ML Engineer — Personalization & Production Pipelines

HelloKindred; United Kingdom; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

HelloKindred is seeking a Machine Learning Engineer in the United Kingdom to design, train, and optimise models that power personalised user experiences. The role focuses on recommendation engines, ranking, and segmentation to deliver tailored content and insights.

You will build robust data pipelines, train models on large-scale datasets, deploy them in production, and run offline experiments to continually improve performance. Hybrid work setup and BPSS clearance apply.

Qualifications

• Bring strong experience developing and optimising machine learning models for user personalisation.
• Apply expertise across recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Possess experience constructing and maintaining scalable data pipelines for feature engineering and model training.
• Have experience working with both structured and unstructured large-scale datasets.
• Demonstrate experience deploying and supervising machine learning models in production environments.
• Bring a strong understanding of A/B testing and offline experimentation for evaluating model efficacy and driving continuous improvement.
• Apply knowledge of machine learning, deep learning, and personalisation research to identify opportunities for innovation.
• Collaborate effectively with multidisciplinary teams and align technical initiatives with business objectives and user needs.

Responsibilities

• Design, train, and optimise machine learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Construct and maintain robust, scalable data pipelines for feature engineering and model training using structured and unstructured large-scale datasets.
• Deploy and supervise machine learning models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

Job description

HelloKindred is seeking a Machine Learning Engineer in the United Kingdom to design, train, and optimise models that power personalised user experiences. The role focuses on recommendation engines, ranking, and segmentation to deliver tailored content and insights.

You will build robust data pipelines, train models on large-scale datasets, deploy them in production, and run offline experiments to continually improve performance. Hybrid work setup and BPSS clearance apply.