87 jobs for “Software Developer cambridge”
PhysicsX Singapore
Lead technical delivery of physics-informed AI, architecting deep learning models and optimisation methods to predict and control physical systems. Own data pipelines and pre-processing best practices while mentoring a team and collaborating with simulation engineers and customers. Involves frequent on-site customer travel across multiple regions.
PhysicsX Singapore
Lead the deployment of ML models and engineering surrogates—deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, and optimisation—into customer production environments. Own scoping, architecture, and success metrics for data/ML systems built with Python, PyTorch, Pandas, fastAPI, Scipy, and Kubeflow across cloud and on-prem. Mentor engineers and data scientists while travelling 3-4 weeks per quarter to customer sites worldwide.
Faculty London
Owns and develops product and service design as a core discipline within the Applied AI division, delivering billable client engagements and anchoring project deliverables. Builds executive relationships with client leadership, defines skill and progression frameworks, and partners with business development to shape multidisciplinary teams. Balances strategic delivery with building an entrepreneurial design function.
Wayve London
Owns the data strategy behind an end-to-end autonomous driving AI platform, spanning the full learning cycle from foundation model training to production programmes. Leads a multidisciplinary data organisation, deciding what data matters and building the flywheel from real-world signals through discovery, curation and enrichment. Focuses on finding rare, safety-critical scenarios in very large datasets using embeddings, semantic search and model-driven selection.
Multiverse London
Deliver technical AI content across the AI for Business Value and AI-Powered Productivity programmes, facilitating workshops and drop-in sessions for apprentices. Moderate assignments, provide feedback, and coordinate with coaches and operations to track learner progress. Requires applying AI in business contexts and explaining complex concepts to varied audiences.
OpenAI London
Lead a team of senior Applied AI Architects acting as the technical "CTO of the book of business" for OpenAI's largest enterprise customers across North EMEA. Own technical account strategy, resource allocation and paths to production across ChatGPT Enterprise, the API, Codex and agentic solutions, while coaching the team and serving as an executive technical sponsor.
eFinancialCareers London
Lead a small, high-performing team of 6-7 engineers owning core ML infrastructure, including distributed model training, LLM hosting and fine-tuning, and scalable deployment systems. The role combines hands-on technical direction with people leadership, integrating advanced ML capabilities into production-grade, high-stakes systems. Suited to experienced engineering managers, not first-time managers.
Faculty London
Drives technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. Leads capability testing for Frontier AI models, builds scalable ML infrastructure and multi-agent tooling, and advises senior client stakeholders while mentoring engineers.
Aveni United Kingdom
Senior technical co-lead of a product squad, owning architectural decisions, technical risk and engineering quality while remaining hands-on across Node.js or Python backends, event-driven AWS and React. Leads LLM feature development, drives AI coding tool adoption across the SDLC, and mentors engineers in an FCA-regulated fintech context.
Back TO Work Gateshead £25,900 pa
Join an educational software support company to help build an AI Agent, working across data preprocessing, exploratory analysis, model fine-tuning and implementation of machine learning algorithms. Collaborate with cross-functional teams to define requirements and deliver scalable solutions while keeping up with the latest AI advancements. Aimed at early-career candidates with no prior experience required.
Back TO Work South Shields £25,900 pa
An early-career role building an AI Agent for an educational software support company, covering data preprocessing, exploratory analysis, model fine-tuning and implementing machine learning algorithms. The position works with cross-functional teams to define requirements and deliver scalable solutions, and is aimed at someone new to the industry with no prior experience required.
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.
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.
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.
eFinancialCareers London
You will partner with portfolio managers, analysts and researchers to understand investment workflows, then design, build and deploy AI-powered applications and data tools for front-office teams. The role sits in a central Data & AI team, integrating large-scale data, machine learning models and modern software engineering practices in a fast-paced hedge fund environment.
