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About the Role
Join our AI Growth team to build the intelligence behind Just Eat's marketplace, powering personalized experiences for millions of customers globally. This role offers the opportunity to deliver end-to-end machine learning solutions that directly impact customer engagement and order growth, working on foundation model platforms, embedding models, and intelligent targeting systems.
Responsibilities
- Lead the development and deployment of ML/AI solutions including embedding models, fine-tuned LLMs, and ranking systems that drive engagement and orders.
- Apply generative AI and LLM techniques to personalization challenges, generating customer and partner representations that improve search relevance and app experiences.
- Own results by designing, running, and interpreting A/B experiments with statistical rigor, measuring business impact.
- Collaborate with ML engineers to productionize models, implementing MLOps best practices and maintaining monitored pipelines.
- Translate complex business questions into clear modeling approaches and communicate results effectively to product and commercial stakeholders.
- Take end-to-end ownership of workstreams, independently framing problems, choosing approaches, running experiments, and presenting findings.
- Write production-quality Python code and efficient SQL for data pipelines and analyses.
- Contribute to JET's foundation model platform and personalized targeting systems.
- Design experiments that influence commercial decisions while ensuring statistical validity and actionable insights.
- Stay current with advances in search, retrieval, recommendations, and LLM applications, bringing fresh ideas to drive the AI Growth vision forward.
Requirements
- Proven track record delivering end-to-end ML solutions from problem framing through data exploration to production deployment and experiment measurement.
- Hands-on expertise in search, retrieval, and recommendation techniques including embedding-based approaches, learning-to-rank, and vector similarity search.
- Practical experience applying LLMs in production environments, including prompt engineering, fine-tuning, structured output validation, and assessing generative output quality.
- Strong experimentation skills with ability to design and interpret A/B tests, reason about statistical significance, and understand the gap between offline and online performance.
- Production-grade Python coding abilities suitable for engineering workflows and collaboration with technical teams.
- Proficient SQL skills across complex data warehouses, including partitioning, window functions, and large-table joins, with focus on query efficiency and data quality.
- Excellent problem-framing and communication skills to translate ambiguous business questions into modeling approaches and explain technical results to non-technical stakeholders.
- Self-starter attitude comfortable with autonomy and ambiguity, thriving in fast-paced environments.
- Strong collaboration skills to work effectively with senior data scientists, ML engineers, product partners, and commercial teams.
- Results-driven mindset with attention to detail, able to balance speed of execution with technical rigor.
- Experience with causal inference or uplift modelling relevant to promotions and growth initiatives (Bonus).
- Knowledge of sequential or session-based recommendation modeling techniques (Bonus).
- Familiarity with real-time data pipelines and streaming infrastructure (Bonus).
- Experience working across multiple languages or markets in a data science context (Bonus).
Skills
- Machine Learning
- AI
- Embedding Models
- Large Language Models (LLMs)
- Ranking Systems
- Generative AI
- A/B Testing
- MLOps
- Python
- SQL
- Search
- Retrieval
- Recommendation Systems
- Prompt Engineering
- Fine-tuning
- Vector Similarity Search
- Statistical Significance
- Data Warehousing
- Causal Inference
- Uplift Modelling
- Sequential Recommendation Modelling
- Session-based Recommendation Modelling
- Real-time Data Pipelines
- Streaming Infrastructure
Location
- London
- Amsterdam
Work Type
- Hybrid
- Full-time
Experience Level
- Mid-level
- Senior
About the Company
- Just Eat Takeaway.com is a leading global online delivery platform with a vision to empower everyday convenience.
- Our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners across the globe.
- At JET, teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
- Our values and behaviours guide every interaction, decision, and innovation.
- The JET culture is fun, fast-paced, and supportive, focusing on movement, growth, helping one another succeed, and celebrating wins.
- We are building a customer-first culture which enables us to stay one step ahead of the competition.
Equal Opportunity
- No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com.
- We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.