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0Provectus
ML Practice Leader (Team Lead)
Provectus · Madrid, ES
Teletrabajo . Python
A Practice Leader is the first point of contact for their direct reports, and they liaise and relay information between senior leaders, HR, and engineers.
The role of a Practice Leader is probably the most important because this is the first line of people management, and it provides things to be done. On the one hand, a PL is a part of the Practice, so this person must be at least senior-level in their specialty. On the other hand, a Practice Leader is a people manager.
The complete list of requirements looks like the following:
- Practical experience and strong understanding of Python patterns & best practices
- Strong understanding of ML project lifecycle
- Practical experience with creating training datasets involving human annotators
- Experience with writing Deep Learning models from scratch
- Experience in >1 of the following areas: NLP, CV, forecasting, recommender systems
- Strong experience with agentic workflows, RAG architecture, and GraphRAG
- Experience and in-depth understanding of transformers
- Practical experience with /AWS/other cloud/open source alternatives/ MLOps platforms, frameworks, and libraries
- Practical experience with model post-production & maintenance: model and data monitoring, retraining automation, etc
- Ability to make reusable components of ML pipelines
- Practical experience with a variety of data sources (OLTP, OLAP, DataLake, Streaming)
- Experience in DataOps or ML/MLOps would be a significant plus
- Ability to explain decisions, status, and roadmap to non-technical customer representatives
- Experience in team/department leadership
- Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve goals
- Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts
- Calmness. People are complicated, and you need to be ready for any objectives or misunderstandings
- Build effective teams
- Participate in meetups, conferences, and build community
- Share best practices and culture with the team
- Mentor engineers, coach Team Leads, and encourage others to share knowledge
- Have technical excellence and be an influencer in different teams/projects
- Hire and onboard newcomers
- Conduct performance reviews, 1-on-1 meetings
- Identify and address team gaps in knowledge
- Evaluate, improve, and maintain processes
- Сollaborate with other managers across the company
- Communicate and follow the company's mission, vision, and values
Provectus
Machine Learning Practice Leader
Provectus · Madrid, ES
Teletrabajo . Python AWS Machine Learning
About The Role
We are looking for a Machine Learning Practice Leader — a senior technical and people leader who will guide the direction of our ML practice, mentor engineers, and ensure delivery excellence across multiple AI-driven projects.
This role combines hands-on machine learning expertise with strategic leadership. As a Practice Leader, you’ll manage and grow a team of ML engineers, shape standards and best practices, and act as the bridge between leadership, HR, and engineering teams.
Key Responsibilities
- Build, lead, and mentor high-performing ML teams
- Recruit, onboard, and coach new team members
- Set objectives, conduct performance reviews, and drive career growth
- Evaluate and improve delivery processes, ensuring consistency across projects
- Collaborate with other managers and senior stakeholders across the company
- Identify skill gaps, arrange training, and foster a culture of continuous learning
- Ensure alignment with the company’s mission, vision, and values
- Represent the company at conferences, meetups, and community events
- Deep understanding of Python best practices and ML design patterns
- Proven experience across the full ML lifecycle: data preparation, model training, validation, deployment, and monitoring
- Experience with deep learning model development and transformer architectures
- Strong background in one or more domains: NLP, Computer Vision, Forecasting, Recommender Systems
- Expertise in agentic workflows, RAG, and GraphRAG architectures
- Practical experience with AWS or other cloud/open-source MLOps platforms
- Hands-on experience with model post-production: monitoring, retraining automation, and maintenance
- Familiarity with diverse data sources (OLTP, OLAP, DataLake, Streaming)
- Experience in DataOps or MLOps is a strong advantage
- Proven experience managing teams or departments in a technical environment
- Ability to coach, mentor, and define clear growth paths for engineers
- Strong communication and diplomatic skills — empathy, ethics, and conflict resolution
- Calm, structured, and reliable leadership style in high-pressure environments
- Confidence to explain complex ML decisions and roadmaps to non-technical stakeholders
- Attractive annual bonus based on performance
- Long-term B2B collaboration
- Fully remote setup
- Comprehensive private medical insurance or budget for your medical needs
- Paid sick leave, vacation, and public holidays
- Continuous learning support, including unlimited AWS certification sponsorship