Verkada★3.1 (18)· London

You'll work with TCP/IP, DNS, DHCP, routing/switching, APIs, Python, and Linux. Verkada provides an AI-powered platform for video security, access control, and IoT devices. As a Solutions Engineer, you'll support sales by designing security systems and becoming a trusted technical advisor to customers.

Barings★3.8 (43)· London

This Senior Associate role on the Quantitative & Risk Analytics team uses Python, SQL, Excel, and PowerBI to build and maintain quantitative ESG overlays for Barings’ public and private portfolios. You will produce ESG analytics and reporting, develop portfolio overlay strategies for decarbonization mandates, and partner with data vendors and internal teams to improve data quality.

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 statistical software for data analysis in the MFI study, a clinical trial comparing modafinil with placebo for fatigue in people with inflammatory bowel disease. The role involves recruiting patients across London hospitals, leading follow-up visits, and managing the study database within the Department of Brain Sciences.

Imperial College London★4.2 (238)· London

You will work with R, Python, Stata, or SAS; SQL; cloud-based or high-performance computing; and Bayesian methods. The Misra Group uses large-scale real-world datasets to investigate metabolic dysfunction in type 1 diabetes and develop clinical risk prediction models for individualised care.

Fujitsu★3.6 (2.4k)· London

You will integrate manipulator stacks in ROS 2, using Python and C++ for control, motion planning, force/torque sensing, and hardware reliability. The project builds the first holistic vulnerability scanner for physical AI systems, evaluating embodied AI under controlled perturbations across sensing, language-conditioned control, and contact dynamics.

ZS Associates★3.5 (460)· London

Work with Python, R, SQL, or cloud technologies to analyze scientific, clinical and commercial data and support drug discovery decisions. You help pharmaceutical and biotech clients design R&D strategies, accelerate innovation and improve drug development processes as part of ZS's R&D and Drug Development team.

Bounteous★3.5 (80)· London

You will work with Linux, Bash, Python, SQL, Grafana, Zabbix, Splunk, Logic Monitor, Kafka, AMQ, Tomcat, FIX protocol, and AWS (EC2, CloudWatch, S3). Supporting Nadex, a regulated derivatives trading exchange, you will ensure stability and performance of production and demo trading environments.

Imperial College London★4.2 (238)· London

Postdoctoral Research Associate role using R, Python, Google Earth Engine, drone-based multispectral and LiDAR data, satellite Earth Observation products, and machine-learning methods. The ADAPTA project integrates tropical forest field ecology, plant functional traits, and biodiversity data with remote sensing to quantify ecosystem resilience. Position involves leading international fieldwork campaigns and coordinating with partners across Europe and the tropics.

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.

Imperial College London★4.2 (238)· London

You will develop machine-learning methods for protein design, using Python, deep-learning frameworks, and generative approaches such as diffusion and flow-based models. The work contributes to the ProteinCAD tool within the CADMUS consortium, which aims to create designed proteins as programmable scaffolds for organizing inorganic particles to manufacture advanced magnetic materials.

Morningstar★3.9 (185)· London

Work with Python, R, MATLAB, SQL, statistical and machine learning techniques, and AI. Build thematic and smart beta indexes for Morningstar’s Indexes New Product Development team, covering the full lifecycle from ideation to launch.

Broadstone Corporate Benefits★4.2 (9)· London

You will work with AI models, generative AI, automation tools, Microsoft 365 Copilot, Foundry, and Power Platform to build and deploy AI automation solutions. As AI Enablement Lead at a pensions, investments, and employee benefits consultancy, you own the use-case pipeline from discovery through delivery. The listing does not state the size of the team you would lead.

Chubb Insurance★3.7 (1.3k)· London

Lead the design and enablement of Chubb’s Finance, Risk, Actuarial, HR and Legal platform architectures. Work with Azure, GCP, Python, Angular, microservices, API mediation, and event bus models. Drive enterprise architecture modernization and AI-SDLC practices.

Capgemini★3.7 (11k)· London

You will work with ITIL 4, ServiceNow, Jira Service Management, Freshworks, Azure, AWS, Google Cloud, AI/automation and AIOps tools. As a consultant in Capgemini Invent’s Cloud Advisory unit, you support clients in modernising service management and operations through cloud, AI, and automation adoption.

You'll work with CI/CD pipelines, cloud platforms (AWS, GCP, Azure), Git workflows, APIs, and the command line, plus bonus tools like GitHub Actions, GitLab CI, and Kubernetes. As a post-sales technical advisor, you onboard, configure, and optimize CodeRabbit's Gen AI–driven code reviewer for commercial customers within their development workflows.

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.

In this Senior Data Engineer role on the Scalable Growth team, you will work with Python, dbt, Airflow, Kafka, Trino, and Iceberg to build high-volume streaming and batch data pipelines. The Marketing Platform team owns the data infrastructure, internal tools, and third-party integrations (e.g., Meta, Google) that power Wise’s global customer acquisition channels.

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.