Lead 6-7 engineers on core ML infrastructure for a systematic quant fund: distributed model training, LLM hosting/fine-tuning, and scalable deployment. Use Python with working knowledge of C++/Java. Own technical direction for real-world, high-stakes systems.

You will manage large software engineering teams using Java, JavaScript, and cloud platforms like Azure or GCP. The company builds and maintains high-scale, consumer-facing technology products with both frontend and backend components. The role leads engineering transformation initiatives and oversees distributed systems.

Google★4.3 (6.2k)· London

Work with Java and Kotlin on Android display and power management frameworks across devices. Manage engineers as a Tech Lead Manager, ensuring stability and extensibility of critical display and power frameworks for the Android ecosystem.

Engineering Managers at Ki lead teams working with Java, Python, JavaScript, Node.js, Spring Boot, Flask, Kotlin, GCP, and CI/CD tooling. Ki is the biggest global algorithmic insurance carrier, using machine learning and LLMs on its broker platform to digitise Lloyd's of London underwriting. The role collaborates with the CTO on technical strategy for the architecture, tech stack and infrastructure.

You will work with Java, Python, JavaScript, Node.js, Spring Boot, Flask, Kotlin, GCP, CI/CD, DevOps, GitOps, and Jira on microservice-based architectures. Ki is an algorithmic insurance carrier using machine learning and large language models to deliver broker quotes in seconds, and you will lead engineering for its core broker platform enabling underwriting at scale.

Lead a team of engineers building open-source workflow orchestration for n8n. This first-line manager role focuses on either the Governance & Observability team (audit logs, admin controls) or the Licence & Billing team (subscriptions, payments, usage tracking). You will work with modern SaaS technologies in a high-growth environment, directly managing engineers.

Leads backend engineering teams using Java/Spring Boot and Python/FastAPI, managing microservice architectures, Kafka, Kubernetes, and CI/CD with GitHub Actions and ArgoCD. Oversees delivery of foundational backend capabilities powering data, analytics, AI, and digital products within All

Engineering Manager for n8n, an open workflow orchestration platform. You will lead an engineering team focused on either Governance & Observability (audit logs, monitoring, admin controls) or Licence & Billing (subscriptions, payments, metering). This is a first-line engineering leadership role.

Lead and coach large teams of Software Engineers using Java, JavaScript, and cloud technologies. The role oversees Development teams building software for an instantly recognisable firm.

You will lead a team using TypeScript, Node.js, and React on AWS serverless, microservices, and event-driven architectures. The Affinidi Elements team builds a decentralized digital identity platform that gives users control over their data. You will guide the engineering team in delivering high-quality, secure features.

Morgan Stanley★3.8 (5.4k)· London

You will work with Java, HTML5, Angular, REST, FIX, CI/CD, and generative AI. The team builds document and workflow automation solutions for Morgan Stanley’s institutional equity derivatives platform, which processes structured products and OTCs. This VP-level role leads a globally distributed engineering team.

You will work with Android, Kotlin, Java, and AI tools, managing engineers across multiple teams and locations for the Watch Software Telemetry team. This team provides tools, pipelines, and infrastructure for metrics collection, data analysis, and insight generation to accelerate quality improvements for Wear OS, Pixel Watch, and Fitbit. You will oversee large-scale project deployments and a large product budget internationally.

Citi★3.9 (21k)· London

Lead architecture and hands-on development of a greenfield Agentic AI Platform on GCP using Vertex AI, ADK, LangChain, multi-agent architectures, and RAG with Python, Java/Spring Boot, and Kubernetes. The platform empowers Citi’s corporate and investment bankers with autonomous agents to streamline workflows and deepen client relationships.

Accenture★3.9 (29k)· London

You will build production-grade agentic AI systems using LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, Vertex AI, Kubernetes, Docker, Python, and Java. The role designs end-to-end multi-agent systems, RAG pipelines, and LLMOps (LangSmith, Braintrust) while embedding with client engineering teams to deliver enterprise solutions. No team size is stated.

Accenture★3.9 (29k)· London

Design, build, and operationalize AI/ML solutions using Python, TensorFlow, PyTorch, Deep Learning, Generative AI, LLMs, and MLOps/LLMOps pipelines. The role delivers production-ready outcomes for enterprise clients across the full solution lifecycle, from assessing data to deploying scalable systems on cloud, HPC, and edge devices.

BNY★3.5 (5.5k)· London

Lead a Build Engineering team building BNY’s central build automation platform, optimizing CI/CD pipelines and developer workflows. Use Java, Go, JavaScript, Python; GitHub Actions, GitLab CI/CD, Jenkins, Bazel, Gradle, Maven; Artifactory, Nexus; and AI/ML-driven build tooling.

Fanatics★3.5 (2.8k)· London

Lead a team of 5–8 engineers building a regulated prediction and trading platform from scratch, using Java, Go, and Kotlin. Oversee high-availability 24/7 systems and champion AI-assisted development tools (Claude Code, Codex, Copilot) across the core FMX trading team.

Lead a team of 5-8 engineers building a regulated real-money prediction and trading platform (FMX) using Java, Go, and Kotlin, modernizing a Java codebase. This hands-on role owns technical direction and delivery, championing AI-assisted development tools like Claude Code, Codex, or GitHub Copilot, and oversees engineering processes for a 24/7 trading environment.

Trainline★3.9 (17)· London

Manage a new team of MLOps Engineers using AWS, Docker, Terraform, CI/CD, MLflow, Airflow, Python, and Spark/PySpark. The team deploys and operates batch and online ML models—recommendation systems, LLMs, classification, regression—for Trainline’s rail ticketing platform. You will define MLOps practices and infrastructure to productionise AI products at scale.

You'll work with C#, .NET, Node.js, JavaScript/TypeScript, React, Next.js, AWS (provisioned with Terraform), Azure Service Bus, PostgreSQL, SQL Server, Docker, EKS and GitHub Actions. Lüp builds a data-driven event technology platform powering registration, lead capture and real-time analytics for complex events. AI-assisted development (Claude, ChatGPT, GitHub Copilot) is the default workflow.

Malt★0.0· London

Lead 2–3 cross-functional squads of 8–15 engineers, working with Java/Kotlin to build and scale KYC flows and an AI-driven compliance experience. You own the compliance ecosystem on Europe’s leading freelance marketplace, ensuring secure, trustworthy connections between freelancers and companies.

Rightmove★3.7 (31)· London

NodeJS and Java (Spring Boot) on Google Cloud Platform. This role leads cross-functional product development teams building the technology customers use to list properties on Rightmove.

Manage cloud-based CI/CD systems and IaC using tools like Terraform and platforms such as AWS, Azure, or GCP, with work in Python or JavaScript. As part of the Solutions & AI Lab practice, you will harden environments, enforce security, and build reusable automation artifacts for client data and ML platforms.

Apple★4.1 (14k)· London

You’ll lead an SRE team building and operating mission-critical Kubernetes infrastructure at Apple’s scale. You will work with Kubernetes, Golang, and large-scale *nix environments, extending open-source Kubernetes for Apple Services Engineering (iCloud, Apple Music, Apple TV, Intelligence, Maps).

LexisNexis Risk Solutions★3.8 (231)· London

Lead a software engineering team using JAVA/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, and Windows/UNIX environments. The role supports LexisNexis Risk Solutions, which builds data and analytics tools to help clients evaluate risk and improve operational efficiency. Manage offshore resources and oversee development, code reviews, and technical strategy.