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# AI/ML ENGINEER

- **Company:** Sigma Consulting Group
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £60,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Computer Vision, Health Informatics, Python (Programming Language), Machine Learning, Natural Language Processing, Object Detection, Recommender Systems, Tensorflow, Google Cloud, Pytorch, AI Platforms, Scikit Learn, Machine Learning Operations
- **Published:** May 21, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=2c7c59ba5e7cb132

## About the Role

* 3+ years hands-on experience developing and deploying machine learning systems.
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Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn.
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Experience with computer vision, image recognition, or object detection.
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Practical background in recommendation systems, ranking models, or matching algorithms.
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Strong understanding of time-series forecasting and predictive analytics.
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Ability to deploy, scale, and monitor machine learning models in production environments.
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Excellent communication skills for explaining technical concepts to non-technical stakeholders.

Ideal Background

 * Experience working on marketplace, e-commerce, or pricing optimisation systems.
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Familiarity with NLP techniques for document or specification extraction.
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Background in healthcare analytics, supply chain, or procurement systems.
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Experience integrating commercial AI APIs (OpenAI, Google Cloud Vision, etc.).
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Knowledge of A/B testing, experimentation frameworks, and model experimentation pipelines.

## Description

* Develop and optimise visual equipment search models using computer vision, image recognition, and specification extraction.
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Build price optimisation algorithms for real-time benchmarking across suppliers and markets.
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Design and deploy predictive procurement models (6090 day demand forecasting).
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Implement supplier matching algorithms with performance scoring and ranking logic.
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Integrate and orchestrate third-party AI services (OpenAI, Google Cloud Vision, etc.).
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Establish end-to-end model lifecycle processes including monitoring, evaluation, and continuous improvement.
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Work with diverse datasets including supplier catalogues, equipment images, pricing data, and transaction history.
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Collaborate with engineering and product teams to deploy production-grade ML systems.


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