BlackRock★3.8 (632)· London

Develop software with .NET, .NET Core, ASP.NET Core, C#, Entity Framework, SQL, REST APIs, Postman/cURL, and Git. You will build a new product from the ground up to drive digital transformations in the private equity industry.

Superdrug★3.3 (3k)· London

Design polished, accessible, development-ready digital experiences for Superdrug’s website and mobile app using Figma (including components, variants, and design system patterns). Own product-design projects from problem definition through wireframing, prototyping, and high-fidelity UI, collaborating with developers, product teams, and analytics.

Legora★0.0· London

You will use Python, data analysis, surveys, interview protocols, and dashboards to study how lawyers and legal teams build proficiency with AI tools. The AI Transformation & Applied Research team turns this evidence into actionable recommendations for product, customer enablement, and go-to-market at Legora, an AI-native legal workspace.

Build and run an AI platform connecting workloads to LLM providers (Anthropic, AWS Bedrock, OpenAI) using Python/Go, API gateways (Kong, Envoy, Apigee), RBAC/OIDC, and MCP patterns. The team owns the gateway, orchestration, and governance layers. As Principal, you set technical direction across CreateFuture, an AI-native consulting partner.

Work with Python or Go, API gateways (Kong, Envoy, Apigee), and multiple LLM providers (Anthropic, AWS Bedrock, OpenAI). Build and run the infrastructure connecting engineers and client workloads to those providers, including the API gateway, orchestration, lifecycle tooling, and governance controls.

Build and run the API gateway, routing layer, and orchestration tooling connecting engineers to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI) using Python or Go, Kong, and RBAC/OIDC. You will own delivery of key platform components—from the inference control plane to the capability marketplace and governance controls.

UST★3.7 (1k)· London

You will design and build agent-based AI systems using Python, LangChain, LlamaIndex, and AWS, focusing on multi-agent orchestration, RAG pipelines, and LLM-powered application backends. At UST, a digital transformation solutions provider, you will deliver production-grade, agent-based AI solutions integrated into complex enterprise environments.

You'll work with Python, FastAPI, Postgres, Docker, SQL, LLM tool-calling/agentic loops, RAG, and observability tooling like MLflow, building evaluation frameworks and test harnesses for LLM-as-judge and monitoring. The role owns inference quality for Orbital, an agentic LLM platform answering operational questions for energy and heavy-industry clients.

Geomiq★0.0· London

You'll build AI agents and automations using n8n, GPT, Claude, Gemini, and other LLMs, plus APIs, webhooks, SQL, Python, and JavaScript. As the first dedicated AI builder at Geomiq, you'll create internal tools to automate workflows across Sales, Operations, Supply Chain, Finance, and Product for their digital manufacturing platform.

You'll use Python and platforms like Braintrust, LangSmith, Arize, or Weights & Biases to build eval and observability pipelines for AI features, including scoring, hallucination detection, and CI/CD quality gates. You join the AI Engineering team at an AI consulting firm that builds digital products for clients like PayPal and adidas.

Quantspark★0.0· London

Lead a small team of data and AI engineers using Python (Flask/Django), Pandas, and React.js on containerised, cloud-based systems (AWS/Azure). QuantSpark is a data and AI consultancy of around 50 people building working systems for clients across financial services, retail, manufacturing, and more.

Build and own the in-house automated testing platform at a leading global Hedge Fund, working across the full stack with React, JavaScript, and Python. Integrate with the toolchain for requirements management, source control, and transactions data, using GCP, Terraform, and CI/CD. Drive the platform toward agent-orchestrated, predictive testing, working autonomously within a small, efficient QA function.

RBC★3.9 (5.5k)· London

You will design, build, and maintain REST and GraphQL APIs and MCP servers using Python (FastAPI, Flask) serving ML models from Databricks for internal apps, CRM platforms, AI agents, and LLM applications. You will build middleware, prototype applications, and mentor junior colleagues in a team reporting to the Director, Data Science.

You will work with Azure, CI/CD pipelines, and test automation to build component-oriented front ends. As a Lead Engineer on the Digital Product Team at Canada Life UK (a financial services firm), you will set UI/UX, accessibility, and front-end performance standards and coach engineers across the product lifecycle.

You will build a fully bespoke blockchain from scratch using Rust, C++, CUDA, Python, Shell for the protocol layer; Solidity, Foundry, Hardhat for smart contracts; and TypeScript with React, Next.js, Node.js for frontends. This greenfield project powers Arena Entertainment’s digital entertainment platforms, spanning gaming, DeFi and Web3.

Boston Consulting Group★4.2 (537)· London

You will work hands-on with Python (FastAPI), LLMs (OpenAI, Gemini, Anthropic), cloud-native development on AWS, and CI/CD pipelines. As a player-coach in an AI/ML squad at Boston Consulting Group, you will build and deliver GenAI products leveraging RAG, agentic workflows, and MCP servers. You will lead and mentor a team of engineers, acting as both a contributor and architect.

Zaizi★4.0 (5)· London

Building mission-critical web apps, APIs, and microservices (TypeScript, React, Node.js, Python) plus native Android/Kotlin tactical systems with AIDL IPC and CoT routers for MoD programmes. Working on edge platforms (TAK) with CI/CD (Docker, GitLab CI) and NCSC Secure by Design standards. Mentoring mid-level engineers.

Lush Cosmetics★3.9 (3.4k)· London

Backend QA Engineer at Lush's Digital team, part of a global platform transformation. You'll test GraphQL/REST APIs, microservices, and databases (PostgreSQL, MySQL, MongoDB) using TypeScript/Python, Docker, CI/CD, Kafka/RabbitMQ, k6/JMeter, and security standards like OWASP. The cross-functional team ensures server-side reliability and scalability.

Google★4.3 (6.2k)· London

You will work with C++, Java, Kotlin, TypeScript, front-end frameworks, API development, machine learning, agentic coding, and GCP. This role is in Google Labs Science, which partners with DeepMind to transform GenAI research (e.g., Co-Scientist, AlphaEvolve) into products that accelerate scientific discovery.

National Gas★0.0 (10)· London

Work with ASP.NET, ASP.NET Core, .NET, SignalR, WebRTC, SQL Server, MariaDB, Entity Framework Core, Dapper, Azure, Docker, and CI/CD tools to maintain existing web platforms and build a new real-time operational system featuring mapping, GPS, and audio calling.

Capgemini★3.7 (11k)· London

Work with Java, J2EE, Spring, Spring Boot, Hibernate, SOAP, and REST. You will join Capgemini’s Cloud & Custom Applications (C&CA) practice to design and deliver high-quality, scalable application solutions for clients.

Backend Developer role using Java/Spring Boot, REST/GraphQL APIs, PostgreSQL, MongoDB, Kafka, AWS/Azure, Docker/Kubernetes, and CI/CD tools, plus Agentic AI frameworks like LangChain and LLM APIs. The company is a digital consultancy delivering technology solutions for UK government departments, working in Agile/Scrum teams. The role involves building scalable services and integrating AI agents into backend systems.

Lineten★2.6 (5)· London

Build cloud-native services using C#, .NET, Azure, and Microsoft Fabric with a Medallion architecture, while integrating AI/LLMs and automating infrastructure. You’ll own end-to-end development, data pipelines, and site reliability for a small startup team building internal and external data self-service solutions.

You'll apply SRE discipline to AI platforms, building and operating Kubernetes infrastructure with Terraform, managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Argo CD), using Python, and working with observability stacks like Datadog and Prometheus. You'll define SLOs, handle on-call and incidents, and partner with teams like the Inference Control Plane and Evals/Observability. The role is with CreateFuture, an AI-native consulting partner serving clients such as PayPal and adidas.