Job Overview

AI / ML Engineers build, evaluate, and deploy machine‑learning systems at scale. The day‑to‑day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active area of UK ML hiring in 2025–2026.

Responsibilities

• Train, evaluate, and deploy machine‑learning models in production.
• Work across LLMs, computer vision, recommender systems, and forecasting.
• Specialise into ML research, MLOps, applied ML, or generative AI.
• Work for UK AI labs (DeepMind, Anthropic), fintechs, scale‑ups, and major corporates.

Skills & Qualifications

• Reading and i...