Deliveroo★3.3 (1.5k)· London

Build production infrastructure for Generative AI at Deliveroo and DoorDash, leading design and architecture for real-time GPU serving, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) of open-weight LLMs and VLMs. Own the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution, while mentoring engineers and setting technical direction for a small, high-leverage centralized GenAI platform team.

You'll work with Python (pandas, OOP), SQL (PostgreSQL, Snowflake), CI/CD pipelines, Git, and GitHub. You'll develop and support in-house fund management tools that assist Fund Managers in managing funds for Legal & General's asset management division.

You will deploy ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data) to production environments, using Python, PyTorch, Pandas, fastAPI, Scipy, and Kubeflow. PhysicsX builds an AI-driven simulation software stack for engineering and manufacturing.

You will work with AWS, Kubernetes, Terraform, and observability tooling like Datadog to handle platform requests and incidents. As a member of a new Platform Support Engineering team, you will be the primary contact for engineering interactions across global clients on a 24/5 basis, owning investigations and improving tooling and processes.

JPMorgan★3.9 (20k)· London

You will work with Java, TypeScript, React, Scala, SQL and No-SQL databases on cloud-native platforms. As part of JPMorganChase’s Data Platforms team within the Chief Data & Analytics Office, you will engineer solutions in metadata, meta-modelling, distributed systems, domain-specific languages and interpreter design. You will provide technical guidance to the team.

Lead Cloud Engineers at Made Tech use AWS, Azure, GCP, Terraform, CloudFormation, Docker, Kubernetes, CI/CD, and languages like Python, Bash, and JavaScript. They help public sector organisations design, implement, and maintain secure, scalable cloud infrastructure. The role includes line managing and mentoring junior colleagues.

JPMorgan★3.9 (20k)· London

Senior Lead Software Engineer role on JPMorgan's Data Platforms team in the Chief Data & Analytics Office, working with Scala, Java, Cats Effect, and cloud-native technologies. The agile team builds secure, scalable technology products spanning metadata, meta-modelling, and distributed systems, with a focus on AI-assisted engineering and domain-specific languages.

Wise★3.5 (42)· London

You will work with Python, dbt, Airflow, Kafka, and Trino/Iceberg to build high-volume streaming and batch data pipelines. You will serve as the data architecture lead for the Marketing Platform team, building the data infrastructure that powers Wise’s global customer acquisition channels.

JPMorgan★3.9 (20k)· London

Lead Scala/Java Software Engineer on the Data Platforms team within JPMorgan Chase’s Chief Data & Analytics Office, leading an agile team to build scalable, secure technology products. Works with Scala, Java, Cats Effect, SQL/No-SQL databases, and AI-assisted development tools, focusing on metadata, meta-modelling, distributed systems, and domain-specific language design.

The role involves Python, PySpark, SQL, and cloud platforms like Microsoft Fabric, Databricks or Snowflake, building data lakes, warehouses, and pipelines with Git-based version control. You'll join a Group IT team delivering data engineering and business intelligence solutions for a tier one main contractor in the construction industry.

Python, TypeScript, React and PostgreSQL power this Senior Full Stack Developer role. The work involves building and owning a flagship AI platform that handles large-scale data processing, entity resolution and production AI workflows within a small, experienced engineering team.

LSEG★3.7 (403)· London

Core AI Engineer role at LSEG building enterprise-grade AI products using Python, LLMs, GenAI, agent frameworks, RAG architectures, vector databases, APIs, microservices, and cloud-native development (Azure preferred). The AI & Automation team transforms LSEG operations through AI, automation, and intelligent engineering, delivering scalable AI solutions. Requires designing architectures, MLOps, CI/CD, and technical leadership across AI initiatives.

Expedia Group★3.8 (1.2k)· London

This Machine Learning Scientist II role develops and optimizes ranking models using machine learning and GenAI for travel lodging search and recommendations. The position involves Python, common ML frameworks, A/B testing, and deploying models into production. You will work on the Lodging Search Ranking AI team, collaborating with analytics, product, and engineering to improve traveler experiences.

Trainline★3.9 (17)· London

You'll build data pipelines using Spark, DBT, SQL, Python, Airflow, and Terraform on AWS data lakes with Iceberg, Jenkins, and GitHub Actions. You'll create data marts and models for Trainline, a rail-ticket booking platform, working with BI developers and data scientists on dashboards, analytics, and machine-learning datasets.

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.

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.