Latest High Performance Computing Jobs

Spotlight

ML Runtime Engineer

Design and develop high-performance ML runtime systems for AI accelerators, integrating with open-source frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to optimize inference performance. Build low-level runtime components in Rust and contribute to the full stack of ML inference infrastructure.

Fractile London, United Kingdom

Hybrid Permanent

Senior HPC Performance Engineer

Conduct performance analysis and optimization of GPU communication libraries on large multi-GPU and multi-node HPC clusters. Work across the full hardware-software stack to benchmark, triage, and improve performance for deep learning and HPC applications. Develop tools to analyze performance data and collaborate with distributed teams to shape future library roadmaps.

NVIDIA PLN 221,250 – PLN 507,000 pa

Remote Permanent

Senior HPC Performance Engineer

Analyze HPC applications across heterogeneous systems to identify performance bottlenecks and optimization opportunities, supporting compiler and application engineering teams. Work with large-scale distributed applications using CPUs, GPUs, and many-core processors, focusing on parallel architectures and performance tuning. Provide technical guidance to accelerate scientific workloads in domains like climatology and fluid dynamics.

NVIDIA

Remote Permanent

Software Engineer, Model Deployment- ChatGPT Engineering

Design and operate software managing large-scale GPU clusters for ChatGPT inference, building automation and observability systems to improve fleet efficiency, reliability, and developer productivity. Work across infrastructure, research, and product teams to optimize compute utilization and build AI-powered operational tooling.

OpenAI London, United Kingdom

Hybrid Permanent

Quantum Computational Science Specialist..

Lead the development of quantum computational science methods for future multi-physics simulation capabilities, focusing on error-corrected algorithms and hybrid quantum-classical workflows. Develop and implement quantum algorithms using high-performance computing for emulation, with applications in linear solvers, state reconstruction, and tensor networks. Collaborate with academic, industrial, and government partners to shape Rolls-Royce's quantum computing strategy and influence internal adoption of new methods.

Rolls Royce Derby, Derbyshire, DE1 3AE, United Kingdom

Hybrid Permanent

Machine Learning Software Engineer, Research

Develop and scale machine learning models for AI-driven physics and engineering simulations, translating research prototypes into robust, production-grade systems. Work across distributed training, cloud infrastructure, and high-performance computing to deliver foundational models used in aerospace, energy, and advanced manufacturing. Collaborate closely with research scientists and engineers to optimize performance and enable real-world impact.

PhysicsX London, United Kingdom

On-site Permanent

Staff Machine Learning Software Engineer, Research

This role involves leading machine learning research initiatives in a high-performance computing environment, focusing on scalable AI models for multi-physics simulation in engineering and science. The engineer will bridge research and production by transforming prototypes into robust, distributed systems, mentoring junior staff, and shaping technical strategy. Work spans cloud and on-premise infrastructure with a strong emphasis on MLOps, software engineering best practices, and real-world deployment across advanced industries.

PhysicsX London, United Kingdom

On-site Permanent

Software Engineer, Platform Systems

Design and build distributed failure detection, tracing, and observability systems to ensure reliable, efficient training of large-scale AI models. Work closely with research and infrastructure teams to debug and optimize performance across custom supercomputing environments. Focus on low-level systems, hardware awareness, and real-time insights into complex distributed workloads.

OpenAI London, United Kingdom

Permanent

Senior MLOps Engineer

Develop and maintain MLOps infrastructure to productionise advanced AI and computer vision models, from distributed training to deployment on cloud and GPU-accelerated edge devices. Work closely with research and engineering teams to build scalable CI/CD pipelines, model registries, and monitoring systems. Operate in high-assurance environments with exposure to defence and security applications.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Hybrid Permanent Clearance Required

Senior/Principal Machine Learning Scientist (Generative Modelling)

This role involves developing generative and predictive models of cellular behaviour using single-cell multi-omics and perturbation data, with a focus on causal inference, counterfactual prediction, and guiding experimental design. The scientist will work iteratively with wet-lab teams to validate hypotheses and refine models, operating at the intersection of machine learning and experimental biology. The position emphasizes mechanistic fidelity, real-world utility, and interdisciplinary collaboration in a high-impact drug discovery environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Senior Data Scientist (Single Cell)

Develops generative and predictive models of cellular behaviour using single-cell multi-omics data, including scRNA-seq and scATAC-seq. Builds scalable Nextflow pipelines and integrates multimodal datasets with proteomics and imaging. Works closely with wet lab and ML teams to design experiments and validate biological relevance of models.

Relation Therapeutics London, United Kingdom

Permanent

Research Engineer, Machine Learning (Reinforcement Learning)

This role involves collaborating with researchers and engineers to advance the capabilities and safety of large language models through reinforcement learning. Responsibilities include developing core RL infrastructure, designing novel training environments, and optimizing performance across the stack.

Anthropic London, United Kingdom £260,000 – £630,000 pa

On-site Permanent

Anthropic Fellows Program, ML Systems & Reinforcement Learning

Engage in a 4-month full-time empirical research project on ML systems and performance, mentored by Anthropic researchers. Work includes building CPU simulators, accelerator backends, or synthetic data pipelines using open-source tools and large-scale systems. Projects aim for public outputs such as papers, with access to significant compute resources and a collaborative AI safety research environment.

Anthropic United Kingdom

Hybrid Internship

ML Runtime Engineer

Design and develop high-performance runtime systems for AI accelerators, integrating with open-source ML frameworks like PyTorch and vLLM. Work closely with hardware and software teams in a co-design environment to optimise inference performance. Build core infrastructure in Rust and contribute to the full stack of ML runtime technologies.

Fractile Bristol, United Kingdom

Hybrid Permanent

Software Engineer (AWS, Python, C#/C++, CFD/FEA)

Develop core engineering simulation software modules and integrate them into cloud-based automated workflows using AWS, Python, and C#/C++. Work within an Agile team to wrap commercial tools, streamline complex engineering processes, and solve novel technical challenges in a high-performance computing environment. The role emphasizes distributed computing, physical modelling, and collaboration with experts in mechanical engineering and scientific computing.

HAYS Specialist Recruitment Oxfordshire, United Kingdom £45,000 – £75,000 pa