Lead a disputes team at Checkout.com, working with a .NET/C# back end, React/TypeScript front end, and Python for machine learning, alongside REST APIs, event-driven microservices, and SQL. The team builds tools and models to help merchants manage and win chargeback disputes at scale. You will oversee engineers across disciplines and seniority levels, driving predictable delivery and operational efficiency.

You will work with backend development, databases, APIs, cloud services and production machine learning systems. This is for a growing technology business. No specific project or team size is mentioned.

You will work with Python, AI coding agents (e.g., Claude Code, Codex), and potentially AWS, Kubernetes, and Temporal. Unitary builds Virtual Agents — AI-powered software workers that automate complex workflows end-to-end in customer tools, focusing on commercial insurance, marketplaces, and primary healthcare.

Checkout.com★3.8 (15)· London

Senior Engineering Manager leading the Disputes team, which builds tools, services, and machine learning models to help merchants manage and win chargeback disputes at scale. The team owns a full stack centered on .NET / C#, React and TypeScript front ends, Python-based ML, and event-driven microservice architectures.

Backend engineers use Python, Django, Django-REST-framework, GraphQL (Graphene), Celery, Postgres, and AWS (Packer, Consul, Terraform). They build and maintain the AI-driven energy management platform that powers utilities and optimises renewable generation. The global engineering team is around 1,400 people.

Native Kotlin and Jetpack Compose development on a consumer-facing Android app for in-store grocery trips, running on a known device inside live stores. Integrates on-device edge AI (ML Kit, TensorFlow Lite) and uses AI coding tools like Cursor or Claude Code. Reports to the Head of Android.

You'll work across the full stack using Python, frontend, embedded systems, ML, and networking, with Linux, devops, and edge-device deployment. Minerva Defence builds software, hardware, and networking for unmanned battlefield systems.

Work with AWS Bedrock, LLMs, AI agents, web frameworks and full-stack engineering to design and deliver a customer-facing compiler and interface for natural-language financial markets analytics. This role integrates AI into TradingHub’s trade surveillance platforms, building multi-layered agents that interpret queries and generate responses.

You will build AI-powered products and platforms using Golang, Kubernetes, and cloud-native microservices. This role is on Citi’s AI Product & Platform team within the Chief Technology Office, creating scalable backend services and APIs for enterprise AI applications.

Google★4.3 (6.2k)· London

You'll work on Android with Java and Kotlin for the Growth Systems and App Foundations team. This role builds the foundational and growth-oriented systems that power Google's Android apps at massive scale.

Moody's★3.6 (589)· London

You will work with Python, TypeScript, Java, or Go; cloud platforms (AWS, GCP, Azure); Docker, Kubernetes, PostgreSQL, MongoDB, Redis, vector databases; and build AI applications using LLMs, RAG, prompt engineering, and AI agents. The Innovation team builds next-generation internal and external products powered by large language models, AI agents, machine learning, and natural language processing.

Edited★2.7 (3)· London

You will work with Python, *nix, LLMs, MCP, Django, Flask, FastAPI, Elasticsearch, and SQL databases. You will build an AI chatbot with agents and tooling, and scale a large-scale retail data infrastructure on AWS and bare metal for the company's AI-driven retail intelligence platform.

You'll work with frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), databases (SQL, NoSQL, vector databases), LLM frameworks, and cloud platforms (Azure, AWS, GCP) including Docker and CI/CD. QuantumBlack, an AI division of McKinsey, builds industry-shaping products and tools across diverse industries by pairing software engineers, AI engineers, and data scientists with client leadership. As a Senior Software Engineer, you'll lead architecture design, mentor teams in engineering excellence and Agile practices, and drive technology decisions on scalable solutions.

Build Android fitness app features with React Native and Expo, using Claude for AI-assisted development and agentic workflows. 1-month contract fully remote.

You'll work with Python, building and deploying LLM-powered systems from scratch. As one of the first technical hires, you'll design and shape AI systems that solve a real-world problem, collaborating directly with the founding team.

JPMorgan★3.9 (20k)· London

You will work with Python, AWS, EKS, Docker, Kubernetes, Kafka, and MLOps tools. As a member of the Applied AI/ML Software Engineering team within CIB Security Services Technology, you will build cloud-based frameworks for hosting machine learning models alongside Data Scientists to integrate AIML solutions into production systems.

Amazon★3.5 (56k)· London

Develop generative AI and large models using Java, C++, Python, and Unix/Linux for Prime Video’s observability team, which combines log management, tracing, and AI-powered analytics to detect and diagnose issues at unprecedented speed.

JPMorgan★3.9 (20k)· London

You will work with Python, cloud-native technologies, CI/CD, AI-assisted development tools, and databases. As part of the AI and Machine Learning Data Platforms team, you will build and deliver technology products while providing technical leadership on data projects. You will also mentor a couple of junior engineers.

Build and own the machine learning models (propensity, uplift, contact strategy) that decide who, when, how often, and on which channel (voice, WhatsApp, email, SMS) Murphy's AI agents contact debtors to maximize recovery within legal limits. Work in Python, TypeScript, AWS, and PostgreSQL; design, run, and ship A/B tests and bandits on live traffic.

Deepgram★3.0 (2)· London

You will work with Deepgram’s real-time speech-to-text and text-to-speech APIs, voice agent platform, and cloud or self-hosted models — guiding enterprise customers on integrations, architecture discussions, and troubleshooting. As part of the Customer Success team, you drive adoption, solve technical problems, and identify expansion within a portfolio of strategic accounts.

Echobox★4.0 (1)· London

You will work with Python, Java, or Node.js, back-end frameworks, SQL/NoSQL databases, RESTful APIs, microservices, Git, and AWS/GCP/Azure. You will build and maintain back-end services and systems supporting AI-powered products that help online publishers.

Echobox★4.0 (1)· London

You will work with Python, Java, or Node.js, SQL and NoSQL databases, RESTful APIs, microservices, Git, and cloud platforms (AWS, GCP, Azure) to build and maintain back-end services. The company develops AI that helps online publishers like The Times and Le Monde overcome daily challenges, and you will collaborate with data scientists and product teams to support these AI-powered products.

Google★4.3 (6.2k)· London

Manage engineers building Google’s Learning Platforms within the Global Business Organization, which powers Google’s ecosystem of products and services for customers and partners. Work with back-end languages (Java, Python, Golang, C++) and front-end (JavaScript, TypeScript, HTML, CSS), plus ML model fine-tuning and evaluation.

Deepgram★3.0 (2)· London

An AI-native Customer Success Engineer fluent in APIs and integrations, owning the full lifecycle for enterprise accounts at Deepgram, a real-time STT/TTS/Voice AI platform. You will run demos, architecture discussions, and L1 troubleshooting to drive adoption with developers and CTOs, while uncovering expansion and acting as the customer’s voice to influence product and roadmap. You own a portfolio of strategic enterprise accounts end to end.