Latest ai engineer Jobs

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites to implement solutions on-site. The position focuses on turning research into practical, high-impact tools using Python, PyTorch, and cloud/on-prem infrastructure.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Staff Machine Learning Software Engineer, Research

Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.

PhysicsX London, United Kingdom

On-site Permanent

Senior Software Engineer

This role involves leading backend and edge/IoT engineering efforts to build production-grade AI systems for high-stakes defence applications. The engineer will bridge machine learning research with robust software delivery, using Python and compiled languages like Rust or C++, while implementing scalable CI/CD, containerisation, and Kubernetes deployments. Collaboration with data scientists and mentoring of engineering peers are key aspects of the position.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Senior Software Engineer, Identity

This role involves designing and building core identity and access management systems to support secure authentication and authorization across enterprise platforms. You'll work on implementing SSO, MFA, federated identity, and fine-grained authorization models like ReBAC and RBAC, ensuring compliance with security standards. The position offers deep exposure to AI infrastructure at scale, working with cutting-edge identity frameworks and distributed systems in a high-impact environment.

Scale AI London, United Kingdom

Hybrid Permanent

Machine Learning Engineer, Platform

This role involves building and optimizing retrieval and knowledge representation systems for a generative AI platform. The engineer will design RAG pipelines, develop context retrieval systems balancing performance metrics, and create evaluation frameworks to measure retrieval quality and agent effectiveness. Work includes integrating ML components with enterprise data sources and vector databases while collaborating across product and infrastructure teams.

Scale AI London, United Kingdom

Hybrid Permanent

Senior Machine Learning Engineer

Lead the development and deployment of cutting-edge, production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, define best practices for ML deployment, and act as a technical advisor while mentoring junior engineers. Work in a cross-functional environment with strong emphasis on ethical, reliable AI and client collaboration.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Infrastructure Engineer

Design and implement scalable cloud infrastructure using AWS, GCP, Kubernetes, and Terraform to support high-traffic AI video platforms. Enhance CI/CD pipelines, observability with Datadog, and FinOps practices while enabling product teams through internal tooling and automation. Collaborate closely with engineers in a remote-first, execution-focused environment.

Synthesia London, United Kingdom

Remote Permanent

Software Engineer (TechOps), London

Design and manage cloud infrastructure for a cutting-edge AI-driven drug discovery platform, supporting research and production workloads on GCP. Work closely with scientists, ML researchers, and engineers to build scalable, secure, and automated systems using Kubernetes, Terraform, and modern DevOps practices. Operate in a hybrid environment with a focus on innovation and scientific impact.

Isomorphic Labs United Kingdom

Hybrid Permanent

Support Engineer, London

This role involves providing technical support to internal users, troubleshooting complex IT issues, and developing automation tools to improve operational efficiency. The engineer will manage third-party integrations, support onboarding and offboarding processes, and contribute to building scalable internal systems. A strong focus is placed on documentation, process improvement, and collaboration across teams to enhance the overall support infrastructure.

Isomorphic Labs United Kingdom

Hybrid Permanent

Platform Engineer (Kubernetes)

Design, build, and maintain foundational infrastructure, tooling, and automation for product teams to develop and deliver software efficiently. Focus on deploying and scaling global cloud applications using Kubernetes and cloud-native technologies, with strong emphasis on reliability, observability, security, and automation. Support development teams in optimizing cloud resource usage and transitioning applications to production.

Darktrace Cambridge, CB2 3BJ, United Kingdom

On-site Permanent

Software Engineer (Python)

Develop and prototype innovative cybersecurity solutions as part of a cross-functional R&D team, focusing on advancing Darktrace’s AI-driven threat detection capabilities. Work on projects spanning rapid prototyping to structured development of core platform features, using Python and containerized environments. Collaborate with engineers, designers, and strategists to enhance the speed, scale, and intelligence of cyber resilience systems.

Darktrace Cambridge, CB2 3BJ, United Kingdom

Staff Research Engineer - Multimodal Generative Modelling

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...

Synthesia London, United Kingdom

Remote Permanent

Senior Software QA Test Development Engineer

This role involves designing and implementing automated test frameworks for large-scale distributed systems, with a strong focus on integrating AI and LLMs into QA workflows. The engineer will develop test plans, automate testing for UIs and APIs, and integrate validation into CI/CD pipelines. A key differentiator is leveraging AI tools for test generation, code debugging, and improving testing efficiency across NVIDIA’s engineering infrastructure.

NVIDIA Reading, United Kingdom

Hybrid Permanent

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for NVIDIA's large-scale distributed systems, with a strong focus on QA innovation using AI and LLMs. The engineer will design test plans, automate validation across UIs and APIs, integrate testing into CI/CD pipelines, and enhance testing efficiency using AI-driven tools. A key differentiator is the application of LLMs for test generation, prompt engineering, and QA workflow optimization in a high-performance computing environment.

NVIDIA United Kingdom

Software Engineer, GPU Infrastructure- ChatGPT Engineering

Design and build software to manage large-scale GPU infrastructure supporting ChatGPT inference, including automation, observability, and capacity planning. Develop internal platforms and AI-powered agents to improve fleet efficiency and reduce manual operations across thousands of GPUs. Collaborate with research and engineering teams to enhance reliability and utilization of compute resources.

OpenAI London, United Kingdom

Hybrid Permanent