Machine Learning Engineer, Oddbox
3-Month Fixed Term Contract
More information about location
1+ day a week in office (Vauxhall, London)
Sustainable fruit and vegetable box subscription
Be an early applicant
Sustainable fruit and vegetable box subscription
21-100 employees
Be an early applicant
More information about location
1+ day a week in office (Vauxhall, London)
21-100 employees
Company mission
To fight food waste, one curvy cucumber at a time.
Role
Who you are
- 8+ years of experience delivering ML models into production, including time-series forecasting or customer lifecycle modelling
- Proven ability to lead complex technical initiatives from ideation through to impact in high-autonomy environments
- Track record of building forecasting systems with measurable commercial or operational value
- Advanced Python proficiency and familiarity with libraries like XGBoost, Prophet, PyTorch, Scikit-learn
- Deep knowledge of MLOps, reproducibility practices, and scalable experimentation
- Experience deploying models with CI/CD pipelines, containerisation, and cloud tools (e.g., SageMaker, Vertex AI, GCP pipelines)
- Strong data engineering instincts — including building and optimising ETL processes for large, structured and unstructured datasets
- Exceptional collaboration skills with the ability to influence both technical and non-technical stakeholders
What the job involves
- Contract Type: Full-time, Fixed-Term (3 months)
- This is a contract-to-impact opportunity for an experienced ML leader or Staff+ individual contributor who thrives in lean, product-oriented environments. You’ll be responsible for shaping and delivering end-to-end forecasting systems that influence core supply chain and customer engagement decisions
- Lead high-stakes forecasting projects — from ambiguous ideas to productionised ML systems
- Architect and deploy solutions in collaboration with Product, Engineering, and Ops
- Ensure data and model pipelines are scalable, reproducible, and value-driven
- Create measurable business impact within a focused 3-month engagement, with potential for longer-term collaboration
- We’re looking for someone autonomous, decisive, and outcome-obsessed — capable of steering technical decisions, influencing stakeholders, and shipping ML systems that matter
- Forecasting Impact: Design, develop, and deploy forecasting models that optimise supply, reduce food waste, and improve customer outcomes
- Technical Leadership: Define modelling approaches, data strategies, and validation pipelines in a cross-functional context
- Strategic Execution: Rapidly prioritise, structure, and execute on projects with evolving requirements and commercial pressure
- System Architecture: Build production-grade, containerised models using modern MLOps practices — integrating with cloud pipelines and multi-source data
- Data-Driven Culture: Drive experimentation, model performance monitoring, and business integration of ML outputs
Application process
- We value efficiency and depth. Our process is designed to evaluate how you think, architect, and lead — not just what you can code
- Introductory Call (15 minutes)
- A short conversation to align expectations, discuss the scope, and answer your initial questions
- Strategic Forecasting Deep Dive (Take-Home Proposal)
- You’ll receive a realistic brief outlining a forecasting challenge relevant to our domain. We’ll ask you to prepare a structured proposal describing how you would approach the problem — including your assumptions, modelling choices, data needs, and delivery roadmap
- We’re not testing syntax — we’re evaluating your ability to frame problems, communicate clearly, and drive outcomes
- Final Interview (90 minutes)
- A collaborative session with our Data and Product teams focused on your approach, technical architecture, decision-making, and stakeholder alignment
Salary benchmarks
Our take
Oddbox is tackling food waste head-on by offering sustainable fruit and vegetable subscription boxes. The company partners with local farmers to source produce that would otherwise go to waste - often due to imperfections or surplus - ensuring that misshapen fruit and veg gets a second chance.
As a Certified B Corporation, Oddbox not only help sreduce food waste but also works towards a more sustainable food system. So far, the company has rescued the equivalent of over 121M meals, showing the significant impact of its mission.
Despite facing challenges in the past due to shifting market conditions for DTC brands, Oddbox is optimistic about 2025. With its path toward profitability in sight, the company is poised for a strong comeback, making its next steps into growth and expansion an exciting one.
Freddie
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2023
$0.1m
GRANT
Aug 2021
$21.6m
EARLY VC
Total funding: $25.9m
Company benefits
- 33 days holiday per year (incl. Bank Holidays)
- 4 'Not-Sick' Days per Year
- Access to Health Cash Plan
- Cycle to Work Scheme
- Learning & Development Budget
- 2 days Volunteering Allowance per year
- Discount on Oddbox fruit and veg
- Employee perks via Perkbox & Charlie HR
- Flexible Working Hours
Company HQ
Nine Elms, London, UK
Leadership
Emilie Vanpoperinghe
(Co-Founder & CEO)Previously worked at Girl Effect for 5 years, first as Finance Manager then as Director of Finance and Operations. Prior to that, they worked at BT as a Senior Finance Manager and at 3M, India as a Financial Analyst and Accounting Manager.
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