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 will collaborate with developers, researchers, and internal teams to enhance software stacks and influence next-generation design. The position emphasizes low-level code optimization, direct contributions to software frameworks, and performance benchmarking for enterprise-scale applications.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior CPU Performance Developer Technology Engineer

This role involves deep performance analysis and optimization of cloud and HPC workloads on NVIDIA's CPU architecture. The engineer will collaborate with developers, contribute to software stacks and libraries, and influence future CPU design through performance insights. Close collaboration with internal teams including architecture, research, and tools is central to the role.

NVIDIA £292,500 – £650,000 pa

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Lead Data Scientist

Lead a team of data scientists to design and deliver high-impact, production-grade AI solutions for clients in highly regulated sectors such as finance and professional services. Drive technical direction, lead complex project scoping, and act as a trusted advisor to clients while shaping best practices and mentoring junior staff. Work across the full project lifecycle from feasibility to deployment, balancing innovation, speed, and reliability in real-world applications of machine learning.

Faculty AI London, United Kingdom

Hybrid Permanent

Lead Machine Learning Engineer

Leads the technical direction of complex AI/ML projects, designing scalable production systems and guiding engineering teams in high-risk environments. Focuses on building robust ML infrastructure, CI/CD pipelines, and deploying AI platforms for government and public sector clients. Provides architectural leadership and mentors engineers while driving innovation in responsible AI.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Senior Data Scientist (Safety)

Lead high-impact AI safety projects by designing novel evaluation frameworks and robust software architectures for frontier AI labs. Mentor technical team members and ensure scientific rigour across the project lifecycle while contributing to thought leadership through research and open-source contributions. Work at the intersection of national security and cutting-edge AI development to advance responsible deployment.

Faculty London, United Kingdom

Hybrid Permanent

Research Engineer, Pretraining Scaling - London

This role involves owning critical parts of Anthropic's production pretraining pipeline for large language models, focusing on performance optimization, debugging across hardware and training dynamics, and ensuring reliable, scalable model training. The position requires deep technical expertise in distributed systems and ML frameworks, with hands-on responsibilities during high-pressure model launches and a strong emphasis on operational reliability and cross-team coordination.

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

On-site Permanent

Vice President, Data Science

Leads the design and implementation of high-rigor machine learning and analytical systems across a regulated financial services environment. Focuses on production-grade models for anomaly detection, forecasting, and behavioral signals, ensuring reliability, explainability, and regulatory compliance. Works closely with engineering and product teams to drive models from concept to operation and provides technical leadership in complex, data-intensive scenarios.

eFinancialCareers London, United Kingdom

Hybrid Permanent

Software Engineer - Morgan McKinley

Design, develop, and maintain scalable software solutions using Java and AWS within a cloud-first environment. Work on system-level challenges, third-party integrations, and the embedding of AI capabilities into platforms. Collaborate with architects and product teams to enhance performance, scalability, and reliability of distributed systems.

eFinancialCareers Manchester, United Kingdom £600 pd

Applied AI Engineer

Design and deploy AI systems for enterprise clients, translating business needs into technical architectures and production implementations. Work hands-on with code, evaluation frameworks, and integrations while guiding customers from prototype to scalable, reliable deployment. Collaborate across OpenAI teams to turn real-world deployment insights into product improvements and reusable solutions.

OpenAI London, United Kingdom

Hybrid Permanent

Tech Lead Assist - Robotaxi

This role involves defining the end-to-end architecture for remote assistance in Wayve’s Robotaxi system, integrating vehicle telemetry with real-time human operator support. The Tech Lead will establish safety-critical system requirements, lead cross-team technical execution, and shape the technical roadmap across onboard and offboard systems. The role emphasizes low-latency, reliable, and safe human-in-the-loop operations within an AI-driven autonomous driving environment.

Wayve London, United Kingdom

Remote Permanent

Applied AI Engineer

Design and deploy production AI systems for enterprise clients, guiding them from concept to scalable implementation. Work across the full technical stack to solve complex integration, reliability, and governance challenges while ensuring safety and measurable business impact. Translate real-world deployment experience into reusable tools and product improvements.

OpenAI United Kingdom

Hybrid Permanent

Feature Owner, ADAS

This role involves end-to-end ownership of specific ADAS features such as Traffic Light Recognition, Blind Spot Monitoring, and Pre-Safe systems, ensuring they meet OEM requirements and are delivered to specification. The Feature Owner will work closely with engineering, product, and external partners to define scope, set performance targets, and support validation. Emphasis is placed on technical collaboration, customer advocacy, and aligning feature development with Wayve’s strategic autonomy roadmap.

Wayve London, United Kingdom

On-site Permanent

Commercial Director

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

Luminance London, United Kingdom

Hybrid Permanent

Senior Machine Learning Infrastructure Engineer, Research

This role involves designing and operating distributed training infrastructure for large physics models using NVIDIA DGX B200 systems, with a focus on optimizing training pipelines, data I/O performance, and model serving. The engineer will work closely with research scientists and ML engineers to enable efficient, scalable AI training and deployment in high-performance computing environments, while also building observability and reproducibility into the research workflow.

PhysicsX United Kingdom