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AI / ML Engineer

AI / ML Engineer

Delve into innovative strategies for market expansion that go beyond traditional approaches, driving growth and market differentiation.

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The Role

An AI-native company building LLM-powered products for enterprise clients is looking for a talented AI/ML Engineer to join their small but highly capable engineering team. You will work directly on their core AI models, RAG pipelines and inference infrastructure — making a direct impact on the product experience for thousands of enterprise users.

This is a hybrid role based in London with 2-3 days per week in their Shoreditch office.


Key Responsibilities

  • Design and implement LLM pipelines, RAG systems and fine-tuning workflows

  • Build and maintain ML infrastructure for training and inference at scale

  • Evaluate model performance and implement improvements

  • Collaborate with product and engineering teams to ship AI features

  • Stay current with latest research and identify relevant techniques to productionise

  • Document experiments, models and architectural decisions


Requirements

  • 3+ years experience in ML engineering or applied AI research

  • Strong Python skills and deep knowledge of PyTorch or TensorFlow

  • Hands-on experience with LLMs — fine-tuning, RAG, prompt engineering

  • Experience with vector databases (Pinecone, Weaviate, Chroma or similar)

  • MLOps experience — model deployment, monitoring and versioning

  • Strong mathematical foundations — linear algebra, probability, statistics

  • Right to work in the United Kingdom


Skills & Technologies

PythonPyTorchLLMsRAGFine-tuningLangchainVector DBsMLOpsHugging Face


What's On Offer

  • Salary £85,000 – £115,000 depending on experience

  • Significant equity package

  • Hybrid — 2-3 days London office, rest remote

  • Conference and research budget £3,000 per year

  • Private health insurance and dental

  • 25 days holiday plus bank holidays


Apply for This Role

Send your CV to Swift Talent Partners and we'll be in touch within 24 hours.

✉ talent@swiftra.uk