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For Companies At a Glance
- Tasks: Build AI capabilities for healthcare procurement, impacting efficiency with innovative tech.
- Company: Join Zenrox, a pioneering healthtech startup transforming medical equipment procurement.
- Benefits: Competitive salary, equity stake, and the chance to shape AI strategy.
- Why this job: Work on diverse AI challenges and see your models make a real difference.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with computer vision.
- Other info: Dynamic hybrid or remote work environment with excellent growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Location: London (Hybrid) or Remote (UK-based)
Salary: £60,000+ equity
About Zenrox
Zenrox Healthcare UK uses AI to transform medical equipment procurement. Our ZenroxIQ platform serves NHS trusts and private hospitals with visual equipment search, intelligent price optimization, predictive procurement, and automated compliance verification.
The Opportunity
Build the AI capabilities that power ZenroxIQ. You will develop computer vision for equipment identification, machine learning for price optimization, and predictive models for demand forecasting—directly impacting procurement efficiency across UK healthcare.
What You Will Do
- Develop visual equipment search using image recognition and specification extraction
- Build price optimization algorithms for real-time market benchmarking
- Create predictive procurement models (60-90 day demand forecasting)
- Implement supplier matching algorithms with performance scoring
- Integrate third-party AI services (OpenAI, Google Vision API)
- Establish model monitoring, evaluation, and continuous improvement processes
- Work with structured and unstructured data from supplier catalogs and transaction history
What You Bring
- 3+ years hands-on experience with machine learning and AI development
- Strong Python skills with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience with computer vision or image recognition systems
- Practical knowledge of recommendation systems or matching algorithms
- Understanding of time series forecasting and predictive analytics
- Ability to deploy models to production and monitor performance
- Strong communication skills to explain technical concepts to non-technical stakeholders
Ideal Background
- Experience with marketplace, e-commerce, or pricing optimization systems
- Familiarity with NLP for document/specification extraction
- Background in healthcare, supply chain, or procurement analytics
- Experience integrating commercial AI APIs (OpenAI, Google Cloud Vision)
- Knowledge of A/B testing and experimentation frameworks
Why Join Zenrox
- Work on diverse AI problems: computer vision, pricing, forecasting, matching
- See direct impact of your models (cost savings, time reduction, accuracy improvements)
- Opportunity to shape AI strategy as founding ML engineer
- Access to rich healthcare procurement dataset
- Equity stake in growing healthtech startup
To Apply
Send your CV, GitHub profile (or portfolio), and brief description of your most relevant AI/ML project to careers@zenroxmed.co.uk with subject line "AI/ML Engineer Application - [Your Name]"
AI/ML ENGINEER employer: Zenrox
Contact Detail:
Zenrox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML ENGINEER
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to computer vision or predictive models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. Be ready to explain your projects and how they relate to the role at Zenrox—this is your chance to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Zenrox team and making a difference in healthcare procurement.
We think you need these skills to ace AI/ML ENGINEER
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and AI development. We want to see your strong Python skills and any relevant projects you've worked on, especially in computer vision or predictive analytics.
Showcase Your Projects: When you send us your GitHub profile or portfolio, pick out the projects that best demonstrate your skills in AI/ML. We’re particularly interested in anything related to image recognition or price optimisation, so make those shine!
Craft a Compelling Cover Note: In your brief description of your most relevant AI/ML project, be clear and concise. Explain what you did, the impact it had, and how it relates to the role at Zenrox. We love seeing your passion for AI and how you can contribute to our mission.
Follow Application Instructions: Don’t forget to use the correct subject line when applying! It helps us keep track of applications. Send everything to careers@zenroxmed.co.uk and make sure you include all the required documents. We can’t wait to hear from you!
How to prepare for a job interview at Zenrox
✨Know Your Stuff
Make sure you brush up on your AI and ML knowledge, especially around computer vision and price optimisation. Be ready to discuss your hands-on experience with frameworks like TensorFlow and PyTorch, as well as any relevant projects you've worked on.
✨Showcase Your Projects
Prepare to talk about your most relevant AI/ML project in detail. Highlight the challenges you faced, the solutions you implemented, and the impact your work had. This is your chance to shine, so make it count!
✨Understand the Company
Do a bit of homework on Zenrox and their ZenroxIQ platform. Familiarise yourself with how they use AI in healthcare procurement. This will not only help you answer questions but also show your genuine interest in the role.
✨Communicate Clearly
Since you'll need to explain technical concepts to non-technical stakeholders, practice simplifying complex ideas. Use clear examples and avoid jargon where possible. Good communication can set you apart from other candidates!