4 machine learning engineer opportunities in Sandy updated today
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Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance vi
About Lightsonic Lightsonic finds water leaks by turning telecoms fibre that's already in the ground into a sensing network. We work with water utilities across the UK and Europe to detect leaks that might otherwise run undetected for months — already saving millions of litres every day, and rising.
About Lightsonic Lightsonic finds water leaks by turning telecoms fibre that's already in the ground into a sensing network. We work with water utilities across the UK and Europe to detect leaks that might otherwise run undetected for months — already saving millions of litres every day, and rising.
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At Mindrift, innovation meets opportunity. We believe in using the power of collec
Job Description Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devic
RedTech RecruitmentMachine Learning Engineer A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologie
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defen
SundayyAbout The Company At Scale, our mission is to develop reliable and impactful AI systems that support the world's most critical decisions. We specialize in providing high-quality data, advanced full-stack technologies, and innovative solutions that empower enterprises and governments to build, deploy
Job ID: 2098Position: Machine LearningLocation: Milton KeynesSalary: 65k - 75k per year + packageJob Type: Full TimePosted: 2026-09-14Contact: Margaret PayneEmail: mpayne@thisisnoa.comPhone: 01908 010390Description Machine Learning Engineer Machine Learning Engineer - Remote UK - 75000 We are helpin
Job Title: Data Scientist/Machine Learning Engineer Location: UK Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Looking for candidates with Master's Degree Only What are we looking for? Here at Information Tech Consultants Ltd (ITC)
Machine Learning Engineer About the Company Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We're tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positi
Overview We are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking team. In this role, you will drive the development, deployment, and optimization of machine learning models that power cutting-edge solutions across diverse data-driven applications. Your expertis
Machine Learning Engineer If you’re an ML Engineer who enjoys shipping and running AI systems in production more than spending your days experimenting with models, this could be a very good fit. What’s in it for you? Work on AI and LLM systems that are genuinely running in production Own problems ac
£37,000 – £60,000/year
Estimation confidence: High
Estimate based on market data for Sandy. Actual salaries may vary depending on experience, company, and area.
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