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.

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.

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 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.

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.

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.

Build and run a platform team's API gateway (Kong, Envoy, or Apigee) and routing layer connecting engineers to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI). Use Python or Go to build orchestration, RBAC/OIDC access controls, caching, and governance tooling. The team builds the infrastructure—from inference control plane to a reusable capability marketplace.

You will work with n8n, GPT, Claude, Gemini, and other LLMs, using APIs, webhooks, SQL, Python, and JavaScript to build production-ready AI agents and automations. Geomiq operates a digital manufacturing platform connecting engineers with global partners, and you will automate workflows across Sales, Operations, Supply Chain, Finance, and Product teams as their first dedicated AI builder.

You will work with Java microservices, Spring Boot, Python, SQL, Snowflake, dbt, Airflow, LangChain, Sagemaker, and MLflow. The data science team builds ML solutions for risk-based decisioning, pricing, and operational automation in insurtech/fintech. This is a hands-on leadership role—you will lead and develop the team while setting technical standards.

Google★4.3 (6.2k)· London

Works with Python, Go, Java, C++, SQL/NoSQL, APIs, HTTP, LLM APIs, vector databases, Docker, Linux. As a Customer Engineer on Google Cloud, builds rapid prototypes and demos for customers during pre-sales, supporting technical validation for AI-native solutions.

You’ll work hands-on with React, JavaScript, Python, GCP, Terraform, Git, and AI/ML tooling. As part of ace, you’ll own the build-out and enterprise adoption of a leading global hedge fund’s in-house automated testing platform, with full-stack development, CI/CD, and governance. You’ll mentor a small QA function transitioning from manual testing.