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:
- Salary up to £90,000 dependent on experience
- Bonus
- 25 day holiday
- Private healthcare (Bupa)
- Pension contribution
- Strong career progression in a scaling platform
- Social, tight-knit team culture with regular events and Friday early finishes
- Strong relocation support for UK-based candidates
Must have UK right to work (no sponsorship a available)
#J-18808-Ljbffr…