286 jobs for “Python”
PhysicsX Singapore
Builds physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Works closely with research scientists, simulation engineers and customers, owning research work-streams and translating results into reusable libraries, tooling and products.
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.
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.
CrowdStrike United Kingdom
Monitors and performs in-depth analysis of security alerts on the CrowdStrike platform, handling incidents across Windows, Mac and Linux, including malware analysis and remote remediation. Works in a virtual security operations centre, producing written findings for customer management and improving detection and triage processes.
Databricks London
Hybrid technical and commercial role acting as post-sale technical lead across all Databricks products for strategic accounts. You own the technical account strategy and execution plan, driving use cases from win to production, coordinating internal teams, and reporting on usage and customer health. Requires Python or Spark programming and customer-facing architecture or consulting experience.
Databricks London
Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. You embed with client teams, from technical ICs to executives, to scope and deliver end-to-end solutions, contributing reusable accelerators and product feedback. Requires hands-on coding in Python, Scala or TypeScript, deep Apache Spark and distributed computing expertise, and multi-cloud knowledge, with around 20% travel to customer sites.
Entrust France - Field (Onfido)
Owns test planning, coordination and execution within a cross-functional identity verification product team, covering web, mobile, backend and ML-powered journeys. Builds maintainable automated frameworks and suites, mentors colleagues, and leads quality initiatives across engineering teams. Combines automation with exploratory testing and works with TypeScript, Ruby, Python, Playwright, Cypress and CI/CD pipelines.
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
Builds and maintains core C++/Python components that interface self-driving models with vehicle and embedded systems, plus infrastructure to run and test autonomy capabilities. Owns reliability and performance of Linux-based systems and specialises in one domain such as localisation/mapping, filtering/diagnostics or control/inference, in a team scaling to 5-6 engineers.
Scale AI London
New grad engineers own customer-facing work from day one, shipping products, speaking directly with customers and iterating quickly. The Global Public Sector team builds custom AI applications, training data pipelines for national LLMs, evaluation infrastructure, agentic AI tooling and fraud-detection systems, working in Python, TypeScript, React and MongoDB.
Darktrace Cambridge
Acts as the go-to authority in a chosen reliability specialism—observability, performance engineering, data infrastructure, security-focused SRE or network reliability—defining standards and best practices across SRE, Platform Engineering and DevSecOps. Builds tooling and automation, leads deep-dive investigations into systemic issues, and contributes to incident response and on-call rotations in a cloud-native, Kubernetes-based environment.
Corecom Consulting Belfast £25,500 pa
A two-year academy programme for career changers with no prior experience or degree, combining full-time hybrid training with client project work. Trainees cover Agile, SQL, APIs, Python, testing, data science and AI/ML, then work as an AI Engineer and Software Quality Engineer on real client projects.
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.
OpenAI London
Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and handoff. Works with government agencies, systems integrators and cloud providers on data residency, sovereign and regulated deployments, building prototypes on model APIs and Codex while feeding insights back to Product and Research.
MFK Recruitment Brentford £70,000 – £95,000 pa
Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.
