398 jobs for “machine learning Bristol”
Isomorphic Labs London
Lead formulation strategy for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to improve solubility, stability and manufacturability. Interpret stability studies using ICH and ASAP methods, author regulatory submissions, and work with external CROs alongside AI/ML drug design teams.
Isomorphic Labs London
Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with AI/ML drug design platform teams in a hybrid London setting.
Relation Therapeutics London
Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, MLOps infrastructure and scientific compute environments for machine learning and drug discovery. Set architectural strategy, mature CI/CD and observability, and own platform security and data governance for sensitive patient-derived data, reporting to the VP of Engineering.
Latent Labs London
Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.
Harnham - Data and Analytics Recruitment London £100,000 – £140,000 pa
Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable, production-deployed AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.
Michael Page Technology London £62,000 – £75,000 pa
A brand new AI Engineer role within a 20-person AI team in the financial sector, designing and deploying production-scale GenAI and machine learning solutions. Day to day involves building scalable AI models, integrating AI into existing systems, analysing large datasets, and collaborating with cross-functional teams and stakeholders. The tech stack centres on Azure services and Python or C#.
Tenth Revolution Group London £75,000 – £105,000 pa
Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.
Data Idols London £105,000 – £120,000 pa
Hands-on technical leadership role driving the design, development and deployment of AI, Machine Learning and Generative AI solutions, including LLMs and agentic AI. Partners with business and technology stakeholders to identify high-value use cases, prototype rapidly and take solutions through to production, while shaping the AI technical roadmap and engineering best practices.
McGregor Boyall London £115,000 pa
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.
Eclectic Recruitment Royston £58,000 – £60,000 pa
Owns AI security initiatives within a Cyber Security and Compliance team, evaluating and integrating AI security tooling and defending against threats like prompt injection, data leakage and model poisoning. Also builds AI-driven detection, vulnerability management and incident response, running threat modelling and adversarial testing of AI systems.
Matchtech United Kingdom
Designs, develops and verifies FPGA firmware for complex electronic systems on Defence and Security programmes, working in multidisciplinary teams within highly regulated environments. Uses Xilinx, Verilog, SystemVerilog, TCL and UVM, integrating high-speed interfaces such as PCIe, Ethernet and JESD, with MATLAB/Simulink model-driven engineering and DO-254-aligned processes.
Tenth Revolution Group London £85,000 – £110,000 pa
Designs and evolves AWS-based data architectures while supporting AI, machine learning and agentic AI initiatives. Drives data governance, observability, quality and lineage standards, acting as a trusted technical advisor to customers and shaping architecture, tooling and best practices across the platform.
Harnham - Data and Analytics Recruitment London £80,000 – £85,000 pa
Design, build and deploy scalable AI and machine learning solutions from concept to production, including Generative AI applications using LLMs and orchestration frameworks. Write production-grade Python, apply MLOps practices such as CI/CD, containerisation and monitoring, and build data pipelines for training, fine-tuning and inference. Work hybrid in London alongside data scientists, engineers and business stakeholders on large-scale datasets.
Relation Therapeutics London
Join the Platform Team to design and scale Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services and APIs. You will own CI/CD pipelines, monitoring, backup and disaster recovery, and work closely with Machine Learning and Data Science teams to support their computational needs.
Michael Page London £60,000 – £75,000 pa
This role involves designing, developing, and implementing AI-driven solutions to address complex business challenges. You will collaborate with cross-functional teams, research advanced machine learning algorithms, and analyze large datasets to drive data-driven decision-making. The role is part of a growing AI team of 20, working on new projects and products.
