Latest Product Manager Jobs

Platform Engineer

This role involves building and scaling the infrastructure that powers an AI-native platform for drug discovery. The engineer will manage Kubernetes clusters, cloud infrastructure, and ML pipelines, ensuring reliable and secure deployment of AI models in a production environment. Collaboration with ML, backend, and product teams is central to enabling scalable, in-silico biological experimentation.

Helical London, United Kingdom

Hybrid Permanent

Senior Machine Learning Engineer

Design and implement high-performance machine learning models using C++, CUDA, and PyTorch, with a focus on GPU acceleration and advanced AI applications. Work on cutting-edge research involving Transformers and computer vision to deliver real-world AI solutions. Collaborate within a skilled technical team on innovative projects in a hybrid London-based role.

Hexwired Recruitment Limited London, United Kingdom £60 – £80 ph

Hybrid Contract

AI / ML Engineer

Design and build production-ready AI solutions using the Microsoft AI ecosystem, focusing on Generative AI, Agentic AI, and machine learning. Develop intelligent automations, RAG systems, and multi-agent workflows while collaborating with engineers and stakeholders to drive AI adoption across the organisation. Work in a growing, dedicated AI team with influence over technical direction and architecture.

Searchability Cheshire, United Kingdom £55,000 – £60,000 pa

Applied AI Engineer

This role involves full-stack AI engineering, owning the entire lifecycle of AI systems from architecture and infrastructure to deployment. You'll identify AI opportunities across a portfolio of companies, build production-grade AI products, and work closely with C-level executives to drive technical strategy and value creation in a private equity-backed AI lab.

Harnham - Data and Analytics Recruitment Usa, United Kingdom US$250,000 – US$300,000 pa

AI Engineer

Design and develop enterprise-grade AI applications using .NET, Azure, and Microsoft AI technologies. Build agentic workflows, RAG solutions, and integrate AI capabilities into business systems. Work across the full software lifecycle with a focus on scalable, secure, and production-ready code.

Amtis Professional Ch14Ly, United Kingdom £50,000 – £60,000 pa

Hybrid Permanent

Software Applications Engineer

This role involves designing and implementing software solutions for underwater robotics, focusing on the next generation of underwater vehicles. Responsibilities include developing new software, supporting existing codebases, and working with a range of technologies including C++, control software, and web technologies.

Saab Fareham, United Kingdom

On-site Permanent Clearance Required

Senior Computer Vision Data Scientist

Develop and deploy computer vision models for predictive maintenance in industrial settings, combining inspection imagery with operational and physics-based data to forecast component lifespan. Focus on building interpretable, production-grade systems that integrate with enterprise environments and support engineering decision-making under real-world constraints like sparse or noisy data.

PhysicsX England £120,000 pa

On-site Permanent

Recruiter, AI/ML Research EMEA

This role involves strategic talent acquisition for OpenAI's AI/ML research teams across EMEA, focusing on identifying and engaging leading researchers and technical scientists. The recruiter will work closely with research staff to shape hiring strategies, anticipate talent needs, and guide decisions impacting frontier AI research. It emphasizes deep technical understanding, proactive talent cultivation, and advisory input into candidate evaluation and compensation in a fast-evolving domain.

OpenAI London, United Kingdom

Hybrid Permanent

Research Scientist (Biological Models), Chem-Bio

This role involves conducting empirical research into the capabilities of specialised biological AI models, particularly in protein design and genomics, to assess their potential for misuse. The researcher will design experiments to evaluate in-silico predictions against real-world biological outcomes, test the effectiveness of technical safeguards, and translate findings into actionable insights for government and policy stakeholders. Work spans machine learning, computational biology, and biosecurity, requiring close collaboration with wet-lab scientists, AI developers, and security experts.

AI Security Institute London, United Kingdom

Research Scientist (Virologist), Chem-Bio

This role involves designing and interpreting technical evaluations of AI systems with biological capabilities, focusing on virology and biosecurity risks. The Research Scientist will translate complex scientific questions into rigorous empirical assessments, evaluate model outputs for biological plausibility, and communicate findings to government decision-makers. The position sits at the intersection of AI safety, virology, and policy, requiring deep technical expertise and discretion in handling dual-use research.

AI Security Institute London, United Kingdom

Senior Deep Learning Software Engineer, Inference

Design and optimize GPU-accelerated deep learning inference software for large-scale language and generative AI models. Contribute to open-source frameworks like vLLM and SGLang, and implement performance improvements across NVIDIA's full range of accelerators from datacenter to edge. Work closely with research and engineering teams to profile, tune, and deploy state-of-the-art model serving solutions using CUDA, Triton, and other low-level optimization tools.

NVIDIA Netherlands

Senior Performance Engineer

Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. Design performance studies, diagnose bottlenecks, and deliver optimization plans in collaboration with deep learning and platform teams. Use profiling and data analysis to drive improvements in scalable DGX Cloud systems.

NVIDIA United Kingdom

Senior Performance Engineer

Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks. Design and execute performance studies to establish baselines, diagnose regressions, and quantify bottlenecks. Define evaluation methodologies and success metrics for AI workloads, using profiling and data analysis to drive optimization. Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

NVIDIA

Senior Performance Engineer

This role involves analyzing end-to-end performance of large-scale AI workloads across compute, networking, storage, and software stacks. The engineer will design performance studies, diagnose bottlenecks, and develop optimization strategies for AI systems running on NVIDIA's DGX Cloud infrastructure. Work includes close collaboration with deep learning engineers, platform teams, and architects to deliver measurable performance improvements at scale.

NVIDIA

Senior Deep Learning Software Engineer, Inference

This role involves designing, optimizing, and maintaining high-performance deep learning inference software for large-scale language and generative AI models. The engineer will work on GPU-accelerated frameworks like vLLM, SGLang, and FlashInfer, implementing cutting-edge algorithms and performance improvements across NVIDIA's full range of accelerators. Collaboration with open-source communities and cross-team partners is central to advancing model serving efficiency and deployment at scale.

NVIDIA PLN 221,250 – PLN 507,000 pa