Hybrid ML Engineer - Personalization & Production

SmartRecruiters, Inc.; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

HelloKindred in London is seeking an ML Engineer to design, develop, optimise, and deploy machine learning models focused on user personalisation, supporting recommendation engines, ranking algorithms, user segmentation, and content analysis.

The role involves building scalable data pipelines, deploying models in production, and leading A/B tests, with a hybrid work setup (2 days in office) and BPSS clearance requirements. Collaboration with multidisciplinary teams will drive business outcomes.

Qualifications

• Bring strong experience developing ML models for user personalisation.
• Experience with recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Experience constructing and maintaining scalable data pipelines for feature engineering and model training.

Responsibilities

• Design, train, and optimise ML models for user personalisation including recommendation engines and ranking.
• Construct and maintain scalable data pipelines for feature engineering and model training.
• Deploy and monitor ML models in production ensuring high availability and performance.
• Lead A/B tests and offline experiments to evaluate model efficacy.
• Collaborate with multidisciplinary teams to align ML initiatives with business goals.

Skills

Machine learning

Personalisation

Recommendation engines

A/B testing

Data pipelines

Job description

HelloKindred in London is seeking an ML Engineer to design, develop, optimise, and deploy machine learning models focused on user personalisation, supporting recommendation engines, ranking algorithms, user segmentation, and content analysis.

The role involves building scalable data pipelines, deploying models in production, and leading A/B tests, with a hybrid work setup (2 days in office) and BPSS clearance requirements. Collaboration with multidisciplinary teams will drive business outcomes.