JPMorgan★3.9 (20k)· London

Work with KDB, Q, AWS, and optionally Terraform, Kubernetes, Python, C, C++, or Java. Develop and maintain applications storing large Options data sets for real-time and historical access within JPMorgan’s Equities Trading Data & Analytics team, migrating to AWS and re-architecting systems.

Wise★3.5 (42)· London

You will work with Java, Spring Boot, AWS, Apache Kafka, and potentially Trino. The Pricing Core team builds and maintains the main pricing platform that enables Wise to price its products, processing over 100 million requests daily across critical paths.

You will use deep learning frameworks, distributed computing technologies, GPU-based training environments, and MLOps practices to build and deploy batch and real-time recommendation, ranking, and personalisation models. This role is within ASOS's Search & Recommendations team, which builds the machine learning systems that help millions of customers discover products daily.

You will work with PyTorch, TensorFlow, deep learning models, recommendation and retrieval systems, and MLOps practices on cloud infrastructure. Joining ASOS’s Outfits Discovery team, you will build and operate large-scale production ML systems that power personalised outfit recommendations and AI-driven fashion discovery for millions of customers.

You'll work with Python (FastAPI/Django), Svelte/TypeScript, and AWS to build features across a payments and discovery platform. Tab is a YC-backed travel fintech enabling 100,000+ global tourism businesses to accept payments in 100+ currencies.

Allianz★3.8 (3.4k)· London

You'll build production data/ML systems using Python, Docker, Kubernetes, Terraform, Azure, Azure DevOps or GitHub Actions, plus SQL, PySpark, dbt, and Microsoft Fabric. Joining a small agile team, you'll deliver real-time API endpoints serving 10M+ daily requests and evolve cloud infrastructure and

You will work with Python, PyTorch or JAX, Docker, CI/CD, and cloud platforms to deploy ML models for protein design. The team builds scalable infrastructure for training, inference, and evaluation across molecular and protein datasets, taking research prototypes into production.

You will work with C#, Python, TypeScript, JavaScript, React Native, AWS or Azure, and various databases (relational, graph, document, key-value) plus SQL. The role supports critical projects aligned with Net Zero ambitions.

You will work with Java, Spring Boot, microservices, REST APIs, AWS, DevOps and CI/CD pipelines. You’ll lead client projects for a global technology consultancy, mainly in financial services, focusing on migrating legacy systems to AWS and introducing cloud deployments. As Principal Java Developer, you will lead projects, but team size isn’t specified.

Build UI components using Vue.js, React, or Angular, plus JavaScript, HTML/CSS, and Figma. You'll join TransPerfect TechOps, which develops workflow improvements, core services for the GlobalLink platform, and scalable client interfaces. Work within an Agile (SCRUM/Kanban) team.

NatWest Group★3.7 (1.2k)· London

Leading a team building cloud-hosted, event-driven microservices at NatWest Boxed, you will manage software and quality engineers across empowered squads while working with AWS, Google Cloud Platform, Java, Python, JavaScript, ReactJS, AngularJS, Kafka, Hadoop, PostgreSQL, Snowflake, and GitLab.

Imperial College London★4.2 (238)· London

You will use Python, PyTorch, NumPy, SciPy, Pandas, Anaconda, Jupyter and discrete-event simulation to develop performance, cost and reliability models for distributed Foundation Model inference across a Cloud-Edge-IoT computing continuum. The research, part of the f-inference project, focuses on KV-store caching policies, backpressure control, and stochastic multi-layer network models.

This Head of AI role at Munich Re Specialty – Global Markets owns the AI strategy and roadmap, moving use cases from concept into production across underwriting, pricing, and operations. The tech focus includes MLOps, AI evaluation and monitoring, responsible-AI governance, certified data products, and a semantic layerimiento. You will partner with Enablement, analytics, underwriting, and the CIO function to build AI capability and governance aligned with emerging regulation.

Liberty Global★3.8 (74)· London

This director role involves applying AI, machine learning, AIOps, 5G standalone, radio access networks, hyperscaler AI platforms and AI guardrails to drive network and AI strategy across Liberty Global’s telecommunications businesses. You will lead governance frameworks and integrate AI into network planning, operations and assurance to improve service quality and operational excellence.

SS&C★3.2 (1.7k)· London

Design, develop, and maintain automated test suites using C#, BDD frameworks (SpecFlow/Reqnroll), GitHub Actions, Playwright, and Selenium WebDriver. You will integrate AI-powered tools like Claude Code and GitHub Copilot to accelerate testing across Calastone's financial products, a global funds network.

Capgemini★3.7 (11k)· London

Junior Business Analyst joins Capgemini's Data Trust team, working with data management tools from SAP, Informatica, IBM, and Oracle. The role handles business analysis, requirements elicitation, and documentation for enterprise data governance, security, and AI/analytics solutions, using Agile, Scrum, BPMN, and UML in delivery projects.

Allianz★3.8 (3.4k)· London

Use Docker, Kubernetes, Terraform, Azure, Azure DevOps, and Python to build and maintain production-ready data and ML systems, including real‑time API endpoints serving 10M+ daily requests. You will join a small stream‑aligned agile team that develops cloud‑based infrastructure and automated deployment pipelines.

Atlassian★3.9 (61)· London

Leads a team of forward-deployed engineers building AI-powered solutions with Python, JavaScript, APIs, microservices, and LLMs. The team partners directly with top organizations to apply Atlassian’s AI capabilities to solve real-world problems.

EXL Service★3.7 (2k)· London

You will work with Generative AI tools (OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock), LLMs, vector databases (FAISS, Pinecone, ChromaDB), and Python frameworks (Transformers, PyTorch, scikit-learn). As part of EXL’s Data Science Team, you’ll build and deploy GenAI solutions for enterprise use cases such as customer service, document automation, summarization, and knowledge retrieval.

HCLTech★3.7 (11k)· London

You will work with Python, Go or Java, TypeScript, REST/gRPC, Gemini 3.0, Vertex AI, BigQuery, Vector Search, AlloyDB, Apache Beam/Dataflow, Agent Development Kit, LangGraph, and GKE. The role deploys Gemini Enterprise Agent Platform, designs multi-agent systems, and builds RAG pipelines to integrate with legacy APIs and ERP systems. Clients are in FS, RCPG, LSH, and manufacturing domains.

Sonar★5.0 (2)· London

You will work with Python, core ML frameworks, and post-training techniques including GRPO, PPO, RLVR, SFT, PEFT, and preference/safety alignment (Rust or SonarQube flagship languages are a plus). You will join a cross-disciplinary team developing advanced products that post-train models to power enterprise agentic coding practices, ensuring code meets enterprise standards.

Croud★4.4 (14)· London

Leads technical SEO and Web Experience, optimising client websites for search and AI chat engines using HTML, CSS, JavaScript, Chrome DevTools, Lighthouse, PageSpeed Insights, WebPageTest, Apache configs, CLI tools, Jira/Azure DevOps, and structured data. Oversees site migrations, platform rebuilds, and technical roadmaps as Croud’s senior technical authority.

You’ll work with JavaScript, TypeScript, React, Next.js, Node.js, Python, WebGL, Three.js, Unity, Unreal Engine, TouchDesigner, LLMs, AI agents, ComfyUI, vector databases, AWS/GCP/Azure, and Figma. At WPP Production, a global content production company, you’ll rapidly prototype and scale interactive digital experiences, bridging software engineering and creative design. You will line-manage and mentor mid-level and junior developers.

Verisk★3.5 (361)· London

Use TypeScript, JavaScript, Angular, Node.js, Azure or AWS, and microservices to design and build large-scale, cloud-native software solutions for Verisk’s insurance analytics platforms. You will shape technical architecture across multiple products and teams.

Bloomberg★3.8 (1.1k)· London

You will work with Go, C++, Python, Vitess, MySQL, MyRocks, RocksDB, and InnoDB. The team builds Bloomberg’s distributed OLTP storage platform, operating over 10,000 MySQL shards to serve critical financial data and building custom read/write APIs. The role covers the entire storage fleet at thousands-of-shards scale.