5 of 5 Machine Learning Engineer Jobs in the City of London

Machine Learning Engineer Location – London (Hybrid) Do you have at least 5 years of experience as a AI & Machine Learning Engineer? Commercially minded with good business acumen alongside technical ability? Hold a Bachelor’s or Master’s degree in Computer Science, Data Science … Experience? (Ideal but not essential) The Role My client, (A Leading International Law Firm) both have an urgent requirement to appoint an experienced AI & Machine Learning Engineer to join their friendly and supportive Data Science team based at their prestigious offices based in Central London. ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

Senior Machine Learning Engineer - GenAI, LLM, RAG - 12 month contract Im looking for Machine Learning Engineers (and Senior Data Scientists with strong engineering capability) who have real, hands-on experience building GenAI applications end-to-end. Not just prototypes, but production systems. This ...

Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models ...

Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models ...