360 jobs for “Software Developer cambridge”
PhysicsX Singapore
Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.
PhysicsX Singapore
Join a new Singapore research team building physical foundation models for industrial engineering, translating physics challenges into mathematical formulations and training deep learning models on large datasets. You will own research workstreams, run experiments, and communicate results to customers and at publication venues, with a focus on operator learning, geometric deep learning, or generative models for geometry and spatiotemporal data.
Ncounter Reading £120,000 – £140,000 pa
Hands-on engineering leadership role in a technology consultancy serving National Security & Defence, blending people management with technical ownership. You'll lead a multidisciplinary software, platform and DevOps team, define architecture and standards across cloud-native, AI/ML and MLOps platforms, and oversee production delivery into customer environments. Distinct for requiring SC or DV clearance and defence experience while remaining close to the technology.
Ocado Forest Park, United States
Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role involves shift work, working at heights, and initial training travel.
University of Oxford Oxford £49,119 – £59,955 pa
Leads a research strand on Bayesian methods for evaluating and monitoring AI systems, publishing findings, running the lab's open-source software, producing policy-facing outputs, and guiding research assistants and students. Based in the Bayesian Governance Lab within Oxford's Department of Engineering Science, in collaboration with the Oxford Martin AI Governance Initiative, on a two-year fixed-term post.
CBSbutler Holdings Limited trading as CBSbutler Uxbridge £600 – £625 pd
Hands-on technical leadership across a major airline's Data & AI team, driving a 2026 data engineering workstream. You will design scalable AWS data pipelines, implement CI/CD and DevOps practices, and mentor data and software engineers. Snowflake and AI-assisted development experience are desirable.
Ocado Monroe, United States
Provide first response to engineering fault conditions and carry out electrical and mechanical planned maintenance across a highly automated customer fulfilment centre. Diagnose equipment breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, and analyse data to improve material handling equipment performance. The role includes an initial 6-9 months of training, likely involving travel to another North American site, and works a shift pattern covering days and weekends.
Queen's University Belfast Belfast £42,972 – £51,270 pa
Conducts research in hardware-accelerated custom computing within QUB's Centre for Secure Information Technology, contributing to the European RIGOLETTO initiative on an open RISC-V automotive hardware platform for software-defined vehicles. Involves FPGA design, CPU architecture work, and collaboration with academic and industrial partners.
University of Bristol Bristol £44,746 – £50,253 pa
Builds and operates the software-defined compute and storage/networking platforms behind the UK's most powerful supercomputer, using Python, Rust, Terraform/OpenTofu, Kubernetes, Git and Bash. Works closely with AI researchers to co-design and debug massive-scale GPU and CPU/GPU workloads, with a focus on stability, security and scaling.
Helsing Berlin, Germany
Integrates state-of-the-art AI and software into complex customer systems, working directly with avionics engineers and partners to understand unfamiliar data structures, APIs and network protocols, then building adapters to connect them to Helsing's cloud infrastructure. Owns delivery end-to-end, from formalising requirements and fixing bugs to shipping features and running technology demonstrations in simulations or on real systems.
Harnham - Data and Analytics Recruitment London £70,000 – £80,000 pa
Build, scale and maintain backend services including APIs, workflow engines and data services, integrating Java/Spring components with Python-based AI services. Work across AWS cloud infrastructure, CI/CD pipelines, observability and security best practices in a collaborative, fast-paced product team.
Ncounter Reading £120,000 – £140,000 pa
Hands-on engineering leadership role overseeing a multidisciplinary team of software, platform and DevOps engineers. You'll own technical architecture and standards across cloud-native applications, AI/ML platforms and MLOps, while remaining close to delivery and shaping longer-term technical strategy for National Security and Defence customers.
Harnham - Data and Analytics Recruitment Abingdon US$200,000 – US$225,000 pa
Build scalable data platforms, pipelines and ML infrastructure, and deploy production AI solutions including LLMs, RAG systems and AI agents. Work in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.
Maxwell Bond London £150,000 – £175,000 pa
Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.
NVIDIA Cambridge
Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to develop advanced compiler features and contribute to next-generation compute platforms. Analyze real-world workloads to drive improvements in both compiler toolchains and future CPU architectures.
