Applied Machine Learning Engineer, EMEA
Looking for a machine learning engineer job in London? Choose from 34 open roles at 18 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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The roles on this page divide roughly into two clusters. One cluster is product-facing ML engineering: building, training, and evaluating models that ship inside real products. Wayve's postings, for instance, include simulation-focused roles and a performance tooling position centred on profiling and optimising model training and inference across cloud and embedded hardware. The other cluster sits closer to infrastructure and operations: designing and maintaining the pipelines, GPU clusters, and deployment systems that let models reach production. Anaplan's three postings cover this ground explicitly, from an MLOps engineer managing Kubernetes and CI/CD pipelines to a platform lead responsible for FinOps frameworks and generative AI deployment. A smaller strand covers domain-specific work: Mind Foundry's national security roles require onsite client engagement and comfort operating in ambiguous environments. Across all postings, the day-to-day work involves writing production code, making architectural decisions, and collaborating with cross-functional teams rather than pure research.
Python and model evaluation appear in the majority of these postings, and PyTorch, LLMs, and distributed training each appear in roughly half or fewer. GPU work, CI/CD, Docker, and Kubernetes cluster together, reflecting the infrastructure strand. PhD is mentioned in a minority of postings. All counts are mentions in descriptions across this sample of postings, not stated requirements, so the same posting may mention a skill without making it mandatory.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
Most postings on this page are listed as onsite, a smaller share are hybrid, and a minority are fully remote. No posting has an unknown work mode. Onsite roles include the Mind Foundry national security positions, which explicitly name London and client-facing work as reasons for the arrangement. The Anaplan MLOps postings do not state a work mode in the sample summaries, so candidates should confirm arrangements directly. Where hybrid or remote is listed, the specific days in-office or geographic constraints are not stated in the fact pack.
Jobs checked 1 day ago. · Guide reviewed 9 September 2026.
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