Latest machine learning Edinburgh Jobs

Spotlight

Senior AI Engineer

The role involves developing emotionally responsive virtual humans using AI to enhance soft-skills training. You'll work across the full AI stack—integrating large language models with speech and vision systems—to create realistic, interactive simulations. The position emphasizes research-to-product development, rigorous evaluation, and cross-disciplinary collaboration in a socially impactful startup environment.

Bodyswaps London, United Kingdom

Hybrid Permanent

Spotlight

Data Engineer - Level 5 Coach - Fully Remote

This role involves coaching and mentoring working professionals through a Level 5 Data Engineering apprenticeship programme, helping them develop technical and professional skills in data engineering. You'll deliver 1:1 coaching, lead workshops, and guide learners in building secure, scalable data solutions using modern cloud platforms and tools. The position blends deep technical expertise with teaching and mentorship, focused on real-world application and ethical data practices.

Corndel London, United Kingdom

Remote Permanent

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

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

This role involves designing, developing, and evaluating machine learning models and advanced 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 supporting the integration of ML solutions into global product development. The position emphasizes innovation, technical documentation, and continuous improvement in methodologies and infrastructure.

SRG Eh24Qz, Alba / Scotland, EH2 4QZ, United Kingdom £35,000 – £42,000 pa

Hybrid

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

Director in Applied AI (TMT)

Leads the development and execution of AI strategies for Telecoms, Media, and Technology clients, focusing on scalable, secure, and responsible AI solutions. Oversees high-impact programmes from origination to delivery, advising C-suite stakeholders and shaping AI-driven business transformation across complex enterprise environments.

Deloitte Aberdeen, Alba / Scotland, United Kingdom

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 Software Engineer, Research

Develop and optimize machine learning models for high-fidelity, multi-physics simulation in engineering and scientific domains. Translate research prototypes into scalable, production-grade systems using distributed training and cloud infrastructure. Work across the full ML lifecycle, from foundational model design to deployment, while mentoring team members and collaborating with research scientists on real-world industrial applications.

PhysicsX London, United Kingdom

On-site Permanent

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 Integration Engineer

This role involves integrating and optimizing machine learning models into Darktrace’s cybersecurity platform, focusing on improving runtime, scalability, and effectiveness against unknown threats. You'll work closely with machine learning specialists and security researchers to prototype and deploy innovative AI solutions. The position emphasizes production-quality Python development, model acceleration, and performance optimization across diverse technology stacks.

Darktrace Cambridge, CB2 3BJ, United Kingdom

Hybrid Permanent

Machine Learning Researcher

This role involves developing machine learning algorithms for radio frequency (RF) signal detection and exploitation in electronic warfare contexts, with a focus on real-world defence applications. The researcher will design novel AI-driven solutions for congested electromagnetic environments, publish high-quality research, and contribute to national security through proof-of-concept development. Work is conducted in a hybrid setting with minimal office attendance, supported by a strong professional development framework.

ECM Selection United Kingdom £50,000 – £58,000 pa

Hybrid Contract Clearance Required

Machine Learning Engineer, ADAS

Train and improve computer vision and 3D perception models for ADAS systems, working across the full ML lifecycle from data to deployment. Build scalable data pipelines, including auto-labelling and 3D reconstruction, to enhance model performance. Focus on real-world impact with a balance of online (in-car) and offline (data generation) work in a fast-paced, product-driven environment.

Wayve London, United Kingdom

Hybrid 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 Researcher

Conducts machine learning research to advance Darktrace's AI-driven cybersecurity platform, prototyping new models and integrating them into production systems. Works across research, engineering, and security teams to solve novel problems using language models, neural networks, and statistical methods. Focuses on developing optimised, deployable ML solutions for diverse environments including edge devices.

Darktrace Cambridge, CB2 3BJ, United Kingdom

Machine learning Engineer

This role involves building and deploying production-grade machine learning systems for diverse clients, translating research into real-world applications. You'll work across the full ML lifecycle, design scalable software architectures, and collaborate with cross-functional teams to deliver impactful AI solutions. The position emphasizes technical leadership, cloud infrastructure, and best practices in ML deployment.

Faculty London, United Kingdom

Hybrid Permanent