Full-stack Java development on Linux/Unix, using AI coding tools like Claude Code, Windsurf, Devin, or GitHub Copilot. The role is for Ascendion, a technology services company.

You will build and evolve customer-facing interfaces for AI Virtual Agents using React, TypeScript, Next.js and Vite, and refactor the frontend into a scalable platform with a shared component library and design system. Unitary’s factory builds custom operations agents that complete complex workflows end-to-end in customer tools.

You will work with Python, AI coding agents (e.g., Claude Code, Codex), and potentially AWS, Kubernetes, and Temporal. Unitary builds Virtual Agents — AI-powered software workers that automate complex workflows end-to-end in customer tools, focusing on commercial insurance, marketplaces, and primary healthcare.

Zoopla★3.9 (18)· London

A 12-month maternity cover role on a dual-stack C#, .NET, and TypeScript backend with React microfrontends, using AWS managed services (ECS/Fargate, Lambda, SQS, DynamoDB, DocumentDB) and Terraform/SST. You'll build B2B SaaS software for estate agents and home builders at Alto Software Group. Take end-to-end ownership of features from design to production, working with the product team and AI coding agents.

DeepL★3.8 (4)· London

You'll work with C# / .NET, RESTful APIs, distributed architectures, and optionally React/TypeScript, plus MCP, CLIs, OAuth, and AI coding tools. You join the API Enterprise team, which builds enterprise adoption features (usage insights, cost controls, RBAC, compliance, data residency) for DeepL's Language AI API platform.

Native Kotlin and Jetpack Compose development on a consumer-facing Android app for in-store grocery trips, running on a known device inside live stores. Integrates on-device edge AI (ML Kit, TensorFlow Lite) and uses AI coding tools like Cursor or Claude Code. Reports to the Head of Android.

FDJ UNITED★4.0 (96)· London

You'll lead a DataOps/MLOps team building an ML platform and data operations capability for FDJ United's Sportsbook, working with AWS, Terraform/CloudFormation, Spark, Kafka, and CI/CD pipelines for end-to-end ML lifecycle management. The role involves establishing best practices, monitoring, and governance while collaborating with Data Engineering, ML Engineering, Quants, and Data Science teams to personalize customer experiences and manage risk.

Senior Software Engineer building a multimodal AI data fusion platform for Defence and Security using Python, distributed systems, container orchestration, and agent frameworks across cloud, edge, on-premise, and air-gapped environments. You'll design core platform components, develop AI orchestration systems, define deployment architectures, and influence technical direction across the organization. Requires 7+ years shipping production software, systems design expertise, and experience architecting multimodal data systems.

Microsoft★4.2 (9k)· London

Manage a team of Security Solution Engineers advising customers on Microsoft Security solutions including Defender XDR, Microsoft Sentinel, Microsoft Entra, and Microsoft Purview. The team supports customers in evaluating applications, recommending tailored solutions, and demonstrating technologies to win technical decisions.

GSMA★3.7 (45)· London

You will work with AI/ML, 6G, 3GPP SA1 standards, Integrated Sensing and Communication (ISAC), Agentic AI, multi-agent systems, and AI communication protocols. The 6G Task Force shapes the industry’s 6G and AI agenda by producing technical analyses and white papers that inform global standards.

A Senior AI Engineer at Stakemate will use agent frameworks (LangGraph, LlamaIndex, Semantic Kernel, ADK), RAG, Python, cloud services (Azure/GCP/AWS), and SQL to move AI from experiments to production. They will shape the platform and architecture for a live betting product at a fast-growing social sports betting startup.

You will work with agent frameworks (LangGraph, LlamaIndex, Semantic Kernel, ADK), RAG pipelines, vector stores, Python, SQL, and a major cloud (Azure AI Foundry, GCP, or AWS). You will take AI agents from proof-of-concept to production within Stakemate’s live sports betting product, setting the governance and standards for the company’s AI estate. Reporting to the CTO, you will shape the platform and architecture as the company scales.

Work with Java, GitHub Copilot, Devin.AI, Citi Squad, Stylus Workspaces (Gemini, OpenAI, Claude, Llama), Docker, Kubernetes, and CI/CD. Build high-performance, real-time FX risk management systems for a greenfield platform with a 10+ year strategic commitment. As a VP, lead end-to-end delivery and technical direction.

You will work with AWS, Kubernetes, Terraform, Python, Java or Scala, and AI-driven development tools (Claude, LLMs). You will build and maintain the distributed-compute and data-science platform that powers Macquarie's trading and analytics workflows, collaborating with quantitative analysts and trading desks.

Use Python, Azure, Docker, Kubernetes, Apache Airflow, and GitHub Actions to build scalable ETL pipelines, financial data pipelines, and cloud-native infrastructure. This front-office role is at a systematic equity hedge fund modernising its quantitative research platform, working directly with portfolio managers and researchers. Experience with S&P Xpressfeed, Snowflake, Bloomberg, MSCI Barra, Databricks, and LLMs is advantageous.

You will configure and maintain Workday, Greenhouse, CultureAmp, Kyriba, FloQast, and Workato, using Claude Code and agentic AI tooling. As an associate cross-platform engineer on the Finance & People Technology team, you support the SaaS estate underpinning finance and HR at a global alternative investment management firm.

Rebuild data infrastructure for a market-neutral systematic equities fund using Python, Microsoft Azure, Docker, Azure Kubernetes, Apache Airflow, and GitHub Actions for CI/CD. Work on ETL pipelines, vendor integration, and cloud-based research platforms, with relevant experience in Snowflake, Bloomberg, MSCI Barra, or Databricks. The role spans data engineering and quantitative development to transform financial data into investment signals.

You will work with TypeScript, React, Next.js, and Python across the full stack. The company builds a platform for continuous auditing of AI models to ensure transparency and fairness in HR and HR tech.

You will use Python daily, with Ruby useful but not required, and AI tools like Claude in your workflow. The team focuses on greenfield projects in a start-up or small business environment.

Allianz★3.8 (3.4k)· London

Use catastrophe modelling platforms, Power BI, Excel, VBA, and SQL for portfolio steering and CAT analytics. The Marine team performs strategic portfolio monitoring, natural catastrophe and terrorism modelling, accumulation management, and reinsurance-related analytics to support underwriting.

Demonstrate and customize AbsorbLMS in technical demos, and build trial portals and integration use cases for prospects. You will collaborate with Sales and Account Executives to support Enterprise-level clients in a presales capacity, using Salesforce, SharePoint, Confluence and Zoom.

Capital on Tap★3.9 (55)· London

First and foremost a software engineering role, you will work with C#, .NET, agentic systems and orchestration layers, and AI enablement tooling. You will build "AI on Tap", the company's internal hub for AI agents, and integrate agentic testing/verification across the pipeline to accelerate delivery for this financial platform.

Vodafone★3.6 (3.2k)· London

Work with Elastic Stack, Python, Kubernetes, Terraform, Ansible, CI/CD, Git, and Linux on the Cyber Security/Prevent team, supporting security platforms and delivering hands-on automation engineering to improve reliability and resilience across Vodafone Group and local markets.

You'll work across the full stack—backend distributed systems, cloud with IaC, and data pipelines including vector stores—using tools like Claude Code and AI agents for code review, refactoring, and parallel work. This Principal Engineer role on a large iGaming engagement oversees sportsbook, casino, and gaming platforms for a major client, managing a group of engineers and Tech Leads as the named delivery owner. The team includes engineers and Tech Leads that you directly line manage.

Luxoft★4.5 (669)· London

Lead Python engineer designs, builds, and maintains risk engineering systems for a global commodity trading company, working on commodities risk and market data pipelines. Uses Python, AWS/GCP/Azure, CI/CD, containerization, and AI-assisted tooling. Collaborates with quants, traders, and risk managers in a high-velocity delivery environment.