Imperial College London★4.2 (238)· London

You will work with R, Python, Stata, or SAS, plus SQL and cloud-based or high-performance computing. The role uses large-scale real-world datasets to investigate metabolic dysfunction in type 1 diabetes and develop clinical risk prediction models. You join the multidisciplinary Misra Group within Imperial’s Department of Metabolism, Digestion and Reproduction.

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 Azure services, while implementing CI/CD with Terraform, GitHub Actions, or Jenkins. The role involves driving data strategies, mentoring engineers, and enabling AI-driven solutions with Databricks ML/MosaicML.

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.

Support production and demo trading exchange environments using Linux, Bash, Python, SQL, and relational databases. Work with tools like Grafana, Zabbix, Splunk, Kafka, AMQ, Tomcat, and AWS (EC2, CloudWatch, S3) on the Nadex regulated derivatives trading exchange team.

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.

Wise seeks a Senior Data Engineer to join the Scalable Growth team. You will work with Python, dbt, Airflow, Kafka, and Trino/Iceberg to build and maintain data pipelines, a Customer Data Platform, and marketing infrastructure. The role involves bridging engineering and analytics while coaching other engineers.

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.

Senior Robotics Engineer at Fujitsu in London. Role involves owning embodied integration for manipulation using ROS 2, and leading real-robot adversarial experiments. Responsibilities include building contact-rich experimental tasks, integrating force/torque sensing, defining safe operating envelopes, and creating reproducible real/sim scenarios, requiring deep ROS 2, Python, and C++ skills.

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.

You will work with Python (FastAPI), AWS, LLMs (OpenAI, Gemini, Anthropic), RAG, agentic workflows, MCP servers, and CI/CD pipelines. This player-coach role leads a squad building AI-driven solutions for BCG’s internal products and processes, delivering GenAI applications while cultivating engineering talent.

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.