Machine Learning Engineer

The Company WorkBliss is reinventing how workplaces support human wellbeing. Our mission is simple: use technology to create healthier, more productive work environments where people can thrive. Right now, millions of employees struggle with stress, burnout, and disconnection at work. We're building AI that bridges this gap - connecting the right resources to the right people at the right time. We've already helped companies across 25+ countries create measurable improvements in employee wellbeing. Now we're building the platform that can scale this impact globally. The Role You'll be our first technical hire, building AI systems that match employees with personalized wellness interventions. You'll architect ML pipelines from scratch and have complete technical autonomy. Tech Stack: • Backend: Python, FastAPI, PostgreSQL • ML: PyTorch, Hugging Face, scikit-learn • Infrastructure: AWS, Docker, Terraform • Data: Pandas, Apache Airflow for pipelines What You'll Build (First 6 Months) • Machine learning systems that power personalized workplace experiences • Data processing pipelines handling enterprise-scale datasets • Intelligent matching algorithms connecting people with relevant resources • Analytics infrastructure measuring real-world impact • API platform enabling seamless enterprise integrations What You'll Own • Complete ML architecture - you design it, you build it • Data strategy - how we collect, process, and use workplace signals • Technical hiring - interview and hire the next 2-3 engineers • Technology choices - pick the tools and frameworks we use What We're Looking For Must Haves: • 3+ years building production ML systems (not research) • Python expertise with ML frameworks • Experience with recommendation systems or personalization • APIs and data pipelines experience Nice to Have: • Healthcare/HR tech background • Startup experience (0→1 products) • NLP/text analysis experience Why Join Now • Real impact from day one: Your code will directly help people feel better at work • Complete technical ownership: No legacy code, build everything your way • Learning opportunity: Work with a domain expert who deeply understands the problem • Remote-first: Work from anywhere in UK/EU, quarterly team meetups in London Compensation • Salary: £95k-£110k (based on experience) • Equity: 0.8-1.2% (meaningful stake in something that matters) • Benefits: Top-tier health insurance, £2k learning budget, latest MacBook Pro • Time off: 28 days annual leave + bank holidays