Data & ML Platform Engineer

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.

Digital | Defence | Security | Space

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.

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.

If you're passionate about technology and eager to shape the future — TEKEVER is the place for you.

Mission:

As a Data & ML Platform Engineer, you will play a critical role in designing, building and maintaining the infrastructure that power 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 (e.g. data pipelines, database schemas, Machine Learning systems, etc.)

Profile and requirements:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

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),

What we have to offer you:

At TEKEVER, we offer a comprehensive package designed to reward, support, and develop our people. This includes a highly competitive salary with a discretionary annual bonus and a company pension contribution match of up to 10%. To support your wellbeing, we provide 25 days annual leave plus Bank Holidays, Private Medical Insurance (with optional family cover), Private Dental care, and an Employee Assistance Programme. We are deeply committed to investing in future talent; our scale allows us to provide clear career development opportunities and dedicated initiatives to boost your skill sets, ensuring you remain future-ready for the evolving workplace. Furthermore, our team enjoys a flexible hybrid working model, typically three days a week at our core UK sites like Bristol, and access to a bespoke rewards platform featuring a variety of high street discounts and salary sacrifice schemes, including Electric Car, Cycle to Work, and Technology options.