AI/ML ENGINEER 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 verificationdriving 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 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. 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.Experience integrating commercial AI APIs (OpenAI, Google Cloud Vision, etc.).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 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. How to Apply Submit your CV, GitHub profile (or portfolio), and a brief description of your most relevant AI/ML project via: https://www.zenroxmed.co.uk/jobs/ai-ml-engineer/ Email Subject Line: AI/ML Engineer Application [Your Name]

AI/ML ENGINEER

AI/ML ENGINEER

Location: London (Hybrid) (UK-based) Salary: £60,000 + Equity Department: Engineering Job Type: Full-Time Category: Hybrid

Location:Salary:Department:Job Type:Category:

About Zenrox

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 verificationdriving significant efficiency and cost savings across UK healthcare.

ZenroxIQ

The Opportunity

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 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.

Key Responsibilities

Key Responsibilities

• Develop and optimise visual equipment search models using computer vision, image recognition, and specification extraction.

Develop and optimise visual equipment search models using computer vision, image recognition, and specification extraction.

visual equipment search models

• Build price optimisation algorithms for real-time benchmarking across suppliers and markets.

Build price optimisation algorithms for real-time benchmarking across suppliers and markets.

price optimisation algorithms

• Design and deploy predictive procurement models (6090 day demand forecasting).

Design and deploy predictive procurement models (6090 day demand forecasting).

predictive procurement models

• Implement supplier matching algorithms with performance scoring and ranking logic.

Implement supplier matching algorithms with performance scoring and ranking logic.

supplier matching algorithms

• Integrate and orchestrate third-party AI services (OpenAI, Google Cloud Vision, etc.).

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.

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.

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.

Collaborate with engineering and product teams to deploy production-grade ML systems.

What You Bring

What You Bring

• 3+ years hands-on experience developing and deploying machine learning 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.

Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn.

PythonTensorFlow, PyTorch, scikit-learn

• Experience with computer vision, image recognition, or object detection.

Experience with computer vision, image recognition, or object detection.

computer visionimage recognitionobject detection

• Practical background in recommendation systems, ranking models, or matching algorithms.

Practical background in recommendation systems, ranking models, or matching algorithms.

recommendation systems, ranking models, or matching algorithms

• Strong understanding of time-series forecasting and predictive analytics.

Strong understanding of time-series forecasting and predictive analytics.

time-series forecasting

• Ability to deploy, scale, and monitor machine learning models in production environments.

Ability to deploy, scale, and monitor machine learning models in production environments.

• Excellent communication skills for explaining technical concepts to non-technical stakeholders.

Excellent communication skills for explaining technical concepts to non-technical stakeholders.

Ideal Background

Ideal Background

• Experience working on marketplace, e-commerce, or pricing optimisation systems.

Experience working on marketplace, e-commerce, or pricing optimisation systems.

marketplacee-commercepricing optimisation

• Familiarity with NLP techniques for document or specification extraction.

Familiarity with NLP techniques for document or specification extraction.

NLP techniques

• Background in healthcare analytics, supply chain, or procurement systems.

Background in healthcare analytics, supply chain, or procurement systems.

healthcare analyticssupply chainprocurement systems

• Experience integrating commercial AI APIs (OpenAI, Google Cloud Vision, etc.).

Experience integrating commercial AI APIs (OpenAI, Google Cloud Vision, etc.).

• Knowledge of A/B testing, experimentation frameworks, and model experimentation pipelines.

Knowledge of A/B testing, experimentation frameworks, and model experimentation pipelines.

A/B testing

Why Join Zenrox

Why Join Zenrox

• Work across diverse AI domains: computer vision, pricing, forecasting, matching systems.

Work across diverse AI domains: computer vision, pricing, forecasting, matching systems.

diverse AI domains

• See direct, measurable impact of your work (cost reduction, speed, accuracy improvements).

See direct, measurable impact of your work (cost reduction, speed, accuracy improvements).

direct, measurable impact

• Shape Zenroxs AI strategy as a founding ML Engineer.

Shape Zenroxs AI strategy as a founding ML Engineer.

founding ML Engineer

• Access to rich, structured and unstructured healthcare procurement datasets.

Access to rich, structured and unstructured healthcare procurement datasets.

healthcare procurement datasets

• Earn meaningful equity in a rapidly growing healthtech startup.

Earn meaningful equity in a rapidly growing healthtech startup.

equity

How to Apply

How to Apply

Submit your CV, GitHub profile (or portfolio), and a brief description of your most relevant AI/ML project via: https://www.zenroxmed.co.uk/jobs/ai-ml-engineer/ Email Subject Line: AI/ML Engineer Application [Your Name]

https://www.zenroxmed.co.uk/jobs/ai-ml-engineer/https://www.zenroxmed.co.uk/jobs/ai-ml-engineer/Email Subject Line:

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