Latest High Performance Computing Jobs

Senior CPU Performance Developer Technology Engineer

This role involves deep performance analysis and optimization of cloud and HPC workloads on NVIDIA's CPU architecture. You'll collaborate with developers, contribute to software stacks and libraries, and influence future CPU and software design. The position requires strong expertise in low-level programming and performance tuning, working across architecture, research, and product teams.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for a large-scale distributed system used across NVIDIA teams. You'll create test plans, automate validation for UIs, APIs, and performance, and integrate testing into CI/CD pipelines. A key focus is leveraging AI and LLMs to enhance test automation, including prompt engineering, fine-tuning models, and building AI-powered test generation tools, with strong collaboration across engineering groups to improve QA efficiency and product quality.

NVIDIA Reading, United Kingdom

Hybrid Permanent

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Full Stack Software Engineer

Design and build full-stack AI-powered applications, translating machine learning outputs into production-ready systems. Collaborate with data scientists and product managers to deliver scalable, user-centric solutions for global clients in regulated industries. Focus on robust architecture, cloud deployment, and client-facing technical leadership.

Faculty AI London, United Kingdom

Hybrid Permanent

Principal Designer

Lead and shape product and service design within a human-centric AI consultancy, driving both high-impact client projects and the strategic development of design capabilities. Bridge technical AI outputs with real-world user needs through human-centred design, while building frameworks, mentoring teams, and advising executive clients. Work across multidisciplinary teams to deliver durable AI-powered software solutions in sectors like government, finance, and life sciences.

Faculty London, United Kingdom

Hybrid Permanent

Principal Product Manager

Lead the development of AI-powered products by shaping product management standards and delivering high-impact client solutions. Work across multidisciplinary teams to translate advanced AI models into durable, user-centric software, while building organisational capability in product practice. Advise executives on technology adoption and drive commercial outcomes through strategic product leadership.

Faculty London, United Kingdom

Hybrid Permanent

Quantitative Researcher - Systematic Equities

Develop and test alpha-generating strategies for systematic equity portfolios using statistical techniques, machine learning, and large-scale data analysis. Work closely with portfolio managers to transition research into live trading, building predictive models and robust research infrastructure in Python. Focus on rigorous backtesting, signal validation, and collaborative research in a high-impact environment.

eFinancialCareers London, United Kingdom

Senior Quantitative Researcher - Systematic Macro Strategies

The role involves designing and managing data-driven trading models for global macroeconomic assets, primarily using futures and foreign exchange. Responsibilities include developing systematic trading strategies, applying advanced quantitative methods, and collaborating in a research-driven environment to enhance alpha models and portfolio construction techniques.

eFinancialCareers London, United Kingdom

On-site Permanent

Senior Software Engineer, Cloud, Simulation

This role involves developing and enhancing Wayve's simulation platform for autonomous driving systems, focusing on high-fidelity, scalable simulation using both classical techniques and machine learning. The engineer will lead technical direction in areas like robot emulation, visual fidelity, or scaling, integrating complex subsystems into production software. Collaboration with robotics, research, and data teams ensures simulations provide accurate, high-signal feedback for driving intelligence development.

Wayve London, United Kingdom

Hybrid Permanent

Staff ML Engineer, Gaia

Leads large-scale training and development of video foundation models for autonomous driving, focusing on improving Gaia’s world-model capabilities to generate synthetic driving scenarios. Works closely with research and engineering teams to advance model architecture and training strategies. Operates in a high-impact, fast-paced environment with technical leadership responsibilities.

Wayve London, United Kingdom

Hybrid Permanent

CFD Multiphase & DEM Engineer

This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications across aerospace, energy, and manufacturing. The engineer will work directly with customers to build automated, scalable simulation workflows integrated with AI-driven surrogate models, using tools like Star-CCM+, OpenFOAM, or Fluent alongside Python and parametric CAD. Emphasis is placed on smart sampling, model validation, and mentoring within a collaborative, high-performance engineering culture.

PhysicsX London, United Kingdom

Principal Machine Learning Infrastructure Engineer

This role focuses on designing and operating scalable machine learning infrastructure for training and serving large physics-based models. You'll work closely with research scientists and ML engineers to optimize distributed training pipelines, improve data I/O performance, and build reliable model serving systems. The position emphasizes systems-level problem-solving, infrastructure automation, and enabling fast, reproducible experimentation on high-performance GPU clusters.

PhysicsX London, United Kingdom

Deployment Strategist

Acts as a trusted advisor to C-suite stakeholders, leading end-to-end scoping and delivery of high-value AI solutions for strategic customers. Owns product definition, value quantification, and agile project execution from discovery to production launch. Bridges business and technical teams to deliver measurable outcomes using the Databricks platform.

Databricks London, United Kingdom

On-site Permanent

Senior Staff Software Engineer - Delta

This role involves designing and building high-performance backend systems for Databricks' workspace platform, focusing on scalability, reliability, and low-latency operations at massive scale. The engineer will lead technical projects, mentor junior staff, and contribute to core infrastructure innovations within the Delta DML team, which powers the write-path for Delta Lake. Work includes low-level systems debugging, performance optimization, and cross-team collaboration to solve large-scale data challenges.

Databricks London, United Kingdom

Machine Learning Scientist

This role involves designing and prototyping novel generative machine learning models for protein design, with close collaboration between computational and experimental teams. The scientist will build scalable data pipelines, optimize deep learning models for performance, and iteratively refine models based on wet lab feedback. A strong emphasis is placed on code quality, interdisciplinary collaboration, and translating model outputs into real-world biological functions.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent