Software Engineer Jobs with Visa Sponsorship in London

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.

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.

Senior GRC Engineer to own DORA, EU AI Act, NIS2, and UK PRA/FCA compliance at xAI. You will work with Compliance-as-Code tools like Vanta, AWS/GCP/Azure cloud, and CI/CD pipelines to automate control validation and evidence collection for the company’s AI and fintech products. This hands-on, individual-contributor role operates in a flat organization with no stated team size.

Design and secure cloud and hybrid infrastructure using Python, Terraform, Kubernetes, IaC, CI/CD, SIEM, CSPM, CWPP, and AWS/GCP/Azure. You will protect mission-critical applications for xAI’s AI systems and platforms including X Social and X Money.

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.

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 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.

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.

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.

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.

You will work with Python, Django, FastAPI, PostgreSQL, AWS, and distributed async workers. The team builds an AI platform that processes purchasing records and recipes to measure and reduce carbon emissions for the food industry. You will own the backend for a core product in an eight-person startup.

You will work on mobile or web applications, using JavaScript, React, Node.js, TypeScript, Python, or Java for web, or Swift, Objective-C, Kotlin, or Java for mobile. Konrad is a digital consultancy that builds consumer and enterprise digital products.

Amazon★3.5 (56k)· London

You will work with Java, C++, or C# and build large-scale distributed systems as part of Amazon's IAM group, which protects customer and corporate data. This is a greenfield initiative focused on security innovation through data exploration and machine learning. The role requires cross-functional collaboration across multiple teams and technologies.

MUFG★3.3 (1k)· London

Senior AI engineer in MUFG's Global Markets Engineering Office; role builds AI solutions using generative AI, agentic workflows, RAG, prompt orchestration, workflow automation, and data-driven decision-support tools. The position identifies, designs, and embeds AI solutions to improve productivity, control effectiveness, and operational resilience within a specific business product line.

Goldman Sachs★3.9 (2.3k)· London

Design, implement, and maintain quantitative models and risk frameworks using C++, Java, or Python for Goldman Sachs' Corporate Treasury division, which manages the firm’s liquidity, funding, balance sheet and capital to maximize net interest income.

JPMorgan★3.9 (20k)· London

Senior Lead Software Engineer will work with Java, cloud technologies (AWS preferred), RESTful APIs, web technologies, messaging frameworks, and relational data stores. The role is in JPMorgan Chase’s International Consumer Bank, building back-end systems for digital banking products like payments, fraud prevention, and onboarding. You will lead the Engineering Community, driving career development, culture, hiring standards, and communities of practice across the organization.

Python, SQL, AWS, IaC (Pulumi or Terraform), and likely Airflow, dbt, Spark, Kafka. You will build ETL/ELT pipelines ingesting and normalising data from fragmented legacy police systems for AI-powered investigation software and smart hardware. This is a founding role on a 7-person engineering team.

You'll work with TypeScript, React, Next.js, Node.js, PostgreSQL, AWS, Docker, and AI-assisted development tools, building scalable web applications for a multi-client technology business serving the creative, media and digital sectors.

You will work with Java, Spring Boot, React, TypeScript, Docker, and AWS or Azure on public sector digital transformation projects. The team builds cutting-edge digital solutions for government clients, using Git, CI/CD pipelines, and NoSQL databases such as MongoDB.

WPP Media★4.0 (1)· London

Lead a multi-faceted Engineering and BI team designing data pipelines using Adverity, dbt, and SQL within an AWS-native environment (Amazon S3, Redshift). The role governs solution architecture for OpenDoor, WPP’s partnership with Amazon, delivering large-scale digital transformation and advertising data infrastructure for a top global client.

Work with Microsoft Power Platform (Model-Driven Apps, Dataverse, Power Automate), C# Plugins, PCF Controls, Custom Connectors, Azure API Management, Logic Apps, Azure Functions, and Azure DevOps repos/pipelines. Design and customize enterprise Power Platform solutions, building integrations and managing ALM. No team size stated.

You'll develop and refine LLM agents, designing scaffolding, running research experiments, and building internal benchmarks to improve reasoning and probability distributions. Mantic is a London-based AI startup that builds systems for judgmental forecasting of geopolitical and economic events.

Design, build and operate production agentic AI systems using Python, LLMs (Azure OpenAI, Anthropic, open models) and frameworks like LangGraph, LangChain, LlamaIndex, as well as MCP servers, vector databases, RAG, and observability tools. The team delivers reliable, audit-ready AI for banking, insurance and fintech clients at a global IT solutions provider.

Ares Management★3.3 (33)· London

This senior full-stack engineer works with cloud-native architectures, microservices, Kubernetes, messaging/event streaming, APIs, and CI/CD. They build scalable applications, data services, and platform capabilities across Ares' global credit investment lifecycle, including deal origination, underwriting, portfolio monitoring, risk management, and analytics.