Lead a small team of data and AI engineers using Python (Flask/Django), Pandas, and React.js on containerised, cloud-based systems (AWS/Azure). As a data and AI consultancy, QuantSpark turns strategy into working systems across financial services, retail, and other sectors. This client-facing role also owns team hiring and performance alongside technical direction.

You will design, build, and maintain data pipelines on Google Cloud Platform using BigQuery, Cloud Storage, Snowflake, SQL, dbt, and Python. As part of WPP Media’s global team, you will support its AI-driven media operating unit by transforming complex business requirements into reliable data assets for client analytics products.

Design product experiences across Superdrug’s website and mobile app using Figma, wireframing, prototyping, and design-system components. You will own UI/UX projects from problem definition through implementation, collaborating with developers, analysts, and product teams.

This role involves supporting the marketing and positioning of investment products, including long-only funds, ETFs, and private market solutions, across Europe. You will use Microsoft Excel and PowerPoint, and leverage AI tools to enhance productivity and workflows. You will analyze platform products, monitor commercial activity, and coordinate growth initiatives for Deutsche Bank Wealth Management.

Lead a global engineering team modernising Rates and Credit fixed-income front-office technology, architecting real-time, high-performance applications for pricing and trading workflows. You will design across the full stack, embedding AI in development, and oversee distributed, cloud-native pricing platforms. The role manages and develops a global team of senior engineers.

ServiceNow Architect using CSM, ITSM, ITOM, CMDB, TNI, IntegrationHub, JavaScript, Flow Designer, and TMF APIs to design and configure telecom BSS/OSS/Network solutions. The role leads ServiceNow implementation and integration for a consulting practice transforming telecom operator operations.

You'll work with the learning management system Thrive and use AI to design and deliver learning solutions. The team is part of Laminar Projects, a consultancy that implements technology for complex construction projects, and also develops construction management software. You'll own L&D projects end-to-end, partnering with stakeholders and facilitating learning sessions.

Excel financial modelling, VBA or Python coding, and emerging AI/LLM tools. The role is on LaSalle’s Debt and Value-Add Strategies team, which invests in real estate debt and value-add equity across Europe. The Portfolio and Loan Asset Management Team consists of six individuals.

The intern will use C++, Python, Java, R, and machine/deep learning techniques to build models for trading and sales activity. They will also help develop natural language understanding interfaces (speech-to-text/chat-to-systems) and work on projects like unsupervised classification and sentiment analysis within BNP Paribas’ Data & AI Lab.

The Senior Analyst will use Excel, data visualisation, forecasting, scenario analysis, market data and AI tools (Python optional) to produce geopolitical insight. The role leads coverage of the Americas for the Geopolitics Team, which briefs Tony Blair, senior TBI leadership, government principals and corporate clients on political, security and market risks.

The role uses data visualisation, forecasting, scenario analysis, market data, Excel, and AI tools (Python a plus). You will join TBI’s Geopolitics Team, providing decision-relevant geopolitical insight on China and Asia Pacific to senior public and corporate clients.

You'll work hands-on with REST APIs, Webhooks, SSO/SAML, Postman, iPaaS platforms (Workato, Boomi, Zapier, Make), and AI-assisted tools like Cursor, Replit, and Lovable, building custom integrations with NetSuite, Salesforce, Workday, ERPs, CRMs, and Snowflake. Rocketlane is a SaaS company automating customer onboarding and professional services for B2B firms. This role blends customer-facing consulting with internal engineering.

You will work with C, C++, or Rust and Python, applying machine learning, computer vision, sensor fusion, Kalman filtering, and SLAM. This role at Augur, a company transforming legacy sensors into real-time intelligence, involves integrating a counter-UAS initiative from prototype to trials in London.

You'll work with Python, PostgreSQL, MySQL, BigQuery, FastAPI, Flask, GCP/AWS, and CI/CD pipelines. You'll join the commercial performance insights squad to build data pipelines and event streams for monitoring algorithmic insurance underwriting, including Monte Carlo simulation.

You'll work with GA4, Google Merchant Center, and Excel/Google Sheets, with Python, JavaScript, PHP, or HTML also beneficial. As the autonomous SEO lead for Karen Millen, you'll drive organic traffic, optimize on- and off-page elements, and spearhead AI Optimisation (AIO) and Generative Engine Optimisation (GEO) strategies for the brand's website.

Develop ML and AI solutions using Python, SQL, and NLU, focusing on model development, data preparation, and experimentation for customer operations. The team builds production AI systems across the full ML lifecycle. NICE Ltd. provides customer experience and financial crime software to global businesses.

Synapri★0.0· London

You will use Python, SQL, PySpark, machine learning, NLP and Generative AI to build scalable data science solutions on an Insights team. The role involves transforming customer interaction data into insights, deploying models in Azure with CI/CD, and using tools like PyTorch, MLflow, DBT and Databricks.

Staff Machine Learning Engineer role at Sony Interactive Entertainment's Visual Computing Group, working with TensorFlow or PyTorch and Python for graphics and video processing. The team designs and deploys neural networks for game rendering and live streaming R&D. Requires 7+ years experience and publications at top-tier conferences.

You will work with Python, FastAPI, Postgres, Docker, and LLM agentic systems (prompting, tool-calling, RAG). Orbital is an agentic LLM platform answering operational and analytical questions for energy and heavy industry clients. This is a founding-level QA role with no stated team size.

Lead a team of three data scientists and three ML engineers using Python, Kafka, Spark, Flink, and on-device ML to transform phone sensor data (accelerometer, GPS) into driving-behavior models for fair insurance pricing and safety. The role owns the full telematics and pricing stack, reporting to the Director of Data.

Java, integration patterns, CI/CD, observability, and cloud-native services. Leads a team building and operating reusable build kits, deployment automation, and common integration platform services. Manages and coaches a multi-skilled engineering team.

You will work with Python or Go, Kong (Envoy or Apigee), RBAC/OIDC, MCP, and LLM providers including Anthropic, AWS Bedrock, and OpenAI. The team builds and runs the infrastructure connecting engineers and client workloads to multiple LLM providers, covering the inference control plane, orchestration tooling, and governance controls.

You work with Python or Go, API gateways (Kong, Envoy, Apigee), LLM providers (Anthropic, AWS Bedrock, OpenAI), RBAC/OIDC, and MCP patterns. The AI Platform Engineering team builds and runs the infrastructure connecting engineers and client workloads to multiple LLM providers—including the API gateway, orchestration/lifecycle tooling, and governance controls. As Principal, you set technical direction for the platform and act as a trusted extension of leadership.

Build production-grade generative and agentic AI using Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure, GCP, vector stores, SQL, Kubernetes, and CI/CD for the company’s product platform.

You'll work with Python, Braintrust, LangSmith, Arize, Weights & Biases, and CI/CD. The AI Engineering team builds eval and observability pipelines for production AI features — designing scoring pipelines, monitoring quality signals, and wiring eval gates into promotion paths.