Lead platform engineering for internal shared data and AI capabilities, including ingestion, integration, canonical APIs, and agent workflow platforms with orchestration, monitoring, evaluation, observability, and guardrails. The team builds scalable, reliable platform services for LexisNexis Intellectual Property Solutions, enabling data-driven innovation and production-grade AI workflows across multiple product domains.

Work with Microsoft Fabric (Lakehouses, Warehouses, Dataflows, Pipelines), Azure (SQL, Data Lake, Data Factory), SQL, Python, and REST API/SFTP to build ETL/ELT solutions. You will deliver modern data integration solutions for a diverse portfolio of clients within RSM’s Global VAT Team.

The role involves workflow automation, onboarding/offboarding, IT, AV, and AI tools. Omnea builds an AI-native procurement platform that automates approvals, supplier risk, and spend visibility for enterprises. You will support logistics, office administration, and internal operations as the company scales.

Lead a team of DataOps and MLOps engineers building and evolving the ML platform and data operations for FDJ United’s Sportsbook product. You’ll work with AWS, Terraform, CloudFormation, Spark, Kafka, and CI/CD pipelines to enable end-to-end machine learning workflows from research to production.

Lead an engineering team using Microsoft Power Platform, Power Apps, Dynamics 365, SharePoint, BizTalk, and Azure DevOps. Responsible for developing and delivering software applications, integrations, and services across the full product lifecycle for the British Red Cross.

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.

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.

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 Microsoft Azure data platforms: Azure Synapse, Azure SQL Server, Azure Data Factory, Azure DevOps, Microsoft Fabric, and OneLake; also uses DBT and Spark. You will modernize core data platforms—ingesting data from MS Dynamics CRM, Finance & Operations, and SAP SuccessFactors—to power analytics, AI-driven insights, and executive decision-making.

You'll work across the full stack with TypeScript, React, and Python, building a continuous AI-auditing platform for safe and responsible AI deployment in HR tech. As an early product engineering hire at a 5-person startup (growing to 10 by mid-2026), you’ll own product features end-to-end reporting to the CTO.

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.

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.

Work with C++, Python, ROS/ROS2, Linux/RTOS, and multi-core environments applying ISO 26262 and SOTIF. Execute hazard analyses, FMEA/FTA, and derive safety requirements for AeroVect’s autonomous ground-handling platform used by airlines. Collaborate cross-functionally to ensure safety integration and verification across supervised and unsupervised autonomy.

Cboe Global Markets★3.7 (14)· London

You'll work primarily with Python to design and build highly reliable trading systems, working closely with advanced SQL, Linux, and optionally PostgreSQL, Snowflake, Apache Kafka, Apache Airflow, Django, Flask, or FastAPI. You'll expand data pipeline and event streaming functionality for Europe's largest equities exchange and related platforms, while leading complex projects, mentoring developers across multiple global teams, and participating in production support for Cboe Europe's trading operations.

You will work with AI/ML, 6G, 3GPP SA1 use cases, Integrated Sensing and Communication (ISAC), Agentic AI, multi-agent systems, and AI communication protocols and semantics. The role is within GSMA's 6G Task Force, which shapes the industry's 6G and AI standards agenda in partnership with operators, vendors and universities.

Work with Elastic Stack, Python, Kubernetes, Terraform, Ansible, GCP/AWS/Azure, CI/CD, and Git. As part of the Cyber Security/Prevent team in Logging & Monitoring, you will automate and support security platforms to improve reliability and operational resilience across Vodafone Group.

You’ll work across full-stack engineering with AI tooling (Claude Code, agents, evals), cloud/IaC, distributed systems, APIs, data pipelines and vector stores on iGaming platforms (sportsbook, casino, gaming) for a major client. You’ll oversee a group of engineers and Tech Leads, line-managing leads and owning delivery.