Summary: The Machine Learning Engineer role at Oddbox involves designing, building, and deploying machine learning models to enhance supply chain efficiency and reduce food waste. This full-time, fixed-term position requires collaboration with cross-functional teams to implement data-driven solutions that improve customer experience. The role is based in a hybrid working arrangement, requiring at least one day per week in the office in Vauxhall, London. Candidates will have the opportunity to contribute to a mission-driven company focused on sustainable eating.

Key Responsibilities:

• Develop cutting-edge machine learning models to enhance operational efficiency and improve the customer experience.
• Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into our tech stack.
• Analyse large datasets to extract meaningful insights and predictive analytics.
• Continuously evaluate and improve model performance through rigorous testing and validation.
• Stay updated with the latest industry trends to ensure our ML techniques remain at the forefront.
• Document processes, methodologies, and findings for internal knowledge sharing.

Key Skills:

• Proven experience in developing and deploying machine learning models in a commercial setting.
• Familiarity with LightFM and recommender system deployment at scale.
• Experience with cloud-based ML platforms and tools (AWS, Azure, or Google Cloud).
• Strong problem-solving abilities and attention to detail.
• Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
• Familiarity with data pipelines, ETL processes, and big data technologies.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT