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- 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, cloud platforms, and strong problem-solving skills are essential.
- 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 have saved over 50 million kilograms of produce from going to waste, but we are not stopping there. As we expand our tech-driven approach, we are 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 will 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 London employer: Oddbox
Contact Detail:
Oddbox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Fixed Term Contract London
✨Tip Number 1
Familiarise yourself with Oddbox's mission and values. Understanding their commitment to reducing food waste and promoting sustainable eating will help you align your answers during the interview, showcasing your passion for their cause.
✨Tip Number 2
Brush up on your knowledge of LightFM and recommender systems. Since these are specifically mentioned in the job description, being able to discuss your experience or insights on these topics will demonstrate your suitability for the role.
✨Tip Number 3
Prepare to discuss your experience with cloud-based ML platforms like AWS, Azure, or Google Cloud. Be ready to provide examples of how you've used these tools in past projects, as this will be crucial for the technical aspects of the role.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with non-technical stakeholders, demonstrating your ability to communicate effectively will set you apart during the interview process.
We think you need these skills to ace Machine Learning Engineer - Fixed Term Contract London
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 the role. Mention specific projects or experiences that align with Oddbox's mission and the responsibilities outlined in the job description.
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 results.
Prepare for Interviews: Anticipate questions related to your technical expertise and problem-solving abilities. Be ready to discuss your approach to developing machine learning models and how you would collaborate with cross-functional teams at Oddbox.
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 ML platforms like AWS or Azure.
✨Communicate Clearly
Since you'll be working with cross-functional teams, it's crucial to demonstrate your ability to explain complex technical concepts to non-technical stakeholders. Practice articulating your thought process and findings in a way that's easy to understand.
✨Prepare for the Take-Home Task
The take-home technical task is an important part of the application process. Make sure you allocate enough time to complete it thoroughly. Focus on demonstrating your problem-solving abilities and attention to detail, as these are key skills for the role.
✨Stay Updated on Industry Trends
During the interview, show your enthusiasm for the field by discussing recent trends in machine learning and how they could apply to Oddbox's mission. This will demonstrate your commitment to continuous learning and innovation in the industry.
