MLOps Engineer at BAE Systems

Barrow-in-Furness, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, CI/CD, Kubernetes, MLflow, GitLab CI/CD, OpenShift, Vault, Prometheus, Grafana, Loki, Model Lifecycle Management, Data Pipelines, Cloud-Native Infrastructure, Model Monitoring, Data Governance, Version Control

Industry

Defense and Space Manufacturing

Description

Job Title: MLOps Engineer Location: UK Wide - Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Competitive Who we are: 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. Job Description: 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. Core duties: Tracking and managing ML models through version control and registries Staying updated on AI advancements and exploring innovative techniques to improve existing solutions Incorporating governance of data into routine processes Supporting the address of complex problems and to inform strategic and operational decision making Supporting the design and support for the upgrade, management, decommission of AI models Essential Skills: Knowledge of the data landscape within the sector and how data sets may interact Experience of working in an IT Function Demonstrates excellent domain expertise in MLOps, including; model lifecycle management, CI/CD for machine learning, data pipelines and cloud-native infrastructure Experience applying best practices from industry bodies of knowledge (e.g. DevOps, ML engineering standards) alongside orgainsational processes to deliver scalable, reliable ML systems Experience applying knowledge on topics such as; model monitoring. reproducibility, governance and automation, whilst absorbing emerging tools, frameworks and methodologies incorporating them into practice Clear understanding of the broader business contest, ensuring ML solutions align with product, operational and commercial goals 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 The Data and Analytics Team: 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. Why BAE Systems? 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. A place where everyone can thrive: 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. Closing Date: 28th May 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-NB1 #LI-hybrid

Responsibilities

Implement and automate deployment pipelines for machine learning models to ensure scalability and production integration. Manage model versioning, registries, and data governance while supporting the lifecycle of AI models.