LexisNexis Reed Tech★3.3 (63)· London

Lead the data and agentic platform engineering organization, delivering scalable shared services including ingestion, integration, canonical APIs, and production-grade AI workflow capabilities with evaluation, observability, and guardrails.

Lead platform engineering for internal shared data and AI capabilities, including ingestion, integration, canonical APIs, and agent workflow platforms with orchestration, monitoring, evaluation, observability, and guardrails. The team builds scalable, reliable platform services for LexisNexis Intellectual Property Solutions, enabling data-driven innovation and production-grade AI workflows across multiple product domains.

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 work with Java, Kotlin, and Android OS to develop and maintain display and power frameworks for the Android ecosystem. As a Tech Lead Manager, you manage a team of software engineers, ensuring stability and extensibility of critical frameworks across devices.

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.

Lead a team of 7 engineers building and evolving an existing Rust-native systematic options trading platform for automated quoting, execution, pricing, and risk controls. You’ll work with Rust, C++, C, PostgreSQL, gRPC, and Node.js-based services. The team is part of Keyrock, a digital asset market maker and liquidity provider.

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 small mobile team building iOS and Android consumer products at a client. You will set technical direction across both platforms, work hands-on with code, and drive AI-assisted delivery using skills, agents, and spec-driven development. The role includes line-managing engineers and owning the team’s performance, delivery, and growth.

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 a small mobile team building consumer iOS and Android products for a client. You will drive mobile architecture, use AI-assisted development tools and agents, and champion spec-driven delivery. This is a hands-on leadership role at a digital consultancy.

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.

LexisNexis Legal & Professional★3.6 (1k)· London

You will lead platform engineering teams delivering shared data and agentic platform capabilities (ingestion, integration, canonical APIs, agent workflows, orchestration) with production-grade reliability, observability, security, and AI guardrails at LexisNexis Legal & Professional. You oversee the organization building and operating scalable internal platforms—data services and AI-workflow infrastructure—consumed by multiple product domains. The role manages engineering teams of unspecified size.

RELX Group★3.8 (133)· London

Lead engineering for shared data platform and agentic platform capabilities, including ingestion, integration, metadata, lineage, APIs, security controls, and AI workflow orchestration with production-grade monitoring. The team builds and operates platform services that enable trusted data and AI-driven workflows for LexisNexis Intellectual Property Solutions.

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.

You'll build and lead a team of 10+ engineers developing a compiler stack for Fractile's novel AI accelerator hardware, using technologies like MLIR or TVM to enable industry-leading LLM inference performance. The company is designing a full-stack AI accelerator from the ground up; the compiler team works closely with hardware, driver, runtime, and ML engineers across the stack.

You will lead two cross-functional squads — Cards Experience and Cashier Experience — owning

Trainline★3.9 (17)· London

You'll lead the App Platform team of iOS and Android engineers, building shared capabilities, tooling, frameworks, and engineering practices that power Trainline's award‑winning mobile apps. This role drives the mobile platform strategy and champions the unique needs of mobile engineering at the FTSE 250 rail‑ticketing company.

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.