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.

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.

Work with Google Cloud, Kubernetes, serverless, Terraform, Node.js (TypeScript), and CI/CD pipelines. You'll join the Platform Engineering team at Freetrade, an investing platform, to treat the platform itself as a product—building the foundational infrastructure, observability, and security that Freetrade's own engineers rely on to ship.

JPMorgan★3.9 (20k)· London

You will work with Java, TypeScript, React, Scala, SQL and No-SQL databases on cloud-native platforms. As part of JPMorganChase’s Data Platforms team within the Chief Data & Analytics Office, you will engineer solutions in metadata, meta-modelling, distributed systems, domain-specific languages and interpreter design. You will provide technical guidance to the team.

JPMorgan★3.9 (20k)· London

Lead Scala/Java Software Engineer on the Data Platforms team within JPMorgan Chase’s Chief Data & Analytics Office, leading an agile team to build scalable, secure technology products. Works with Scala, Java, Cats Effect, SQL/No-SQL databases, and AI-assisted development tools, focusing on metadata, meta-modelling, distributed systems, and domain-specific language design.

JPMorgan★3.9 (20k)· London

Senior Lead Software Engineer role on JPMorgan's Data Platforms team in the Chief Data & Analytics Office, working with Scala, Java, Cats Effect, and cloud-native technologies. The agile team builds secure, scalable technology products spanning metadata, meta-modelling, and distributed systems, with a focus on AI-assisted engineering and domain-specific languages.

Atlassian★3.9 (61)· London

Leading a distributed EMEA team, you'll use Python, JavaScript, APIs, and microservices to build AI-powered solutions with generative AI, LLMs, and agent-based frameworks. The Forward Deployed Engineering team partners with top organizations to solve complex problems using Atlassian’s AI capabilities.

Too Good To Go★3.7 (14)· London

Spring Boot, Java 25, Kubernetes, AWS, React.js, TypeScript, Kotlin, and Swift. You will build and lead a new London engineering hub, delivering integrations and systems that power workflows for a marketplace app fighting food waste. As the founding Engineering Lead, you will recruit and manage a multidisciplinary team from the ground up.

Junior C# and ASP.NET developers will use SQL, .NET Core/Framework, JavaScript and Azure to build a centralized SaaS platform for FX payments, helping financial institutions manage compliance, costs and cashflow.

C# and .NET developers will build and maintain APIs and backend services for a connected home beer ecosystem spanning hardware, mobile apps, cloud services, and eCommerce—working with relational databases, Git, and desirable AWS or Azure cloud exposure.

You will work with Python (Django/FastAPI), TypeScript, React, Astro, Svelte, PostgreSQL, AWS, Terraform, and frontier AI models via Amazon Bedrock. You'll own technical direction, mentor engineers, and build AI products for UK public services in health, education, planning, and Parliament. The role is in small, empowered, cross-functional teams.

As a Node.js/TypeScript Engineer in Sainsbury's Martech domain, you'll work on the Multichannel Messaging Hub (MMH) team using JavaScript, TypeScript, Node.js, microservices, Kafka, Snowflake, Kubernetes, AWS Serverless, and Terraform. The team orchestrates campaign delivery across email

Work with Vue.js, React, Angular, JavaScript, HTML/CSS, Figma, and Agile (SCRUM/Kanban) to build reusable UI components and optimize performance. Join the TransPerfect TechOps team delivering the GlobalLink platform and client interfaces.

You'll work with Node.js, React, TypeScript, APIs, cloud platforms (AWS/Azure/GCP), and CI/CD tools. The role is on a product team building a high-traffic global eCommerce platform processing thousands of daily transactions, developing customer-facing features and improving performance.

Backend Engineer (Python) at a fast-scaling AI-enabled property technology business. You will build and scale backend applications using Python and FastAPI on AWS, collaborate with frontend engineers on React, and use AI-assisted development workflows like Claude and Cursor to accelerate delivery.

Work across the full stack using Vue, TypeScript, JavaScript, Node.js, AWS, and various databases on a cutting-edge platform within a small, collaborative engineering team.

Python, TypeScript, React and PostgreSQL power this Senior Full Stack Developer role. The work involves building and owning a flagship AI platform that handles large-scale data processing, entity resolution and production AI workflows within a small, experienced engineering team.

BlackRock★3.8 (632)· London

Develop software with .NET, .NET Core, ASP.NET Core, C#, Entity Framework, SQL, REST APIs, Postman/cURL, and Git. You will build a new product from the ground up to drive digital transformations in the private equity industry.

You'll work with Python, TypeScript, LLM-powered systems, AI agents, and data pipelines. This London AI startup builds an evaluation layer and platform for strategic finance teams to automate complex modeling and analysis. As founding engineer/CTO, you'll own the entire technical stack and architecture as the first engineering hire.

You'll work with Python, FastAPI, TypeScript, React, and GCP, building services, data models, and APIs for a behavioral simulation platform that creates digital twins of populations. The team of 17 owns complex systems from design to deployment, orchestrating foundation models and data pipelines for major organizations.

Build and deploy production-grade agentic systems and RAG pipelines using Python/FastAPI and TypeScript/React. Lead the architectural development of an AI-driven agency model, replacing manual workflows with autonomous agents for the global property market.

Build LLM-powered agentic systems with persistent memory and tool orchestration, integrating Google Ads, Meta, and CRMs. Iterate on RAG pipelines, retrieval strategies, and domain-specific fine-tuning in Python. As the second ML hire, you deploy production-grade autonomous agents automating marketing operations for a Series A startup.

Build AI agents, workflows, and automations using LLMs, retrieval, tool calling, Python, TypeScript, and JavaScript. The role focuses on building AI-native systems for BJAK’s AI Neobank app, applying AI to financial workflows like onboarding, KYC, risk review, and operations.

You will build core infrastructure connecting distributed energy devices to electricity markets using Python backends on GCP. The team of 15 orchestrates assets like EVs and home batteries for grid optimization. You’ll work across product, devops, and data engineering.

Legora★0.0· London

You will use Python, data analysis, surveys, interview protocols, and dashboards to study how lawyers and legal teams build proficiency with AI tools. The AI Transformation & Applied Research team turns this evidence into actionable recommendations for product, customer enablement, and go-to-market at Legora, an AI-native legal workspace.