Machine Learning Jobs

• Leicester
• Hybrid · 3 days in office
• Lead
• Permanent

Leads the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, driving prototypes through to production.

PyTorch · TensorFlow · Hugging Face Transformers +1

• Derby
• Hybrid · 3 days in office
• Lead
• Permanent

Leads the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, working hybrid from the Nottingham office three days a week.

PyTorch · TensorFlow · Hugging Face Transformers +2

• United States
• Remote
• US$180,000 – US$200,000 pa

Develop and improve production machine learning systems, designing, building and deploying models used in high-volume environments. Own experimentation frameworks and evaluation methodologies, research new techniques, and work with large-scale distributed data platforms using Spark and Python/SQL. Partner with Product and Engineering to translate business problems into data-driven solutions.

Spark

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM-powered workflows into production, making key architectural decisions within a small AI and Innovation team.

Python · React · TypeScript +1

• United Kingdom
• Hybrid
• Senior

Take technical ownership of AI projects for defence and security clients, designing and building agentic systems that search, interpret and act on information. Lead smaller projects, mentor junior engineers, and work directly with clients on proposals and new work. Requires SC clearance and UK residency.

• United Kingdom
• Hybrid
• Senior

Designs, builds and tests intelligent systems for defence and security clients, covering signal processing, radar, computer vision, transformers and edge AI. Takes technical ownership of significant project parts, mentors junior engineers, and works directly with clients on proposals and new work. Requires SC clearance and substantial time on-site.

Transformers · Edge AI

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for monitoring wild animal behaviour, including individual recognition and automated quantification of responses. Systems are benchmarked in controlled conditions then validated on wild jackdaws and field sites in West Africa, spanning ecology, electronic engineering and data science.

Thermal Imaging · AI · Machine Learning

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

A fully funded PhD studentship researching how small language models can become reliable agents for bounded business workflows, using harness optimisation and fine-tuning on traces from larger teacher models. The work measures reliability, cost, latency and data locality, and releases open tooling for UK SMEs, in collaboration with an industry research lab.

Large Language Models

• Switzerland
• Remote
• Senior

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

JAX · PyTorch · TensorFlow +4

• United Kingdom
• Remote

Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. The role involves hardware/software co-design with software, hardware and research teams, and scaling datacenter AI deployments, with heavy use of MLIR, C/C++ and Python.

MLIR · GPU · CPU +1

• London
• Senior

Optimise machine learning model performance across training and inference in a tech-centric prop trading fund. Work spans CUDA and GPU-level tuning, low-latency real-time inference, high-throughput research inference, plus storage, networking and host-level systems concerns within a growing ML team.

CUDA · PTX · SASS +7

• London
• Lead · manages people

Lead a team of data scientists while remaining hands-on, driving AI, NLP and Generative AI initiatives across a global legal services firm. You will build LLM, semantic search, RAG and deep learning solutions, plus scalable Python pipelines for structured and unstructured legal data, partnering with engineering, legal and business teams.

PyTorch · TensorFlow · SpaCy

• London
• Senior

Owns end-to-end delivery of AI initiatives, starting with a Class II medical device system combining an AI layer with deterministic components. Involves NLP, LLMs, knowledge graphs, evaluation pipelines and clinician review workflows, working closely with clinical, quality and product stakeholders in a regulated environment.

AWS · GCP · Azure +7

• London
• Senior

Own the end-to-end technical delivery of AI initiatives, starting with the Clinical Brain, a Class II medical device combining an AI layer with deterministic components. Work with clinical, quality and data teams on NLP, LLMs, knowledge graphs, evaluation pipelines and LLMOps, building to regulated safety and traceability standards.

Neo4j · Cypher · GraphRAG +6

• 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