Data / ML Engineer (DV / eDV)
Role details
Job location
Tech stack
Job description
If you're working in data or ML and feel like you're building pipelines or models that never quite make it into real-world use, this is the kind of environment that changes that.
We're supporting a number of product-led Defence and National Security organisations in London, building advanced data platforms and ML-driven capabilities used in high-impact, real-world scenarios.
These teams tend to sit closer to the product and the end user, rather than operating as internal support functions.
What's different about these roles?
You're building things that actually get used.
These environments are typically:
Product-focused, with a strong engineering bar
Set up for faster iteration than traditional programmes
Focused on delivering usable outputs, not just research or theory
For engineers coming from large programmes or financial services, it's often a shift towards more ownership and faster feedback loops.
What you'll be doing
This will vary depending on the team, but typically includes:
Building and maintaining scalable data pipelines
Developing and deploying ML models into production environments
Working closely with engineers, analysts, and end users to shape solutions Improving data availability, quality, and performance
Contributing to the design of data platforms and ML systems
As with most roles in this space, some high-side working and client interaction will be involved.
Requirements
Python (core language for data and ML)
Data processing frameworks (Spark, Pandas)
Cloud platforms (AWS, sometimes Azure)
ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Data pipelines and orchestration tools
What they're looking for
Experience in Data Engineering, ML Engineering, or a hybrid role
Strong Python skills and experience working with data at scale
Experience deploying models or data products into production
Comfortable working in fast-moving, product-focused teams
Active DV or eDV clearance is typically required.
Why it's worth considering
Work on genuinely impactful data and AI-driven products
Move closer to product and end-user outcomes
Strong engineering environments with high technical standards
Base salaries between £110,000 - £120,000
Additional DV bonuses, company bonus, and full benefits
If you're looking to move into a more product-driven environment where your work actually gets used, happy to talk through the different teams we're supporting.