Latest Deep Learning Jobs

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

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

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

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa

Hybrid Permanent Clearance Required

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

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

Research Scientist in Machine Learning for Wearables

Develop and apply deep learning models to analyse multimodal wearable data—including physiological signals and voice biomarkers—to identify patterns linked to maternal and partner health during pregnancy. Work within the EMBRACE research programme to enable early detection of health risks and support personalised interventions. Contribute to academic publications, conference travel, and collaborative research in a precision health context.

King's College London London, United Kingdom £45 – £52 pa

Contract

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 Scientist

Develop novel machine learning methods for molecular and protein discovery, bridging cutting-edge AI research with practical engineering implementation. Work on geometric deep learning, graph neural networks, and diffusion models applied to biological systems. Collaborate closely with engineers to translate research into tools that accelerate scientific discovery in a well-funded life science technology environment.

Platform Recruitment London, United Kingdom £85,000 – £100,000 pa

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

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

Senior Machine Learning Engineer, AI Performance

This role involves taking machine learning models from training to production deployment, focusing on optimising model performance under strict runtime constraints such as latency, memory, and power. The engineer will apply techniques like quantisation and distillation, work closely with performance and inference teams, and ensure models meet on-vehicle deployment requirements. The position emphasizes hands-on iteration in PyTorch and cross-functional collaboration in a high-ownership environment.

Wayve London, 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