ML Engineer

We're hiring on behalf of a Haystack partner!

The Role

• Design, train, and optimise machine learning models focused on user personalisation, recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Construct and maintain robust and scalable data pipelines for feature engineering and model training.
• Deploy and supervise ML models in production environments, ensuring high availability and optimal performance.
• Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy.
• Engage with multidisciplinary teams to align machine learning initiatives with business objectives.
• Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration.
  
  

What You'll Need

• Demonstrated expertise in the full lifecycle of machine learning, from model development to monitoring and maintenance.
• Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch).
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
  
  

What's On Offer

• Hybrid working model with 2 days a week onsite.
• Sky Q and Sky Glass at exclusive rates.
• Generous pension package and private healthcare.
• Discounted mobile and broadband services.
  
  

Apply via Haystack today!