Work with Google Cloud, Kubernetes, serverless, Terraform, Node.js (TypeScript), and CI/CD pipelines. You'll join the Platform Engineering team at Freetrade, an investing platform, to treat the platform itself as a product—building the foundational infrastructure, observability, and security that Freetrade's own engineers rely on to ship.

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.

Atlassian★3.9 (61)· London

Leading a distributed EMEA team, you'll use Python, JavaScript, APIs, and microservices to build AI-powered solutions with generative AI, LLMs, and agent-based frameworks. The Forward Deployed Engineering team partners with top organizations to solve complex problems using Atlassian’s AI capabilities.

Junior C# and ASP.NET developers will use SQL, .NET Core/Framework, JavaScript and Azure to build a centralized SaaS platform for FX payments, helping financial institutions manage compliance, costs and cashflow.

AWS (Databricks, BigID, Oracle, PostgreSQL, MongoDB), Sparx EA, Erwin, Informatica, Kafka, MQ and Postman will be used. The role involves data architecture, modelling (canonical models, JSON/XSD schemas), ETL/ELT pipelines, and governance for an insurance domain. It includes leading multi-disciplinary teams and steering committees.

You will work with Azure, Adverity, SQL, Python, cloud services (Azure, GCP, AWS), data orchestration tools (Airflow, Prefect), Git, and visualization tools (Power BI, Tableau, Datorama). As a data engineer in a media activation team, you will build and maintain ETL pipelines and reporting platforms to deliver marketing intelligence for clients.

Working with Python, C++, and deep learning frameworks such as TensorFlow, PyTorch, or JAX, the role covers LLMs, deep learning optimization, reinforcement learning, and generative models. The research team applies AI to semiconductor design and optimization, alongside fundamental research supporting internal applications and the broader scientific community.

You’ll implement ML research ideas using Python or C++, alongside deep learning frameworks like TensorFlow, PyTorch or JAX. The team applies AI (including LLMs, reinforcement learning and generative models) to semiconductor design and fundamental research.

As a Node.js/TypeScript Engineer in Sainsbury's Martech domain, you'll work on the Multichannel Messaging Hub (MMH) team using JavaScript, TypeScript, Node.js, microservices, Kafka, Snowflake, Kubernetes, AWS Serverless, and Terraform. The team orchestrates campaign delivery across email

Work with Vue.js, React, Angular, JavaScript, HTML/CSS, Figma, and Agile (SCRUM/Kanban) to build reusable UI components and optimize performance. Join the TransPerfect TechOps team delivering the GlobalLink platform and client interfaces.

You'll work with Node.js, React, TypeScript, APIs, cloud platforms (AWS/Azure/GCP), and CI/CD tools. The role is on a product team building a high-traffic global eCommerce platform processing thousands of daily transactions, developing customer-facing features and improving performance.

Build features across Tab's Svelte/TypeScript front end and Python back end (FastAPI, Django), using PostgreSQL and AWS. The YC-backed travel fintech processes thousands of real-time payments per hour in 100+ currencies for 100,000+ tourism businesses.

Use Python (pandas, NumPy, SciPy, matplotlib/seaborn) and SQL with cloud-based data tools and large language models. Build predictive and statistical models to identify alpha signals from alternative data for a leading investment manager with a global presence.

The Machine Learning Engineer will work with Python, R, C++, TensorFlow, PyTorch, and scikit-learn to build and deploy predictive models. The role supports materials research in solidification, casting, and alloy development, applying ML to process optimization and industrial decision-making. The engineer collaborates with materials scientists to translate research questions into ML solutions.

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science, with Python, PyTorch, TensorFlow, and MLOps practices (CI/CD, experiment tracking, model registries). The role delivers model-driven insights for player performance, injury risk, and personalisation in live sports scenarios, while providing technical leadership and mentoring Senior and Mid-Level Data Scientists.

Build and manage WordPress sites with booking and payment systems, using Python, JavaScript/TypeScript, OpenAI APIs, LLMs, RAG, agentic workflows, SQL, dashboards, GA4, and Google Tag Manager. This role combines AI engineering with ecommerce at a company creating AI-driven digital commerce products to improve customer experience and business performance.

Build AI agents, workflows, and automations using LLMs, retrieval, tool calling, Python, TypeScript, and JavaScript. The role focuses on building AI-native systems for BJAK’s AI Neobank app, applying AI to financial workflows like onboarding, KYC, risk review, and operations.

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.

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.

You will lead the Class IIa medical device certification (MDR/CE) for Bookable Navigator, an AI-driven care navigation and appointment booking system integrated with the NHS. You will own the technical file, post-market surveillance, and evidence generation, working within the Clinical Team (2 CSOs and 1 regulatory lead).

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.

Legora★0.0· London

You will manage a portfolio of consulting and SI partner relationships across Europe, working with Legora's sales, engagement, and legal engineering teams to drive co-sell and co-delivery motions. Legora provides an AI-native workspace that analyzes legal documents and powers end-to-end workflows for over 1,000 law firm and corporate legal customers.

Legora★0.0· London

Owns Legora's partnerships with top European law schools, embedding its AI-native legal workspace into curricula and providing complimentary student licenses. Legora's product analyzes thousands of documents and powers end-to-end legal workflows; this is a founding role on the European partnerships team. No specific technologies or team-size figures are listed.