Goldman Sachs★3.9 (2.3k)· London

Lead migration of multi-billion-dollar funding trades onto cloud (AWS preferred) and risk-trading platforms for Goldman Sachs’ Corporate Treasury. Work hands-on with traders, quantitative engineers and control functions to build and scale funding-position systems across FX, Loans, Repo and Debt instruments. Provide technical leadership to a global team of engineers.

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.

Barclays★3.9 (6.9k)· London

Build and run cloud services using Terraform or CloudFormation, GitLab, Python, and AWS/Azure/GCP, with Kubernetes orchestration. You will create a new digital platform capability transforming Barclays’ digital estate, focusing on customer identity and access management (CIAM).

Works with Kubernetes, Terraform, AWS/GCP/Azure, and systems languages (Rust, Go, Python) to build agent-driven automation for compute cluster lifecycle management. This team owns provisioning, updates, and decommissioning of clusters across major cloud providers and internal datacenters, ensuring high-bandwidth, secure-by-default infrastructure.

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.

Low Carbon Contracts Company★4.4 (7)· London

The role uses Python (preferably PySpark), SQL, Azure (Data Factory, Synapse, Databricks, ADLS), and other cloud platforms. The team develops and maintains LCCC’s data warehouse, data pipelines, and governance artefacts to ensure reliable, integrated data for reporting.

Work with GNNs, foundation models, active learning, and optimization algorithms using PyTorch or JAX. Drive the core discovery engine of an autonomous laboratory that accelerates materials innovation by bridging simulation and physical experiments.

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.

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.

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.

Senior Data Engineer role at a private equity real estate firm, building cloud-based data pipelines and ETL processes using SQL, Python, Snowflake, AWS/GCP, and APIs. You'll integrate internal and external data sources, develop analytics solutions supporting investment decisions, and mentor two junior engineers while owning technical delivery.

Harvey Nash★3.8 (49)· London

SQL, Snowflake (or similar), AWS (S3, Lambda), Tableau/Power BI, and Python. You'll build and maintain data pipelines and integrations as a mid-level Data Engineer within a blended team at a global Media & Entertainment company.

You’ll build scalable data pipelines and engineering solutions using Python, SQL, AWS/Azure/GCP, Spark, Kafka, Airflow, and CI/CD for a technology consultancy delivering secure, data-driven analytics and intelligence projects.

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.

Wise★3.5 (42)· London

Work with Python, dbt, Airflow, Kafka, Trino, and Iceberg to build high-volume streaming and batch data pipelines. You'll join the Marketing Platform team to drive data architecture for Wise’s global customer-acquisition engine, bridging platform and analytics engineering.

Barclays★3.9 (6.9k)· London

The listing does not specify any concrete technologies, languages, or tools. You will join the Liquid Financing Technology team, building and enhancing data solutions for a modern cross-asset Client Risk platform used by Front Office, Risk, Finance, and Operations teams to monitor exposures, assess risk, and meet regulatory requirements.