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.

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.

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.

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.

Work with Python, large language models, AWS services, Claude, Docker, and Linux to build AI agents and cloud solutions. You'll join Cloudscaler, a consultancy delivering AWS transformations for government, defence, and enterprise clients. This graduate entry role starts in a cohort with structured mentoring and certification support.

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.

EPAM Systems★3.8 (703)· London

You will lead the design and optimization of scalable cloud-native data architectures using Azure Databricks, PySpark, Delta Lake, and Delta Live Tables, with Azure-native services like Data Factory and Synapse, plus CI/CD tools (Terraform, GitHub Actions). The team builds large-scale data platforms and ETL/streaming pipelines following Lakehouse principles, driving modernization and AI initiatives. As tech lead, you mentor engineers and define data strategies.

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.

Marqeta★3.6 (8)· London

Use REST APIs, SFTP, SQL, and Datadog to lead technical onboarding and configuration of Marqeta’s card issuing and payments platform for new customers. Guide customers through API integration and collaborate cross-functionally with product and engineering teams.

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.

You will work with SQL, BigQuery, dbt, and A/B experimentation. As part of the data team at Muzz—the world’s biggest dating and marriage app for Muslims—you will analyse user behaviour, own reporting dashboards, and provide analytical support across the product development lifecycle.

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.

Work with RPA platforms (UiPath, Automation Anywhere, NICE), machine learning, chatbots, content intelligence tools (ABBYY), and languages such as C#, .NET, Java, Python, SQL, HTML, or JavaScript. The company focuses on robotic process automation, delivering solutions for clients primarily in the UK, US, and Europe.