The MLOps Engineer role is with CoreWeave, an AI cloud platform company providing infrastructure and tools for building and scaling AI. The listing does not mention specific technologies, frameworks, or tools, nor does it describe a particular project or team scope.

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.

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.

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.

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.

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 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.

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.

Capgemini★3.7 (11k)· London

Business Analysts work with SAP, Informatica, IBM, and Oracle to deliver enterprise data management, governance, compliance, and AI/ML solutions within Capgemini’s Insights and Data unit.

International SOS★3.4 (566)· London

Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure/GCP, vector stores, SQL, Kubernetes, and Git. You will build production-grade generative and agentic AI solutions—RAG pipelines, multi-step agents, and predictive models—for the company’s product platform.