AI/ML ENGINEER

Zenrox Healthcare Ltd; Greater London; Híbrido; GBP 54.000 - 66.000; Tempo integral

Benefícios oferecidos por esta vaga

Hybrid/Remote work

Equity stake

Resumo da vaga

Zenrox Healthcare Ltd in London (Hybrid) or Remote (UK-based) is building AI-powered procurement tools for NHS trusts and private hospitals. You will join as founding ML engineer to develop computer vision, pricing optimization, and predictive procurement models that directly impact procurement efficiency across the UK.

You'll work with real-world healthcare data, deploy models to production, and collaborate with cross-functional teams to deliver measurable cost savings and accuracy

Qualificações

• 3+ years hands-on ML/AI development.
• Strong Python 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.

Responsabilidades

• 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.

Conhecimentos

Python

Machine Learning

Computer Vision

Time Series Forecasting

Production Deployment

Communication

Ferramentas

TensorFlow

PyTorch

scikit-learn

OpenAI APIs

Google Vision API

Descrição da vaga

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