Senior AI Engineer

Senior AI / ML Engineer – 12‑month Fixed‑Term Contract, West London. Hybrid work model: onsite 2 days per week.

Responsibilities

• Design, train and optimise machine‑learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation and content analysis.
• Construct and maintain robust, scalable data pipelines for feature engineering and model training, handling both structured and unstructured large‑scale datasets.
• Deploy and supervise ML models in production, ensuring high availability, optimal performance and continued relevance.
• Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Collaborate with multidisciplinary teams to align machine‑learning initiatives with business objectives and user needs.
• Evaluate emerging research in machine learning, deep learning and personalisation for potential integration within existing systems.

Qualifications

• Demonstrated experience across the full machine‑learning lifecycle: model development, deployment, serving, monitoring and maintenance.
• Proficiency in Python and familiarity with ML libraries/frameworks such as TensorFlow and PyTorch.
• Experience with ML training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and model‑serving technologies (e.g., TensorFlow Serving, Triton, TorchServe).
• Knowledge of 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.
• Excellent communication and analytical problem‑solving skills.
• Preferred: experience working on OTT platforms; experience in Scala.

Location & Contract

West London – Hybrid. 12‑month Fixed‑Term Contract.

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