Lead, coach, and mentor engineers using Java and JavaScript frameworks. The client is a healthcare provider building modern, scalable products to deliver world-class patient experiences across the UK as part of a digital transformation.

Product Engineer role working with TypeScript and Python, owning full-stack feature development from database schema design (Postgres) to frontend interactions. You’ll build tools enabling Fortune 500 organizations to test strategies via large-scale AI simulations, collaborating directly with the CTO and CPO.

Build full-stack products from scratch using TypeScript, React, Node.js, Python, JavaScript, SQL/NoSQL databases, Google Cloud, and AI/ML/LLM tooling. The ITO builds proprietary AI infrastructure, consumer/enterprise digital products, and the data/intelligence layer for Steven.com's creator-economy operating system. You will work directly with the VP of Engineering and product leaders on features and strategy.

You will lead technical design and development using Java, Spring Boot, Microservices, and Event-Driven Architecture, alongside Azure and Kubernetes. You will drive cloud-native digital transformation for a FCA-regulated financial services client, delivering secure, scalable enterprise platforms. The team scope is not stated.

Wise seeks an Engineering Lead for its Account Management team, working with a JVM codebase (Java/Kotlin) and Spring Boot. The role involves leading engineers, staying hands-on with code, and owning the technical roadmap for the current account and everyday banking products that handle how customers hold, organize, and move money.

This Junior Software Engineer role uses Python, Node.js, PostgreSQL, MongoDB, React, and AWS to build backend services, APIs, and frontend applications while supporting commercial machine learning model deployment.

You will work with Python and ML frameworks like PyTorch to conduct original research in interpretability. The team advances the science of how large AI systems work, developing techniques to understand, debug and steer model internals.

Use Java 17+, Spring Boot, Oracle SQL, document-store databases, Kubernetes, Jenkins, and GitHub Copilot to build high-performance, mission-critical systems that provide end-to-end visibility into payment lifecycles for an investment bank. You will also mentor junior engineers, conduct code reviews, and design scalable back-end solutions.

You will use Azure Databricks, Azure Data Factory, Azure Data Lake Storage Gen2, and Azure SQL/PostgreSQL; develop in Python, Scala, and SQL; and work with Spark, CI/CD, Git, and Docker to build data pipelines. These solutions support HR and employee lifecycle processes within the company.

JPMorgan★3.9 (20k)· London

In this role, you will work with Go, Python, Java, Kubernetes, Terraform, and public cloud providers like AWS, Azure, or GCP. You will help build a new Identity and Access Management (IAM) team within JPMorgan's Public Cloud Engineering organization. As a Lead, you will guide architecture, mentor engineers, and drive platform services for cloud infrastructure.

You will use PyTorch or JAX, Python, and DFT packages like VASP or Quantum Espresso to develop machine learning interatomic potentials (MLIPs) that accelerate discovery of advanced functional materials by integrating ML with first-principles physics and automated experimental data.

You will work with Python, Django, data pipelines, algorithms, and machine learning models to build an AI-powered engine that automates electronic circuit board design from requirements to manufacture-ready outputs.

You'll work with Java (8, 17, 21), React/TypeScript (or Angular/Vue), and REST APIs to sustain current environments and deliver new capabilities across full-stack development. You will also mentor less experienced engineers through code reviews and technical guidance.

You'll work with ERP systems, APIs, SQL, data/ETL, and integration tools while running product demos and building proof-of-concepts. DualEntry's AI-native ERP automates accounting from data entry to close for finance teams. You'll translate complex workflows into product solutions for CFOs and engineers.