212 jobs for “Software Developer cambridge”
NVIDIA Cambridge
Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components for end-to-end inference. Involves mapping large-scale neural network workloads onto future hardware, working with LLVM/MLIR, and collaborating with hardware architects on codesign. Hybrid role based in Cambridge.
NVIDIA United Kingdom
Develops algorithms and optimizations for NVIDIA's LPX inference and compiler stack, building high-performance runtime and compiler components and mapping large-scale inference workloads onto future hardware. Works at the intersection of compilers, systems and deep learning, using LLVM/MLIR and frameworks like PyTorch and TensorFlow, and collaborates with hardware architects on codesign.
PhysicsX London
Builds and owns high-fidelity computational plasma models for semiconductor processes such as etching, CVD/ALD deposition and ion-driven surface interactions, using tools like COMSOL, HPEM, VizGlow and CFD-ACE+. Works directly with semiconductor customers, often on-site, to scope challenges and validate simulations, and collaborates with data scientists and ML engineers to embed the work into AI-powered workflows.
PhysicsX London
Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, forecasting, anomaly detection) into customer production environments, building scalable training and inference pipelines with Python, PyTorch, Kubeflow and fastAPI. Leads scoping and architecture, mentors engineers, and travels to customer sites roughly 3-4 weeks per quarter.
Aioi Nissay Dowa Europe Oxford £81,322 – £112,488 pa
This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.
DCV Technologies Windsor £550 – £600 pd
Hands-on contract role designing, testing and optimising production-grade LLM prompts for chatbots, voice bots, IVR and messaging channels. Involves building agentic AI workflows with tool calling and multi-step reasoning, implementing RAG and evaluation frameworks, and adding guardrails for privacy, PII and hallucination reduction. Works with engineering, product and CX teams on a major digital transformation programme.
Randstad Technologies Recruitment London £432 – £484 pd
Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role blends Python/Java engineering, AWS and Azure cloud pipelines with Airflow orchestration, plus roughly 20-25% frontend work on guardrail interfaces, alongside production support and ML evaluation metrics.
DCV Technologies London
Designs and builds agentic AI systems with multi-step reasoning, planning and action execution, using Python, Azure OpenAI, Semantic Kernel and LangGraph for multi-agent orchestration. Works on RAG architecture, vector stores, MCP tool integration and productionising LLM services for a major UK retailer, with a focus on performance, cost, latency, governance and responsible AI.
Circle Recruitment Cardiff £45,000 – £53,000 pa
Lead the design, development and deployment of AI-powered tools, including automation, RAG and LLM-based workflows, while guiding technical direction and mentoring a small team of engineers. Work with senior stakeholders on secure, scalable, governance-compliant AI systems, using Python, Java or JavaScript/TypeScript with frameworks such as PyTorch and TensorFlow.
Ocado Kraków, Poland
Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training through serving, monitoring and MLOps, while coaching others and shaping reusable platform building blocks.
Anthropic London £225,000 – £255,000 pa
Embed directly with strategic enterprise customers to ship production AI applications built on Claude models, delivering artifacts like MCP servers, sub-agents and agent skills. Combines hands-on Python engineering with customer-facing discovery, codifying repeatable deployment patterns and feeding insights back to Product and Engineering. Founding FDE role with frequent travel (25-50%) to customer sites.
CrowdStrike London
Builds and maintains a high-performance, fault-tolerant production backbone network spanning multiple cloud providers, covering IP and optical technologies that connect data centres and edge sites. Owns improvement initiatives from funding and planning through implementation, drives capacity forecasting, and participates in a 24x7 on-call rotation.
CrowdStrike Romania
Join the Advanced Research Team to perform vulnerability research across a wide range of targets, including analyzing vendor patches, developing proof-of-concept exploits, and confirming exploitation of 0-day and n-day vulnerabilities. The role also involves building automated solutions for collecting and processing data at scale, reverse engineering, and publishing research on the CrowdStrike blog or at conferences.
Wayve London
Lead large-scale data enrichment and curation for the Core Model Safety team, mining hard and rare events and building workflows across pre/mid-training, reward modelling and self-supervised labelling. Design and train out-of-distribution detection mechanisms for robust driverless operation, working at the intersection of model engineering, infrastructure, compute and data.
Wayve London
Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL-based data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, with close collaboration across Product, Safety and Release stakeholders.
