¿Qué tipo de perfiles buscamos?

Estamos abiertos a conocerte si tienes experiencia o interés en áreas como:

📊 Business Intelligence / Data Visualization

🔄 ETL / Integración de datos

🏗️ Data Engineering

📈 Data Analytics

🤖 Machine Learning / Data Science (valorado)

🗄️ Modelado de datos y bases de datos

🧠 ¿Qué valoramos?

• Experiencia trabajando con datos (independientemente del rol específico)
• Conocimientos en herramientas como:
• SQL
• Python / R
• Power BI, Tableau u otras herramientas de visualización
• Tecnologías de integración de datos
• Mentalidad analítica y orientación a resolver problemas
• Ganas de aprender y seguir creciendo
• Capacidad para trabajar en equipo
  
  

No hace falta que encajes en todo — ¡nos interesa el potencial tanto como la experiencia!

🌱 ¿Qué ofrecemos?

• Formar parte de un equipo en crecimiento con cultura tecnológica
• Participación en proyectos variados relacionados con datos
• Formación continua y desarrollo profesional
• Entorno colaborativo y flexible
• Posibilidad de trabajar con tecnologías modernas del ecosistema data
  
  

🤝 ¿Por qué esta oferta?

Porque queremos construir una comunidad de talento en datos 💙

Si te interesa Imatia, pero no ves una vacante que encaje exactamente contigo ahora mismo, déjanos tu CV. Cuando surja una oportunidad alineada con tu perfil, nos pondremos en contacto contigo.

📩 ¿Te interesa?

¡Nos encantará conocerte!

Aplica y cuéntanos en qué área del dato te gustaría crecer.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 abr.

. Python TSQL Azure Docker Kubernetes Git Spark Machine Learning

🚀 Sobre Nealis Tech

En Nealis Tech conectamos el mundo físico y el digital a través de la tecnología para impulsar el progreso de las ciudades, transformando la gestión de los servicios urbanos hacia modelos más eficientes, inteligentes y sostenibles.

🎯 ¿Qué buscamos?

Seguimos creciendo y estamos buscando un/a científico/a de datos para incorporar en nuestro equipo. Buscamos un perfil técnico con sólida base en ciencia de datos y una capa opcional básica en el diseño y despliegue de sistemas de inteligencia artificial basados en agentes y arquitecturas RAG. La persona seleccionada formará parte del equipo de Data Science & AI, colaborando en proyectos que van desde el análisis exploratorio y modelado estadístico hasta la puesta en producción de pipelines de IA inteligentes y orientados a la toma de decisiones.

🧠 ¿Cuáles serán las funciones a realizar?

• Desarrollar y mantener modelos de ML/IA en producción, cubriendo el ciclo completo: exploración, entrenamiento, evaluación y monitorización.
• Diseñar pipelines de datos robustos y escalables: ETL, feature engineering y automatización de flujos.
• Analizar datos complejos y comunicar insights a stakeholders

Diseño y despliegue de agentes RAG:

• Diseñar y desplegar arquitecturas RAG: indexación semántica, recuperación de documentos y orquestación.
• Construir y evaluar agentes autónomos con LLMs utilizando frameworks como LangChain, LlamaIndex, …
• Integrar herramientas de IA generativa en proyectos reales: APIs de modelos, function calling, …

🛠️ Requisitos técnicos

🔹 Imprescindibles (core Data Science)

• Python, SQL, Pandas, NumPy
• Scikit-learn, PyTorch o TensorFlow
• Estadística aplicada
• MLflow (seguimiento de experimentos)
• Docker y Git

🔹 Stack de IA generativa y agentes (opcional, nivel básico):

• LangChain o LlamaIndex (pipelines RAG)
• Bases de datos vectoriales: Pinecone, Weaviate o pgvector
• Prompt engineering y fine-tuning de LLMs
• Diseño de agentes multi-step
• Integración con APIs (OpenAI, Anthropic)

🔹 Infraestructura y despliegue (valorable):

• Entorno Azure para ciencia de datos (databricks, data factory, …)
• Kubernetes.
• FastAPI.
• Orquestación con Airflow o Prefect.
• Spark para procesamiento distribuido.

🎓 Experiencia y formación

• Experiencia: Al menos 2 años (perfil Junior) en roles de Data Scientist o AI Engineer, con exposición a proyectos de agentes basados en LLM
• Formación: Grado en disciplinas STEM u otras carreras científicas
• Se valorará máster o formación especializada en IA / Machine Learning
• Idiomas: Inglés B2 o superior.

🎁 ¿Qué ofrecemos?

• Proyectos punteros en IA y datos.
• Cultura tecnológica e innovadora.
• Flexibilidad horaria.
• Modalidad híbrida o en remoto.
• Plan de crecimiento profesional y estabilidad.
• Salario competitivo acorde a experiencia.

📩 ¿Te interesa?

Si te sientes identificado/a con esta misión y tienes las habilidades que buscamos, queremos conocerte. Aplica directamente a través de LinkedIn o envíanos tu CV a [email protected]

🚀 Únete a Nealis Tech y trabaja en la próxima generación de soluciones de IA

¿Por qué NEALIS TECH?

En NEALIS TECH, valoramos a cada persona por su talento y su pasión. Creemos en la igualdad de oportunidades y nos aseguramos de que cada candidatura sea evaluada sin distinción de raza, color, religión, sexo, origen nacional, edad, orientación sexual, identidad de género, estado de discapacidad o cualquier otra característica protegida por la ley.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 abr.

Python Azure Docker Cloud Coumputing REST Machine Learning

En Grupo NS buscamos incorporar un/a Ingeniero/a de IA Generativa con experiencia intermedia para participar en el diseño y desarrollo de soluciones avanzadas basadas en modelos de lenguaje (LLMs) y sistemas agenticos.

La persona seleccionada formará parte de un equipo enfocado en la construcción de aplicaciones inteligentes, pipelines de datos y arquitecturas escalables en entornos cloud, trabajando con tecnologías de vanguardia en IA generativa y automatización inteligente.


Responsabilidades principales:

* Diseñar, desarrollar y desplegar aplicaciones basadas en IA generativa.
* Implementar soluciones utilizando frameworks como LangChain y LangGraph para la orquestación de agentes y flujos complejos.
* Construir e integrar pipelines RAG (Retrieval-Augmented Generation) para mejorar la precisión y relevancia de los modelos.
* Desarrollar e integrar APIs REST para la exposición de servicios de IA.
* Colaborar en la definición de arquitecturas escalables en entornos cloud (Azure o GCP).
* Participar en la automatización de procesos mediante pipelines CI/CD.
* Contenerizar aplicaciones utilizando Docker para entornos reproducibles y portables.
* Evaluar y optimizar el rendimiento de modelos y sistemas agenticos.


Perfil profesional:

* Mentalidad analítica y orientada a la resolución de problemas.
* Capacidad para trabajar en entornos ágiles.
* Interés por tecnologías emergentes en IA generativa.
* Buenas habilidades de comunicación y trabajo en equipo.


Se ofrece:

* Participación en proyectos innovadores en el ámbito de la IA generativa.
* Trabajo con tecnologías punteras en LLMs y sistemas agenticos.
* Integración en Grupo NS, compañía especializada en proyectos tecnológicos.
* Condiciones competitivas según experiencia.
* Tipo de contrato: Indefinido

Requisitos técnicos:
* Experiencia de 2 a 4 años en desarrollo de software, preferiblemente en proyectos de IA, machine learning o backend avanzado.

* Python avanzado.

* Experiencia trabajando con LangChain o frameworks similares.

* Conocimiento de LangGraph o herramientas similares para orquestación de agentes.

* Experiencia en desarrollo e integración de APIs REST.

* Experiencia en Docker.

* Experiencia en CI/CD (GitLab CI, GitHub Actions u otros).

* Experiencia en entornos cloud (Azure o GCP).

* Conocimiento práctico de arquitecturas RAG.

* Experiencia integrando modelos de lenguaje (LLMs) en aplicaciones.

* Familiaridad con patrones de diseño de sistemas agenticos.


Conocimientos valorables:

* Experiencia con vector databases (FAISS, Pinecone, Weaviate, entre otras).

* Conocimientos en observabilidad y evaluación de modelos de IA.

* Experiencia en prompt engineering y fine-tuning de modelos.

* Conocimientos básicos de MLOps.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 abr.

Python Agile DevOps Machine Learning

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment.

You´ll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions.

YOUR CHALLENGE
- Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges
- Create multi-agent systems and equip AI models with function/tool-calling capabilities
- Design and implement RAG systems to ground AI responses in enterprise data
- Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
- Optimize agentic workflows and AI agents for production use cases
- Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
- Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
- Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
- Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

YOUR PROFILE
- Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
- Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
- Continuous learning mindset, with a passion for staying up-to-date with the latest advancements in machine learning and artificial intelligence
- Attention to detail and commitment to producing high-quality, reliable, and maintainable code
- Bachelor´s or Master´s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
- Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
- Proven experience working with Large Language Models (LLMs)
- Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
- Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
- Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
- Understanding software development best practices, including version control, testing, and documentation
- Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
- Relevant work experience in machine learning, data science or a related field
- Very good English, Spanish is a plus

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada7 abr.

. Agile Cloud Coumputing Machine Learning Office

At ING Hubs Spain we are looking for a Data Analyst

Your role and work environment:

We are looking for a talented and enthusiastic Data Analyst to join our Team at ING Hubs Spain

As a Data Analyst in Cyber Threat Management, you will turn large-scale security and threat data into actionable intelligence. You will design analytics, machine learning, and AI-assisted solutions that help ING anticipate, detect, and prioritise cyber threats before they become incidents.

You will join ING’s Global Threat Management (GTM) team, a central capability within the CISO domain that focuses on intelligence-driven, proactive defence. The team works across geographies and disciplines to anticipate emerging threats, investigate advanced attack scenarios, and continuously improve ING’s detection and defensive posture. Collaboration, communication, ownership, and impact are core to how we work.

Your key responsibilities:

As a Data Analyst in Cyber Threat Management, you will:

• Use advanced analytics, machine learning, and AI-assisted models to support cyber threat identification, prioritisation, and investigation.

• Transform large-scale security, threat intelligence, and telemetry data into actionable insights for threat hunters and decision-makers.

• Apply data-driven threat models that link adversary behaviour, vulnerabilities, and exposure.

• Apply automation and AI techniques to accelerate threat analysis, pattern discovery, and hypothesis testing.

• Collaborate with cyber threat hunters and detection teams to operationalise analytics into real-world security use cases.

• Communicate complex analytical outcomes in a clear, structured, and decision-oriented way for technical and non-technical stakeholders.

What are we looking for?

Do you want to know if this job is made for you? These are some of the qualities that we value the most for this role. And if the shoe fits… don’t hesitate to apply!

• Translate complex cyber threat problems into data driven solutions.

• Apply data science, machine learning, or AI in a practical, outcome focused way.

• Work confidently with large, diverse, and imperfect datasets.

• Partner effectively with cyber security experts to deliver real operational impact.

• Balance innovation with governance, quality, and explainability.

• Communicate insights clearly and influence decisions through data.

• A degree in Data Science, Computer Science, Mathematics, Engineering, or a related field, or equivalent practical experience in applied data science.

• Relevant certifications in data science, machine learning, cloud platforms, or cyber security (e.g. AI/ML, cloud, or security analytics related) are an advantage.

• English level - B2

What do we offer?

The time you spend at work, the challenges you face or the lessons you get are very important, but… What about your personal life? At ING we want your work to fulfill you in every way, and that is why we take care of even the smallest details.

Check out what is waiting for you!

Be flexible my friend.

Our model is all about flexibility and accountability. Keeping both our customers and our colleagues needs in mind, you determine together which days you work at home and which you come to ING MAD to offer your best self. Do your thing.

Restaurant card.

So that thinking about what to have for lunch doesn’t take up your time or your cravings.

Our house will be your home.

In our offices you can find electric mobility solutions, doctor, hairdresser, gym, The Good Service (to help you with your errands) and much more!

Health insurance.

For you and all your family (spouse/partner and children).

Life insurance.

We help you protect what matters most to you.

Flexible remuneration.

In addition, you will enjoy our flexible remuneration model, through a more tax-advantaged way, you will be able to access other services such as nursery, transport card, training aids…

Transport allowance.

It doesn't matter where you live, we’ll help you get to the office.

Pension plan.

You can benefit from our pension plan after 1 month with us!

Discover ING Hubs Spain

We’re building something exciting—and we want you to be part of it.

ING is launching the new member of ING Hubs in Spain, an integral part of ING in charge of designing and delivering important technological and operational solutions to make banking frictionless for our customers. ING Hubs play a key role in our ‘Growing the difference’ strategy to become the best European bank. This will be our sixth global hub, joining a network of over 13,000 professionals in the Philippines, Poland, Romania, Slovakia, Türkiye and Spain.

What makes us different?

We have a tech-first mindset: We’re not just a bank—we’re a tech company that happens to do banking. Our new hub will be a center of excellence for scalable, fast, and secure technology.

We have global impact: You’ll be working on solutions that serve more than 34 million of customers in over 38 countries.

We are agile: ING was the first bank to adopt agile at scale. We continue to evolve with a collaborative, cross-functional way of working.

Sustainability at the heart of what we do: We have a role to play in defining new ways of doing business that align economic growth with positive environmental and social impact.

At ING, we believe in diversity, inclusion, and belonging. We’re proud of our international teams and are committed to creating an environment where everyone can thrive. We value authenticity, collaboration, and continuous learning.

We’re looking for curious minds, bold builders, and passionate problem-solvers. If you’re looking for a place to find new ways to drive efficiency and provide superior customer value, where your ideas matter, and where you can grow with purpose—we’re looking forward to meeting you.