This senior fellow role applies AI methods—deep learning, foundation models, Bayesian modelling, causal inference, large language models, computer vision, diffusion models, reinforcement learning, and knowledge graphs—alongside protein engineering and computational chemistry. The position sits on McKinsey’s global scientific AI team, transforming client R&D in life sciences, specialty chemicals, energy, materials, agriculture, and advanced industries. It includes leading initiatives and mentoring junior colleagues, with no team size stated.

Design and maintain automated test suites using C

You will use Python, core ML frameworks, and post-training techniques (GRPO, PPO, RLVR, SFT, PEFT) to develop enterprise-grade coding agents. This cross-disciplinary team combines Sonar’s static analysis with LLM post-training to help customers build agents generating high-quality code meeting enterprise standards.

Imperial College London★4.2 (238)· London

You will develop machine-learning and structural-bioinformatics methods for protein design using Python, modern deep-learning frameworks, protein diffusion/flow-based models, HPC clusters, and cloud computing. This role contributes to ProteinCAD, part of the CADMUS consortium, which uses designed proteins as programmable scaffolds to organise inorganic particles for manufacturing advanced magnetic materials.

Imperial College London★4.2 (238)· London

You will work with Python, PyTorch, NumPy, SciPy, Pandas, discrete-event simulation, Anaconda and Jupyter to develop performance, cost and reliability models for distributed Foundation Model inference across Cloud, Edge and IoT tiers as part of the f-inference project. This role is in the Department of Computing at Imperial College London.

SSE PLC★3.1 (539)· London

Work with SQL, Python, Databricks and Power BI to build statistical and machine learning models. You will apply analytics and AI to assess risk, controls and assurance activities for SSE, an energy company investing in electricity infrastructure.

You will work with Generative AI, LLMs, OpenAI, LangChain, Hugging Face, PyTorch, TensorFlow, FastAPI, Streamlit, and cloud platforms (AWS/GCP/Azure). You will design and deploy GenAI solutions—including RAG pipelines, fine-tuning, and prompt engineering—for enterprise use cases such as customer service, document automation, and knowledge retrieval on the Data Science Team at a global data and AI company.

A Core AI Engineer at LSEG designs, develops, and deploys enterprise-grade AI products and services, building agentic workflows, RAG solutions, and scalable integrations with LLMs and vector databases. The role leads technical implementation across AI initiatives, mentoring engineers and defining solution architecture. The team is transforming how LSEG operates by using AI to improve service resilience, automate workflows, and accelerate engineering productivity.

Provide application support for Charles River IMS, troubleshooting issues across investment workflows, system configurations, integrations, market data feeds, and databases (Microsoft SQL Server or Oracle). The product is an end-to-end enterprise investment management platform automating front and middle office functions for asset managers.

Senior People Data Analyst role using SQL, BigQuery, dbt, and Looker, with exposure to machine learning, AI, LLM tooling, and data observability. You’ll improve the People Analytics data ecosystem and build data products for a global payments company powering e-commerce transactions.

Lead a team building scalable cloud-hosted systems using Java, Python, ReactJS, AWS, and Google Cloud Platform. This engineering manager role owns technical stewardship for product mission teams within NatWest Boxed, a high-performing product engineering organisation. Direct reports include software and quality engineers across empowered squads.

Works with Apache configs, CLI tools, Chrome DevTools, Lighthouse, PageSpeed Insights, WebPageTest, Jira/Azure DevOps, HTML, CSS, JavaScript, and structured data. Leads Croud's Web Experience and Technical SEO capability, auditing and optimizing client sites for traditional search, AI summaries, and LLM interfaces, including migrations and

You’ll work with JavaScript, TypeScript, React, Next.js, Node.js, Python, WebGL/Three.js, Unity/Unreal/TouchDesigner, Generative AI/LLMs, ComfyUI, vector databases, and AWS/GCP/Azure. WPP Production is a global content production company delivering multi-channel content systems at scale. As technical leader, you’ll mentor and line-manage junior developers, though team size isn’t specified.

You will work primarily with JavaScript/TypeScript, React, and AWS, architecting full-stack apps alongside Node, Webpack, MobX, Redux, Spring Boot, and Kafka. As part of the Transaction Banking Digital Engineering team, you will lead the design and implementation of UI components for a scalable, cloud-based platform providing corporate cash management solutions via APIs, portals, and SWIFT. You will manage a group of engineers, contribute to the product roadmap, and drive engineering culture.

Lead design and development of large-scale software using TypeScript, JavaScript, Angular, Node.js, and Azure/AWS. Build modern, cloud-native applications for Verisk’s data and analytics platform that helps insurers make decisions. Provide technical guidance and shape architecture across multiple products and teams.

Platform Engineer role at Freetrade, working with Google Cloud infrastructure, Kubernetes, serverless, Terraform, and Node.js (TypeScript). The Platform Engineering Team builds foundational CI/CD pipelines, logging, observability, and security systems to support product, frontend, and data engineering teams.

Bloomberg★3.8 (1.1k)· London

Work in Go, C++, and Python on Bloomberg’s distributed OLTP storage platform, built with Vitess, MySQL, MyRocks, and RocksDB. The team operates over 10,000 MySQL shards serving petabytes of financial data, building custom read/write APIs and contributing fixes upstream. This hands-on role combines distributed systems and database internals.

Lead a team building an FX Risk valuation platform using Java, Apache Ignite, Apache Kafka/Solace messaging, MongoDB, Oracle, and Linux. The role involves designing microservices, in-memory data grids, and real-time data pipelines to replace legacy risk applications serving traders and sales.

TripAdvisor Experiences’ Android engineers work with reactive programming in native mobile platforms, touching code at every app-development level while also potentially contributing to backend microservices. The team builds and supports the world’s leading marketplace for travel experiences.

Build and streamline CI/CD pipelines using GitLab CI/CD, Helm, ArgoCD, and Terraform. Containerise and migrate workloads into Kubernetes and OpenShift, automating with Bash, Python, or Go across hybrid cloud environments (AWS, IBM Cloud, GCP, or Azure). You will complete a free 16-week course to develop mid-level skills before a potential client role.

Use cloud (AWS), AI, and machine learning to build and operate the funding trading systems for Goldman Sachs’ Corporate Treasury. You will lead the migration of multi-billion-dollar funding trades to best-in-class risk systems, working closely with traders and quantitative engineers.

Develop NatWest Boxed, a banking technology product, using Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/event sourcing. As a technical lead, you'll support junior engineers on core cross-functional mission teams. The listing doesn't specify team size.

Work with C#, Java, C++, and Python in an Agile environment. You will design, develop, test, and maintain software applications, collaborating with the design team to improve existing systems at John GmbH.

The role involves Python, pandas, OOP, SQL (PostgreSQL, Snowflake), CI/CD pipelines, git/GitHub, and GitHub Copilot, with JavaScript, Flask, or FastAPI helpful. You'll develop in-house fund management tools for the Index team at L&G Asset Management, analyzing portfolio performance and supporting data pipelines. L&G is a major global asset manager and UK financial services group.

Tesco★3.5 (25k)· London

Work with .NET/C#, Java, Cassandra, Docker, HAProxy, and Azure DevOps in a test-driven, DevOps culture. The payments service team delivers HTTP APIs handling 100M+ daily transactions and fraud detection for 28M+ shoppers.