Discover ML job opportunities in Edinburgh

Spotlight

ML Runtime Engineer

Design and develop high-performance ML runtime systems 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 optimize inference performance. Build low-level runtime components in Rust and contribute to the full stack of ML inference infrastructure.

Fractile London, United Kingdom

Hybrid Permanent

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

Design and implement machine learning models within an R&D-driven environment, translating technical outcomes into actionable insights for stakeholders. Collaborate with product teams and external partners to integrate AI solutions into globally used products. Focus on innovation, experimentation, and continuous improvement in a hybrid work setting.

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

Hybrid

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

Embedded Machine Learning Engineer

Design and deploy machine learning models that run on resource-constrained embedded devices processing real-time sensor data. Work across the full lifecycle from raw sensor input to field deployment, optimising for memory, latency, and power. Collaborate with firmware and hardware teams to ensure reliability in uncontrolled environments and contribute to cross-domain model transfer.

KO2 Embedded Recruitment Solutions Edinburgh, United Kingdom £60,000 – £70,000 pa

Associate Director - Lead AI Architect

Lead the design and delivery of production-grade AI and Generative AI systems for high-impact public sector and security programmes. This hands-on technical leadership role involves architecting scalable, secure solutions, building MLOps/LLMOps practices, and mentoring engineering teams. Focus on translating complex challenges into practical, responsible AI systems using cloud platforms and modern tooling.

eFinancialCareers London, United Kingdom £90,000 – £120,000 pa

Expression of Interest: Next-generation Agentic Controls and Forensics (Technical Roles)

This role involves pioneering research into agentic controls and forensics for future AI systems, focusing on scalable technical methods to detect and understand AI misbehaviour. You'll work with pre-release frontier models and have access to significant computational resources, operating at the intersection of AI safety, security, and policy. The position offers high autonomy to explore novel research directions with real-world impact on global AI governance.

AI Security Institute London, United Kingdom £65,000 – £145,000 pa

Member of Technical Staff, Safety for Agents

This role focuses on improving the safety, fairness, and trustworthiness of next-generation large language models that interact with external resources and take autonomous actions. You'll design and implement data generation strategies, post-training algorithms, and evaluation methods, working closely with ML, policy, and product teams. The position emphasizes hands-on experimentation, statistical rigor, and responsible AI practices in a highly autonomous, research-driven environment.

Cohere London, United Kingdom

Hybrid Permanent

Senior Software Engineer, Chem-Bio

Design and build robust platform systems to support AI research on chemical and biological risks, translating complex research needs into scalable infrastructure. Develop evaluation frameworks, LLM-based agent systems, and shared tooling in Python, collaborating closely with interdisciplinary researchers. Drive engineering excellence through architecture, mentorship, and infrastructure improvements within a government-embedded technical team.

AI Security Institute London, United Kingdom

On-site Permanent Clearance Required

Expression of Interest- Red Team

This role involves conducting advanced research to identify and stress-test vulnerabilities in frontier AI systems, focusing on alignment, misuse, or control risks. The team works closely with leading AI companies, UK government officials, and allied governments to inform deployment decisions, policy, and safety practices. Work includes developing novel evaluation techniques, attack tooling, and control measures to mitigate high-stakes AI risks.