92 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.
Back TO Work Derby £26,500 pa
An apprenticeship supporting a manufacturing firm's IT and security team, monitoring production networks for unusual activity, responding to alerts, managing user access and updating security guidelines. The role blends cybersecurity with AI, using AI-powered tools for anomaly detection, automation and analytics dashboards, while learning to protect operational technology and connected factory devices.
University of Oxford Oxford £39,424 – £47,779 pa
Develops novel statistical and machine learning methods for large-scale genomic, phenotypic and health data, covering areas such as genomic language models, multimodal and federated learning, and multi-ancestry methods. Builds scalable, reproducible research software applied to biobank-scale datasets, evaluates statistical and predictive performance, publishes findings and guides junior researchers in the Palamara Group.
Local Pensions Partnership Administration Preston £90,000 – £100,000 pa
Lead AI strategy, governance and delivery across a major UK pension administration organisation, working with the CTO and executive team to identify and scale AI opportunities. Establish responsible AI frameworks, build and manage a specialist AI team, and oversee adoption of tools such as Microsoft Copilot, Civica UPM and UiPath. The role combines strategic leadership, risk assurance and supplier engagement to drive measurable service improvements.
Adecco London £700 – £800 pd
Drives enterprise-wide AI adoption within an EMEA Data Management Office, bridging business needs and AI capabilities. Develops use cases, playbooks and prompt libraries, runs training and champion networks, and tracks adoption, value and ROI. Hybrid role in London, three days per week on site.
Aioi Nissay Dowa Europe United Kingdom £81,322 – £112,488 pa
Dual role combining line management of a growing ML engineering team with hands-on technical delivery across multiple client projects. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support pre-sales and use case discovery alongside commercial teams.
Wayve London
Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, developing calibration, registration, temporal alignment and motion compensation methods. Blends algorithm research with production deployment in C++/Python, providing technical leadership and mentorship across the 3D sensing stack.
Faculty London
Serve as a high-level technical authority steering the most complex AI projects, architecting scalable large-scale systems and setting technical direction for flagship initiatives. Provide authoritative advice across business units, influence company-wide technical strategy, and act as a respected expert for internal teams and external customers in the financial services space.
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.
Becrypt Ltd London
Hands-on principal-level individual contributor leading AI adoption across engineering, product, IT and operations. Designs and builds agentic workflow platforms, AI gateways and Docker-based services using Python, FastAPI, TypeScript, MCP/FastMCP, OpenAI and AWS Bedrock, while owning AI policy, governance and risk frameworks. Also probes AI systems for vulnerabilities and advises leadership on AI strategy.
CrowdStrike United Kingdom
As an Associate Consultant on the Platform Professional Services team, you'll act as a trusted advisor helping customers operationalise Falcon Next-Gen SIEM, demonstrating capabilities and shaping a technical roadmap. Day to day you deliver integration services, knowledge transfer on LogScale NGSIEM, and feed customer requirements back to product teams.
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.
eFinancialCareers London
Lead technical architecture and hands-on delivery of production-grade agentic AI systems for critical banking workflows within an embedded business engineering team. Build end-to-end workflows using Python, ADK, LangGraph and the Arc platform, integrating agents with core banking systems, enterprise APIs and custom MCP servers, while mentoring engineers and shaping reusable enterprise AI capabilities.
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.
