Latest Software Developer cambridge Jobs

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Senior Software Engineer (Product, AI Portal)

Build and operate cloud-based software products for internal and external users, focusing on services, APIs, integrations, and web interfaces within a high-ownership, end-to-end team. Work across microservices, frontends, and cloud infrastructure to improve reliability and customer experience while supporting production systems and partner integrations.

Wayve London, United Kingdom

Hybrid Permanent

Senior Developer Relations Manager - Manufacturing

This role involves driving adoption of NVIDIA's AI and accelerated computing platforms within the manufacturing sector across EMEA. You'll work directly with developers, ISVs, startups, and industrial enterprises to build solutions in robotics, digital twins, computer vision, and predictive maintenance. The position focuses on technical enablement through workshops, reference architectures, and co-innovation, while bridging developer feedback to internal product and engineering teams.

NVIDIA

Senior Developer Relations Manager, ISV

This role involves driving adoption of NVIDIA's AI and computing platforms among independent software vendors (ISVs) and developer communities. The Senior Developer Relations Manager will act as a technical advocate, supporting partners with integration, co-innovation, and solution development while gathering field insights to influence internal product roadmaps. The position emphasizes deep technical engagement, strategic partnerships, and cross-functional collaboration across engineering, product, and marketing teams.

NVIDIA Reading, United Kingdom

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Embedded Automotive Platforms Software Engineer

Design and develop embedded software, SDKs, and hardware abstraction layers to enable autonomous driving systems to run consistently across diverse automotive platforms. Integrate core AV functions like inference, control, and localisation while minimising platform-specific customisation. Work across Linux and QNX systems, collaborating with hardware partners and cross-functional teams to ensure robust, scalable, and maintainable embedded solutions.

Wayve London, United Kingdom

Hybrid Permanent

Developer Evangelist

This role involves driving developer adoption of Synthesia's AI video API by creating practical technical content, building sample applications, and engaging directly with developer communities. The Developer Evangelist will act as a bridge between external developers and internal product teams, producing tutorials, livestreams, and conference talks that demonstrate real-world integrations. They will also gather developer feedback to influence product direction and grow a self-sustaining developer ecosystem around the platform.

Synthesia Seattle, Washington, United States

Permanent

iOS Mobile Software Engineer II

Design and develop iOS SDKs for secure document capture and identity verification, focusing on high-quality image processing, accessibility, and seamless integration into customer applications. Collaborate with cross-functional teams in an agile environment to enhance mobile SDK performance and user experience across multiple platforms.

Entrust London, United Kingdom

Hybrid Permanent

iOS Mobile Software Engineer II

This role involves developing and enhancing iOS SDKs for secure document capture as part of Entrust’s identity verification platform. The engineer will focus on building high-quality, accessible camera and image processing features using Swift, while collaborating with cross-functional teams to deliver a seamless end-user experience. Work includes SDK development, on-device machine learning integration, and improving test automation and CI/CD pipelines.

Entrust Portugal

Hybrid Permanent

AI Infrastructure Engineer, Sandbox Platform

This role involves building and maintaining a secure, high-performance sandboxing platform for AI agent workflows, focusing on strong isolation, low-latency execution, and developer experience. The engineer will design APIs, optimise resource utilisation, debug production issues, and collaborate with internal teams to shape the platform’s evolution across containerised and virtualised environments. It requires deep systems expertise in Linux internals, virtualisation, and developer-facing tooling.

Scale AI London, United Kingdom

Senior Machine Learning Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom

Principal Machine Learning Infrastructure Engineer

This role involves designing and operating distributed machine learning infrastructure for large-scale physics-based AI models, with a focus on training efficiency, data pipeline performance, and model serving. The engineer will work closely with research scientists and ML engineers to build scalable systems on NVIDIA DGX hardware, optimize I/O for complex mesh datasets, and enable reliable deployment of models into customer environments. A strong foundation in distributed training, HPC systems, and Kubernetes is essential.

PhysicsX London, United Kingdom

AI Evaluation Engineer

This role involves designing and implementing technical evaluation frameworks for AI systems, with a focus on model performance, safety, and responsible AI. The engineer will develop automated testing pipelines, translate policy and risk considerations into measurable benchmarks, and report findings to stakeholders. Work takes place in a government context using cloud platforms and agile practices, with hybrid attendance in London, Bristol, or Manchester.

Summer Browning Associates United Kingdom £700 – £750 pd

Hybrid Contract Clearance Required

AI Engineer

An AI Engineer will design, build, and ship full-stack applications using TypeScript and AWS, with a focus on rapid prototyping and AI-assisted development. The role involves creating AI and generative AI features, deploying cloud-native solutions, and collaborating across product, design, and data teams. The engineer will own features end-to-end in an Agile environment, balancing production code with fast iteration on new concepts.

167 Solutions Bristol, United Kingdom £40,000 – £70,000 pa

Hybrid Permanent

Sr. Forward Deployed Engineer - Architect - Full Stack

Lead the design and implementation of production-grade data and AI systems for strategic customers using the Databricks platform. Work hands-on to architect end-to-end solutions combining data engineering, machine learning, and application development while embedding with customer teams to drive adoption and impact. Contribute reusable frameworks and influence product direction through direct customer feedback.

Databricks London, United Kingdom

Senior Forward Deployed Engineering - Architect

This role involves working directly with enterprise customers to design and implement end-to-end data and AI solutions on the Databricks platform. The engineer leads architectural decisions, builds production-grade systems, and integrates data pipelines with ML/AI models and applications. Emphasis is placed on customer collaboration, reusable solutioning, and influencing product development through real-world feedback.

Databricks London, United Kingdom

Hybrid Permanent

Technical Program Manager, Platform

This role involves leading the end-to-end delivery of Scale AI’s Generative AI Platform (SGP), focusing on strategic planning, cross-team alignment, and execution of core infrastructure initiatives. The Technical Program Manager will translate complex technical requirements into actionable roadmaps, manage risks in large-scale AI systems, and ensure platform reliability and adoption. It requires deep expertise in developer tooling, distributed systems, and cloud-native infrastructure within a fast-paced AI environment.

Scale AI London, United Kingdom

Hybrid Permanent