Senior ML Engineer: Personalization & Production ML

Gofractional; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Gofractional is seeking a Senior/Expert ML Engineer to lead model development for personalised recommendations. You will design, train, and optimise models, build robust data pipelines, and deploy systems in production with monitoring and iteration based on experiments.

You will work in London with two days in the office weekly, collaborating across disciplines to advance personalised content and recommendations using cutting-edge ML techniques.

Qualifications

• Strong experience with ML training frameworks (TFX, Kubeflow) and model serving tech.
• End-to-end ML lifecycle: development, deployment, monitoring, maintenance.
• Proficiency in Python; knowledge of ML libraries (TF, PyTorch).
• Experience with high-volume data processing and real-time streaming.
• Understanding of recommender systems and personalisation.
• Familiarity with Generative AI for production use.
• Good communication and analytical problem-solving skills.

Responsibilities

• Design, train, and optimise ML models for user personalisation and ranking.
• Build and maintain scalable data pipelines for feature engineering and training.
• Deploy and monitor ML models in production for high availability.
• Lead A/B testing and offline experiments to evaluate efficacy.
• Collaborate with cross-functional teams to align ML with business goals.
• Evaluate emerging research for potential integration.

Skills

Python

TensorFlow

PyTorch

Generative AI

Communications

Analytical problem-solving

Tools

Kubeflow Pipelines SDK

TensorFlow Serving

TorchServe

Triton

Scala

Job description

Gofractional is seeking a Senior/Expert ML Engineer to lead model development for personalised recommendations. You will design, train, and optimise models, build robust data pipelines, and deploy systems in production with monitoring and iteration based on experiments.

You will work in London with two days in the office weekly, collaborating across disciplines to advance personalised content and recommendations using cutting-edge ML techniques.