Latest Deep Learning Jobs

Spotlight

Senior AI Engineer

This role involves leading a two-year R&D project to develop emotionally responsive virtual humans for soft-skills training. Responsibilities include setting technical direction, building AI systems that perceive and respond naturally, and collaborating across multiple disciplines to turn research into a reliable product.

Bodyswaps London, United Kingdom

Hybrid Permanent

Spotlight

Solution Architect (Power Platform)

The role involves shaping the adoption of automation, low-code development, and AI across the university by establishing and leading a Power Platform capability. The Solution Architect will define technical standards, guide solution design across applications, data, and integration, and support a community of citizen developers. They will collaborate with stakeholders and enterprise architecture to deliver secure, scalable, and sustainable digital solutions using Microsoft Power Platform technologies.

Loughborough University Loughborough, Leicestershire, United Kingdom £47,389 – £56,535 pa

Hybrid Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, specifically within NVIDIA's Cosmos World Foundation Models. The engineer will profile and analyze workloads to eliminate bottlenecks, working at the intersection of deep learning and systems optimization. Collaboration with research scientists, software engineers, and hardware experts is central to advancing production-grade physical AI systems for applications like autonomous vehicles and robotics.

NVIDIA United Kingdom PLN 221,250 – PLN 507,000 pa

Hybrid Permanent

Senior Deep Learning Engineer

This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, particularly within NVIDIA's Cosmos World Foundation Models. The engineer will work at the intersection of deep learning and systems optimization, profiling and accelerating workloads across diverse GPU architectures. Collaboration with research scientists, software engineers, and hardware teams is central to bringing generative AI models into production for applications in autonomous vehicles, robotics, and video analytics.

NVIDIA PLN 221,250 – PLN 507,000 pa

Hybrid Permanent

Computational Biologist - Metabolic Modelling & Deep Learning KTP Associate

Hours of work: Full-timeTenure: Fixed term for 2 yearsThe University of Liverpool and Syngenta Limited have established a Knowledge Transfer Partnership (KTP) to recruit a specialized Computational Biologist to join Syngenta’s global R&D hub in Jealott’s Hill. This project aims...

University of Liverpool Liverpool, Northern England, L3 4DZ, United Kingdom £45 – £48 pa

Contract

Lead Data Scientist (Model Developer) / Deep Learning Practitioner

Lead the development and deployment of deep learning models to enhance credit underwriting, using advanced neural networks on structured and unstructured data. Translate research prototypes into production systems while mentoring junior data scientists and collaborating with stakeholders across the business.

Capital One Boultham, Lincolnshire, LN6 7TG, United Kingdom

Hybrid Permanent

Lead Data Scientist (Model Developer) / Deep Learning Practitioner

This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The team focuses on using sophisticated neural networks and large datasets to generate high-impact customer insights.

Capital One Mansfield, Nottinghamshire, United Kingdom

Hybrid Permanent

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 North Tyneside, NE29 8EP, United Kingdom 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 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

Machine Learning Fellow - Human Frontier Collective (UK)

This role involves collaborating on high-impact machine learning projects, evaluating and optimizing PyTorch models, and contributing to AI research publications. Fellows work remotely on flexible schedules, engaging with cutting-edge generative AI systems and interdisciplinary experts. The position emphasizes research, model interpretation, and advancing responsible, human-centered AI through technical evaluation and publication.

Scale AI United Kingdom

Remote Contract Flexible

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

Research Scientist (Machine Learning), London

A Research Scientist in machine learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing architectures, training models, and applying ML to complex biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.

Isomorphic Labs London, United Kingdom

Hybrid Permanent

Research Scientist (Machine Learning), Lausanne

A Research Scientist in machine learning will develop novel AI models and algorithms to accelerate drug discovery, working in interdisciplinary teams to solve complex problems in computational biology and chemistry. The role involves designing deep learning architectures, training and scaling models, and translating research into practical applications. Collaboration with scientists across disciplines is central to advancing Isomorphic Labs’ mission of solving disease through AI.

Isomorphic Labs United Kingdom

Hybrid Permanent

Member of Technical Staff

This role involves developing and prototyping generative machine learning models for protein design, with a strong focus on real-world biological applications. You'll work closely with biologists and engineers to build scalable data pipelines, optimize model performance, and iterate based on wet lab feedback. The position emphasizes research excellence, production-grade code, and rapid experimentation in a cross-disciplinary environment.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Applied Scientist, Alexa International Tech

As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.

Amazon London, United Kingdom

On-site Permanent