At a Glance
- Tasks: Develop AI models for healthcare procurement, optimising equipment search and pricing.
- Company: Join Zenrox, a pioneering healthtech startup transforming medical equipment procurement.
- Benefits: Competitive salary, equity options, hybrid work, and impactful projects.
- Other info: Be part of a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real difference in healthcare with cutting-edge AI technologies.
- Qualifications: 3+ years in machine learning, strong Python skills, and experience in computer vision.
The predicted salary is between 60000 - 60000 € per year.
Location: London (Hybrid) (UK-based)
Salary: £60,000 + Equity
Department: Engineering
Job Type: Full-Time
Category: Hybrid
About Zenrox
Zenrox Healthcare UK is transforming medical equipment procurement through advanced AI technologies. Our platform, ZenroxIQ, supports NHS trusts and private hospitals with visual equipment search, intelligent price optimisation, predictive procurement, and automated MHRA‑compliant verification driving significant efficiency and cost savings across UK healthcare.
The Opportunity
This is a high‑impact role for an AI/ML Engineer passionate about building real‑world applications. You will develop the core intelligence behind ZenroxIQ computer vision models for equipment identification, AI‑driven pricing engines, predictive procurement algorithms, and automated compliance intelligence. Your work will directly influence how healthcare organisations source, manage, and purchase medical equipment.
Key Responsibilities
- Develop and optimise visual equipment search models using computer vision, image recognition, and specification extraction.
- Build price optimisation algorithms for real‑time benchmarking across suppliers and markets.
- Design and deploy predictive procurement models (6090‑day demand forecasting).
- Implement supplier matching algorithms with performance scoring and ranking logic.
- Integrate and orchestrate third‑party AI services (OpenAI, Google Cloud Vision, etc.).
- Establish end‑to‑end model lifecycle processes including monitoring, evaluation, and continuous improvement.
- Work with diverse datasets including supplier catalogues, equipment images, pricing data, and transaction history.
- Collaborate with engineering and product teams to deploy production‑grade ML systems.
What You Bring
- 3+ years hands‑on experience developing and deploying machine learning systems.
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, scikit‑learn.
- Experience with computer vision, image recognition, or object detection.
- Practical background in recommendation systems, ranking models, or matching algorithms.
- Strong understanding of time‑series forecasting and predictive analytics.
- Ability to deploy, scale, and monitor machine learning models in production environments.
- Excellent communication skills for explaining technical concepts to non‑technical stakeholders.
Ideal Background
- Experience working on marketplace, e‑commerce, or pricing optimisation systems.
- Familiarity with NLP techniques for document or specification extraction.
- Background in healthcare analytics, supply chain, or procurement systems.
- Knowledge of A/B testing, experimentation frameworks, and model experimentation pipelines.
Why Join Zenrox
- Work across diverse AI domains: computer vision, pricing, forecasting, matching systems.
- See direct, measurable impact of your work (cost reduction, speed, accuracy improvements).
- Shape Zenrox’s AI strategy as a founding ML Engineer.
- Access to rich, structured and unstructured healthcare procurement datasets.
- Earn meaningful equity in a rapidly growing healthtech startup.
AI/ML ENGINEER employer: Sigma Consulting Group
Zenrox Healthcare UK is an exceptional employer for AI/ML Engineers, offering a dynamic hybrid work environment in London where innovation meets impact. With a strong focus on employee growth, you will have the opportunity to shape cutting-edge AI solutions that directly enhance healthcare procurement, while enjoying competitive salary packages and equity in a rapidly expanding healthtech startup. Join a collaborative culture that values your contributions and empowers you to make a real difference in the healthcare sector.
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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. This is your chance to demonstrate what you can do beyond just a CV—make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and practising common interview questions. Don’t forget to also prepare some questions of your own—showing curiosity about the company and its projects can really impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and genuinely interested in joining our team at Zenrox.
We think you need these skills to ace AI/ML ENGINEER
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with Python, ML frameworks, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to Zenrox's mission. Be specific about your experience in computer vision and predictive analytics – we love details!
Showcase Your Projects:If you've worked on any cool projects related to machine learning or healthcare, make sure to mention them. We’re interested in real-world applications, so don’t hold back on sharing your achievements!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Sigma Consulting Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Python and ML frameworks such as TensorFlow and PyTorch. Brush up on your knowledge of computer vision and predictive analytics, as these will likely come up during technical discussions.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've developed or deployed machine learning systems. Highlight how your work has made a tangible impact, especially in areas like pricing optimisation or healthcare analytics, as this aligns perfectly with what Zenrox is looking for.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or straightforward language to convey your ideas effectively, demonstrating that you can bridge the gap between tech and business.
✨Ask Insightful Questions
Prepare thoughtful questions about Zenrox’s AI strategy, the datasets you'll be working with, and the team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
