Machine Learning Team Lead
Listed on 2026-06-13
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
What you'll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low‑latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.
- Model Development:
Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. - Data Pipeline Engineering:
Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large‑scale datasets. - Production Deployment:
Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. - Experimentation:
Design and analyse A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. - Cross‑Functional
Collaboration:
Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. - Research & Innovation:
Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.
- Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
- Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., Tensor Flow, PyTorch).
- Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (e.g., Tensor Flow Serving, Triton, Torch Serve).
- 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.
- Exceptional communication and analytical problem‑solving skills.
- Proven successful experience in mentoring less experienced engineers to improve their technical skills.
We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.
The rewards- Sky Q, for the TV you love all in one place
- The magic of Sky Glass at an exclusive rate
- A generous pension package
- Private healthcare
- Discounted mobile and broadband
- A wide range of Sky VIP rewards and experiences
Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
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