Machine Learning Jobs

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents and reinforcement learning, with model training and inference engineering in JAX, PyTorch or TensorFlow. Depending on experience, you may also lead standalone projects, mentor ML researchers and shape the research roadmap.

JAX · PyTorch · TensorFlow +3

• United Kingdom
• Remote
• Senior

Serves as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Works hands-on with researchers on large language model training, fine-tuning, inference and agentic workflows at supercomputing scale, delivering workshops and mentoring power users. Involves around 30% travel and close collaboration with research labs and university faculty.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

• London
• Hybrid · 3 days in office
• Mid-level
• Permanent

Join OpenAI's Training team in London to push the frontier of LLM development for flagship models, enhancing intelligence, efficiency, and adding new capabilities. The role involves designing and scaling new architectures, running experiments, debugging regressions, and optimizing model and computational performance, with a hybrid schedule of three days in the office per week.

• Bristol
• Hybrid · 2 days in office
• £450 – £480 pd
• Senior
• Contract

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Works across NLP, computer vision and voice AI, building ML pipelines and production deployment with MLOps, guardrails and Responsible AI governance. Also acts as senior lead, grooming the internal team and collaborating with stakeholders.

TensorFlow · PyTorch · OpenAI +5

• London
• Remote
• £432 – £484 pd
• Senior
• Contract

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role spans PII/MNPI sanitisation, prompt-injection defence, Python or Java GenAI and ML solutions, AWS/Azure data pipelines with Airflow, plus roughly 20-25% frontend and UI work for guardrail tooling, alongside production support and evaluation metrics.

AWS · Azure · Apache Airflow

• London
• Hybrid
• £115,000 pa
• Lead

Hands-on role designing, developing and deploying production-grade Generative AI and Agentic AI solutions within a global technology consultancy's Data & AI practice. Combines Data Science and Machine Learning foundations with modern software engineering, including Python APIs, microservices, RAG architectures, vector databases and MLOps, while influencing solution architecture and working directly with clients on AI transformation projects.

LangGraph · CrewAI · AutoGen +7

• London
• Hybrid · 2 days in office
• £85,000 – £90,000 pa
• Senior

Builds and scales customer-facing data products on an Azure Databricks lakehouse, combining Spark pipelines, Unity Catalog governance and LLM features such as RAG, semantic search and recommendation engines. Acts as a bridge between product, commercial and engineering teams, mentoring juniors and shaping data monetisation strategy.

Azure Databricks · Azure · Unity Catalog +7

• London
• Remote
• £80,000 – £95,000 pa
• Senior
• Permanent

Hands-on senior role in a newly formed team building applied Generative AI products for synthetic data generation and augmentation. You will design, validate and productionise LLM-based solutions, working closely with Product and Engineering, and communicate methodology to non-technical stakeholders. High autonomy and end-to-end ownership from problem definition to delivery.

RAG

• Cork, Ireland
• Hybrid · 3 days in office
• Senior

Lead the design and deployment of scalable AI solutions, including LLM-powered applications such as enterprise search, document summarization and conversational AI. Work spans model fine-tuning, prompt engineering, RAG architectures with vector databases, and MLOps deployment, while mentoring engineers and shaping enterprise AI strategy. Hybrid role based in Cork with three days per week in the office.

Azure OpenAI · Azure ML · Hugging Face +7

• London

Customer-facing AI engineering role delivering professional services engagements, helping clients build and productionize GenAI applications such as RAG, multi-agent systems and Text2SQL. Works cross-functionally with product and engineering to shape roadmaps, and acts as a trusted technical advisor, with occasional travel to customer sites.

Databricks · HuggingFace · LangChain +7

• Cambridge
• Hybrid
• Permanent

Builds AI prototypes combining multiple components to solve complex, nuanced tasks, integrating novel agentic technologies such as memory usage and personalisation. Productionises solutions into reusable libraries and frameworks, shipping features and tools for large enterprise customers from day one. Works with LLMs like GPT, Claude and Mistral in a fast-moving, quality-focused team.

GPT · Claude · Mistral

• London
• Hybrid · 3 days in office
• £825 pd
• Senior
• Contract

Hands-on VP-level data scientist building generative AI, LLM and statistical modelling products for M&A and advisory bankers, taking solutions from prototype to production. Requires strong Python, production delivery and direct work with senior stakeholders in a demanding deal environment, with at least three days a week in the London office.

• Manchester
• Senior · manages people

Lead technical delivery of AI, machine learning and data science solutions for major financial services clients, including architecture design, production model deployment and mentoring small teams of data scientists. The client-facing role also involves senior stakeholder engagement, business development and thought leadership, using Python, SQL, Pandas, Scikit-Learn and Spark, with LLM, prompt engineering and RAG knowledge advantageous.

Pandas · Scikit-Learn · Spark

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops and evaluates methods for reliable, localised and generalisable knowledge updating in large language models, adapting techniques such as ROME and MEMIT and comparing them with RAG, external memory and fine-tuning. Experiments use open-weight models on RTX 6000 Ada GPUs and UEA HPC, assessed on benchmarks like CounterFact and zsRE for efficacy, generalisation, locality and retention, with optional deployment in social robots such as Furhat.

ROME · MEMIT · RAG +5

• Manchester
• £550 – £600 pd
• Senior
• Contract

Contract role building and deploying scalable AI/ML applications in a cloud environment, with hands-on work in Python, PyTorch and GCP. Involves Generative AI solutions using transformer architectures, RAG and agent frameworks like ReAct, plus MLOps tasks such as CI/CD pipelines, model registries, monitoring and drift detection. Also covers containerising models with Docker, KServe and Vertex AI, GPU scheduling and canary or shadow deployments.

GCP · Docker · KServe +3