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. Were building AI that bridges this gap - connecting the right resources to the right people at the right time.
Weve already helped companies across 25+ countries create measurable improvements in employee wellbeing. Now were building the platform that can scale this impact globally.
The Role
Youll be our first technical hire, building AI systems that match employees with personalized wellness interventions. Youll 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 Youll 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 Youll 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 Were 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