Backend Engineer Jobs in London

Build and improve the ML platform powering a proactive AI assistant, working with Python, Kubernetes, and cloud infrastructure. The product handles long-running workflows, multi-step reasoning, and external tool interactions for everyday tasks.

You will work with Java, AWS, JavaScript, React, and TypeScript as a hands-on Senior Software Engineer or Technical Lead. You will provide technical direction and lead engineers while designing and building solutions on AWS.

You will work with Python, Django, Flutter or React, PostgreSQL, and AWS on a Greenfield project for a client server that builds digital platforms.

You will own a full production system including a React/TypeScript web app, Postgres database, data pipelines, deployments, integrations, and an LLM serving stack. This role continues development of the company’s engineering platform with genuine full-stack breadth in one codebase.

You will work with React/TypeScript, Postgres, data pipelines, deployments, integrations, and an LLM serving stack. As the first full-stack engineer, you will own and develop the company’s MLOps platform end to end, including the web app, database, and production system.

Develop and own a full AI platform using React/TypeScript, Postgres, data pipelines, and an LLM serving stack. Build and manage the web app, database, deployments, and integrations end-to-end as the first engineering hire.

Use Java and C# to design and develop software solutions that support product and business objectives, working with Principal Engineers and Architects to define engineering best practices at Spyrosoft in a hybrid London role.

Build high-performance, real-time applications using Next.js, React, TypeScript, Web Components, AG Grid, and WebSockets or SignalR. The role involves developing complex, data-driven interfaces with real-time communication.

Work with PHP, JavaScript, HTML, CSS, Git, GitHub, Docker, and Linux to build secure, scalable production systems and integrate APIs. The role is at MedPal AI Plc, but no specific project or team scope is described in the listing.

You will work with Java, Spring Boot, JavaScript, Angular, relational databases and SQL, REST APIs, real-time systems, and CI/CD, alongside legacy Ruby. The role is in a startup or SME where you’ll take on a variety of full-stack development responsibilities.

You will work with C#, .NET, SQL Server, and Azure. You will architect, develop, and enhance in-house trading and research systems, working on greenfield projects that support real-world trading strategies.

You will work in an Agile team designing and implementing solutions for the Software Factory, supporting developers in design, code, and review. The client is BAE Systems, but the listing does not specify the team’s project or product. Team size is not stated.

You will work with a modern .NET tech stack in an AI-first engineering culture, delivering mission-critical, ISO 27001-certified software for UK Election campaigns. The company is a fast-growing Derry-based technology firm entering a period of significant growth.

Work with Java, C#, ReactJS, microservices, Kafka, Oracle, Couchbase, Prometheus, Grafana, CloudWatch, and CI/CD tools like Concourse. Focus on building and supporting APIs, event-driven systems, and observability pipelines. No specific product or team scope is described.

Work with modern development stacks and tools as part of a close-knit team building business-critical software for organizations across the UK at a growing Derry/Londonderry software company.

Work with React, TypeScript, Python/Node.js, Next.js, NoSQL/Relational databases, Docker, and cloud deployments. You will collaborate with public sector clients to build full-stack AI applications and custom LLM training data. Scale’s Global Public Sector team applies AI to critical government challenges.

Anthropic★5.0 (1)· London

You will work with Q-Sys, Google Meet, Logitech, Lua scripting, Netgear AV-over-IP switches, and DSP. As an AV Engineer at Anthropic—which builds reliable, interpretable AI systems—you will design and implement AV solutions for new office builds across EMEA to enable frictionless collaboration for AI safety research.

You will work with AWS/Kubernetes, Terraform/Pulumi, Java, Python, and AI code collaborators like Claude Code, Cursor, and Copilot. Fanatics Markets is a real-money prediction and trading app where users predict outcomes and trade on events. You will build scalable cloud-native infrastructure and developer tooling for this platform.

JPMorgan★3.9 (20k)· London

You will work with Java, Spring Boot, Hibernate, JPA, Spring Kafka, microservices, CI/CD, and AI-assisted coding tools; preferred skills include React, Angular, Kubernetes, and Python. You’ll build production-grade full-stack software that powers JPMorgan’s global banking businesses and supports millions of customers.

Apple★4.1 (14k)· London

You will work with Go, React, PostgreSQL, and Kubernetes to build internal tools for SREs and engineers. The Apple Services Engineering team provides infrastructure and tooling that supports cloud engineering and helps make Apple’s services (iCloud, TV+, App Store) highly reliable.

You'll work with AWS, Kubernetes, Terraform, Pulumi, CloudFormation, Java, Python, Golang, and AI coding tools like Claude Code, Cursor, GitHub Copilot. The team builds the Fanatics Markets real-money prediction and trading app for sports, entertainment, and political outcomes. As Staff Platform Engineer, you set technical direction and design durable platform abstractions.

You will work with Java 17+, Kotlin, Vert.x/Spring WebFlux, Kafka Streams/Apache Flink, gRPC, FlatBuffers/Avro/Protobuf, Elasticsearch/Solr, AWS (EKS), Docker, Kubernetes, Terraform, GitLab CI, Redis, and GraphQL. You will build and modernize the backend services powering event discovery, real-time seat availability, and interactive venue experiences for Ticketmaster's high-traffic prepurchase platform. This is a hands-on coding role with no direct reports.

You'll build production data pipelines using Apache Spark (PySpark), Databricks, Delta Lake, and SQL, with Unity Catalog, CI/CD, Terraform, MLflow, Kafka, and cloud platforms like AWS/Azure/GCP. Unifeye is a Databricks-first consultancy delivering Lakehouse data platforms for enterprise clients. No team size is stated.

Lead a small multidisciplinary team building a predictive sports modelling platform for the gaming industry. You will work with Java Spring, Kafka, AWS, Docker, and Kubernetes, while exploring AI-enabled engineering tools.