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.

Deloitte★3.9 (14k)· London

You will work with Python, NumPy, Pandas, scikit-learn, LangChain, Hugging Face, LlamaIndex, Azure Machine Learning, Foundry, Git, and Agile practices. The team is Deloitte’s Tax Digital Innovation AI & Data Studio, which researches, builds, and delivers analytics and AI-driven solutions for tax and legal clients.

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.

Senior Java Developer using Java, multithreading, concurrency, data structures, algorithms, and Linux internals. The role is within a global consultancy delivering software engineering and transformation projects, primarily for banking and financial services.

VueJS 3, JavaScript (ES6), HTML5, CSS3 (SASS), RESTful APIs, GIT, Azure DevOps (CI/CD), Jest, Cypress/Playwright. Build and maintain modern web applications, developing reusable UI components and ensuring responsive, accessible, performant frontends.

Teksystems★3.8 (4.7k)· London

You will work with Java (Spring Boot) and Angular to enhance and maintain a large-scale customer relationship management platform for a Tier 1 banking client.

Work with Java, Spring Boot, REST APIs, microservices, and cloud technologies to design and develop scalable backend solutions for critical banking platforms. You will join an experienced engineering team building high-impact financial services used across a global banking organisation.

Full Stack Developer role using C#, .NET, JavaScript, and Umbraco for an established luxury travel company. The work involves a major transformation programme building web-based tools to automate operational tasks, improve pricing accuracy and management information, plus website enhancements.

You'll work with JavaScript, Java, .Net, or Python; version control (e.g., Git, Mercurial); CI/CD tools (e.g., Jenkins, TeamCity); and automated testing frameworks. The team collaboratively designs and builds proof-of-concept or production systems.

You'll work with AWS, MySQL, Angular, Bootstrap, Kotlin, Spring Boot, microservices, IBM watsonx AI, and third-party integrations (Intercom, GetAccept, Calendly). The role covers MyIntent, Bequeathed's platform for online will-writing and expanding later-life services like LPAs and estate administration, delivered as SaaS via B2B2C partners. It's a senior individual-contributor role with technical leadership, not large-team management.

Work with Python, SQL, SHAP, Airflow, PyFlink, BentoML, Git, Jenkins, Octopus, Docker, JIRA and MLFlow. As a Data Scientist at Zempler Bank, you develop algorithms to protect customers, widen credit access and improve financial outcomes. You implement and monitor models in production.

Escalent★3.6 (38)· London

You’ll work with Python and frameworks like Django, Flask, or FastAPI, building RESTful APIs, microservices, and data pipelines while integrating AI/ML models and LLM APIs. Tech includes SQL/NoSQL databases, AWS/Azure, Docker, Kubernetes, and CI/CD. Escalent is a data analytics and advisory firm, and you’ll develop AI-powered applications and intelligent workflows in its cloud-native environment.

You will work with React, modern JavaScript/TypeScript, and APIs. As part of a fintech engineering team, you'll build data-intensive platforms that support business-critical workflows, taking ownership of features from design to deployment.

Build core backend services for DDN’s Infinia AI Data Platform, working with Go, C++, Java, or Python, REST/gRPC APIs, Kubernetes, and microservices in hybrid OnPrem/cloud environments. You will design scalable distributed systems for control-plane orchestration, lifecycle management, and policy enforcement at petabyte scale. This hands-on technical leadership role contributes to API governance, observability, and security across the platform.

You'll work with Kubernetes, Terraform, Python, AWS or GCP, and CI/CD tools (GitHub Actions, GitLab CI, Argo CD), plus observability stacks (Datadog, Prometheus, Grafana). You'll bring SRE discipline to an AI platform hosting model serving, agent orchestration, and batch inference.

KPMG★3.8 (9.9k)· London

You will use C#/Java, ASP.NET Core, TypeScript/React, Blazor, Azure Kubernetes Service, Azure SQL/NoSQL, Docker, and Git/Jenkins/Azure DevOps. You will lead a team of Software and QA Engineers building cloud-first web portals and systems for KPMG’s Tax & Legal business, part of a 160-engineer department.

You will use Python, Java, or C++ with machine learning frameworks like TensorFlow and PyTorch to build scalable AI models. You will enhance AI capabilities for a financial institution serving the finance and insurance sector.

You’ll work with Python, Docker, CI/CD, AWS or Azure, SQL, Linux, Bash, Git/GitHub, and optionally Streamlit, Rust/C/C++ or React. You’ll join the Internal Tools team at an AI scale‑up building the systems that deploy, operate and scale its flagship AI product for data‑centre energy efficiency.