AI/ML Engineer Recommendation Systems & Personalisation (Contract to Hire)

Company Description

Bionesca Ltd. is a cutting-edge data platform dedicated to revolutionising the future of skin health. By leveraging advanced technologies, Bionesca provides data-driven solutions to deliver personalised skincare recommendations. Our mission is to empower individuals with insights and tools to achieve optimal skin health.

Role Description

We are looking for an AI/ML Engineer to help design and improve our personalisation and recommendation systems.

This role focuses on bringing data-driven rigour and intelligent decision-making into our platform, improving how we generate, rank, and optimise recommendations for users.

You will work closely with the founder and engineering team to build scalable, high-quality personalisation systems, combining domain logic, data, and AI techniques.

This is a highly applied role for someone who enjoys solving real product problems using practical machine learning approaches.

Qualifications

• Designing and improving recommendation and personalisation systems
• Developing and refining scoring, ranking, and decision-making frameworks
• Evolve machine learning models where they add meaningful value
• Work with structured and unstructured data (user inputs, product data, model outputs)
• Define and track metrics to evaluate recommendation quality and performance
• Collaborate with engineering to integrate models into production systems
• Improve the system through continuous iteration and data-driven insights
• Leveraging modern AI approaches, including LLMs where appropriate, to enhance system capabilities
  

Must have requirements:

• 3–6+ years of experience in applied AI/ML or data-driven product development
• Strong understanding of recommendation systems, ranking, or personalisation
• Keen ness to work in a dynamic startup environment with a can do attitude and not shy away from taking on varied responsibilities
• Self-starter who want to own and shape a critical part of a product
• Solid foundation in machine learning and model evaluation
• Experience working with real-world data and production systems
• Strong proficiency in Python and modern ML tooling
• Ability to translate ambiguous problems into clear, structured solutions
• Experience integrating ML into real products, not just experiments
• Strong ownership mindset and ability to operate in a fast-moving environment

If you're excited about building intelligent, real-world systems that meaningfully impact users, we'd love to hear from you.