Latest ML Architect Jobs

Security Engineering Manager, London or Lausanne

Lead and scale a security engineering team at the forefront of AI-driven drug discovery, designing and implementing a robust, AI-first security architecture. Translate complex scientific and business objectives into secure, automated systems while enabling high-velocity research in a regulated, cloud-native environment. Collaborate closely with ML researchers, medical teams, and Google/Alphabet partners to secure cutting-edge digital biology platforms.

Isomorphic Labs United Kingdom

Hybrid Permanent

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Staff SRE, AI Infrastructure

Design and implement monitoring, logging, and alerting systems to enable rapid detection and recovery. Build dashboards that reflect real user-centric platform health. Improve deployment safety through better change management, validation, and rollback mechanisms.

Wayve London, United Kingdom

On-site Permanent

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Staff Tech Lead Manager, Machine Learning, Vision Models

Lead a team building offline scene understanding models to evaluate and improve Wayve's autonomous driving systems. Develop robust, scalable models that leverage high-compute environments to generate counterfactual insights, assess driver behaviour, and inform model development. Work across UK and US teams to unify technical direction and accelerate the AV development loop through rigorous ML engineering and cross-functional collaboration.

Wayve London, United Kingdom

Software Engineer (LLM Engineering), London

This role involves building and scaling LLM-integrated systems to support AI-driven drug discovery. You'll design secure, scalable infrastructure, develop agentic tooling and RAG systems, and collaborate with scientists to translate research needs into technical solutions. The position emphasizes first-principles thinking and innovation in generative AI applied to complex biological data.

Isomorphic Labs London, United Kingdom

Staff AI Engineer - AI Transformation

This role involves designing and building a production-grade agentic operating system to transform how Multiverse functions internally. You'll architect multi-agent coordination, tool integrations, evaluation frameworks, and cost-efficient AI systems that serve as a blueprint for AI-first operations. The position emphasizes full-stack delivery, technical mentorship, and close collaboration across engineering and product teams to ship high-impact AI systems that redefine organizational workflows.

Multiverse London, United Kingdom

Hybrid Permanent Clearance Required

Staff AI Engineer , Edinburgh

This role involves designing and building a production-grade internal agentic operating system to transform how Multiverse functions as an AI-first organisation. You'll architect multi-agent coordination, evaluation frameworks, cost-efficient systems, and integrations across existing platforms, while setting technical standards and mentoring engineers. The work directly shapes both internal transformation and the broader blueprint for AI adoption in workforce development.

Multiverse Edinburgh, Alba / Scotland, United Kingdom

Hybrid Permanent Clearance Required

ML Systems Engineer

Develop and maintain a software 'digital twin' to model and benchmark a high-speed knowledge layer for agentic AI systems. Design and run experiments to evaluate performance improvements from semantic memory, using GraphRAG and enterprise knowledge graphs, while aligning software models with hardware development. Produce rigorous benchmarks and evidence for technical validation, fundraising, and pilot support.

ic resources Edinburgh, United Kingdom

On-site Permanent

ML Runtime Engineer

Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch, vLLM, and SGLang. Work closely with hardware and ML teams in a co-design environment to deliver high-performance inference solutions. Build low-level systems in Rust while contributing to the full software stack for next-generation AI hardware.

Fractile London, United Kingdom

Hybrid Permanent

ML Runtime Engineer

Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to enable high-performance inference. Build low-level systems in Rust and contribute to cutting-edge AI infrastructure.

Fractile Bristol, United Kingdom

Hybrid Permanent

AI/ML Engineer

Develop and deploy novel AI/ML solutions in high-impact domains such as Defence and National Security. Work across the full R&D lifecycle, from translating academic research into prototypes to building production-grade systems using Python. Collaborate with multidisciplinary teams and contribute to technical strategy, customer engagements, and proposal development.

CBSbutler Holdings Limited trading as CBSbutler Romsey, Hampshire, United Kingdom £65,000 pa

Data Scientist (AI / ML) - Near Edinburgh - 42K, Bonus

This role involves designing, developing, and evaluating machine learning models and analytical solutions within a collaborative R&D environment. The Data Scientist will bridge the gap between data science and product teams, translating AI strategies for stakeholders and integrating ML solutions into global product development. The position offers exposure to innovative technologies and real-world applications of AI/ML in an internationally used product suite.

Lorien Stockbridge, City Of Edinburgh, Edinburgh, United Kingdom £35,000 – £42,000 pa

Hybrid

Senior AI/ML Engineer

This role involves leading AI/ML research and development projects from concept to deployment, applying cutting-edge techniques in computer vision, NLP, reinforcement learning, and large language models to real-world challenges in defence and national security. The engineer will develop solutions using Python, provide technical leadership, mentor junior team members, and collaborate with multidisciplinary teams. Work includes strategic contribution to solution design, bids, and engineering innovation in a hybrid environment.

Copello Southampton, Hampshire, United Kingdom £60,000 – £65,000 pa

Sr Staff ML Forward Deployed Engineer, Enterprise GenAI

This role involves owning and developing large new areas of Scale AI's enterprise Generative AI platform, working across backend, frontend, and ML systems. The engineer will solve complex scalability and reliability challenges while rapidly delivering high-quality experiments. Close collaboration with customers and engagement across the full product lifecycle—from concept to production—is expected.

Scale AI London, United Kingdom

Hybrid Permanent

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business goals. Establish monitoring frameworks to detect performance issues and data drift, and lead incident response for AI systems. Champion MLOps practices and collaborate across engineering, product, and compliance teams to ensure ethical, secure, and efficient AI deployments in production.

Mastercard Ashbourne, Derbyshire, United Kingdom

Lead Site Reliability Engineer (AI/ML)

Lead the end-to-end deployment and operationalization of AI/ML models, ensuring scalability, reliability, and alignment with business objectives. Establish monitoring frameworks, drive MLOps best practices, and lead incident response for AI systems. Collaborate across engineering, product, and compliance teams to ensure ethical, secure, and high-performing AI solutions in production.

Mastercard Celbridge, Kildare County, Ireland