AI/ML ENGINEER

zenrox; Greater London; Hybrid; GBP 54,000 - 66,000; Full time

Benefits offered by this job

Equity stake

Job summary

Zenrox Healthcare Ltd in London offers a hybrid/remote ML engineer role building AI for ZenroxIQ. You will develop computer vision for equipment identification, price-optimization models, and predictive procurement analytics impacting UK healthcare procurement.

The position requires 3+ years in ML/AI, strong Python and ML frameworks, and experience with production deployments. UK-based remote work is possible and equity is offered.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Machine learning

Python

Computer vision

Recommendation systems

Time series forecasting

Production deployment

Communication

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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'll 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'll 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