Latest infrastructure engineer Jobs

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems for internal and external customers, focusing on MLOps pipelines, distributed training, and inference performance. Build open-source tools and reference architectures to scale AI workloads on NVIDIA platforms and cloud partners. Act as a technical advisor for complex production issues across hardware, software, and infrastructure layers.

NVIDIA £292,500 – £650,000 pa

Remote Permanent

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems, focusing on MLOps pipelines, distributed training, and inference performance across cloud and on-prem environments. Collaborate with internal teams and external customers to solve complex infrastructure challenges, particularly around LLMs and new hardware integration. Build open-source tools and reference architectures to scale AI workloads effectively.

NVIDIA PLN 292,500 – PLN 650,000 pa

Machine Learning Engineer, Compiler

This role involves owning the end-to-end ML compilation pipeline for Wayve's autonomous driving technology, working with NVIDIA TensorRT and Qualcomm QNN. Responsibilities include designing compiler passes, integrating with vendor toolchains, and ensuring accuracy and latency requirements are met across various target platforms.

Wayve United Kingdom

Senior Forward Deployed Software Engineer

This role involves building and deploying AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. You'll work directly with customers and data scientists to design end-to-end tools, develop RESTful APIs in Python, and deploy physics-based microservices on cloud infrastructure. The role emphasizes rapid prototyping, user feedback iteration, and distilling cross-domain solutions into reusable platform features.

PhysicsX United Kingdom

Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and safety of machine learning models throughout Wayve's training and release pipeline. The engineer will establish release standards, validate model performance between training phases, and collaborate with platform, CI/CD, and evaluation teams to improve reliability and efficiency. The position involves deep engagement with MLOps workflows, automation, and model delivery infrastructure in a high-impact, safety-critical environment.

Wayve London, United Kingdom

Forward Deployed Software Engineer

Design and build end-to-end applications that integrate AI-driven physics models into real-world engineering workflows. Collaborate with customers and technical teams to prototype, deploy, and iterate tools that solve complex engineering challenges across industries like aerospace, energy, and semiconductors. Work across the full stack with a focus on backend services, cloud infrastructure, and customer-driven product development.

PhysicsX North Tyneside, NE29 8EP, United Kingdom US$150,000 – US$250,000 pa

Member of Technical Staff, Training Infra Engineer

This role involves designing and writing high-performance software for training AI models, improving training infrastructure, and collaborating with top researchers. You will work on state-of-the-art models and contribute to both engineering and research efforts.

Cohere London, United Kingdom

Remote Permanent

Algorithmic Trading Developer - Berenberg Bank

Design and build high-performance Java-based trading engines and real-time systems for algorithmic trading in equities. Develop algo strategies, liquidity-seeking logic, and real-time trading desktops using React. Work closely with trading desks and engineering teams to enhance electronic trading capabilities within a regulated sell-side environment.

eFinancialCareers London, United Kingdom

On-site Permanent

Graduate AI Architect

This role involves supporting the design and development of AI solutions within a telecommunications environment, with a focus on AI integration, network optimisation, and cloud-based data projects. The candidate will work alongside technical teams to implement responsible AI practices and contribute to real-world AI initiatives. A structured training programme and mentorship support professional growth in AI and cloud technologies.

Global Tech Recruitment London, United Kingdom £42,000 – £45,000 pa

Quantitative Researcher - London

As a Quantitative Researcher, you will develop and test innovative signals, models, and trading strategies for global financial markets. You'll work closely with a small, high-performing team to design and implement research tools and data pipelines, applying rigorous statistical and computational methods.

eFinancialCareers London, United Kingdom

On-site Permanent

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

Member of Technical Staff

Design and develop novel generative machine learning models for protein design, integrating with wet lab validation cycles. Work in a cross-disciplinary team to build scalable data pipelines, optimize model performance, and deploy models that function in real-world biological assays. Engage in continuous learning of protein and cell biology to inform model development and contribute to scientific advancement in synthetic biology.

Latent Labs London, United Kingdom, United Kingdom

Hybrid Permanent

AWS Specialist Sellers, Strategic Pursuits

Lead high-value enterprise opportunities through the joint AWS and OpenAI co-sell motion, working closely with AWS field teams and internal stakeholders to shape and close strategic deals. Focus on driving GenAI adoption and enterprise transformation by aligning technical capabilities with business priorities. Develop repeatable playbooks and serve as a commercial advisor in complex, multi-stakeholder environments.

OpenAI London, United Kingdom

Hybrid Permanent

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

Anthropic Fellows Program, AI Safety & Security

This role involves conducting empirical AI safety research over a 4-month fellowship, working on projects such as scalable oversight, adversarial robustness, and mechanistic interpretability. Fellows receive mentorship from Anthropic researchers, access to compute resources, and produce public outputs like research papers. The program supports remote participation in the UK, US, or Canada, with optional co-location in London or Berkeley.

Anthropic United Kingdom

Hybrid Internship