Data & ML Platform Engineer in London

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.

Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards. At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making.

As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that powers our data processing pipelines and machine learning workflows that support our data-driven initiatives, as well as supporting the evolution of our Data & AI Platform. You will work at the intersection of data engineering, MLOps, and platform development and ensure that our data & AI infrastructure is robust, scalable and efficient. The ideal candidate will have a strong background in platform engineering, with experience in data science, machine learning and or data engineering.

What Will Be Your Responsibilities

• Data and ML infrastructure: Design and implement scalable data and ML infrastructure using modern cloud and on-prem distributed technologies and frameworks.
• Data Pipeline Development: Design, develop and maintain scalable and efficient data pipelines to collect, process and store large volumes of data from various sources.
• Database Management: Manage and optimize databases and data warehouses to ensure data integrity, performance and availability.
• Data Integration: Integrate data from multiple sources, including APIs, databases and external data providers, to create unified datasets for analysis.
• Self-Service Tools: Develop self-service tools that enable stakeholders to extract insights from Data and Machine Learning models.
• Data & AI Platform development & expansion: support the expansion of our Data & AI Platform.
• Security & Compliance: Ensure data security, privacy, and compliance.
• Data Quality Assurance: Implement data validation and quality assurance processes to ensure the accuracy and consistency of data.
• Collaboration: Work closely with data scientists, analysts and other stakeholders to understand platform requirements and provide the necessary data infrastructure and support.
• Monitoring & Performance Optimization: Implement monitoring, observability, and alerting for data and ML systems and optimize for performance, reliability, and cost-effectiveness.
• Documentation: Maintain comprehensive documentation of platform components, APIs, and workflows to ensure knowledge sharing and user adoption.

Profile And Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Preferred location of working: UK, Portugal, France and/or Spain.
• Experience: 3+ years of experience in data & ML platform engineering or a similar role.
• Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering scalable and efficient data solutions.
• Communication: Excellent 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 data quality and accuracy.
• Adaptability: Ability to work in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

Technical Skills

• Proficiency in programming languages such as Python, Go, Java, or Rust.
• Strong knowledge of containerization technologies (e.g. Docker) and orchestration systems (e.g. Kubernetes) in production environments.
• Experience with SQL, database management systems (e.g., MySQL, PostgreSQL, SQL Server), data modeling and schema design.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud.
• Familiarity with big data technologies (e.g. Spark), data warehousing solutions, data pipeline orchestration (e.g. Airflow), and database systems (SQL and noSQL).
• Design and manage MLOps pipelines to support model training, deployment and monitoring at scale.
• Experience implementing observability stacks and logging pipelines (e.g., Prometheus, Grafana, Loki, ELK).
• Experience with IaC frameworks (e.g. Ansible, Terraform).
• Understanding of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc.

What We Have To Offer You

An excellent work environment and an opportunity to make a difference; Salary compatible with the level of proven experience.