Cabot Credit Management is seeking an experienced Enterprise Data Architect to lead the development and evolution of our enterprise-wide data architecture, ensuring that data remains a strategic asset that enables business growth, innovation and informed decision-making. This role will provide archi
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
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
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
Machine Learning Engineer Imperial College AI & Robotics Spinout Location: x4 days in per week, London Salary: £90K + Bonus + Benefits + Meaningul Equity The Business This is a pre-Series A, seed-backed AI company working at the cutting edge of robotics. It was spun out of Imperial College Londo
We pull medical technology from the future to solve human health. Scarlet is authorised to assess and certify medical devices. We combine clinical, technical and regulatory expertise with AI agents and software so rigorous certification can keep pace with product development at the world’s most ambi
The Role: In this role you will work in the Platform team – a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key responsibilities: Own and advance a predictive modelling platform that scales across problem types and tenants, using i
Machine Learning Engineer £75,000 + £3,500 guaranteed bonus London | Hybrid - 1 day p/w in the office We're partnering with a leading consultancy that is investing heavily in AI and Machine Learning capabilities across multiple industries, helping clients solve complex business challenges through cu
About ExTrac ExTrac is a decision intelligence company used by public and private sector organisations operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable for
Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve
Machine Learning Engineer | AI Start-up | London | £90k–£150k + Equity Location: London (On-site) Salary: up to £150,000 + Equity We're partnering with a well-funded AI start-up that's transforming a traditional industry through machine learning and automation. Backed by leading investors, the compa
Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, cli
🚀 SENIOR MACHINE LEARNING ENGINEER | LONDON | £100k-£120k I’m working with a high-growth consultancy that’s looking to hire a Machine Learning Engineer to join their growing AI team. This is an opportunity for someone who wants to do more than build models in isolation. You’ll be working directly w
Full time
1 month ago
Estimated salary for Machine Learning in West Malling
£37,000 – £60,000/year
Estimation confidence: High
Estimate based on market data for West Malling. Actual salaries may vary depending on experience, company, and area.