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Sigma Consulting Group

Open 48d

AI/ML Engineer

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Summary

The AI/ML Engineer will design and deploy production-grade machine learning systems for a healthcare procurement platform, focusing on computer vision, pricing engines, and predictive analytics. The role requires strong Python skills and experience with ML frameworks to build models that improve efficiency in the UK healthcare system.

AI/ML Engineer

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

About Zenrox

Zenrox Healthcare UK is redefining how healthcare organisations procure medical equipment through cutting-edge AI technologies.

Our flagship platform, ZenroxIQ, empowers NHS trusts and private hospitals with:

  • Visual equipment search

  • Intelligent price optimisation

  • Predictive procurement

  • Automated MHRA-compliant verification

We are driving efficiency, transparency, and cost savings across the UK healthcare system.


The Opportunity

This is a high-impact role for an AI/ML Engineer passionate about building real-world, production-grade systems.

You will design and develop the core intelligence layer of ZenroxIQ, including:

  • Computer vision models for equipment identification

  • AI-driven pricing engines

  • Predictive procurement algorithms

  • Automated compliance and verification systems

Your work will directly influence how healthcare providers source, evaluate, and purchase medical equipment at scale.


Key Responsibilities

  • Develop and optimise computer vision models for visual equipment search, including image recognition and specification extraction

  • Build dynamic pricing and optimisation algorithms for real-time benchmarking across suppliers and markets

  • Design and deploy predictive procurement models (60–90 day demand forecasting)

  • Implement supplier matching and ranking algorithms using performance scoring logic

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

  • Establish robust ML lifecycle processes (training, evaluation, monitoring, and continuous improvement)

  • Work with complex datasets including supplier catalogues, images, pricing data, and transaction history

  • Collaborate cross-functionally with engineering and product teams to deploy scalable, production-ready ML systems


What You Bring

  • Minimum 3+ years' hands-on experience developing and deploying machine learning models

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

  • Experience in computer vision, image recognition, or object detection

  • Background in recommendation systems, ranking models, or matching algorithms

  • Solid understanding of time-series forecasting and predictive analytics

  • Experience deploying and scaling ML models in production environments

  • Strong communication skills, with the ability to translate complex concepts to non-technical stakeholders


Preferred / Ideal Background

  • Experience in marketplace, e-commerce, or pricing optimisation platforms

  • Familiarity with NLP techniques for document or specification extraction

  • Exposure to healthcare, supply chain, or procurement systems

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

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


Why Join Zenrox

  • Work across multiple AI domains: computer vision, pricing, forecasting, and recommendation systems

  • See direct, measurable impact of your work on healthcare cost reduction and efficiency

  • Play a foundational role in shaping the company's AI strategy and architecture

  • Access rich, real-world healthcare datasets (structured and unstructured)

  • Earn meaningful equity in a fast-growing healthtech startup


How to Apply

Submit your CV, GitHub profile (or portfolio), and a brief summary of a relevant AI/ML project via:

Email Subject: AI/ML Engineer Application


Skills

Apply

See also

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