AI, Data & Defence Engineering Roles
Engineer to Managing Consultant | Defence, National Security & Critical Infrastructure
London, Newcastle, Manchester, Glasgow
We are supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced analytics solutions across Defence, National Security, and critical government programmes. The focus is on building, deploying, and operating production-grade systems that support real-world Defence capability.
We are hiring across Engineer, Senior Engineer, Consultant, Senior Consultant, and Managing Consultant levels. All roles remain technically hands-on, with scope for leadership depending on experience.
The Role
You will work as part of multidisciplinary engineering teams delivering AI, data platforms, and analytics solutions in secure environments. Depending on level, you will either contribute directly to engineering delivery or lead technical workstreams.
Key responsibilities include:
* Designing, building, and deploying data pipelines, analytics platforms, and AI/ML solutions for Defence and National Security clients.
* Developing and productionising machine learning, advanced analytics, and decision-support systems, including Generative and Agentic AI where appropriate.
* Working with Defence stakeholders to translate o6perational and capability requirements into robust technical solutions.
* Supporting MOD capability and acquisition programmes, aligned to the CADMID lifecycle, ensuring engineering solutions meet operational needs.
* Implementing and maintaining secure, scalable architectures in collaboration with cloud, platform, and security teams.
* Applying DevOps and MLOps practices to support reliable, auditable, and maintainable deployments.
* Contributing to technical design reviews, estimates, and solution documentation.
* Supporting proposals and technical inputs to bids where required.
Your Profile
We are keen to speak with engineers who combine strong technical foundations with experience working in secure or regulated environments.
Core Technical Experience
* Strong engineering background in data engineering, analytics engineering, or applied data science.
* Hands-on experience with cloud data platforms, including AWS, Azure, GCP, and/or Databricks.
* Proficiency in Python (and ideally PySpark); experience with R beneficial but not essential.
* Experience building end-to-end data pipelines, feature engineering, and production ML workflows.
* Exposure to Generative AI, LLMs, or agent-based systems, including orchestration and integration into wider platforms.
* Understanding of DevOps / MLOps practices, CI/CD, monitoring, and model governance.
Defence & Secure Environment Experience
* Experience delivering technical solutions within MOD, Defence suppliers, Defence consultancies, or other secure public-sector environments.
* Understanding of MOD capability and requirements management, including artefacts such as URDs, SRDs, ITEAPs, and RAMS.
Consulting & Leadership (level-dependent)
* Comfortable engaging with technical and non-technical stakeholders.
* Experience leading small engineering teams or technical workstreams (for senior levels).
* Exposure to estimation, technical assurance, and mentoring of junior engineers.
Security Clearance
* SC clearance is required
* DV clearance is preferred and may be required for specific assignments.
* Some roles may be restricted to sole UK nationals.