You will lead Cloud Engineering or Infrastructure Engineering teams, working with Azure (including Landing Zones, networking, identity, and security), Google Cloud Platform, Terraform, Bicep, and Infrastructure as Code. The team focuses on cloud engineering and infrastructure.

You will work with cloud platforms (AWS or Azure), automation tools, and CI/CD pipelines for a disruptive digital security company’s UK-first PKI project.

The role involves DevOps pipeline orchestration with Jenkins, Bamboo, and Azure DevOps, along with experience in orchestrators, artifact repositories, and source code management. General software architecture knowledge, including design patterns, is also required.

Build and improve CI/CD pipelines using Azure, AKS/Kubernetes, Terraform, and monitoring tools. Work across multiple engineering teams at WeDoTech, a technology company, to automate infrastructure and deployment processes.

You'll work with Azure DevOps, Azure Kubernetes Service (AKS), CI/CD automation via GitHub and Terraform, and Linux administration. This role is on a development platform team within an established technology organisation.

You will work with data preprocessing techniques, data pipelines, and cloud platforms (AWS, GCP, Azure) along with MLOps practices. This graduate role is for Tech Recruitment UK Ltd, a recruitment firm that places candidates in AI/ML positions. No specific team or product details are listed.

Senior Machine Learning Engineer working with C++, CUDA, Python, and PyTorch. The role is within an AI technology company developing next-generation machine learning solutions for complex real-world applications.

Contract role supporting a large-scale data platform migration from Azure SQL to Databricks. You will design, build, and optimise data solutions using Databricks, working within an established data team on the migration of existing workloads.

You will work with Azure, Databricks, and SQL. This role is with a global mining organisation evolving its enterprise data platform as part of a wider transformation programme, supporting high-profile data initiatives.

Work with Azure data platform technologies on a major data transformation programme for an NHS organisation.

Harvey Nash★3.8 (49)· London

You will build enterprise-scale applications using Java, Spring Boot, microservices, and front-end technologies (likely React or Angular), with exposure to AI tools and modern DevOps practices. You will join a high-performing engineering team at Harvey Nash, developing large-scale software solutions in a hybrid London-based setting.

Senior Java Full Stack Developer building large-scale enterprise applications for a global financial services firm. You will work with Java and embrace AI-powered development on modern software engineering projects.

You'll work with React, TypeScript, Node.js, C# .NET, Azure, and modern CI/CD pipelines to lead full-stack development across multiple value streams. The Gym Group builds and evolves its digital platforms. You will mentor an engineering team, though no team size is stated.

A Java Full Stack Developer role building enterprise software and embracing AI-powered development. You will work on large-scale enterprise applications within a global financial services organisation, using Java as the core technology.

Senior full-stack role designing and scaling cloud-native applications for a global investment bank’s risk management space. Technologies include Java, Kotlin, React, and AWS. Work involves end-to-end development alongside cross-functional engineering teams.

Harvey Nash★3.8 (49)· London

Lead backend development of enterprise-grade Java solutions for an Investment Bank. Core technologies include Java and server-side development; the role drives architectural decisions for scalable systems and guides development teams on technical strategy and best practices.

You will work with Python, Machine Learning, Go, and Terraform on a large strategic consulting engagement. The current team of 4 software developers is expanding with 2 new hires.

You will engineer robust, low-latency, high-throughput systems using C++ and Python to directly drive trading performance. This role focuses on clean code, optimization, and software architecture's impact on real-world execution.

You will work with Python and SQL to design, build, and maintain data-driven applications. The role focuses on data engineering and integrating with a modern data lake platform.

You will use Python, SQL, and Databricks to design and build enterprise data platforms, developing ETL/ELT pipelines and data integration solutions within a lakehouse architecture.

Develop enterprise-grade software using C#, .NET, Azure, SQL, Angular, MVC, and Docker. You will design, develop, and maintain applications while collaborating with cross-functional teams, performing code reviews, and troubleshooting technical issues.

Work with Python and Django to develop and enhance web applications, supporting system integrations and delivering technology solutions for strategic business objectives as part of a collaborative digital team.

Work with Java, Spring, and AWS on a cross-functional, service-oriented team extending and maintaining Awin's Affiliate Marketing platform. You will design reliable services, write clean, well-tested code, and take ownership of meaningful engineering challenges.

JPMorgan★3.9 (20k)· London

Principal Data Engineer at JPMorganChase, working with SQL, Python, Spark, cloud platforms, Databricks, Apache Iceberg, and distributed frameworks like Hadoop and Kafka. The role designs and builds scalable data warehouse solutions, data pipelines, and ETL processes for the firm’s portfolios. Mentors junior engineers and partners with architects on delivery roadmaps.

WTW★3.6 (1.7k)· London

This role shapes WTW’s enterprise-wide AI engineering capability, defining technical direction for production-grade generative AI and agentic systems. You will work with Microsoft Foundry, Copilot Studio, Lyzr, Anthropic Claude, Moveworks, LLM/agent frameworks, and Model Context Protocol while building RAG pipelines, LLMOps practices, and governed integration patterns.