MLOps Engineer

We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role

Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology‑led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us.

From the depths of the ocean, to the far reaches of space, there’s no limit to where a career at BAE Systems could take you.

This role focuses on implementing, managing and automating deployment pipelines for machine‑learning models, ensuring they are scalable, efficient and fully integrated into production environments. It supports the development and maintenance of CI/CD workflows tailored to ML, while overseeing model versioning, registry management and the incorporation of data‑governance practices into routine processes.

The role also contributes to solving complex problems and informing strategic and operational decisions through advanced AI capabilities. It provides support across the lifecycle of AI models—including design, upgrades, maintenance and decommissioning—while staying current with emerging AI techniques to enhance and evolve existing solutions.

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• You will have knowledge of the data landscape within the sector and how data sets may interact
  
• You will have experience of working in an IT Function
  
• You will have sound generic, domain and specialist knowledge necessary to perform effectively in the organisation typically gained from recognised bodies of knowledge and organisational information. Has an appreciation of the wider business context. Demonstrates effective application and the ability to impart knowledge found in industry bodies of knowledge and absorb new information and apply it effectively
  
• You will have skills in Kubernetes‑based deployment, ML lifecycle governance, observability using key tools such as MLflow, GitLab CI/CD, OpenShift/Kubernetes, Vault, Prometheus/Grafana/Loki
  

This is an opportunity to join a new part of the business, undertaking a new piece of work, introducing new technology into the wider BAE Business. Joining from the ground up, this is a chance to make your mark and the role your own. This role will provide the opportunity to grow the role & your responsibility into a wider scope or even specialise within a specific area.

Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make.

We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do.

Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.