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  "job_title": "Senior Machine Learning Engineer in City of London",
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  "job_posted_at": "3 days ago",
  "job_publisher": "Energy Jobline",
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  "job_description": "Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.\n\nWe focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.\n\nJob Description\n\nSenior ML Engineer:\n\nUp to 115k\n\nXcede is partnering with one of Europe’s leading applied AI organisations.\n\nThe company collaborates with governments and major enterprises to address complex, high-impact challenges using machine learning and advanced data science techniques.\n\nOne of the standout aspects of this organisation is its reputation as a tech unicorn valued at over £1bn, recognised for delivering safe and practical AI solutions at scale.\n\nThey are currently looking to bring in Senior Machine Learning Engineers to join their Retail unit.\n\nThe ideal candidate will have experience working as an ML Engineer within the Retail sector.\n\nIn this role you will:\n\n• Design and deploy machine learning systems that operate in real-world production environments\n\n• Build scalable ML tooling and infrastructure to support the efficient development, testing, and deployment of models\n\n• Collaborate closely with data scientists, engineers, and business stakeholders to tackle key client challenges\n\n• Contribute to technical architecture decisions, ensuring ML systems are scalable, reliable, and effective\n\n• Establish and promote best practices for deploying ML systems at scale\n\n• Act as a technical advisor for clients and partners, translating complex ML concepts into practical solutions\n\nRequirements:\n\n• Strong understanding of the end-to-end machine learning lifecycle\n\n• Strong Python programming skills\n\n• Experience working with cloud infrastructure such as AWS\n\n• Hands-on experience with Docker and Kubernetes for scalable deployments\n\n• Solid grounding in machine learning concepts, statistics, and probability\n\n• Ability to communicate effectively with both technical and non-technical stakeholders\n\n• Comfortable working in fast-paced environments with ownership over delivering solutions\n\nIf you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861\n\nIf you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.",
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  "job_posted_at_datetime_utc": "2026-03-25T00:00:00.000Z"
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