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.

You'll work with OpenTelemetry, Kubernetes, cloud-native technologies, distributed tracing, and observability pipelines. Dash0 builds an OpenTelemetry-native, AI-centric observability platform. As a Commercial Solutions Engineer, you'll design proofs of concept, guide architecture, and deliver technical demos to customers.

Design and architect observability solutions using OpenTelemetry, Kubernetes, and cloud-native technologies. You'll act as a trusted technical advisor to enterprise customers, delivering Proofs of Concept and guiding architecture discussions for Dash0's AI-centric, OpenTelemetry-native observability platform.

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.

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 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.

This senior executive leads AXA XL’s end-to-end technology delivery, owning product engineering, cloud-native platforms, APIs, DevOps, CI/CD, SRE, and ITSM. They drive modernization, AI in engineering, and enterprise platform capabilities.

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.

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.