334 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.
CrowdStrike United Kingdom
Join the Advanced Research Team to conduct vulnerability research and exploit development, analysing vendor patches to identify vulnerabilities and build proof-of-concept exploits. The role also involves reverse engineering, investigating 0-day and n-day exploitation, and developing automated tooling to process and analyse data at scale, with results published on the blog or at conferences.
CrowdStrike Israel
Security researcher role on CrowdStrike Intelligence's Advanced Research Team, performing vulnerability research and exploit development across a wide range of targets. Day-to-day work includes analyzing vendor patches, identifying exploits in large file collections, reverse engineering, and building automated data collection and analysis tooling, with published research on the blog or at conferences.
Wayve London
Lead functional safety activities for an end-to-end autonomous driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence to support certification.
NVIDIA Reading
Lead the definition and implementation of hardware and software security architecture for next-generation networking products, taking a hands-on role in microarchitectural modelling, validation and standards work. Collaborate with internal hardware, software and research teams plus external partners on open-source and IO interfaces such as I2C, I3C, SPI, USB and PCIe, and engage with customers on security threats.
NVIDIA United Kingdom
Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across hardware, software, research and product teams, and with external partners, on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms.
Faculty London
Lead high-impact AI safety projects for Frontier Labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members while partnering with commercial teams to scope work and translate complex problems into rigorous frameworks. Requires Python, NumPy, Pandas and ideally evaluation tooling like Inspect AI.
Scale AI United Kingdom
Fellows design domain-specific problems and datasets to evaluate generative AI models, then provide expert insight to improve their accuracy and reasoning. Work is project-based with partnered AI labs, including co-authoring technical reports and research papers with Scale's research team. Fully remote, flexible 10-40 hour weeks within an interdisciplinary network.
IQVIA Reading
Supports a global pharmaceutical client by applying statistical methods to biological, biomedical and omics datasets, building reproducible analytical workflows in R and/or Python. The role sits at the intersection of statistics, data science and AI, developing AI-enabled tools, agents and automation that speed up discovery and translational research decisions alongside scientists and engineers.
Isomorphic Labs London
Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents, reinforcement learning and fine-tuning, with model training and inference engineering at scale. Interdisciplinary collaboration with research scientists and engineers, plus technical mentorship and project leadership depending on experience.
Isomorphic Labs London
Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments, and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists and domain experts, with opportunities to lead projects and mentor others depending on experience.
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.
Wayve London
Owns reliability of large-scale GPU, Kubernetes and distributed AI training infrastructure, turning recurring operational problems into durable engineering solutions. Improves observability, automation, deployment safety, capacity planning and incident learning, and builds GitOps delivery with Argo CD or Flux. Works across AI Platform, Compute & Data Platform and Cloud Infrastructure teams.
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.
