Latest Data Engineering Jobs

Principal Security Engineer – DevSecOps and Security Architect

This role involves leading security initiatives across the software development lifecycle, with a focus on integrating security into CI/CD pipelines, conducting threat modeling, and guiding secure design for web applications, APIs, and cloud services. The Principal Security Engineer will establish secure coding standards, mentor engineering teams, and manage the product vulnerability lifecycle. The position operates in a high-impact, collaborative environment shaping security for an AI-driven simulation platform in advanced engineering sectors.

PhysicsX United Kingdom US$200,000 – US$300,000 pa
Hybrid Permanent

Deployment Lead

Lead end-to-end deployment of a Kubernetes-based AI simulation platform into customer environments, serving as the primary technical liaison for C-suite stakeholders while building and scaling regional deployment teams. The role combines hands-on infrastructure leadership with executive engagement, ensuring deployments meet technical, security, and compliance standards in highly regulated industries such as aerospace, energy, and semiconductors.

PhysicsX England
Hybrid Permanent Clearance Required
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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
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Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)

Conduct empirical research on AI's economic and societal impacts, using external data and models to explore labor markets, policy, and security implications. Work closely with mentors and contribute to actionable insights for AI safety and governance. Projects may involve methodological innovation and analysis of AI's broader effects on society.

Anthropic United Kingdom
Hybrid Internship
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Lead Technical Program Manager, AI Platform

Lead and grow a technical program management function for Wayve's AI Platform, driving delivery across data and compute infrastructure, model development tooling, training systems, and embedded inference optimisation. Partner with engineering leadership to accelerate developer velocity, improve compute efficiency, and ensure reliable platform performance in a fast-paced, innovative environment focused on embodied AI for autonomous vehicles.

Wayve London, United Kingdom
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Staff Robotics Engineer, 3D Sensing

Develop and lead the technical architecture for LiDAR and cross-sensor 3D sensing systems, focusing on calibration, synchronisation, and motion compensation across diverse vehicles and environments. Design robust algorithms for sensor alignment and temporal registration using optimisation and state estimation techniques. Provide technical mentorship and drive production-grade deployment of 3D sensing pipelines across Wayve’s autonomous driving platform.

Wayve London, United Kingdom

Senior Manager

Lead the delivery of AI-powered agents for critical processes in life sciences and healthcare, acting as a bridge between advanced technology and real-world impact. Drive enterprise implementations, manage high-stakes client relationships, and shape product development through direct customer insights. Work across engineering, data science, and business teams to scale solutions and build reusable delivery frameworks.

Faculty AI London, United Kingdom
Hybrid Permanent

Software Engineer

This role involves building and scaling the Frontier Decision Intelligence platform, focusing on creating enterprise-grade AI solutions for high-impact sectors like healthcare and life sciences. You'll work across full-stack development with Python and TypeScript, designing APIs and SaaS user experiences while collaborating in cross-functional squads. The position emphasizes technical ownership, scalable architecture, and solving complex real-world problems using state-of-the-art tools and practices.

Faculty AI London, United Kingdom
Hybrid Permanent

Machine Learning Engineer

Design and deploy production-grade machine learning systems for high-impact clients in national security and AI safety. Work across the full ML lifecycle, from prototyping to scalable deployment, using cloud infrastructure and modern MLOps practices. Collaborate with cross-functional teams to deliver secure, reliable AI solutions that solve real-world challenges.

Faculty London, United Kingdom
Hybrid Permanent

Physicist – Photonics & Optics

This role involves tackling diverse technical challenges in optical physics and applied science, with a focus on designing and developing photonic integrated circuits for applications in defence, healthcare, and energy. The physicist will work hands-on in the lab and on desk-based analysis, contributing to innovative projects such as sensing chips, imaging systems, and miniaturised photonic devices. Collaboration within multidisciplinary teams and rapid learning of new domains are central to the role.

Cambridge Consultants United Kingdom
On-site Permanent Clearance Required

Senior Digital Electronics/FPGA Engineer

This role involves leading the design and development of advanced digital electronics and FPGA-based systems for cutting-edge communications technologies, including Low Earth Orbit Satellites and High-Altitude Platform Systems. The engineer will work on high-speed board-level design, FPGA verification, and system architecture within small, interdisciplinary teams. Projects are innovative and varied, spanning telecommunications, healthcare, and sustainable energy, with access to in-house prototyping and testing facilities.

Cambridge Consultants United Kingdom
On-site Permanent

Member of Technical Staff, Modeling

This role involves designing, building, and scaling AI systems to serve enterprise and developer customers, with a strong emphasis on both research and production engineering. You'll work on frontier models using large-scale compute and data infrastructure, implementing novel research ideas and deploying state-of-the-art models. The position offers deep engagement with cutting-edge AI research while contributing directly to product development in a highly collaborative, remote-friendly environment.

Cohere London, United Kingdom
Remote Permanent

Member of Technical Staff, Training Performance Engineer

This role involves optimizing the performance of large language models during training, focusing on improving throughput and accelerator utilization. You'll design high-performance software, write low-level CUDA and Triton kernels, and develop profiling tools to eliminate bottlenecks. The position sits within a research-driven team working at the intersection of ML and systems engineering, leveraging large-scale infrastructure to advance NLP capabilities.

Cohere London, United Kingdom
Hybrid Permanent

Senior Developer Relations Manager UK&I

This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, enabling solutions using NVIDIA's stack, and translating field feedback into product insights. Emphasis is placed on technical engagement, ecosystem growth, and cross-functional collaboration to accelerate AI-driven innovation in targeted verticals.

NVIDIA Reading, United Kingdom

Senior Machine Learning Applications and Compiler Engineer, LPX

Develop high-performance compiler and runtime components for NVIDIA's LPX inference stack, focusing on end-to-end optimization of neural network workloads. Collaborate with hardware teams to co-design future architectures and implement novel compilation techniques for spatial accelerators. Profile and benchmark performance while contributing to libraries and tools for cross-platform model deployment.

NVIDIA Cambridge, United Kingdom
Hybrid Permanent