Mid-level Software Engineer role using Python, Git, GitHub/GitLab, TDD, unit/automated testing, Unix, and agile frameworks. You will work on Suade’s regtech SaaS platform that automates regulatory reporting, compliance, and financial risk solutions for Tier 1 banks.

Lead Platform Engineering for Volta's GPU infrastructure platform, working with KVM, QEMU, Ceph, SPDK, BGP, VXLAN, Kubernetes operators, Go, Python, and Rust. You will manage EMEA teams of 20+ people, own delivery against the roadmap, and act as deputy to the VP. The role covers architecture, reliability, and the boundary between platform software and hardware.

You will work daily with TypeScript, React, and Python across the full DeepEditor stack. The product is an AI-powered performance editing tool for Hollywood studios. As the technical anchor, you will mentor a growing team of fifteen engineers.

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 with Python, AWS, and Kubernetes supporting the Forward Deployed Engineering team at a pre-seed voice AI startup building infrastructure for emerging markets, processing thousands of daily calls with proprietary speech models.

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.

Build AI-enabled products using Python, TypeScript, Java or Go at a YC-backed AI start-up. Work directly alongside founders to ship customer-facing solutions and shape both product and engineering culture from day one.

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.

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.

Tecknuovo★0.0· London

You'll work with React, TypeScript, Node.js and/or Python, AWS or Azure, infrastructure-as-code, containerised workloads, CI/CD pipelines, and relational and NoSQL databases. You'll deliver end-to-end features across frontend, backend, and cloud for cloud-native digital services in government and enterprise environments, working in a high-performing Agile delivery team.

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.

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.

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.

Develops enterprise data platforms using Python, SQL, and Databricks, building ETL/ELT pipelines and working with data lakes and lakehouse architectures.

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.

AlphaSense★3.2 (20)· London

You will design, automate, and maintain security controls across AWS and GCP, working with Kubernetes, containers, and infrastructure as code, using Python for scripting. The cloud security team secures the AI-driven market intelligence platform used by enterprise customers.