Morgan Stanley★3.8 (5.4k)· London

You'll work with core Java on UNIX/Linux, Git/Stash, Jenkins, JUnit, REST, TypeScript/Angular, low-latency messaging middleware, KDB/q, and FIX protocol. The role builds, deploys, and supports algorithmic trading strategies, analytical tools, and scalable trading engine infrastructure for automated systems in Equities. As a VP-level Lead, you'll manage multiple functions and guide junior staff.

Snowflake★3.7 (31)· London

Work with Python, SQL, and modern AI/LLM ecosystems including RAG, LangChain, Hugging Face, and PyTorch, supporting data warehousing, data lakes, and lake house architectures. As a Solution Engineer at Snowflake, you drive sales cycles, deliver demos, and run enterprise Proofs of Concept for the AI Data Cloud.

Snowflake★3.7 (31)· London

You'll work with Python, SQL, LangChain, Hugging Face, PyTorch, RAG, and modern data architectures (warehousing, lakes, lake house). As a Solution Engineer, you'll present Snowflake's AI Data Cloud, deliver demos and proof of concepts, and collaborate with sales and channel partners to drive adoption.

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.

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.

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.

Deutsche Bank★3.8 (3.5k)· London

You will work with Splunk (Indexers, Search Heads, Deployment Servers, Cluster Masters), Linux/Unix, containers, and monitoring tools like ITSI, AppDynamics, Prometheus, and Grafana. This PaaS team builds self-service shared platforms that host over 50% of Deutsche Bank’s application workloads.

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.

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.

Work across the full stack using Vue, TypeScript, JavaScript, Node.js, AWS, and various databases on a cutting-edge platform within a small, collaborative engineering team.

OpenAI★4.6 (9k)· London

Lead the Large Enterprise AI Deployment Engineering team for EMEA, using Generative AI/ML, cloud architecture and APIs to guide customer implementations into production. You will manage a team of technical ADEs, own the team's strategy, and serve as the primary technical escalation point for executive stakeholders.

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.

You'll work with Python, TypeScript, LLM-powered systems, AI agents, and data pipelines. This London AI startup builds an evaluation layer and platform for strategic finance teams to automate complex modeling and analysis. As founding engineer/CTO, you'll own the entire technical stack and architecture as the first engineering hire.

Work with JavaScript, Java, .Net, or Python, Git, Mercurial, Perforce, CI/CD tools such as Bamboo, Jenkins, TeamCity, or Bitbucket, SonarQube, and Automated Testing Frameworks on a DevOps team. You will develop and maintain applications and services for a global leader in digital intelligence, cyber, and security solutions, collaborating with National Security Customers on mission-critical systems.

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.

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.