Morgan Stanley★3.8 (5.4k)· London

You'll work with core Java on UNIX/Linux, Git/Stash, Jenkins, JUnit, REST, TypeScript/Angular, low-latency messaging middleware, KDB/q, and FIX protocol. The role builds, deploys, and supports algorithmic trading strategies, analytical tools, and scalable trading engine infrastructure for automated systems in Equities. As a VP-level Lead, you'll manage multiple functions and guide junior staff.

Work with AWS/GCP/Azure, Kubernetes, Terraform, CI/CD systems, GPU infrastructure, and ML training/inference pipelines to build and scale AI-powered search and knowledge tools. You will directly manage one or more infrastructure teams (5–15+ engineers, growing to 15–30+) as you establish Perplexity's London office.

Build production-grade agentic AI systems using Python, modern LLM frameworks, orchestration tools, RAG pipelines, and evaluation/observability tools. The team solves critical real-world problems for manufacturing, utilities, aviation, and field operations. A small, high-calibre engineering team with genuine ownership.

You will work with Java, Spring Boot, Hibernate, REST APIs, microservices, Spring MVC, Spring Data JPA, Spring Security, and SQL databases (MySQL/PostgreSQL). You will design, develop, and maintain scalable Java-based applications and microservices for enterprise clients as part of a UK-based IT consultancy serving Fortune 500 and FTSE 100 companies.

Lead a ~132-person engineering org (5 direct reports) building financial services for Africa on Python/GraphQL, Postgres/Redis, Kotlin, Swift, TypeScript/React, GCP, Kubernetes, and Terraform—including AI-powered voice and digital agents handling 10M+ monthly interactions.

Build an MVP for a B2B AI engineering software venture at the intersection of enterprise data infrastructure, applied AI, knowledge systems, and CAE. You will work with LLMs, RAG, agentic workflows, knowledge graphs, backend architecture, ingestion pipelines, and containerized deployment. This is a hands-on CTO role where you personally own architecture, coding, and deployment before growing the engineering team.

You'll work with Python or Go, API gateways (Kong preferred), LLM providers (Anthropic, AWS Bedrock, OpenAI), RBAC/OIDC, and MCP. The AI Platform Engineering team builds and runs the infrastructure connecting engineers and client workloads to multiple LLM providers, including the inference control plane, orchestration, lifecycle tooling, capability marketplace, and governance controls.

You'll work with JavaScript, ElasticSearch, OpenSearch, MongoDB, Apache Kafka, EKS and Kubernetes on Ripjar's Labyrinth Screening SaaS platform, which automates detection of financial crime for banks and governments. This role leads technical decisions and architecture for scaling the platform.

Staff will architect a monolith-to-event-driven-services transition, optimizing PostgreSQL and building AI infrastructure (vector stores, LLM orchestration, embeddings, real-time chat) using TypeScript, Node.js, Go, and AWS. This role leads engineering for Fanvue, an AI-powered creator platform connecting millions of users, while mentoring teams through code reviews and design sessions.

Build features across Svelte/TypeScript front end and Python (FastAPI/Django) back end. Tab is a profitable YC-backed travel fintech processing thousands of hourly payments for 100,000+ global tourism businesses.

Work with LLMs, agent capabilities, and AI tools to build autonomous clinical AI agents (Dora). You’ll own clinical problems across patient and clinician experiences, integrating with EHRs and shipping products into live NHS and US healthcare use.

Design multi-agent systems and LLM pipelines using LangGraph, Strands, Python, AWS Bedrock, ECS Fargate, Lambda, and Step Functions. Build agent topologies, evaluation frameworks, and MCP integrations for AMPLIFYR.ai’s production brand analytics platform that leverages GPT, Claude, and Perplexity.

Build LLM and ML systems for document ingestion, fraud detection, and coverage decisions at Claimsorted, a fintech rebuilding the $200B insurance claims industry with an AI-first platform.

You will build multi-agent systems, complex RAG pipelines, and tool-use workflows using frameworks like LangGraph and Pydantic AI, integrating with Git, Jira, and Confluence APIs. The role designs and deploys autonomous "AI Change Agents" that perform automated risk assessments and policy compliance evaluations for operational risk, cyber, and safety stakeholders.

Work with Java, Spring Boot, Docker, Kubernetes, and message brokers to design cloud-native microservices and event-driven systems. You will lead development of Chip Financial Ltd’s unique Lombard lending platform for its proprietary brand and SaaS clients. Mentor junior engineers in a high-impact fintech environment.

Work with Java, Spring Boot, Hibernate, microservices, REST APIs, PostgreSQL/Oracle, and testing tools (JUnit, Cucumber, Wiremock, Mockito) in an agile, DevOps environment. You will build and improve the prepaid payment platform for Edenred PayTech, delivering features across the full development lifecycle.

Beamery★4.0 (1)· London

You will work with dbt, BigQuery, Kafka, PostgreSQL, MongoDB, Kubernetes, Python, and TypeScript/Node.js to build production ETL pipelines and an analytics layer. The data platform powers Beamery’s reporting and AI strategy, serving the company’s jobs, skills, and tasks data platform for talent lifecycle management.

Beamery★4.0 (1)· London

Architect Beamery’s data platform using dbt, BigQuery, Kafka, PostgreSQL, MongoDB, Typescript/Node.js, Kubernetes, Python, and Segment. The platform powers reporting and AI strategy for a skills and talent lifecycle management system. This is a senior individual contributor role setting long-term technical direction.

Elliptic★0.0· London

You'll lead a DevOps team owning Kubernetes/EKS platforms, service meshes (Istio/Linkerd), GitOps (Flux/ArgoCD), Terraform, Vault, OPA, and CI/CD security tooling. The company provides blockchain analytics to trace and disrupt illicit cryptocurrency laundering. The role is a hands-on team lead setting infrastructure, automation, and reliability direction.

Samsara★3.6 (32)· London

Work with Golang, TypeScript, React, GraphQL, and React Native. As a new grad, you’ll build backend infrastructure for an IoT platform, full-stack web features, mobile app infrastructure, or embedded software that runs on Samsara hardware.

Staff Software Engineer, AI Reliability Engineering at Anthropic. You will develop Service Level Objectives, design monitoring systems, and lead incident response for Claude's serving infrastructure. The AIRE team partners across Anthropic to improve reliability across critical serving paths, working with SDKs, APIs, and accelerators.

Build and ship end-to-end features using TypeScript, Vue.js/Nuxt.js, Node.js, Docker, AWS, MySQL, and AI-assisted tools like Claude. You’ll own infrastructure and deployment for &Dine’s online food marketplace connecting independent makers with customers. Join a lean engineering team of four.

You will build Venmark’s AI-platform from scratch using NextJS, Java, TypeScript, and AI-powered workflow automations. The company is an AI-native certification firm transforming the testing, inspection, and certification market by acquiring and integrating traditional providers onto a modern platform. As the first tech hire, you will embed with acquired SMEs across the UK.

Build and operate the distributed systems serving Claude to millions of users, using Python or Rust, Kubernetes, and cloud platforms (AWS/GCP/Azure). The Inference team handles request routing, autoscaling, and fleet orchestration across diverse AI accelerators.

FDM Group★2.9 (270)· London

Lead multiple cross-functional engineering teams for a banking/lending technology programme at a financial services client. Oversee ~20 engineers across 3-4 feature teams using Java, Spring Boot, React/React Native, and cloud-based solutions. Drive DevOps, CI/CD, secure coding, and platform modernisation.