Work with modern component-oriented front-end frameworks/libraries, Azure, CI/CD pipelines, and test automation. Lead the Digital technical leadership team of a UK financial services company building digital products for retirement, investment, and protection needs. Mentor and coach other engineers as a specialist in UI/UX, accessibility, and front-end performance.

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.

You'll work with Python, FastAPI, TypeScript, React, and GCP to build services, data models, and APIs for a behavioral simulation platform that creates "digital twins" of populations. The team of 17 at Electric Twin is building this platform to help organizations predict human behavior with 95% accuracy.

Build features with React, TypeScript, and Python or Node.js, designing data pipelines and analytics for a database of 9M+ clinician profiles. G LNK is an AI-powered healthcare commercial intelligence platform using LLMs, vector search, and semantic retrieval to connect pharma with medical experts. You'll work directly with the CTO and CEO.

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.

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.

Senior Quality Engineers will build AI Agents, test frameworks, CI tooling and helpers using LLMs and AI tooling, working with GitHub Actions and observability (Datadog, Sentry, Grafana) across an AI-assisted testing function. The team defines Lendable's test pyramid, improves E2E automation, and partners with product and engineering to shift quality left across credit products.

You'll work with AI agents, LLMs, test frameworks, CI tooling (GitHub Actions), and observability stacks (Datadog, Sentry, Grafana) to automate quality across Lendable's fintech credit products. The role enables cross-functional product teams to maintain high quality through hands-on coding, AI-assisted test authoring, and shift-left practices.

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.

Fine-tune and distill small language models (Llama, Mistral) using quantization (GGUF, AWQ) and inference engines (vLLM, TensorRT-LLM). Presential Limited builds the privacy layer for enterprise AI, enabling tier-1 banks to securely use sensitive data with external models. As founding AI engineer, you’ll own the model layer and ship production solutions.

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 will design and train custom deep-learning models and fine-tune large language models using Python, TensorFlow, or PyTorch. The work involves leading research for Kangal AI, a venture building frontier AI for governments and security clients. You will own the entire model stack and scale a research team as a founding hire.

You will lead the Risk Modelling pillar, architecting ML systems for financial crime detection using deep learning, GNNs and LLMs. Your team builds the automated model lifecycle—from experimentation to production deployment—operating at 100K requests/minute under 50ms latency. You will recruit and lead a team of Senior ML Systems and Applied ML Engineers.

Glasswall★0.0· London

Work with Python, PyTorch, Scikit-learn, Hugging Face, Git, CI/CD, and MLOps tools to build, tune, and optimize machine learning, deep learning, and generative AI models. You will design LLM-powered systems (RAG pipelines, fine-tuning, agentic AI architectures) and production-grade pipelines within the Applied AI team at Glasswall. This hands-on role includes providing technical guidance and mentoring to mid-level and junior engineers.

Capgemini★3.7 (11k)· London

Lead a team of AI Engineers, Data Scientists and ML Engineers designing, developing and deploying enterprise-grade AI and Generative AI solutions. You will architect and implement LLM and GenAI applications using cloud-native technologies within Capgemini’s Insights & Data practice, driving the AI/GenAI roadmap and overseeing end-to-end project delivery.

Work with Go, Rust, Python, Java, or C++ and headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer) to build large-scale web crawlers and data pipelines. The team develops infrastructure for acquiring massive amounts of public web data to train AI models, operating a distributed crawler via a bandwidth-sharing network and processing billions of videos, transcripts, and audio files.

Design, configure, and deploy SailPoint IdentityIQ solutions, developing workflows, rules, and connectors. Integrate with Active Directory, LDAP, HR systems, and business applications using Java. As part of AIG’s Identity and Access Management team, you will secure and manage user identities and access privileges.

Work with Python, Java, C++, TensorFlow, Keras, PyTorch, and optionally NLP, computer vision, and cloud platforms (AWS, Azure). The role at Demo Co. involves developing and implementing AI models and algorithms, integrating AI solutions into existing systems, and conducting research to enhance AI application performance.

Tech Lead role using Java, Kotlin, Python, JavaScript/TypeScript, Spring, and Node.js to build cloud-based digital banking solutions. The consultancy helps clients build, launch, and run digital banks. You lead a team of engineers, contributing to system architecture, coding, and strategic decisions.

Google★4.3 (6.2k)· London

Work with Python, Java, Go, C or C++, large language models, prompt development, and conversational AI frameworks. As an AI Solutions Deployment Manager on the Google Cloud Consulting Professional Services team, you guide customers through their cloud journey and help deliver agentic AI solutions for Google’s most strategic global clients.

You'll work with AWS CDK, Kubernetes on EKS, CircleCI/GitHub Actions, Lambda, ECS, Redshift, RDS, Kafka, Flink, Redis/Valkey, Datadog, and TypeScript/Python/Bash. The Platform Engineering team builds the tooling, automation, and infrastructure that development teams use to build, deploy, and run software on Sparta's commodity trading platform.

You will design, develop, and productionise optimisation algorithms and decision-support tools using Python, Java, and/or Rust, employing MILP, metaheuristics, stochastic programming, or reinforcement learning. The role involves building cloud-deployed CI/CD, containerised, and orchestrated solutions for transportation, logistics, workforce scheduling, and media planning as part of cross-functional product squads. You will act as a senior technical lead, mentoring peers and driving engineering standards.

The AA★3.1 (797)· London

You'll build production-ready AI applications using Python, APIs, and cloud-native services, working with Generative AI, LLMs, RAG, agentic systems, plus CI/CD, containerisation, MLOps, and LLMOps. You'll join The AA's newly established AI function, designing intelligent products for the motoring organisation's members, customers, and frontline teams.