ML Engineering Lead in Bristol

Are you ready to revolutionise the world with TEKEVER? At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting‑edge advancements meet unparalleled innovation. We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space. We offer a unique surveillance‑as‑a‑service solution that delivers real‑time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments — whether at sea, on land, in space, or in cyberspace. Become part of a dynamic, multidisciplinary, and mission‑driven team that is transforming maritime surveillance and redefining global safety standards.

As the ML Engineering Lead, you will be responsible for leading a team of machine learning engineers in the design, development, deployment and maintenance of machine learning models and systems. You will work closely with data scientists, software engineers and other stakeholders to ensure the successful implementation and integration of ML solutions. The ideal candidate will have a strong background in machine learning, software engineering and team leadership.

What will be your responsibilities:

• Team Leadership: Lead, mentor and develop a team of machine learning engineers, fostering a collaborative and innovative work environment.
• Project Management: Oversee the end‑to‑end lifecycle of machine learning projects, from concept to deployment, ensuring timely delivery and high‑quality outcomes.
• Model Development: Collaborate with data scientists to design and implement robust and scalable machine learning models and algorithms.
• System Architecture: Define and implement the architecture for ML systems, ensuring they are scalable, reliable and efficient.
• Deployment: Oversee the deployment of machine learning models into production environments, ensuring seamless integration and performance.
• MLOps: Develop and maintain ML operations processes, including CI/CD pipelines, monitoring and automated retraining systems.
• Performance Optimization: Optimize ML models and systems for performance, efficiency and scalability.
• Collaboration: Work closely with cross‑functional teams, including data science, software development, product management and IT, to define requirements and deliver solutions that meet business and technical needs.
• Innovation: Stay current with the latest advancements in machine learning and AI technologies and drive the adoption of best practices and new techniques within the team.
• Documentation: Ensure comprehensive documentation of models, algorithms, processes and systems for future reference and reproducibility.

Profile and requirements:

• Education: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
• Experience: 5+ years of experience in machine learning, software engineering, or a related field, with specific experience in leading teams and managing projects.
• Technical Skills: Strong programming skills in Python, as well as Go, Rust, R, Java or a similar language. Strong proficiency in machine learning and deep learning frameworks such as TensorFlow, TensorRT, PyTorch, or scikit‑learn. Strong knowledge of ML model development, training and deployment processes. Knowledge of software development best practices and tooling, including DevOps, version control (e.g., Git), continuous integration/continuous deployment (CI/CD), telemetry and monitoring, containerization (Docker, Kubernetes) and infrastructure as code (IaC). Familiarity with relevant tooling such as ClearML for ML lifecycle management. Experience with experimentation platforms such as Jupyter Notebooks. Knowledge of data engineering concepts and tools for data preprocessing and ETL. Experience in getting machine learning products to production. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud), with a focus on Google Cloud.
• Analytical Skills: Excellent analytical and problem‑solving skills with the ability to design innovative solutions to complex problems.
• Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with technical and non‑technical stakeholders.
• Language Requirements: Advanced proficiency in Portuguese and English, with proven fluency at the C2 level in both languages.
• Attention to Detail: High attention to detail and a commitment to ensuring the accuracy and quality of work.
• Adaptability: Ability to thrive in a fast‑paced, dynamic environment and manage multiple projects simultaneously.

What we have to offer you:

• An excellent work environment and an opportunity to create a real impact in the world.
• A truly high‑tech, state‑of‑the‑art engineering company with flat structure and no politics.
• Working with the very latest technologies in Data & AI, including Edge AI, Swarming - both within our software platforms and within our embedded on‑board systems.
• Flexible work arrangements.
• Professional development opportunities.
• Collaborative and inclusive work environment.
• Salary compatible with the level of proven experience.