European Bank for Reconstruction and Development★3.7 (37)· London

The role works with SaaS, low/no-code platforms, Microsoft Power Platform, Adobe Experience Manager, Azure services, Microsoft Entra, APIs, middleware, and event-driven architectures. The architect designs end-to-end solutions for systems across Information Management, Knowledge Management, Risk, and Communications functions at the European Bank for Reconstruction and Development. No team size is stated.

You will execute A/B tests, multivariate tests, and personalisation campaigns using platforms like Optimizely, VWO, and Adobe Target, working with analytics suites such as Google Analytics 4 and Adobe Analytics, plus CMS and CDP tools. The role drives daily execution of the Rapid Iteration & Optimisation framework, collaborating with Paid Media, CX, and Development teams to deliver performance-enhancing site updates.

Works with A/B testing tools (Optimizely, VWO, Adobe Target), analytics (GA4, Adobe Analytics) and CDPs (Segment, Tealium), plus basic HTML, CSS, JS. Executes daily high-velocity site optimisation and continuous improvement for global clients within WPP Enterprise Solutions, collaborating with Paid Media, CX, and Development teams.

You will create mathematical models for casino games, using Monte Carlo simulation tools, Excel, and programming, with OOP and Java knowledge beneficial. You own the end-to-end math design for slot titles, working with Product Owners, Developers, and the Commercial Team to deliver mobile-optimised online casino games. You may later manage a small team of junior mathematicians.

WPP Media★4.0 (1)· London

This Senior Data Engineer role builds scalable data pipelines and infrastructure using GCP (BigQuery, Cloud Storage), Snowflake, SQL, DBT, and Python, and supports Power BI integrations. The team delivers data foundations for analytics products at WPP Media, WPP's AI-driven media operating unit, enabling creative personalisation at scale.

Superdrug★3.3 (3k)· London

Design polished, accessible, development-ready digital experiences for Superdrug’s website and mobile app using Figma (including components, variants, and design system patterns). Own product-design projects from problem definition through wireframing, prototyping, and high-fidelity UI, collaborating with developers, product teams, and analytics.

You will lead the Class IIa medical device certification (MDR/CE) for Bookable Navigator, an AI-driven care navigation and appointment booking system integrated with the NHS. You will own the technical file, post-market surveillance, and evidence generation, working within the Clinical Team (2 CSOs and 1 regulatory lead).

Legora★0.0· London

You will use Python, data analysis, surveys, interview protocols, and dashboards to study how lawyers and legal teams build proficiency with AI tools. The AI Transformation & Applied Research team turns this evidence into actionable recommendations for product, customer enablement, and go-to-market at Legora, an AI-native legal workspace.

BNP Paribas★3.8 (5.1k)· London

The intern will use Machine Learning, Deep Learning, Natural Language Understanding, Speech to Text, and languages including C++, Python, Java, and R. The Data & AI Lab builds models for trading and sales, develops NLU interfaces, and conducts research on market participant classification, sentiment analysis, and market making.

The role involves Excel, data visualisation, forecasting, scenario analysis, market data analysis, and AI tools (Python a plus). The analyst will join TBI’s Geopolitics Team, covering the Americas and briefing senior leaders and corporate clients on geopolitical developments. The global institute advises governments on strategy, policy, and delivery.

The role involves data visualisation, forecasting, scenario analysis, market data analysis, Excel and AI tools. The Geopolitics Team provides decision-relevant geopolitical insight to senior public and corporate leaders. The analyst will focus on China and Asia-Pacific, producing briefings and analysis.

You will work with Python, FastAPI/Flask, PostgreSQL, MySQL, BigQuery, GCP and/or AWS, and IAC/CI/CD tools to build production-grade data pipelines and MLOps infrastructure. You’ll join Ki’s commercial performance insights squad to upgrade algorithm decision data to a versioned event stream and support a Monte Carlo simulation engine for an algorithmic insurance carrier. The role is in an agile, cross-functional squad.

Synapri★0.0· London

You will use Python, SQL, PySpark, NLP, GenAI, and Azure with CI/CD to build end-to-end data science solutions. As part of a customer’s Journey Insights team, you will transform structured and unstructured customer interaction data into insights and production-ready models using machine learning, NLP, and generative AI.

Capgemini★3.7 (11k)· London

Lead Guidewire ClaimCenter, PolicyCenter, and BillingCenter implementation using Gosu, PCF, Rules, Data Model Extensions, APIs, REST/SOAP, Java Spring Boot, AWS, Azure, CICD, Git, and Jenkins. The team delivers solutions for Property & Casualty and London Market insurers.

Build and run an AI platform connecting workloads to LLM providers (Anthropic, AWS Bedrock, OpenAI) using Python/Go, API gateways (Kong, Envoy, Apigee), RBAC/OIDC, and MCP patterns. The team owns the gateway, orchestration, and governance layers. As Principal, you set technical direction across CreateFuture, an AI-native consulting partner.

Work with Python or Go, API gateways (Kong, Envoy, Apigee), and multiple LLM providers (Anthropic, AWS Bedrock, OpenAI). Build and run the infrastructure connecting engineers and client workloads to those providers, including the API gateway, orchestration, lifecycle tooling, and governance controls.

Build and run the API gateway, routing layer, and orchestration tooling connecting engineers to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI) using Python or Go, Kong, and RBAC/OIDC. You will own delivery of key platform components—from the inference control plane to the capability marketplace and governance controls.

Arup★4.0 (352)· London

You will lead AI advisory consulting using data and AI technologies, shaping strategy, governance, and investment decisions for clients across the built environment (Cities, Energy, Water, Transport). This senior role focuses on client engagement, business development, and thought leadership within Arup’s UK, India, Middle East, and Africa region, operating through influence rather than direct line management.

Cognizant★3.8 (17k)· London

Work with ServiceNow modules (CSM, ITSM, ITOM, CMDB, TNI), IntegrationHub, TMF APIs, NowAssist/GenAI, JavaScript, Flow Designer, REST/SOAP, and MID Server. Lead solution design and implementation for telecom BSS/OSS/Network environments.

NiCE★3.4 (30)· London

Develop machine learning and AI solutions using Python, SQL, NLU, and NLP. Build, evaluate, and improve models and pipelines for customer operations, working with text and structured data. Implement and evaluate new techniques across the full ML lifecycle.

UST★3.7 (1k)· London

You will design and build agent-based AI systems using Python, LangChain, LlamaIndex, and AWS, focusing on multi-agent orchestration, RAG pipelines, and LLM-powered application backends. At UST, a digital transformation solutions provider, you will deliver production-grade, agent-based AI solutions integrated into complex enterprise environments.

JMAN Group★0.0· London

You will work with Excel, PowerPoint, Tableau or Power BI, SQL, Python, or Alteryx, with a grounding in data science or AI beneficial. JMAN delivers data-driven solutions for private equity funds, including due diligence, core reporting, Data & AI advisory, and value creation. You will lead complex client workstreams end-to-end, guiding global delivery teams and developing junior consultants.

You'll work with Python, FastAPI, Postgres, Docker, SQL, LLM tool-calling/agentic loops, RAG, and observability tooling like MLflow, building evaluation frameworks and test harnesses for LLM-as-judge and monitoring. The role owns inference quality for Orbital, an agentic LLM platform answering operational questions for energy and heavy-industry clients.

International SOS★3.4 (566)· London

Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure/GCP, vector stores, SQL, Kubernetes, and Git. You will build production-grade generative and agentic AI solutions—RAG pipelines, multi-step agents, and predictive models—for the company’s product platform.

Zaizi★4.0 (5)· London

Quantize and deploy open-source SLMs (Gemma 3, Llama 3) and vision-language models using LiteRT/TFLite, ONNX Runtime, and ExecuTorch. Design knowledge graph pipelines and on-device graph databases in Python, Rust, or C++, and build MLOps pipelines for air-gapped environments. The team delivers deterministic, explainable, human-in-the-loop AI decision-support tools for UK Defence intelligence users.