Lead MLOps Engineer at BAE Systems

Preston, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

55000.0

Posted On

23 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, MLOps, CI/CD, Gitlab CI/CD, MLflow, OpenShift, Vault, Prometheus, Grafana, Loki, Model Governance, Observability, LLM Deployment, Model Registry, Inference Services

Industry

Defense and Space Manufacturing

Description

Job Title: Lead MLOps Engineer Location: Preston. We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Circa £55k depending on skills and experience What you’ll be doing: Operationalise model and LLM deployment with CI/CD, governance, monitoring and promotion controls Build CI/CD pipelines for ML and LLM services using Gitlab runners Manage model lifecycle: versioning, promotion and rollback across environments Operate MLflow tracking and model registry Deploy inference services into OpenShift with monitoring and alerting Integrate secrets and credentials securely via Vault Your skills and experiences: Essential: Knowledge of Kubernetes-based deployment ML lifecycle governance and observability Use of tools such as MLflow, GitLab CI/CD, OpenShift/Kubernetes, Vault, Prometheus/Grafana/Loki Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Data & Analytics team: This is an exciting opportunity to join a newly formed part of the business leading a major programme to introduce new technologies across the wider BAE organisation. As part of a growing team focused on deploying AI and advanced analytics, you’ll help shape how the role evolves and make a meaningful impact from day one. The position offers the flexibility to expand your responsibilities over time or specialise in an area that aligns with your career ambitions. Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. 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. Closing Date: 9th March 2026 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. #LI-NP1 #LI-Hybrid

Responsibilities

The role involves operationalizing model and LLM deployment using CI/CD, governance, monitoring, and promotion controls, including building pipelines with Gitlab runners. Responsibilities also cover managing the model lifecycle, operating MLflow tracking, and deploying inference services into OpenShift with monitoring.