Latest Hardware Acceleration Jobs

Senior ML Compiler Engineer

Design and develop a high-performance machine learning compiler stack for novel AI accelerator hardware. Work closely with hardware, runtime, and ML teams in a full-stack co-design environment to optimise execution of large language models. Define core compiler architecture including IR, optimisations, and lowering strategies from the ground up.

Fractile London, United Kingdom

Senior Libraries Engineer – AI and HPC

You will develop and optimize scalable library software for GPU and CPU accelerated data processing, focusing on performance tuning and benchmarking. You'll work closely with leadership and partners to enhance library features and performance, contributing to NVIDIA's cutting-edge AI and HPC projects.

NVIDIA

Machine Learning Engineer

Develop and deploy scalable machine learning systems integrated with high-fidelity physics simulations, working directly with customers and engineering teams to solve real-world industrial challenges. Focus on building reliable data pipelines, manipulating 3D point-cloud and mesh data, and translating research into production-grade tools. The role involves significant customer collaboration, on-site problem solving, and travel across multiple regions.

PhysicsX United Kingdom £150,000 – £190,000 pa

Remote 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

Model Release Engineer

A Model Release Engineer will design and build automated platforms to streamline the deployment of AI models across training, simulation, evaluation, and on-road testing. The role involves integrating systems across multiple teams, improving platform reliability and observability, and leveraging AI-assisted development to accelerate model release cycles. The position requires strong software engineering skills and experience with distributed systems and cloud infrastructure.

Wayve London, United Kingdom

Senior Software Engineer, Data

Design and build large-scale, distributed data transfer pipelines for petabyte-level sensor data from global partners, using Flyte, Kafka, and Azure. Develop reliable, observable systems with Terraform and Python, supporting Wayve's AI model training at scale through a hub-and-spoke data exchange architecture.

Wayve London, United Kingdom

PhD Studentship: Research Studentship in Control Engineering- Sustainable and Circular AI Systems

The role involves researching sustainable and circular AI systems, focusing on the environmental impacts of hardware and infrastructure. The student will develop models to connect AI performance with hardware requirements and explore circular economy strategies to reduce material dependencies.

University of Oxford Oxford, South East England, United Kingdom £21 pa

Contract

Performance Engineer (Junior) | AI Infrastructure | Cambridge |

This role involves working alongside senior engineers to build performance models and calculators for AI infrastructure, predicting the efficiency and cost-effectiveness of different setups. You'll have real ownership and support, working with real metrics from live training and inference jobs.

Pure Resourcing Solutions Cb238Sl, United Kingdom £55,000 – £70,000 pa

Hybrid

Staff Software Engineer, Node Infra

This role focuses on designing and operating large-scale AI infrastructure, specifically managing the lifecycle of compute nodes across cloud and on-prem environments. The engineer will lead technical strategy for node provisioning, health monitoring, and automated repair systems, ensuring high reliability and efficiency across Anthropic's GPU, TPU, and Trainium fleets. Collaboration with research, inference, and cloud provider teams is central to shaping long-term infrastructure and compute strategy.

Anthropic London, United Kingdom £325,000 – £485,000 pa

Staff Software Engineer, Inference

This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.

Anthropic London, United Kingdom £325,000 – £390,000 pa

Software Engineer, Compute Infrastructure

This role involves building and optimizing the compute platform that powers OpenAI's AI research and products. Responsibilities include designing and operating infrastructure for large-scale compute systems, profiling and optimizing training workloads, and creating tools that improve the developer experience and system reliability.

OpenAI London, United Kingdom

Hybrid Permanent

Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, optimizing neural network workloads for future hardware. Collaborate with hardware teams to co-design features and prototype novel compilation techniques. Focus on end-to-end inference optimization using LLVM/MLIR, deep learning frameworks, and performance analysis tools.

NVIDIA Cambridge, United Kingdom

Hybrid Permanent

Staff Software Engineer (Inference Platform), London

Design and optimize large-scale AI/ML infrastructure for biotech research, focusing on GPU/TPU systems, Kubernetes orchestration, and inference platform reliability. Build robust monitoring, CI/CD, and job scheduling systems to support high-throughput model serving and digital biology breakthroughs.

Isomorphic Labs London, United Kingdom

On-site Permanent

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