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.

DeepL★3.8 (4)· London

You’ll work with C#/.NET Core, Cassandra, gRPC, Kubernetes, and AI-assisted tools like Copilot and Claude. You’ll join the Identity and Access Management team, which owns DeepL’s full identity stack—organization, group, account, consent, session management, SSO federation, SCIM provisioning, and the OIDC provider.

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.

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, TypeScript, React, and GCP. Electric Twin builds a behavioral simulation platform that creates “digital twins” of real populations, helping organizations test decisions with 95% accuracy.

Work with .NET, TypeScript, React, AWS, and CI/CD pipelines. Lead a small engineering team for a UK tech consultancy, owning technical delivery and architecture on client projects. Act as the technical face of projects from day one.

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

Build a high-performance LLM gateway in Go, working with Kubernetes, SQL databases, and distributed caching to route and secure AI traffic across 400+ providers. As a founding engineer at Requesty Ltd, you will design and scale this "Cloudflare for AI" infrastructure, currently processing 75B+ daily tokens for enterprises like Shopify and Pfizer.

Fine-tune and distill small language models (Llama, Mistral) using quantization (GGUF, AWQ), vLLM, TensorRT-LLM, FlashAttention, and frameworks like Apple MLX or llama.cpp. The founding engineer will own the model layer, shipping production AI for a pre-seed startup building privacy solutions for tier-1 banks.

You will build the AI platform for a London fintech that automates insurance claims, using LLMs, NLP, and ML for document ingestion, fraud detection, and coverage decisions. You will develop and deploy production-scale systems alongside founders and insurance domain experts.

You will build and optimize multi-agent AI systems using Python and LLM orchestration tools like Temporal or LangChain, plus observability and data pipelines. Tuza is a London fintech creating AI agents that automate manual banking workflows for partners like Worldpay and NatWest.

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.

McKinsey & Company★4.2 (952)· London

You will work with deep learning, foundation models, Bayesian modelling, causal inference, LLMs, and computational chemistry/protein engineering. As part of McKinsey’s global scientific AI team, you help transform clients’ R&D in life sciences, chemicals, energy, and other scientific industries.

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.

Product Manager owning the roadmap for the MCP or Agents module of AI Agent Management, working with an Engineering Manager and their pod. Uses AI-assisted prototyping tools, tracks usage metrics, and defines MCP/A2A support for Gravitee’s API, event, and AI agent platform.

Fujitsu★3.6 (2.4k)· London

Leading research on Generative AI trust and cybersecurity, this role focuses on securing generative models and AI agents. You will work with Large Language Models (LLMs) and GenAI development, driving projects with academic and industry partners. The researcher will also mentor junior team members.

Sitecore★3.5 (28)· London

Writes and develops customer-facing content — blog posts, eBooks, web pages, landing pages, email campaigns, case studies, advertising, social media, and event content — supporting Sitecore’s marketing campaigns and product launches. Works with Marketing, Product, Brand, and Creative teams on messaging strategies and narrative frameworks. Applies SEO and AI-discoverability best practices while using project management tools like Asana.

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.

Macquarie Group★3.8 (315)· London

In this role you will work with AWS and/or Google Cloud, LLMs, agentic systems, tool-calling, workflow orchestration, and evaluation frameworks. You will lead the global applied AI strategy for Macquarie's Commodities and Global Markets division—a group that helps clients manage financial and commodity market risks, access capital, and trade global markets—turning AI experimentation into scalable, controlled enterprise capabilities. No team size is stated.

You will work with agentic LLMs, reinforcement learning, Python, PyTorch, JAX, HF, and tools like CleanRL/AutoGen/LangGraph on an agentic code generation tool. The team designs multi-agent and RL approaches, builds research prototypes, creates evaluation suites, and curates datasets from complex technical documents.

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.