Latest Neural Network Jobs

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 impactful projects. The position requires strong experience in deep learning, model development, and working with large datasets.

Capital One Spondon, Derbyshire, 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 modern ML frameworks to extract actionable insights and drive sustainable growth.

Capital One Leicester, Leicestershire, United Kingdom

Hybrid Permanent

Research Scientist (Machine Learning), Lausanne

A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to advance drug discovery at digital speed. Working in an interdisciplinary team, they will apply cutting-edge AI techniques to complex biological and chemical problems, iterating on model design, training, and inference to unlock new scientific insights. The role emphasizes innovation, collaboration, and technical leadership in a high-impact research environment.

Isomorphic Labs United Kingdom

Hybrid Permanent

Research Scientist

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....

PhysicsX London, United Kingdom

Applied Scientist - All Levels

This role involves developing AI-driven physical foundation models to solve complex engineering challenges in domains like aerospace, energy, and semiconductors. You'll translate physics-based problems into mathematical formulations and build scalable machine learning models—particularly using deep learning and probabilistic methods—for high-fidelity simulation. The position emphasizes research ownership, collaboration with engineers and customers, and publishing impactful work.

PhysicsX United Kingdom

Hybrid Permanent

Principal Developer Technology Engineer

This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies, with a focus on path tracing and neural graphics. The engineer will develop and optimize AI models and rendering algorithms, contribute to next-gen GPU architecture planning, and create technical demonstrations. Work includes publishing research and presenting at conferences to drive adoption of AI in gaming.

NVIDIA PLN 483,750 – PLN 838,500 pa

Hybrid Permanent

Principal Developer Technology Engineer

This role involves collaborating with top game developers to optimize GPU performance and advance rendering technologies such as path tracing and neural graphics. The engineer will develop and tune AI models, work closely with NVIDIA's architecture and driver teams, and create technical demonstrations using cutting-edge GPU technology. Responsibilities also include profiling algorithms, presenting research at conferences, and influencing future GPU design through real-world insights.

NVIDIA PLN 483,750 – PLN 838,500 pa

Hybrid Permanent

Technical Program Manager, Data Operations

This role involves managing end-to-end data and annotation operations for Wayve’s Embodied AI platform, ensuring reliable delivery of high-quality data across internal teams and external suppliers. The Technical Program Manager will coordinate complex workflows, drive stakeholder alignment, and improve systems for scalability and efficiency in a fast-paced AI environment.

Wayve London, United Kingdom

Hybrid Permanent

Machine Learning Scientist

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 translate model outputs into wet lab testing campaigns. The position emphasizes scientific rigor, production-grade code, and rapid iteration based on experimental feedback.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

Member of Technical Staff

Develop and optimize generative machine learning models for protein design, working closely with biologists and engineers to translate model outputs into real-world wet lab experiments. The role emphasizes robust ML development, data pipeline construction, and rapid iteration based on experimental feedback, within an interdisciplinary research environment focused on advancing synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent