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6 devops jobs found in London

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Synapri
09/12/2025
Full time
Machine Learning Engineer
Synapri London, UK
Essential Skills Solid programming experience in Python Solid understanding of programming concepts, algorithms and cloud concepts Previous experience in solution design and knowledge of architecture frameworks and patterns Developing serverless pipelines in Azure, AWS or GCP (Azure preferred). Building data transformation pipelines using SQL and No SQL DB Building and maintaining CI/CD pipeline in Jenkins, Azure Devops or Github actions and ML Ops pipeline in Azure ML, Azure AI Foundry, SageMaker or Vertex AI. IaC – Bicep, ARM, Terraform Test driven development Having good understanding of different machine learning techniques and ability to explain the methods in detail (regression, clustering, decision trees, reinforcement learning, gradient boosting, CNN, RNN, LSTM, Attention Models, Encoder and Decoder, Transformers, Vector semantics) Previous experience in developing Gen AI applications. Ability to communicate technical concepts and analytical...
DraftKings
09/12/2025
Full time
Senior Machine Learning Engineer
DraftKings London, UK
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our team comprises algorithm experts and data science technologists, coming together to develop innovative data products that solve analytically challenging problems at DraftKings. As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact solutions that grow the business. WHAT YOU’LL DO AS A SENIOR MACHINE LEARNING ENGINEER Design and refine efficient...
Intent HQ
26/12/2025
Full time
AI Orchestration Architect
Intent HQ Kingsway, London SW14 7HL, UK
About Intent HQ About Intent HQRecognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (2022–2024), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue-chip international enterprise customer base, our mission is to become the world’s preeminent Customer Intent Engine by combining privacy-first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers. We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and...
ICEYE
26/12/2025
Full time
Senior Manager, Finance Automation & AI
ICEYE London, UK
Senior Manager, Finance Automation & AI Finance Poland / Finland / UK / Spain / Germany / Remote Reporting to FP&A Director Permanent Hybrid / Remote with travel Employment is subject to applicable security screening (incl. SUPO) The Mission of the Senior Manager, Finance Automation & AI ICEYE is a defence tech company built on advanced AI, rapid experimentation, and technical excellence. Finance must operate with the same ambition. The Senior Manager, Finance Automation & AI will play a key role in designing, prototyping, and deploying AI and automation solutions that meaningfully improve how Finance operates day-to-day. This role is hands-on and improvement-focused: you will identify high-value opportunities, build or support the development of automation solutions, and work closely with Finance teams to embed better, faster, and more controlled workflows. You will not have day-to-day operational responsibilities; instead, your mandate...
Verdantix
26/12/2025
Full time
AI/ML Data Engineer
Verdantix Bermondsey Street, London SE1 3UD, UK
Who we are... Verdantix's mission is to deliver independent, accurate, and actionable research and advisory services. We empower the world's most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their most important goals. The role... Within the Technology function, the AI/ML Engineer will be a core technical contributor responsible for building, maintaining, and evolving the Verdantix AI capabilities. The role will design and own backend system components essential to delivering a RAG model to downstream system components including an orchestration layer, hybrid search pipelines, embeddings, permission gatekept retrieval logic, summarisation layer, etc. Initially the AI/ML Engineer will collaborate closely...
Royal Bank of Canada
22/12/2025
Full time
Senior Associate, Data Governance & Quality
Royal Bank of Canada Smithfield Street, London EC1A 9LA, UK
What is the opportunity? The Data Governance & Quality, Senior Associate will support the successful delivery of Wealth Management Europe’s (WME) Data Governance capabilities and strategy. You will be responsible for capturing and managing business and technical metadata. Further responsibilities include the documentation of end-to-end lineage in Collibra, supporting business glossary work, implementing data quality controls and the management of data quality dashboards. RBC’s expectation is that all employees and contractors will work in the office with some flexibility to work up to 1 day per week remotely, depending on working arrangements. What will you do? Develop and implement an enterprise-wide data management framework (including data governance, metadata management and data quality), policies and standards. Establish and deploy the centralised data catalogue, centralised business glossary, data lineage capability, data profiling capability, data...
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