You will use Python, JavaScript, Microsoft 365, Power Platform (Power Apps, Power Automate), and APIs to design, build, and enhance internal applications, automations, and AI-powered solutions. This role supports a technology-led company investing in AI and automation by developing internal tools that improve business efficiency and productivity.

You'll work with Azure-hosted solutions, automated CI/CD pipelines, and test automation, building accessible, component-oriented front ends meeting WCAG 2.2 AA standards. You'll help lead Canada Life's Digital Product Team, modernizing its IT estate by delivering customer-centric digital products across the full lifecycle. You'll be one of several Lead Engineers, but team size isn't stated.

Work with Kotlin, SQL/noSQL, TensorFlow Lite, Coroutines, Flow, and REST/gRPC to build a production Android app for an AI-powered proactive smart assistant that handles multi-step workflows and real-world task completion.

Build and maintain iOS applications using Swift and SwiftUI, integrating AI features backend APIs and on-device inference with TensorFlow Lite. The team is building an AI-native proactive smart assistant that handles long-running workflows, multi-step reasoning, and real-world task completion for everyday users.

You will work hands-on with React Native, Kotlin, MongoDB, Jira, Git, CI/CD, and RESTful APIs, acting as scrum master for Reset Health’s Live Platforms team. The team delivers production releases every two weeks, handling customer customisations, enhancements, bug fixes, security patches, and 2nd-line technical support.

Deloitte★3.9 (14k)· London

You will work with Python, NumPy, Pandas, scikit-learn, LangChain, Hugging Face, LlamaIndex, Azure Machine Learning, Foundry, Git, and Agile practices. The team is Deloitte’s Tax Digital Innovation AI & Data Studio, which researches, builds, and delivers analytics and AI-driven solutions for tax and legal clients.

Work with Python, SQL, JavaScript/TypeScript, NumPy, Pandas/Polars, visualization libraries, and deep learning frameworks (PyTorch, JAX, or TensorFlow) to design and deploy full-stack data-driven applications and machine learning solutions. You will be embedded with Arsenal's Men’s First Team Analysis department, building tools that directly support coaching and analysis workflows.

You will work with Azure, CI/CD pipelines, test automation, and modern front-end frameworks/libraries, applying WCAG 2.2 AA and Core Web Vitals. As a Lead Engineer on Canada Life UK’s Digital technical leadership team, you will specialise in UI/UX, accessibility, and front-end performance for customer-facing digital products serving retirement, investment, and protection needs.

VueJS 3, JavaScript (ES6), HTML5, CSS3 (SASS), RESTful APIs, GIT, Azure DevOps (CI/CD), Jest, Cypress/Playwright. Build and maintain modern web applications, developing reusable UI components and ensuring responsive, accessible, performant frontends.

You will work with Python as a full-stack developer. The company develops advanced artificial intelligence and machine learning solutions for defence, security and other demanding real-world environments, specialising in computer vision.

Full Stack Developer role using C#, .NET, JavaScript, and Umbraco for an established luxury travel company. The work involves a major transformation programme building web-based tools to automate operational tasks, improve pricing accuracy and management information, plus website enhancements.

You'll work with JavaScript, Java, .Net, or Python; version control (e.g., Git, Mercurial); CI/CD tools (e.g., Jenkins, TeamCity); and automated testing frameworks. The team collaboratively designs and builds proof-of-concept or production systems.

You'll work with AWS, MySQL, Angular, Bootstrap, Kotlin, Spring Boot, microservices, IBM watsonx AI, and third-party integrations (Intercom, GetAccept, Calendly). The role covers MyIntent, Bequeathed's platform for online will-writing and expanding later-life services like LPAs and estate administration, delivered as SaaS via B2B2C partners. It's a senior individual-contributor role with technical leadership, not large-team management.

You will work with React, modern JavaScript/TypeScript, and APIs. As part of a fintech engineering team, you'll build data-intensive platforms that support business-critical workflows, taking ownership of features from design to deployment.

You will use Python, Java, or C++ with machine learning frameworks like TensorFlow and PyTorch to build scalable AI models. You will enhance AI capabilities for a financial institution serving the finance and insurance sector.

You’ll work with Python, Docker, CI/CD, AWS or Azure, SQL, Linux, Bash, Git/GitHub, and optionally Streamlit, Rust/C/C++ or React. You’ll join the Internal Tools team at an AI scale‑up building the systems that deploy, operate and scale its flagship AI product for data‑centre energy efficiency.

You will work with Git, backend systems, distributed systems, APIs, SDKs, and developer platforms. As a maintainer and product engineer for the OpenClaw Foundation—steward of the world’s largest open source AI agent project—you will design, build, and evolve the OpenClaw platform while supporting the broader contributor community.

Working with Python, Java, Selenium, Appium, Espresso, Jenkins, GitHub Actions, Azure DevOps, Android AOSP, Linux, and REST/IPC APIs, you will design automated test frameworks for embedded and connected hardware. This role supports Medtronic’s Touch Surgery video platform and DS1 Computer, which use AI and augmented reality to improve surgical safety in the operating room.

Appvia★0.0· London

You’ll work with Java, Spring Boot, TypeScript, MongoDB, Docker, Kubernetes, Maven, and GitLab. You’ll join a client-facing software engineering practice delivering a modernisation and AI-enabled transformation programme as a greenfield build within a brownfield ecosystem.

Work with PyTorch, TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL to train, optimise and deploy deep learning models for autonomous driving. You will own end-to-end delivery of model releases, applying techniques like quantisation and distillation to meet tight on-vehicle runtime constraints.

You'll work with AWS, GCP, SIEM, EDR, DLP, MDM, Python, Go, and TypeScript. Risk Ledger builds a network for supply-chain organisations to share security maturity and visualise risks. You'll mature security operations, detection, incident response, and cloud security across cloud, endpoint, and SaaS environments.

Optimize ML inference for edge accelerators and GPUs using TensorRT, CUDA, Qualcomm QNN, Triton, MLIR, and ONNX. The team deploys large transformer-based models on low-cost, low-power edge devices for Wayve's first driving product. You'll work across compilers, runtimes, and kernels with Python and C++.

You will build and maintain data-focused, high-performance front-end products using JavaScript/TypeScript, with server-side languages (C#, Java, NodeJS, SQL) and frameworks like React/Redux as nice-to-haves. The Trade Desk is a global digital advertising platform, and you'll own full-lifecycle development of features for user-facing interfaces. With 7+ years of experience, you'll work on an agile, distributed team spanning multiple time zones and continents.

You'll work with React (Vite), Tailwind, Node.js, Express, tRPC, PostgreSQL, and Elasticsearch, building scalable APIs and front-end features. The company is a high-growth B2B SaaS firm creating an advanced property data platform for UK property professionals, integrating thousands of data sources. This hands-on leadership role also involves mentoring engineers and shaping architecture.

Use Python, scikit-learn, TensorFlow, PyTorch, and geospatial tools like QGIS and ArcGIS. As a Machine Learning Engineer at a technology consultancy, you will design, build, and deploy ML models