Latest Hardware Acceleration Jobs

Spotlight

Data Engineer - Level 5 Coach - Fully Remote

This role involves coaching and mentoring working professionals through a Level 5 Data Engineering apprenticeship programme, helping them develop technical and professional skills in data engineering. You'll deliver 1:1 coaching, lead workshops, and guide learners in building secure, scalable data solutions using modern cloud platforms and tools. The position blends deep technical expertise with teaching and mentorship, focused on real-world application and ethical data practices.

Corndel London, United Kingdom

Remote Permanent

Machine Learning Engineer

Design and optimize machine learning models for hardware acceleration on platforms such as GPUs and QPUs, focusing on low-latency distributed systems and simulation. Work independently within an established team to support international clients using cutting-edge technologies. The role involves algorithm development in C++, Python, or Rust, with a strong emphasis on performance and hardware integration.

Hexwired Recruitment Limited London, United Kingdom £80,000 – £120,000 pa

Staff Robotics Engineer

Develop and optimise robust, production-grade online calibration and state estimation software for autonomous vehicles, integrating advanced filtering and optimisation algorithms into resource-constrained, hardware-accelerated platforms. Work across the full software lifecycle, from algorithm adaptation and simulation testing to on-vehicle deployment and fleet-wide observability, collaborating with cross-functional teams to ensure reliability, performance, and safety.

Wayve United Kingdom

ML Runtime Engineer

Develop and optimize the ML runtime stack for AI accelerators, integrating with open-source frameworks like PyTorch, vLLM, and SGLang. Work closely with hardware and ML teams in a co-design environment to deliver high-performance inference solutions. Build low-level systems in Rust while contributing to the full software stack for next-generation AI hardware.

Fractile London, United Kingdom

Hybrid Permanent

ML Runtime Engineer

Develop and optimize the ML runtime stack 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 enable high-performance inference. Build low-level systems in Rust and contribute to cutting-edge AI infrastructure.

Fractile Bristol, United Kingdom

Hybrid Permanent

CFD Multiphase & DEM Engineer

This role involves developing high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating them with AI-driven simulation workflows. The engineer will work end-to-end on multi-physics simulations, from geometry and meshing to solver development and validation against experimental data. A key focus is automating and scaling CFD workflows to enable design optimisation and support machine learning pipelines in collaboration with clients across advanced industries.

PhysicsX United Kingdom

Hybrid 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

Senior Staff Software Engineer - Unity Catalog Runtime Enforcement

The role involves leading the development and hardening of the runtime enforcement layer for Unity Catalog, ensuring secure and consistent data access across Databricks' compute engines and clouds. The engineer will drive cross-organizational initiatives, establish operational models, and build automation tools to improve system reliability and security at scale. This position plays a key technical leadership role in shaping how data governance is enforced across a large-scale distributed platform.

Databricks London, United Kingdom

Tech Lead Assist - Robotaxi

This role involves designing and leading the technical architecture for a safety-critical Remote Assistance system that connects autonomous vehicles with human operators in real time. The focus is on low-latency data streaming, fallback mechanisms, and system reliability to support Wayve’s Robotaxi launch. The position requires deep expertise in real-time systems, cross-team leadership, and translating technical decisions into operational safety and product outcomes.

Wayve London, United Kingdom

Remote Permanent

Training, Process Management Engineer

This role involves building and maintaining the distributed operating system that orchestrates and monitors large-scale machine learning workloads across OpenAI’s supercomputers. You'll work primarily in Rust to develop high-performance, asynchronous systems that ensure reliable, observable, and scalable training runs—from small experiments to massive distributed jobs. The position focuses on solving novel challenges in system reliability, performance optimization, and rapid debugging at an unprecedented scale.

OpenAI London, United Kingdom

Hybrid Permanent

Staff Software Engineer, AI Reliability Engineering

This role focuses on ensuring the reliability and resilience of large language model serving systems at scale. You'll design service level objectives, build observability tooling, lead incident response, and collaborate across teams to strengthen critical infrastructure paths—from API layers to accelerators. The position demands a systems-thinking engineer passionate about robustness, safety, and cross-team partnership in high-stakes AI environments.

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

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

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

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 on future spatial processors. Collaborate with hardware teams to co-design features and implement end-to-end optimizations across compiler, runtime, and deployment layers. Focus on graph transformations, scheduling, and memory layout for domain-specific AI hardware.

NVIDIA

Hybrid Permanent

Senior 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