AI/ML ENGINEER
Sigma Consulting Group · London, United Kingdom ·
- Employment
- Full time
- Category
- ML ai
- Experience
- 3+ years
- Salary
- GBP 60,000 / year
Sigma Consulting Group · London, United Kingdom ·
Sigma Computing · New York City, NY
Sigma Computing · New York City, NY
Zinnia - Employee Referral · Noida, Uttar Pradesh, India
Insight Enterprises · TN,United States
The AI/ML Engineer will develop and deploy computer vision, pricing, and predictive procurement models for the ZenroxIQ healthcare platform. This role involves building production-grade ML systems using Python and various AI frameworks to optimize medical equipment procurement.
Location: London (Hybrid) (UK-based)
Salary: £60,000 + Equity
Department: Engineering
Job Type: Full-Time
Category: Hybrid
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 verificationdriving significant efficiency and cost savings across UK healthcare.
This is a high-impact role for an AI/ML Engineer passionate about building real-world applications. You will develop the core intelligence behind ZenroxIQcomputer 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.
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.
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.
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.
Experience integrating commercial AI APIs (OpenAI, Google Cloud Vision, etc.).
Knowledge of A/B testing, experimentation frameworks, and model experimentation pipelines.
Work across diverse AI domains: computer vision, pricing, forecasting, matching systems.
See direct, measurable impact of your work (cost reduction, speed, accuracy improvements).
Shape Zenroxs 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.
Submit your CV, GitHub profile (or portfolio), and a brief description of your most relevant AI/ML project via:
Email Subject Line: AI/ML Engineer Application [Your Name]
saris-ai · Toronto