Discover ML job opportunities in Edinburgh

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

Data Science / ML Engineer

This role involves developing and deploying machine learning models to enhance transaction monitoring systems for business banking, focusing on detecting financial crime. The engineer will work with large-scale datasets using PySpark and Python, build tree-based models like XGBoost, and translate complex data insights into actionable outputs. Collaboration with analytics teams and regular onsite presence in Glasgow or Edinburgh is required.

TXP Glasgow, City Of Glasgow, G2 1AL, United Kingdom £560 – £565 pd

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

Associate Director - Google Cloud Architect, Technology & Transformation

Lead the design and implementation of scalable, secure Google Cloud solutions for enterprise clients undergoing digital transformation. Translate business needs into technical blueprints using GCP services including Gemini Enterprise, BigQuery, and GKE, while mentoring teams and advising stakeholders. Work across industries to drive cloud adoption, innovation, and optimisation from strategy through delivery.

Deloitte Belfast, United Kingdom

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

Senior Member of Technical Staff, Safety and Security 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.