Kingfisher★3.8 (77)· London

Senior Implementation Analyst at Kingfisher, working with GA360, GA4, Google Tag Manager, Tealium iQ, JavaScript, Tealium EventStream, Google Marketing Platform, and Google Cloud. You will design and implement tagging and measurement strategies for digital platforms, partner with Product, Data, and Analytics teams to drive optimisation, and manage tracking across websites and mobile apps.

Databricks★3.0 (21)· London

You will work with Python, Scala, JavaScript/TypeScript, Apache Spark, and cloud ecosystems (AWS, Azure, GCP) to build production-grade data and AI solutions on the Databricks platform. In this hands-on role, you lead architecture and design decisions while embedding with customer teams to deliver end-to-end data pipelines, ML/AI models, and user-facing applications.

APL Logistics★3.3 (685)· London

You will work with Microsoft Fabric, Azure, Power Platform, ETL/ELT pipelines, APIs, and relational databases. This Regional Applications Team role manages data requests for EMEA and Americas, delivering data warehouses, pipelines, and automations for supply chain business users.

Design and build production-grade ML systems using MCP servers, recommendation systems, RAG pipelines, LLMs, and foundation models with Python, TensorFlow, PyTorch, FastAPI, and LangChain. You will own the end-to-end AI lifecycle for a sales data platform, deploying models into batch/real-time environments to drive forecasting, segmentation, and early warning systems. This role focuses on embedding context-aware intelligence into decision-making tools for business stakeholders.

You will work with Java, Spring, and MongoDB to build micro-services using Gitlab and DevOps practices. Your backend engineering role supports Goldman Sachs’ financial platforms for trading, sales, and asset management.

Goldman Sachs★3.9 (2.3k)· London

You will work on backend micro-service development using Java, Spring, and MongoDB. At Goldman Sachs, a global investment banking and securities firm, you’ll build scalable software, low-latency systems, and data-driven solutions for trading, sales, and asset management.

Head of Quality Engineering to own quality across the organisation, working with PHP, Kotlin, GO, Python, Typescript, React, React Native, GraphQL, Relay, PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6, Datadog, Sentry, Incident.io, Grafana, AWS, Docker, Kubernetes, RabbitMQ, Argo, Github, and Github Actions. The role will lead the use of AI (LLMs) for testing and will manage a team of approximately two Quality Engineers while being hands-on with code and CI pipelines. Lendable builds technology for consumer credit and savings products.

You will work with Microsoft Azure, Azure Data Factory, Talend, Power BI, Tableau, Python, Java, JavaScript, CI/CD tools, and AI tools like Claude. As part of a data and AI consultancy, you will design modern data platforms and build ETL/ELT pipelines for clients across various industries.

Design and build production-grade ML systems including MCP servers, recommendation engines, and RAG pipelines. Work with Python, LLMs, LangChain, FastAPI, PyTorch, Spark, SQL, vector databases, and AWS/GCP on a sales data platform to create chatbots, semantic search, and forecasting models. Own the full AI/ML lifecycle—from problem definition to deployment and monitoring—to drive sales strategy and decision-making.

Work with NetSuite, Shopify, Snowflake, SQL, dbt, Jitterbit (iPaaS), FTP/SFTP, EDI, SuiteQL, and occasionally JavaScript/HTML. You will build and maintain data pipelines and integrations connecting the company’s ERP, ecommerce, and reporting systems to ensure reliable data flow for finance, supply chain, and operations.

You will work with LLMs, generative AI, Python, JavaScript, React, HTML, CSS, Microsoft Azure, and DevOps tools (CI/CD, Git). You will design, build, and deploy AI applications that enhance productivity, automate workflows, and support business decision-making across a growing technology function.

LMAX Group★0.0· London

You'll work with Python, Terraform, Ansible, Kubernetes, Airflow, Meltano, DBT, Kafka, Redpanda, RabbitMQ, MySQL, Snowflake, Iceberg, and AWS to build high-performance data pipelines and real-time streaming systems supporting Business Intelligence at LMAX Group, a Forex and digital currency trading firm.

C3 AI★2.9 (7)· London

Work with the C3 AI Platform, Python, JavaScript, Java, Scala, MapReduce, and streaming to design, implement, and deploy machine learning, intelligent agents, and optimization solutions for enterprise AI applications. Assist customers in building applications on the C3 AI Suite.

You will work with dbt, Domo, Tableau, Power BI, Snowflake, BigQuery, Airflow, Dagster, and Prefect to design, build, and scale analytics‑ready data models and a greenfield analytics platform. You will deliver global data solutions for the PlayStation Partners Platform, supporting partners in developing and publishing games and content on PlayStation.

You'll develop Python-based analytics tools using FastAPI, Flask or Django alongside React, JavaScript/TypeScript, and Node.js, with Databricks and modern data lake architecture. The role supports a London Market insurer's exposure analytics team, building tools for underwriting decisions, portfolio optimization, catastrophe risk management, and AI-enabled solutions including natural language querying and agentic workflows. You'll collaborate across Data, Infrastructure, Claims, Pricing and Underwriting teams on exposure calculation engines using Open Exposure Data formats.

You'll work with Kotlin 1.7.20, Java, AWS, PostgreSQL, RabbitMQ, Docker, Kubernetes, GraphQL, and Gradle, building backend services for Lendable's fintech platform that delivers loans, credit cards, and car finance products. The ~80-person tech team builds and scales APIs, integrates new services, and supports product launches across UK and US markets. You'll contribute to design decisions and deliver elegant solutions across the platform's lending infrastructure.

You will work primarily with Kotlin 1.7.20, AWS, GraphQL, Postgres, RabbitMQ, Docker, and Kubernetes, building and integrating new APIs for a collections function and creating internal tools. Lendable is a UK fintech unicorn rebuilding consumer finance products—loans, credit cards, and car finance—with a tech team of around 80 people. You'll join a newly forming pod contributing to product launches and US expansion while participating in collaborative design forums across the business.

Databricks★3.0 (21)· London

You'll work with enterprise customers to design and deploy production data and AI solutions on the Databricks platform using Python, Scala, JavaScript/TypeScript, and Apache Spark across AWS, Azure, or GCP. The role spans end-to-end data engineering, ML/AI integration, and application development, requiring hands-on architecture leadership, CI/CD familiarity, and MLOps knowledge. You'll embed with customer teams, deliver reference architectures and custom implementations, and contribute reusable assets that influence the product roadmap.

Databricks★3.0 (21)· London

You will work with enterprise customers to design and deploy production data and AI solutions using Databricks, Apache Spark, and cloud platforms (AWS, Azure, GCP), writing code in Python, Scala, or JavaScript/TypeScript. The role spans full-stack development across data engineering, ML/AI integration, and application development, requiring deep distributed computing expertise and technical project delivery experience. You'll embed with customer teams, architect end-to-end systems, and contribute reusable assets that influence the product roadmap.

Databricks★3.0 (21)· London

You'll work with the Databricks platform using Python, Scala, JavaScript/TypeScript, and Apache Spark across AWS, Azure, or GCP to build production data and AI solutions for enterprise customers. You'll lead end-to-end architecture and implementation of data pipelines, ML/AI models, and applications while embedding with customer teams to guide adoption and deliver transformational impact. This customer-facing role requires technical project delivery expertise, MLOps knowledge, and ~20% travel to customer sites in EMEA.

Databricks★3.0 (21)· London

You will work with enterprise customers to build production data and AI solutions on the Databricks platform using Python, Scala, JavaScript/TypeScript, Apache Spark, and cloud services (AWS, Azure, GCP). The role spans end-to-end data engineering, ML/AI integration, and application development, requiring hands-on architecture design, technical project delivery, and 20% customer travel. Databricks provides a unified data intelligence platform trusted by Fortune 500 companies and over 10,000 organizations globally.