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.

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 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'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.

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.

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.

JPMorgan★3.9 (20k)· London

Lead a team using C and C++, cloud native technologies, and enterprise AI-assisted development tools within the SDLC toolchain. This role is on the Commercial & Investment Bank eTrading team, building and enhancing market-leading technology products for electronic trading.

JPMorgan★3.9 (20k)· London

You'll develop production code and provide technical guidance within the Commercial & Investment Bank's eTrading team, using C and C++. The agile team builds and delivers market-leading technology products, and you'll drive adoption of AI-assisted engineering tools and practices.

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.

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.

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.

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.

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.

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.

Synapri★0.0· London

You will use Python, SQL, PySpark, NLP, GenAI, and Azure with CI/CD to build end-to-end data science solutions. As part of a customer’s Journey Insights team, you will transform structured and unstructured customer interaction data into insights and production-ready models using machine learning, NLP, and generative AI.

Capgemini★3.7 (11k)· London

Lead Guidewire ClaimCenter, PolicyCenter, and BillingCenter implementation using Gosu, PCF, Rules, Data Model Extensions, APIs, REST/SOAP, Java Spring Boot, AWS, Azure, CICD, Git, and Jenkins. The team delivers solutions for Property & Casualty and London Market insurers.

IQVIA★3.7 (2.7k)· London

This Senior AI Platform Engineer role at IQVIA uses technologies like AWS, CUDA, PyTorch, Slurm, and Kubernetes. The position defines and delivers the infrastructure strategy for the company’s Large Language Model programmes, ensuring research is transformed into production-ready AI systems for healthcare.

Cognizant★3.8 (17k)· London

Work with ServiceNow modules (CSM, ITSM, ITOM, CMDB, TNI), IntegrationHub, TMF APIs, NowAssist/GenAI, JavaScript, Flow Designer, REST/SOAP, and MID Server. Lead solution design and implementation for telecom BSS/OSS/Network environments.

NiCE★3.4 (30)· London

Develop machine learning and AI solutions using Python, SQL, NLU, and NLP. Build, evaluate, and improve models and pipelines for customer operations, working with text and structured data. Implement and evaluate new techniques across the full ML lifecycle.

You will test dynamic, non-deterministic LLM-based chatbot systems, working with conversational AI, RAG, and performance testing. This role is on a newly formed multidisciplinary team of 5 responsible for the conversational AI components across a WebApp.