Artificial Intelligence Jobs

Wayve · London

Builds and evolves the data pipeline and orchestration platform behind Wayve's autonomous driving data, revamping the existing Harness system and creating a new DAG-based workflow platform. Works with Python, Airflow/Dagster/Flyte, Ray or Spark and Kubernetes to run hundreds of parallel pipeline steps, batch inference and evaluations reliably at scale.

Wayve · London

Set the technical direction for a petabyte-scale storage platform underpinning autonomous driving data, leading a multi-quarter programme from architecture to adoption. Build production services and controllers in Python or Go with Kubernetes and Terraform, optimising read performance, caching and cost while partnering with ML, data, security and privacy teams.

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

Develops high-performance, low-latency video and AI processing pipelines for use in the operating room, leveraging hardware acceleration for capture, inference, visualisation and streaming. Works in a multidisciplinary team on robust, safe-by-design medical device software, with a strong C++17-23, multi-threading and real-time video focus.

Entrust · Paris, France

Owns planning, coordination and execution of testing across a cross-functional identity verification product team, covering web, mobile, backend services and ML-powered products. Builds maintainable automated test frameworks and suites, mentors colleagues, and contributes to org-wide quality and tooling initiatives. Combines automation with exploratory testing in a team of nine embedded test engineers.

Entrust · London

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 test frameworks, combines automation with exploratory testing, and mentors colleagues while improving CI/CD pipelines and release feedback loops.

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.

Jam Management Consultancy ltd · Reading · £35,000 – £38,000 pa

Graduate role investigating and resolving technical issues across enterprise software platforms, analysing system performance and supporting troubleshooting on cloud-based applications. Works alongside experienced engineers on analysis, testing and continuous improvement, with exposure to AI, ML, NLP, SaaS, IoT and languages including Python, C#, .NET, Java, JavaScript, TypeScript, React, C++ and SQL.

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

Builds and deploys customer-facing applications on top of physics AI models, working directly with clients, data scientists and ML engineers. Involves full-stack work: FastAPI REST APIs and Python microservices, plus cloud deployment with Helm, Kubernetes, Terraform and AWS/Azure. Expect on-site travel to customer sites for 3-4 weeks per quarter.

University of Essex · Ipswich · £40,000 – £45,000 pa

A KTP Associate role embedded at Distag QCS in Ipswich, working with a large, messy ERP dataset never designed for machine learning. The post holder shapes the data, builds reliable models, and leads the introduction of data-driven decision making in a business with no existing in-house data science capability. It blends hands-on Python development with change management, communication and academic paper contributions.

Palo Alto Networks · London

Design and build software solving Workload Identity challenges across client and server, from prototyping to production. The role spans networking, security, authorization, SDKs, cloud and Kubernetes, with scope to lead and mentor a close-knit team and shape product direction with stakeholders.

Faculty · London

Build and scale AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

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.

eFinancialCareers · London · £150,000 – £180,000 pa

Lead the AI labs for a finance firm's UK office, building Agentic AI solutions from inception to production for investment, sales and marketing departments. Work with AWS, Strands Agents, LangChain and LangGraph on roughly three-month delivery cycles, then hand solutions to departmental tech teams. Also showcase solutions to clients and potentially form partnerships, alongside a manager and two seniors.

eFinancialCareers · London · £110,000 – £140,000 pa

You will join a small AI labs team as one of two senior engineers, building Agentic AI solutions for internal investment, sales and marketing departments, taking projects from inception to production in roughly three-month cycles. Work centres on Python, AWS, LangChain and LangGraph, with client demos and potential partnerships, before handing solutions to departmental tech teams.

Salt Search · London · £70,000 – £100,000 pa

Build and scale a cloud-native AI platform for real-time video security, working across Go and Python backend services and React/TypeScript frontends. You'll design APIs and distributed systems handling real-time video and sensor data, collaborating closely with product and ML engineers and owning features from design to production.