Artificial Intelligence Jobs

Faculty · London

Lead and grow a banking practice within an applied AI consultancy, shaping go-to-market strategy and building relationships with C-suite banking leaders. You will drive complex AI transformation programmes from strategy through software delivery, generate revenue through pitches and demos, and mentor multidisciplinary teams. The role blends commercial ownership with deep sector expertise in a regulated industry.

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.

eFinancialCareers · London

Hands-on core engineering role building production-grade agentic AI systems, including agent reasoning loops, memory management and sub-agent delegation in Python. You will develop custom Model Context Protocol servers connecting agents to enterprise systems such as ServiceNow, JIRA, Kafka and internal REST/gRPC services, and implement resilient error handling, retries and human-in-the-loop escalation. The position sits within Line of Business squads, also involving guardrail integration, evaluation harnesses and coaching junior developers.

Isomorphic Labs · London

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

Wayve · London

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

Wayve · London

Lead a small team iterating on Wayve's end-to-end L2 driving model, balancing hands-on Python coding and experiments with directing priorities. You'll root-cause on-road issues and fix them through data recipes, model architecture, evaluation and release readiness, working across teams on model and vehicle interface problems.

Adria Solutions · Huddersfield · £55,000 – £70,000 pa

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Involves dataset preparation, model evaluation, performance tuning for accuracy and inference speed, automated testing and debugging of vision pipelines. Hybrid or remote, with a path to lead an AI team.

OpenAI · London

Builds and scales the infrastructure that trains and deploys AI agents, spanning a novel in-house container orchestration platform, FastAPI and gRPC APIs, and Terraform-managed cloud systems. Works closely with researchers on large-scale training runs and with product teams launching agentic products to hundreds of millions of users.

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.

Causaly · London

Builds and operates the platform running long-lived agentic workflows, where a single run can last hours and fan out across dozens of subagents. Work spans durable execution, checkpointing and retries, LLM integration with guardrails, and tracing and cost attribution across services and two languages, weighted towards backend and platform in TypeScript and Node.js.

Causaly · London

Builds and operates the platform running long-lived agentic workflows in production, where a single run can last hours and fan out across dozens of subagents. Work spans durable execution, checkpointing and retries, LLM integration with guardrails, and tracing and cost attribution across services and two languages, with a backend and platform weighting in TypeScript and Node.js.

Harnham - Data and Analytics Recruitment · United States · US$200,000 – US$225,000 pa

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.

Synoptix · Gloucestershire · £51,000 – £60,500 pa

Works across multiple projects and all stages of the SDLC, leading software design, development, testing and deployment for AI and Computer Vision products. Splits time between internally and externally funded R&D, product development and client-facing service work, providing SME guidance on architecture and design within multidisciplinary teams.

Isomorphic Labs · London

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services to solve scaling limits, and partner with research, product and operations teams to align infrastructure with biotech R&D cycles.

Synthesia · Seattle, United States · US$200,000 pa

Builds and operates core enterprise platform systems, ensuring security, reliability and scalability for large customers, and contributes to a new API suite exposing Avatar technology to external creative tools. Owns multi-month, cross-team projects, translating business and regulatory requirements into scalable designs, and works with Python, React and AWS alongside product, security, legal and infrastructure partners.