AI / ML Engineer

AI / Machine Learning Engineer | Applied AI Systems | Newcastle (Onsite)

We’re working with a high-calibre engineering team building production-grade AI systems for complex, real-world environments, where performance, reliability, and security matter just as much as model capability.

This is not a “prototype and demo” AI role. You’ll be working on deployed machine learning systems and LLM-based applications, focused on making modern AI usable in constrained, secure, and high-trust environments.

The team is building systems that go beyond model development—into inference optimisation, agentic workflows, evaluation, and real-world deployment constraints (including edge and air-gapped environments.

What you’ll be doing

You’ll work across the full lifecycle of applied AI systystems

Designing and building machine learning systems and production AI services
Working deeply with LLMs in real-world deployment settings
Building and optimising inference pipelines for performance and efficiency
Developing agent-based systems, retrieval pipelines, and prompt-driven workflows
Creating evaluation frameworks to measure model and system perform
Contributing to how AI systems are deployed in constrained and secure environments
Working closely with engineers to move from research concepts to production systems

Technical focus

We’re looking for strong capability across several of the following

Strong foundation in machine learning fundame
Excellent software engineering and system design skills
Experience with MLOps practices and production ML systems
Deep understanding of LLM internals and inference optimisation, including
KV caching
Speculative decoding
Experience fine-tuning and evaluating LLMs (advantageous)
Building LLM systems including: Prompt engineering and design
Agentic work flows
Evaluation harness
Retrieval-augmented generation (RAG) pipelines
Experience working in edge, constrained, or air-gapped environments (advantageous)
Interest or exposure to AI safety, security, or explainability (advantageous)

Why Newcastle:

This is a full-time onsite role (Mon–Fri) in a modern engineering hub based in central Newc

astle. The environment is designed for deep technical work in a collaborative, high-calibre engineering team.

Modern office with excellent facilities
Social but focused engineering culture
Many recent relocations and strong support network
Stable working hours (09:00–18:00) with flexibility where needed
Strong relocation support for UK-based candidates

What they’re looking for:

We’re looking for engineers who combine ML depth with strong systems thinking
Strong grounding in machine learning theory and practice
Excellent Python / systems engineering ability
Ability to design and ship production AI systems end-to-endCuriosity about how LLMs actually work under the hood.
Pragmatic mindset—focused on performance, reliability, and usability
Comfortable working across research concepts and production constraints
Strong communicator who can work across technical teams
Excellent academic record with 2:1 or above from a Russell Group University or equivalent

Package: