You’ll build and maintain scalable data pipelines and implement observability, monitoring, and data quality checks using Python, SQL, shell scripting, containerization, and IaC tools (with Scala/Java preferred). You’ll support AI/ML-driven financial technology platforms at a global fintech company, collaborating with product engineering, data science, and business teams.

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.

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.

Python, SQL, Apache Spark, Airflow, Azure Data Factory, Docker, and Kubernetes. You will design, build, and maintain data-driven applications, integrating with data lakes, lakehouse architectures, and enterprise databases for large-scale analytics systems.

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.

Senior Java Developer using Java, Spring, and AWS. You will design, build, and maintain features on a live SaaS platform for a HealthTech company that delivers patient care and rehabilitation software.

Write Python and FastAPI to build a real-time intelligence platform for private markets, used by venture capital and private equity firms to analyze live data and make faster investment decisions.

Senior back-end Java developers will deliver scalable, enterprise-grade applications using Java in a complex technology environment for a global investment bank’s Risk function.

Developers use C#/.NET, Java, or Python, along with SQL databases and cloud platforms like Azure or AWS. The role involves problem-solving and communicating with technical and non-technical audiences, with no specific project or team scope detailed.

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.

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.

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.