About AI jobs
The UK AI hiring market in 2026 is dominated by three forces: enterprise LLM adoption, applied ML in fintech and life sciences, and a steady demand for MLOps engineers who can put models into production. Of the 63 AI jobs currently listed on Geekery.io, the largest segment is machine learning engineering — Python-first roles that sit closer to software engineering than to data science. These typically ask for PyTorch or TensorFlow, plus a working knowledge of cloud ML platforms (AWS SageMaker, Vertex AI, or Azure ML).
The second-largest cluster is NLP and LLM-specialist roles, driven by GenAI product teams inside consultancies, banks, and media companies. These jobs almost always require hands-on experience with transformer fine-tuning, RAG pipelines, and at least one vector database. Expect salary bands of £26,227–£120,000 for mid-level NLP engineers and no data for senior or expert-level specialists.
The third, and fastest-growing, cluster is MLOps and ML platform engineering. These roles blend classical DevOps with ML-specific tooling — feature stores, model registries, GPU orchestration, drift detection, and CI/CD for ML pipelines. MLOps engineers in the UK earn a median £70,000, with senior roles reaching £110,000+ in London. They’re especially concentrated in Cambridge, Edinburgh, and Manchester, where biotech, fintech, and large enterprise employers cluster.
A fourth category worth noting is applied AI in regulated industries — drug discovery, medical imaging, fraud detection, and credit scoring. These roles often pay a 10–20% premium over equivalent non-regulated ML jobs because of the domain knowledge required and the smaller talent pool.
UK AI hiring is also noticeably remote-friendly — roughly 40% of the AI jobs listed on Geekery.io offer full remote working within the UK, and another 25% offer hybrid arrangements. If you’re targeting a specific city, the biggest concentrations are in London, Cambridge, Manchester, Edinburgh, and Bristol, in that order. Senior and expert-level AI roles are disproportionately London-based because most of the GenAI product teams sit there.
Whether you’re an experienced ML engineer looking for your next challenge or a data scientist moving into your first applied AI role, the listings below are filtered by recency and include salary bands where employers have shared them. Use the filters on this page to narrow by city, remote, salary band, or seniority level.
