Latest Neural Network Jobs

Senior Solutions Architect – Large Scale Neural Networks Inference

Lead technical strategy for AI inference deployments across EMEA, working closely with AI-native enterprises and frontier labs to optimize large-scale neural network inference on NVIDIA's platform. Architect high-performance inference pipelines using frameworks like TensorRT-LLM, vLLM, and SGLang, and translate real-world deployment challenges into product improvements. Focus on solving critical issues around latency, efficiency, memory utilization, and GPU cluster performance.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior Solutions Architect – Large Scale Neural Networks Inference

This role involves leading AI inference strategy for major EMEA clients, focusing on optimizing large-scale neural network deployments. You'll architect high-performance inference pipelines using NVIDIA's latest technologies, solve critical challenges in latency, efficiency, and scalability, and translate real-world deployment insights into product improvements. The position bridges technical leadership, customer engagement, and product development within NVIDIA's AI ecosystem.

NVIDIA PLN 292,500 – PLN 650,000 pa

Research Scientist (Applied LLMs), London

A Research Scientist will focus on applying Large Language Models to drug discovery challenges, developing novel ML techniques and models that integrate with biological and chemical data. The role involves close collaboration with interdisciplinary teams of scientists and engineers to advance AI-driven drug design. Work includes model development, experimentation, and scaling frameworks for predictive applications in a fast-paced research environment.

Isomorphic Labs 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

W

Technical Lead Manager, Synthetic Data

Lead a team developing synthetic data systems using generative world models to accelerate autonomous driving research. Focus on scaling high-fidelity simulation for training AI models, integrating synthetic data into production pipelines, and solving challenges like rig and pose transfer. Work at the intersection of ML engineering, 3D geometry, and large-scale inference to enable training for vehicles and geographies with limited real-world data.

Wayve London, United Kingdom

Applied Scientist - All Levels

Conduct foundational research to develop AI-driven physical simulation models for engineering and manufacturing applications. Translate complex physics and engineering problems into mathematical formulations, build and iterate machine learning models—particularly in neural operators, geometric deep learning, or generative modeling—and collaborate closely with engineers and customers to deliver real-world impact across advanced industries.

PhysicsX United Kingdom

Hybrid Permanent

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

Product Engineer (Senior Forward Deployed)

This role involves embedding directly with retail, brand, and agency partners to identify real customer problems and rapidly build production-ready software using real data and workflows. You'll develop core platform components such as APIs, microservices, and data pipelines across hybrid environments, ensuring end-to-end ownership from deployment to monitoring. The position emphasizes fast prototyping, field-driven product iteration, and translating real-world insights into scalable product solutions using AI-assisted tooling and cloud technologies.

dunnhumby London, United Kingdom

Strategic Solutions Architect (Principal)

Design and govern the end-to-end technical architecture for dunnhumby’s cross-retailer commerce media platform, DNA, integrating data, identity, and advertising systems across retailers, publishers, and Kevel. Lead solutioning for partner onboarding, define scalable integration patterns, and bridge product and engineering with commercial stakeholders. Focus on clean rooms, privacy-preserving data collaboration, and real-world delivery of customer-facing technical designs.

dunnhumby London, United Kingdom

Hybrid Permanent

Staff Research Engineer - Multimodal Generative Modelling

This role involves developing advanced multimodal generative models that enable natural, real-time conversational interactions by integrating text, voice, and video. The engineer will lead research and implementation of low-latency, emotionally expressive AI systems, working across pretraining, post-training, and production deployment. Key focus areas include neural codecs, diffusion models, and streaming architectures to enhance realism and interactivity in Synthesia's AI video platform.

Synthesia London, United Kingdom

Remote Permanent

W

Machine Learning Engineer (Synthetic Data)

Build and scale next-generation world model architectures to generate high-fidelity synthetic data for autonomous driving systems. Bridge ML research and engineering by optimizing generative models, ensuring training-grade video output, and integrating synthetic data into real-world training pipelines. Work across GPU-scale infrastructure, 3D geometry, and multi-sensor simulation to accelerate development across new vehicle platforms and safety-critical scenarios.

Wayve London, United Kingdom

Machine Learning Engineer

Design and deploy automated machine learning pipelines for insurance risk modelling and pricing, using MLOps practices and cloud platforms. Focus on tuning, deploying, and maintaining high-performance models in production with test-driven development and SOLID principles. Mentor junior engineers and collaborate with data science and underwriting teams.

Vermelo RPO M43Aq, United Kingdom

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

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