Machine Learning Engineer (Remote)

60,000 - 80,000United KingdomMachine Learning Engineer | Production AI & LLM SystemsIf you're an ML Engineer who enjoys building, deploying and scaling AI systems in production, rather than just experimenting with models, this could be a great fit.

You'll work across ML Engineering, Software Engineering and Cloud Infrastructure, with real ownership over how AI services are built, deployed and operated.

Why it's interesting: Build and scale production AI/LLM systems, including RAG and agentic workflowsOwn the full engineering lifecycle, from Python development through to AWS deploymentWork with Python, FastAPI, AWS, Docker, CI/CD and infrastructure-as-codeSolve real engineering challenges around reliability, observability, performance and costInfluence technical decisions, improve engineering practices and grow towards Senior/Lead ownershipRemote flexibility with optional office accessWhat we're looking for: Strong Python engineering skills and experience building production servicesHands-on AWS, CI/CD, containers and cloud infrastructure experienceExperience deploying, monitoring and maintaining production ML/AI systemsExposure to LLMs, RAG or GenAI applicationsAn engineer who enjoys debugging complex systems and taking end-to-end ownershipIdeally 4+ years' experience, but technical depth and production engineering experience matter more than tenure.

This could suit someone coming from ML Engineering, MLOps, Platform Engineering or backend Software Engineering who wants to work closer to production AI.