This role involves working with Selenium, Java, UFT, SQL, Azure DevOps, ALM, and CREST settlement systems, including CREST, SWIFT, and ISO15022/ISO20022 messaging. You will define testing strategies and execute automated and manual tests for complex post-trade and securities settlement platforms. The position is within an Agile delivery team in the financial services sector.

You will use Python, JavaScript, Microsoft 365, Power Platform (Power Apps, Power Automate), and APIs to design, build, and enhance internal applications, automations, and AI-powered solutions. This role supports a technology-led company investing in AI and automation by developing internal tools that improve business efficiency and productivity.

Work with Kotlin, SQL/noSQL, TensorFlow Lite, Coroutines, Flow, and REST/gRPC to build a production Android app for an AI-powered proactive smart assistant that handles multi-step workflows and real-world task completion.

Build and maintain iOS applications using Swift and SwiftUI, integrating AI features backend APIs and on-device inference with TensorFlow Lite. The team is building an AI-native proactive smart assistant that handles long-running workflows, multi-step reasoning, and real-world task completion for everyday users.

You will work hands-on with React Native, Kotlin, MongoDB, Jira, Git, CI/CD, and RESTful APIs, acting as scrum master for Reset Health’s Live Platforms team. The team delivers production releases every two weeks, handling customer customisations, enhancements, bug fixes, security patches, and 2nd-line technical support.

Sainsbury’s★3.5 (16k)· London

As Engineering Manager in Integration, you'll lead and coach a multi-skilled team building reusable integration kits, common components, and platform services using JAVA. You'll drive CI/CD, observability, and cloud-native services to standardise how integrations are built, deployed, and operated across Sainsbury’s.

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.

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.