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 scale agentic AI workflows using LLMs, fine-tuning, and production deployment. As the fourth hire at Bead AI, you’ll replace manual audit checklists with real-time autonomous agents for Fortune 500 enterprises.

You will work with Python and React, standardising backend practices across Engineering (90 engineers) and R&D (40 engineers/researchers) at Synthesia, the leading AI video platform for business. You will lead multi-quarter projects spanning the entire engineering organization.

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.

Build and deploy production-grade agentic systems and RAG pipelines using Python, TypeScript, FastAPI, and React. As a founding engineer, you will lead architectural development of an AI-driven agency model replacing manual workflows with autonomous agents to redefine the global property market.

As a founding AI engineer, you will work with LLMs, Python, PostgreSQL, and React/TypeScript to build production-ready algorithms and evaluation pipelines for patent generation. You will lead proprietary algorithm development for Solveintelligence’s AI platform, which transforms the intellectual property landscape for 400+ global enterprise customers like DLA Piper.

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 LLMs, chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI to build cognitive systems. The Science team designs memory and decision-making frameworks to create synthetic populations for behavioral prediction.

Design and evolve multi-agent systems and LLM pipelines on AWS Bedrock using LangGraph, Strands, Python, and frameworks like CrewAI. You will architect agent topologies, manage cloud infrastructure (ECS Fargate, Lambda, Step Functions), and build evaluation frameworks for AMPLIFYR’s AI-powered brand analytics platform.

You will work with Python, Node.js, PyTorch, OpenAI/Anthropic/open-source LLMs, SQL & NoSQL, Kubernetes, and Docker. You own the inference and orchestration layer for a proactive smart assistant that handles multi-step reasoning, tool calls, and long-running workflows, turning model capabilities into stable, production-grade APIs.

Build and ship AI features using Python, PyTorch/JAX, LLMs (OpenAI-style APIs, LLaMA, Qwen), vLLM, and vector DBs. You'll work on a proactive smart assistant that handles long-running workflows, persistent context, multi-step reasoning, and external tool interaction for everyday users.

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.

Python (FastAPI), TypeScript (Express), AWS (serverless), Terraform, Docker, PostgreSQL, DynamoDB, GitHub Actions, and React. The team builds the Orchestra control plane for data and AI, used by enterprises like Experian and Octopus Energy.

Design and deploy AI applications across the full stack using modern AI frameworks and LLMs. You will join a dedicated team at the heart of a leading global financial organisation’s AI function.

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.

Escalent★3.6 (38)· London

You’ll work with Python and frameworks like Django, Flask, or FastAPI, building RESTful APIs, microservices, and data pipelines while integrating AI/ML models and LLM APIs. Tech includes SQL/NoSQL databases, AWS/Azure, Docker, Kubernetes, and CI/CD. Escalent is a data analytics and advisory firm, and you’ll develop AI-powered applications and intelligent workflows in its cloud-native environment.

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'll work with Kubernetes, Terraform, Python, AWS or GCP, and CI/CD tools (GitHub Actions, GitLab CI, Argo CD), plus observability stacks (Datadog, Prometheus, Grafana). You'll bring SRE discipline to an AI platform hosting model serving, agent orchestration, and batch inference.

Build, run, and evolve the API gateway and routing layer connecting engineers and client workloads to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), including failover and routing strategies, using Python or Go. The team also designs orchestration and lifecycle management for AI capabilities and implements RBAC/OIDC access controls. This is a role within CreateFuture, an AI-native consulting partner building digital products for clients.