Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy machine learning models to optimise supply chain efficiency and reduce waste.
- Company: Join Oddbox, a leader in sustainable eating and reducing food waste through innovative tech solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and the chance to make a real impact.
- Why this job: Be part of a mission-driven team that values innovation and sustainability in the food industry.
- Qualifications: Experience in machine learning model development and familiarity with cloud-based platforms required.
- Other info: This is a fixed-term contract with potential for future opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid, at least one day per week in our office in Vauxhall, London.
Working Pattern: Full-time, fixed term contract for 3 months.
Salary: Competitive, based on experience.
Oddbox continues to revolutionise the fruit and veg subscription market with our commitment to reducing food waste and promoting sustainable eating. We’ve saved over 50 million kilograms of produce from going to waste, but we’re not stopping there. As we expand our tech-driven approach, we’re looking for a talented Machine Learning Engineer to join our innovative team.
About the Role
As a Machine Learning Engineer, you will rapidly design, build, and deploy machine learning forecasting and recommendation models that directly reduce waste and optimise supply chain efficiency through accurate prediction of customer behaviour and preferences. You'll work closely with cross-functional teams to implement data-driven solutions that enhance customer experience and optimise our supply chain processes. This is a unique opportunity to contribute to a mission-driven company on a fixed-term basis, with the potential for future opportunities.
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.
Qualifications and 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.
Application Process
- A quick intro call with our team (c. 15 minutes)
- Take home technical task + async review
- Combo technical live review + ways of working interview (c. 1 hour)
Are you ready to apply your machine learning expertise to make a difference in the food industry? Join the Oddbox team and support our mission to reduce food waste. Apply today!
Machine Learning Engineer - Fixed Term Contract employer: Oddbox
Contact Detail:
Oddbox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Fixed Term Contract
✨Tip Number 1
Familiarise yourself with the specific machine learning models and techniques mentioned in the job description, such as LightFM and recommender systems. This will not only help you during the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Prepare to discuss your previous experience with cloud-based ML platforms like AWS, Azure, or Google Cloud. Be ready to share specific examples of how you've used these tools to deploy machine learning models effectively.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex technical concepts to non-technical stakeholders. Practising this can give you an edge during the combo technical live review.
✨Tip Number 4
Stay updated with the latest trends in machine learning and data analytics. Being able to discuss recent advancements or case studies in the field can showcase your passion and commitment to continuous learning.
We think you need these skills to ace Machine Learning Engineer - Fixed Term Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in developing and deploying machine learning models. Emphasise any familiarity with LightFM, cloud-based ML platforms, and your problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for reducing food waste and your understanding of Oddbox's mission. Mention specific projects or experiences that demonstrate your ability to enhance operational efficiency through machine learning.
Showcase Technical Skills: In your application, clearly outline your technical skills related to machine learning, data analysis, and cloud platforms. Provide examples of how you've used these skills in previous roles to achieve measurable results.
Prepare for the Interview Process: Familiarise yourself with the interview process outlined in the job description. Be ready to discuss your technical expertise and how you can contribute to the team, as well as prepare for the take-home technical task.
How to prepare for a job interview at Oddbox
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models, especially those you've developed and deployed in a commercial setting. Highlight any familiarity with LightFM and recommender systems, as well as your experience with cloud-based platforms like AWS or Azure.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to tackle problem-solving scenarios. Use examples from your past work to illustrate how you approached complex challenges, particularly in optimising supply chain processes or enhancing customer experiences through data-driven solutions.
✨Communicate Clearly
Since you'll need to explain technical concepts to non-technical stakeholders, practice articulating your ideas clearly and concisely. Prepare to simplify complex topics and ensure that your communication style is engaging and easy to understand.
✨Stay Updated on Industry Trends
Research the latest trends in machine learning and data analytics before your interview. Being knowledgeable about current advancements will not only impress your interviewers but also demonstrate your commitment to staying at the forefront of the industry.
