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!