Latest machine learning Edinburgh Jobs

Spotlight

AI Compiler Engineer

Design and develop AI compiler infrastructure targeting specialised hardware platforms, working across compiler pipelines, optimisation passes, and performance-critical software components. Optimise ML workloads and computational graphs for efficient execution on next-generation AI and edge computing systems. Contribute to compiler technologies using LLVM/MLIR and closely integrated hardware-software stacks.

IC Resources Bristol, Eng, United Kingdom £80,000 pa

Hybrid Permanent

Spotlight

Programme Manager (Forward Deployed)

Act as a Programme Manager embedded within a client's technology programme, owning delivery while identifying inefficiencies that can be automated using AI. You'll run programme governance, manage risks and dependencies, and prototype AI workflows to solve real delivery bottlenecks. The role blends hands-on client delivery with innovation to scale solutions through the M-1 platform.

M-1 Intelligence London, United Kingdom £60,000 – £75,000 pa

Remote Permanent

Lecturer in Artificial Intelligence

The role involves conducting cutting-edge research in Artificial Intelligence, particularly in perception and action, and teaching undergraduate and master's level courses. The successful candidate will join a top-ranked institution with strong support for research and collaboration.

The University of Edinburgh Edinburgh, United Kingdom £50 – £61 pa

Permanent

Cyber Security Specialist

This role involves collaborating with teams to secure AI and Machine Learning solutions, conducting threat modelling, and ensuring compliance with security standards. The position offers exposure to cutting-edge AI technologies and a dynamic, collaborative environment.

Adecco Manchester, United Kingdom

Senior Software Engineer, Chem-Bio

Design and build core platform systems to support technical research on AI-related chemical and biological risks, translating ambiguous research needs into scalable, maintainable software solutions. Work within a multidisciplinary team to develop LLM-based agent systems, evaluation frameworks, and shared infrastructure while mentoring engineers and shaping technical direction. Operate in a high-impact environment with direct influence on AI policy and global governance.

AI Security Institute London, United Kingdom

On-site Permanent Clearance Required

Expression of Interest- Red Team

The Red Team at the AI Security Institute conducts cutting-edge research to identify and mitigate vulnerabilities in advanced AI systems. The team collaborates closely with leading AI companies, UK officials, and allied governments to inform deployment, research, and policy decisions, focusing on misalignment, misuse, and control of AI systems.

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

On-site Permanent Clearance Required

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Work across the full ML lifecycle, from scalable architecture design to operationalisation, using cloud platforms and containerisation tools. Collaborate with cross-functional teams to deliver ethical, reliable AI solutions in real-world environments.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers, data scientists, and customers to solve complex physics and engineering challenges using AI. The role involves building scalable, reliable ML data pipelines, working with 3D point-cloud and mesh data, and translating R&D into reusable tools and products. Frequent customer site visits across multiple continents are expected to support on-site solution development and deployment.

PhysicsX England US$150,000 – US$190,000 pa

On-site Permanent Clearance Required

Machine Learning Engineer

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

ECM Selection Cambridge, Cambridgeshire, United Kingdom £40,000 – £70,000 pa

On-site Permanent Clearance Required

Machine Learning Engineer / ML Engineer - Roleplay Sessions

Build and improve the AI engine powering interactive roleplay training with AI avatars, focusing on real-time performance scoring, feedback generation, and dynamic response logic. Work on applied machine learning models integrated into a product-driven environment, collaborating closely with engineering and product teams to enhance learning-by-doing experiences. The role emphasizes fast iteration and delivering tangible impact through scalable AI systems.

Synthesia London, Europe, United Kingdom

Permanent

Machine Learning Research Engineer

This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal...

Luminance Cambridge, United Kingdom

Hybrid Permanent

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote Permanent

Machine Learning Engineer Modelling

Develop advanced mathematical and machine learning models for complex industrial and scientific systems by combining first-principles physics with AI techniques. Work across the full modelling lifecycle using large-scale sensor and operational data to build predictive digital representations of physical processes. Collaborate with a high-calibre team to improve model performance through experimental design and real-world validation.

Newton Colmore Guatemala

Hybrid

Machine Learning Engineer

This role involves designing, building, and deploying advanced machine learning models to solve complex operational challenges in real-world environments. You will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment.

Platform Recruitment London, United Kingdom £60,000 – £70,000 pa

On-site Permanent

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models, working across the full machine learning lifecycle. You will build production-ready systems, evaluate model performance, and contribute to technical decisions across various projects, collaborating closely with engineers, data scientists, and domain experts.

Platform Recruitment London, United Kingdom £80,000 – £160,000 pa

On-site Permanent

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Machine Learning Scientist

This role involves designing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. The scientist will build and evaluate models, collaborate across interdisciplinary teams, and iterate based on wet lab feedback. A significant emphasis is placed on high-performance code, scalable data pipelines, and staying current with advances in ML and synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent