Machine Learning Engineer

Radley James

London Area, United KingdomfulltimeFinancial Services and Technology, Information and Mediaposted
Unlock apply linkApply links and the original listing are a Pro feature: £4.99/mo or £25 once.
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 company is building an AI-native platform that automates complex workflows at scale and is looking for an experienced Machine Learning Engineer to help shape the next stage of its growth. What you'll be doing: * Build and deploy production-grade machine learning systems * Develop AI-powered workflows that solve complex real-world problems * Work closely with domain experts to translate business processes into intelligent automation * Improve model accuracy, scalability, and customer outcomes * Help shape the engineering culture as the team continues to grow * Collaborate directly with experienced founders in a fast-paced, high-impact environment What we're looking for: * Strong software engineering skills, ideally with Python * Commercial experience building and deploying machine learning models * Experience with modern AI technologies, including LLMs or GenAI, is highly desirable * Strong cloud experience (AWS, GCP or Azure) * Comfortable working in a fast-moving start-up environment * Passion for building products that deliver measurable business impact * Must have core ML fundamentals — evaluation and metrics in particular — alongside hands-on experience applying LLMs to real problems What's on offer: * Up to £150,000 base salary * Meaningful equity package * Office-based role in London * Opportunity to work directly with founders * Build AI products used in production from day one * Join a rapidly growing, venture-backed business with significant long-term potential If you're interested in building impactful AI products from the ground up, I'd be happy to share more details in confidence.