1 час назад
Senior Data Scientist (AI)
60 000 - 70 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Building and deploying large-scale machine learning and recommender systems for BBC iPlayer, BBC Sounds, News, and Sport with an accent on information retrieval, scalable ML products, and production delivery. Focus on prototyping complex ML approaches, solving user and business problems with machine learning algorithms, and implementing robust model deployment and monitoring.
Location: Hybrid in Salford, Glasgow, Newcastle-upon-Tyne, or London, United Kingdom
Salary: £60,000–£70,000 per year, depending on relevant skills, knowledge, and experience.
Company
is a public media organisation delivering digital products including iPlayer, Sounds, News, and Sport.
What you will do
- Build and improve large-scale machine learning systems that personalise content recommendations for audiences.
- Develop and deploy information retrieval and recommender systems used across products.
- Prototype, experiment with, and implement technical approaches for complex ML solutions at scale.
- Apply machine learning algorithms to solve user and business problems robustly and scalably.
- Collaborate with engineers, product managers, and data scientists to deliver ML systems in production.
- Share knowledge and contribute to data science and AI practices across the .
Requirements
- Extensive hands-on experience in data science and machine learning projects.
- Experience developing and deploying information retrieval systems, ideally recommender systems.
- Strong Python coding skills and knowledge of code management and deployment.
- Ability to communicate clearly with technical and non-technical audiences.
- Ability to work effectively in a cross-functional team, prioritise work, and follow a structured approach.
Nice to have
- Experience with model lifecycle management and MLOps, including deployment, versioning, and monitoring.
- Knowledge of cloud services, ideally AWS.
- Experience with testing, code management, and deployment best practices.
- Experience mentoring or supervising team members.
- Track record of delivering value in production.
Culture & Benefits
- Permanent full-time contract with a flexible 35-hour working week.
- 25 days of annual leave, with the option to purchase up to five additional days.
- Defined pension scheme and discounted dental, healthcare, and gym benefits.
- Flexible working can be discussed during the application, selection, or offer process.
- Career and professional development opportunities within the Data Science community.
- Inclusive, values-based working environment focused on belonging and professional contribution.
Hiring process
- Applications are accepted online only; CV applications are not accepted.
- Employment screening includes reference and eligibility-to-work checks, with additional safeguarding or media checks where applicable.
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