You will work with Python, Azure, Microsoft Copilot, Claude and intelligent automation tools. The role is at a professional services firm modernising its departments through AI and digital transformation.

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.

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.

Build and run the API gateway and routing layer connecting workloads to Anthropic, AWS Bedrock, and OpenAI using Python or Go, Kong or Envoy, and RBAC/OIDC. The team creates the infrastructure and orchestration tooling that turns AI integrations into a reusable "capability marketplace" with governance controls. Senior engineers own delivery of key platform components from the gateway through orchestration.

You will work with Python or Go, API gateways (Kong, Envoy, or Apigee), multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), RBAC/OIDC, and MCP or service-registry patterns. As part of the AI Platform Engineering team, you will build and run the infrastructure—API gateway, orchestration tooling, and governance controls—that connects engineers and client workloads to LLM providers. In this Principal role, you set technical direction for the platform and act as a trusted extension of CreateFuture’s leadership.

You will build evaluation, experimentation, and observability pipelines using Python and platforms like Braintrust, LangSmith, Arize, and Weights & Biases, plus design LLM-as-judge and human-in-the-loop scoring. The role focuses on AI-native consulting for clients like PayPal and adidas, including production monitoring, quality signal detection, and cost attribution. You'll also wire evaluation gates into CI/CD pipelines for the AI Engineering team.

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.

Worldpay★3.0 (53)· London

You'll design secure checkout APIs (UCP, ACP, AP2, Agentic Tokens, MPP) and SDKs, integrating AI agents and LLMs across Global Payments platforms. This greenfield team builds autonomous commerce infrastructure, defining how AI agents transact securely on behalf of consumers.

Lead Software Engineers use TypeScript, Java, Golang, Rust, Python; deploy on Kubernetes and Google Cloud; and work with BigQuery, REST, and observability tools. They build and scale supplier integration, search/recommendation, real-time pricing, ML marketing, booking/payment/fulfillment, and AI-powered systems for the company’s packaged-holiday platform.

Senior C++ Software Engineer role working with modern C++ (C++11/20), Linux, and SQL/relational databases plus Python. You will build and operate real-time trading systems for one of Europe’s largest pan-European equities markets, covering order handlers, matching engines, and market data. The small team practices end-to-end feature ownership with mentoring responsibilities.

Thomson Reuters★3.9 (4.3k)· London

Work with Java and Python across containerized services, relational databases, and distributed systems, including AI/LLM integration patterns. As a Principal Engineer on Thomson Reuters' HighQ, an enterprise collaboration platform for law firms, you will set technical direction, architect scalable systems, and lead the integration of AI and agent platforms.

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++.

PA Consulting★3.7 (106)· London

You will build and lead a Forward Deployed Engineering unit, working with Domain-Adapted Language Models, Small Language Models, LLM fine-tuning, RAG, agentic workflows, evaluation frameworks, and MLOps. The team deploys production AI systems for strategic clients, growing from a founding cohort of 8-12 to a 100-plus person team.

Work with Python, Jenkins/Groovy, pytest, GTest, and CI/CD pipelines to build automation, tooling, and test frameworks for SDK teams across Linux and Windows environments. You'll develop quality engineering practices—automated tests, diagnostics, reporting, and developer feedback loops—to improve the reliability and delivery of SDK solutions. The role spans SDK teams in London, Bristol, and Dublin.

Build REST and GraphQL APIs and MCP servers in Python (FastAPI, Flask) to expose ML models from Databricks to internal apps, CRM platforms, and AI agents at RBC. Work within the Data Science team to architect the serving layer, handling contract design, authentication, and documentation.

You’ll build and ship user-facing apps primarily on Databricks Apps, using React, Vue, or Angular, and integrate with REST/GraphQL APIs served by the Data Science team. You are the technical lead on a team migrating from Power BI to custom applications, owning the full lifecycle while mentoring engineers on DevOps practices like Git and CI/CD.

You will work with REST APIs, FIX protocol, JSON, SQL, command-line tools, and Python scripting to lead technical implementations and connectivity integrations for institutional clients. The role manages end-to-end onboarding of exchanges, liquidity providers, and clients onto Talos’ institutional-grade digital asset trading platform, handling platform configuration and troubleshooting. This is an implementation-focused role, not production support, requiring 3+ years of capital markets or fintech experience.

You'll work with JavaScript, Node.js, Express, React, and MongoDB/Mongoose to set technical direction and oversee AI-assisted content-creation features. As Fractional Head of Product at StoryTerrace, you'll own the roadmap for two B2C platforms—an established product and a new self-serve app—directing one Full Stack Developer and advising on hiring. This role reports to the CEO and requires hands-on coding experience to unblock development.

LexisNexis Legal & Professional★3.6 (1k)· London

You will drive AI ideation and integrate LLMs, NLP, and machine learning into Practical Guidance editorial workflows. This global role partners with commercial, product, and engineering teams to deploy scalable content-optimization solutions across North America, UK, and Asia-Pacific.

JELLYFISH★3.5 (32)· London

The role focuses on building and extending an agentic delivery stack using tool APIs, MCP servers, AI harnesses, agentic operating systems, and Python. You will drive agentic delivery and adoption both inside Jellyfish, a global digital marketing agency, and with its enterprise clients. This is a 4-month fixed-term contract.

No specific technologies, languages, or tools listed. Moth builds tools for Entertainment, Media, and Creative industries, democratizing quantum computing for creators. The team is described as a small, dynamic, hands-on operations team.

PlayStation★3.8 (164)· London

This role involves working with TensorFlow or PyTorch, Python, and libraries for computer vision and graphics. As part of the Visual Computing Group (VCG), you will develop generative models to advance game rendering and live video streaming through neural networks and machine learning R&D.