TensorFlow ML Engineer: Personalization & Recommenders

Arrows; Twickenham; On-site; GBP 50,000 - 75,000; Full time

Job summary

A cutting-edge technology company is seeking a Machine Learning Engineer to design, train, and optimise models for user personalisation. The ideal candidate should have expertise in TensorFlow and experience with GCP for deploying and maintaining ML models. Responsibilities include building scalable data pipelines, deploying ML models, and collaborating with cross-functional teams to align solutions with business goals. Strong communication skills and analytical abilities are essential for this role.

Qualifications

• End-to-end experience in the ML lifecycle: development, training, deployment, monitoring, maintenance.
• Strong proficiency in Python and ML frameworks.
• Experience with GCP services like Vertex AI, Dataflow, BigQuery.

Responsibilities

• Design, train, and optimise machine learning models for user personalisation.
• Build and maintain scalable data pipelines for feature engineering.
• Deploy, monitor, and maintain ML models in production environments.

Skills

Expertise in TensorFlow

Strong proficiency in Python

Experience with GCP machine learning services

Understanding of recommender systems

Hands-on with large-scale data processing

Communication skills

Analytical problem-solving

Tools

GCP

TFX

Kubeflow Pipelines

TensorFlow Serving

Job description

A cutting-edge technology company is seeking a Machine Learning Engineer to design, train, and optimise models for user personalisation. The ideal candidate should have expertise in TensorFlow and experience with GCP for deploying and maintaining ML models. Responsibilities include building scalable data pipelines, deploying ML models, and collaborating with cross-functional teams to align solutions with business goals. Strong communication skills and analytical abilities are essential for this role.