Artificial Intelligence Jobs

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.

PhysicsX · Singapore

Customer-facing engineering role building and deploying applications that put physics AI models into production for industrial clients. You will work directly with customers, data scientists and ML engineers, prototyping tools, iterating on user feedback, and building Python FastAPI microservices deployed on Kubernetes, Terraform and AWS/Azure.

Faculty · London

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define best practices for deploying ML at scale, and mentor junior engineers. Distinct for its focus on red teaming, evaluation and high-stakes government and frontier lab work.

Faculty · London

Set technical direction for complex AI/ML projects, leading delivery of large-scale platforms in high-risk national security environments. Define roadmaps across multiple workstreams, justify architectural decisions to senior stakeholders, and coach engineers while building shared deployment and CI/CD infrastructure. Requires DV eligibility and occasional on-site client work.

Nordson · Colchester

Lead and unify a globally distributed software engineering organisation across Colchester, Feldkirchen, Bangalore and remote teams in Europe and Asia. The role balances customer-specific delivery with strategic product roadmaps, architectural modernisation and the adoption of AI both in engineering processes and in X-ray, acoustic and optical inspection products.

Wayve · London

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.

Darktrace · Cambridge

Builds and maintains a macOS codebase in modern C++ and Swift, leading projects from rapid prototyping to structured platform development. Works with cross-functional R&D teams on cyber-threat defence, contributing to code reviews, testing and mentoring, with Docker and cloud environments in the stack.

Medtronic · London · £95,200 – £142,800 pa

Builds and maintains the internal platform tooling that other engineering teams rely on, spanning Infrastructure as Code with OpenTofu, EKS and Helm, CI/CD automation, and observability with OpenTelemetry. Works across software groups to remove developer productivity gaps and supports AI agentic workflows, with technical mentorship expected. Based in London with two to three days a week in the office.

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.

83zero · London · £75,000 – £90,000 pa

Design and build intelligent Salesforce solutions, integrating AI capabilities such as Einstein, Prompt Builder and Agentforce into platforms and workflows. Work with business, product and engineering teams to translate complex requirements into scalable technical solutions, optimising data models, automation and integrations with enterprise systems using Apex, LWC and APIs.

Tec Partners Recruitment Ltd · Chelmsford

Lead a globally distributed software organisation across the UK, Europe and Asia, unifying teams from different histories and skill sets into one engineering culture. Balance customer-specific solutions with strategic roadmap delivery and architectural modernisation, while driving AI adoption both in how software is built and in what ships to customers. Own engineering budgets, staffing plans and vendor relationships, reporting to senior leadership.

Synthesia · London

Hands-on principal IC role owning the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability and GPU/cloud resource efficiency. Distinct for its systems-generalist framing rather than pure ML engineering.

Medtronic · London · £76,800 – £115,200 pa

Develops and maintains core application software for intra-operative medical devices, primarily in modern C++ (C++17+), within a multidisciplinary team spanning embedded, cloud and application software. Work covers device monitoring, cloud connectivity, debugging, and security and regulatory compliance for medical-grade systems, with two days per week onsite in London.

ElevenLabs · United Kingdom

Backend-leaning full-stack role building and maintaining a platform on top of cutting-edge voice models used by millions, adding product functionality and integrations, and strengthening internal infrastructure for scale, performance and security. Engineers collaborate with Frontend, Growth and Sales teams, with staffing flexible across projects.

DCV Technologies · United Kingdom · £500 – £675 pd

Hands-on change management and adoption role supporting a global technology client's Copilot and Microsoft 365 rollout. You'll facilitate training and office hours, develop persona-based scenarios, coach change agents and champions, track adoption metrics, and contribute to backlog refinement and sprint planning alongside the ACSM Architect and customer stakeholders.