Infosys★3.8 (17k)· London

Lead Consultant role at Infosys: build Oracle Fusion HCM Cloud solutions for UK public sector clients using HDL, HCM Extracts, BI Publisher, Fast Formulas, Payroll Batch Loader, OIC, and Redwood. This technical architect handles HR modules (Core HR, recruiting, learning, talent, UK payroll, pension, OTL, absence), integrations, data migration, and SDLC delivery. Preferred experience managing a team of 10+.

All Your BI★5.0 (5)· London

You'll build and own Azure data platforms using SQL Server, Databricks, and Kimball dimensional modelling, designing end-to-end pipelines and data models. You'll join the Delivery team at All Your BI, a remote-first data agency delivering managed BI services for logistics and industrial clients. The company has 60+ data heroes across Europe.

Microsoft★4.2 (9k)· London

Work with Azure SQL, Azure Database for PostgreSQL, Azure Cosmos DB, Microsoft Fabric (Lakehouse, Data Factory, Spark, Power BI, Real-Time Intelligence), and Copilot to help organisations modernise their data estates and ground AI on their data. As a Solution Engineer, you lead strategic customer engagements, design architectures, and mentor peers within Microsoft’s Data & AI team.

Salesforce★4.2 (1.5k)· London

Works with Salesforce Agentforce, Data360, MCP, A2A

The AA★3.1 (797)· London

The role involves designing AI solution architectures using Large Language Models, Retrieval Augmented Generation, AI agents, orchestration frameworks, and cloud-native architectures within Azure, AWS, or a comparable environment. The team within the Chief Operating Office builds enterprise AI to power products, services, and internal capabilities for the AA’s motoring organisation.

Capgemini★3.7 (11k)· London

Works with Neo4j, Amazon Neptune, Azure AI Search, Elasticsearch, Pinecone, Python, Azure, AWS, Kubernetes, Docker, and CI/CD. Designs and implements an enterprise knowledge platform using knowledge graphs, RAG, and GraphRAG to enable AI agents across Insurance, Payments, and Healthcare domains. Leads platform strategy and cross-functional engineering teams.

Work with SQL, Python, AI tools (LLMs, AI agents), and data visualization tools (Tableau, Power BI, D3.js) on AWS, Snowflake, Postgres, and MySQL. Analyze private markets and alternative investment data, extracting insights from unstructured text (PDFs) and collaborating with Product and Machine Learning teams.

Quantiphi★3.3 (60)· London

You will work with AWS SageMaker, EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline), MLflow, Kubeflow, Airflow, BentoML, KServe, Seldon, and Kubernetes. As an MLOps/AIOps Architect, you will architect end-to-end MLOps strategy and enterprise ML/LLM pipelines for Quantiphi, an AI-First digital engineering company serving Fortune 1000 organizations.

You will work with SQL, Python, AWS or Azure, Snowflake

Competition & Markets Authority★3.7 (15)· London

Data scientists join a ~20-person Data Science & Data Engineering team building tools on AWS, using Python, Git/GitHub, generative AI, agentic AI frameworks and web apps. The CMA regulates digital markets and protects consumers by analysing large-scale data and algorithms to ensure fair competition.

Work with Cypress, Playwright, Selenium, Appium, Postman, Jira, and Git to build and maintain automated test suites integrated into a CI/CD pipeline. As part of Reset Health's QA team, you will design manual and automated tests for web and native mobile apps while helping transition to greater automation and AI under an ISO13485 QMS.

NatWest Group★3.7 (1.2k)· London

You'll work with Cisco and Arista platforms, VxLAN, EVPN, Cisco Meraki, and multicast protocols to engineer and automate enterprise network infrastructure. This role supports NatWest Group's digital transformation, building secure, scalable network solutions for its financial services environment.

Work with Python, TensorFlow, PyTorch, scikit-learn, FastAPI/Flask, Docker, Kubernetes, open-source LLMs, vector databases, and AWS/Azure/GCP. Design, build, and deploy ML models, develop Generative AI and RAG pipelines, and fine-tune LLMs for a health-focused AI team.

Fintricity★1.0 (1)· London

You will work with Python, TypeScript, LLMs, agent frameworks, RAG systems, vector databases, LangGraph, LangChain, and cloud services. The role builds enterprise-grade AI infrastructure for agentic systems, including AI gateways, model orchestration, and agent control planes at Fintricity and Kendra Labs.

All Your BI★5.0 (5)· London

Work with T-SQL, Azure (Data Factory, Data Lake Storage Gen2, Azure SQL), Power BI, and Git to build end-to-end pipelines and Data Vault warehouses. As part of All Your BI’s Delivery team, you own data quality, profiling, and semantic models for managed BI services to logistics and industrial clients.

Macquarie Group★3.8 (315)· London

Work with Python, FastAPI/Django, React, and AI-assisted tools like Claude Code and Copilot. You will lead platform evolution and architecture for the Real Assets and Real Estate technology team, building applications, data products, and AI-enabled capabilities that support the end-to-end asset lifecycle. As a senior technical leader, you guide engineering standards and mentor engineers.

You will work with Cypher, Neo4j, Terraform, REST APIs, Kafka/Confluent, Python, JavaScript, React, Go, OAuth 2.0, AuthZEN, and AI tools like Gemini and Claude. IndyKite builds a data trust and AI enablement platform using a live context graph to secure agentic AI workloads with identity-centric authorization. You will act as a technical evangelist, delivering demos, proofs of concept, and architectural guidance across enterprise sales cycles.

Persistent Systems★3.9 (626)· London

Work with Java, iOS, Swift, mobile architecture patterns, Test-Driven Development, and automated mobile testing tools to design and build the user interface and user experience for iOS financial applications. The role also involves cross-functional collaboration, code reviews, and ensuring scalable, maintainable, and optimized code.

Luxoft★4.5 (669)· London

You'll build an investment-insights solution using Agentic AI, working with Python, FastAPI, AWS, Git/CI/CD, vector databases, RAG patterns, and LLMs like OpenAI/Anthropic. The project generates investment insights from sales and research materials to speed client-meeting preparation. Nice-to-have skills include React/TypeScript and AgentCore, but team size is unstated.

NatWest Group★3.7 (1.2k)· London

You will work with React, Java, Spring Boot, REST APIs, Kafka, IBM MQ, iOS, and Android, applying test-driven development and Agile practices. As a member of a permanent feature team, you will design, develop, and test software for the bank’s platform, collaborating with engineers and architects.

Design, build, and optimize ServiceNow solutions using Script Includes, Business Rules, Client Scripts, Flow Designer, IntegrationHub, REST/SOAP APIs, MID Server, and App Engine. Develop across ITSM, CMDB, and Service Portal for enterprise environments. Mentor junior developers and enforce platform standards.

Design software using Java, C#, Python, JavaScript, TypeScript, or Go, with REST APIs, microservices, SQL databases (PostgreSQL, SQL Server, MySQL, Oracle, MongoDB), and cloud platforms (AWS, Azure, GCP). You will build enterprise applications and business-critical services across the full development lifecycle.