Machine Learning Engineer
New Today
Overview
WorkBliss isreinventing 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 ourfirst technical hire, building AI systems that match employees with personalized wellness interventions. You'll architect ML pipelines from scratch and have complete technical autonomy.
What You'll Build (First 6 Months)
- Machine learning systems that power personalized workplace experiences
- 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
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Engineering and Information Technology
Industries
- Human Resources Services
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- Location:
- United Kingdom
- Salary:
- £125,000 - £150,000
- Job Type:
- FullTime
- Category:
- Engineering