Artificial Intelligence Jobs in London

Synthesia · Germany

Land and expand enterprise logos of 1,000–20,000 employees across the DACH region, driving ARR through direct and teamed prospecting, product demos and accurate quarterly forecasting. Works closely with Customer Success on adoption, retention and expansion, using value-driven methodologies such as MEDDPICC. Requires native-level German and a track record selling to DACH enterprises.

Synthesia · UK Remote

Shape how the company shows up in experiential moments worldwide, designing booths, spatial environments, signage, print and merchandise from concept to production. Develop cohesive event identities across physical and digital touchpoints, storyboard motion content for keynotes, and art-direct external vendors. Works in a small senior brand design team with low process and high ownership, requiring travel across Europe and the US.

PhysicsX · New York, United States · US$150,000 – US$250,000 pa

Builds and deploys customer-facing applications that put physics AI models into production, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, RESTful APIs in Python (FastAPI), microservices, and cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus 3-4 weeks of travel per quarter to customer sites.

PhysicsX · Singapore

First technical responder for enterprise and internal platform users, owning issues from triage and first-pass investigation through resolution or escalation to Product, SRE, FDSE or Deployment Engineering. Debugs inside Kubernetes clusters using Linux, Helm, GitOps (Argo CD) and cloud fundamentals, with fixes delivered via reviewed pull requests. Also builds runbooks and shapes a newly forming support function across SaaS, VPC and air-gapped deployments.

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.

OpenAI · London

Frontline IT support role troubleshooting hardware, software and network issues for employees, managing vendor relationships and equipment inventory, and improving onboarding and device imaging workflows. Requires strong macOS expertise plus identity and device management tools like Azure AD, Jamf and Intune, working closely with Security, Facilities and People Ops in a fast-paced environment.

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

Builds and maintains a Python-based SaaS platform for project, data and annotation management used by internal machine learning engineers and data scientists. Works with data and platform engineers to handle growing data volumes, and collaborates with stakeholders to define requirements and validate features in an iterative, quality-driven environment.

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

Designs and builds automated test frameworks for embedded and connected hardware used in operating rooms, covering device software, firmware integrations and hardware-software interaction rather than web or mobile apps. Works with Android AOSP, Linux edge devices and IoT gateways, validating drivers, connectivity, OTA updates and service APIs, and embedding quality gates into CI/CD pipelines alongside hardware, firmware and systems engineers.

ElevenLabs · United Kingdom

Join the research team at an AI audio company, training state-of-the-art models across modalities and pushing existing models further through post-training, data curation and architectural improvements. You'll also design rigorous benchmarks and evaluations to determine whether new model iterations are genuinely better, working in lean autonomous teams with minimal bureaucracy.

Faculty · Remote (UK)

Owns end-to-end delivery of AI transformation programmes for UK Defence clients, from scoping and planning through implementation and user adoption. Acts as the link between customers and data scientists, translating mission challenges into AI solutions while managing senior stakeholders and growing commercial opportunities. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.

Quantexa · London

Builds and enhances scoring and detection tooling on Quantexa's Decision Intelligence platform, turning complex interconnected data into insights for financial crime detection. Works across the stack with agentic AI tooling, taking features from concept to release alongside product teams and senior engineers.

Amazon · London

Manage a London-based team of associates producing labelled speech and language data for Alexa and Amazon Echo ML systems. Day to day you assign work, monitor queue adherence, volume and quality, hire and train associates, build weekly schedules across competing workflows, and track quality and utilisation metrics. You liaise with program management and global operations leads on risk mitigation and drive process improvement using Kaizen, Six Sigma or lean methods.

Amazon · London

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS UK offices when not at customer sites.

Latent Labs · London

Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.

Latent Labs · London

Customer-facing engineering role deploying frontier generative biology models into pharma and biotech environments, owning the full lifecycle from technical scoping to production delivery. Involves building API integrations, data pipelines and model-serving infrastructure on AWS with Docker and Kubernetes, plus on-site work with international partners.