8 of 8 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. ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … dynamic environment.We are building a next-generation inventory prediction & replenishment optimization platform to support JD’s global fulfilment services. We are looking for a Machine Learning Engineer who are passionate about turning machine learning, and research into real, large-scale business impact.As a Machine ...

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 ...

fail to prevent fraud. We are changing this by providing organisations with real‐time insight into the risk of a caller. We combine patented machine learning technology with our deep domain knowledge to prevent contact centre fraud and streamline customer experience. We recognise that we need to work … across a variety of tasks from data science research and model development through to platform implementation and maintenance. You will use your knowledge of machine learning algorithms, frameworks, and methodologies to research and develop models for our cloud‐based authentication and fraud systems, continuously iterating and evaluating model ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.We are seeking a Machine Learning Team Lead with strong expertise in search and recommendation systems. In this role, you will lead a team of algorithm engineers, driving ...

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 ...