Lead engineers on Canada Life’s Digital Product Team build user-facing products with modern front-end frameworks, CI/CD pipelines, and Azure-hosted solutions, specialising in UI/UX, accessibility (WCAG 2.2 AA), and front-end performance. They lead cross-functional squads through the full lifecycle, coaching engineers and setting technical direction for customer-centric digital experiences.

You'll work with neural networks, transformers, LLM fine-tuning, multi-modal modelling, modern NLP, and agentic research systems, plus extensive GPU compute. The role is at a proprietary trading firm building a greenfield central trading team and research stack from scratch, using a deep learning-first philosophy to generate alpha. Team scope is not stated.

Build and maintain scalable data pipelines using SQL, dbt, TypeScript, AWS, and CI/CD. You will work on a Web3 data platform that provides institutional-grade blockchain and financial data for analysing on-chain activity. A production-grade data engineering background is required.

You will work with TypeScript, React, HTML5, CSS, JavaScript (ES6+), FDC3, REST/WebSocket APIs, OpenFin, Chromium, Electron, Kafka, Solace, Tibco, Jenkins, and AI-assisted development tools. The team delivers pricing solutions for the Foreign Exchange (FX) business, building high-quality trading GUIs for internal and external traders. As a Vice President, you provide technical leadership and mentor junior engineers on a globally distributed team.

Build enterprise applications using Java, Spring Boot, RESTful APIs, microservices, SQL, and Angular/TypeScript. The team delivers large-scale software for a global financial services firm, actively using AI tools like GitHub Copilot and Claude.

Build enterprise applications using Java, Spring Boot, RESTful APIs, microservices, SQL, and Angular/TypeScript, with AI tools like GitHub Copilot or Claude. The team delivers large-scale enterprise software for a global financial services organization.

You will work with C# and C++ on FX options pricing and trading systems, using WinForms and/or WPF, and may encounter .NET Core, ASP.NET, React, TypeScript, and Kafka. You will join a front office technology team supporting a global FX trading business, enhancing and maintaining critical pricing and trading applications.

Work with Agentic AI, LLMs, Loop Harness, and LangGraph to build AI-powered products for a fast-growing technology business. You will collaborate directly with the CTO to embed AI into intelligent applications.

You'll work with Python, SQL, ETL/ELT, FastAPI, and AI/LLMs to build a mission‑critical Data Migration Platform that connects to legacy CRMs and onboard financial agencies at scale.

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.

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.

You will work with Python, TypeScript, React, Postgres, cloud data pipelines, and grid modelling tools like pandapower or PowerFactory. Squid is a Y Combinator-backed startup building an agentic modelling platform for power grids. As a founding engineer, you will build production software for grid operators, developing validation tools and human-in-the-loop systems.

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.

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.

React, Node/TypeScript, relational

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.

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.

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.

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.

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.