5 days ago
Bristol, United KingdomSenior
Responsibilities
- Collaborate with Data Scientists, Product Managers, and Backend Engineers to connect model development with production systems.
- Lead the architecture of end-to-end ML systems, including data ingestion, training pipelines, real-time inference, and monitoring infrastructure.
- Transform data science prototypes into robust, scalable, secure production software and own the path to production.
- Drive adoption of MLOps practices including ML CI/CD, model versioning, and feature stores.
- Communicate ML system trade-offs such as latency versus accuracy to technical and non-technical stakeholders.
- Build cross-functional relationships across Data and Engineering to integrate ML systems with the wider platform.
- Lead projects, mentor engineers and peers, and promote engineering excellence in the data science domain.
- Own systems from discovery through production while maintaining their reliability and stability.
Requirements
- Proficiency in Python and strong software engineering principles, including object-oriented design, design patterns, and testing, applied to machine learning.
- Demonstrable experience designing and operating ML systems in production beyond notebook-based model training.
- Familiarity with serving patterns including batch inference and event-driven systems.
- Experience with orchestration tools such as Airflow or Dagster.
- Experience with cloud-native ML platforms such as AWS SageMaker or GCP Vertex AI.
- Ability to influence infrastructure and tooling decisions and evaluate build-versus-buy trade-offs.
- Strong knowledge of Infrastructure as Code with Terraform and containerization with Docker and Kubernetes.
- Familiarity with SQL and distributed data processing for debugging and optimizing data flows.
- Proactive approach to automating manual processes and improving the developer experience for Data Scientists.
Benefits
- Full-time hybrid role based in Bristol or London, with three days per week in the office and two days working from home.
- Opportunity to work on ML systems and algorithmic recommendations affecting millions of customers daily.
- Inclusive, diverse, and supportive workplace culture with international impact.
Tech Stack
Categories
About Just Eat
Just Eat Takeaway.com builds an online food-delivery and convenience marketplace that connects consumers with restaurants, grocery, and retail partners, supported by courier logistics and merchant tools. It earns primarily through commissions and delivery fees on orders placed via its apps and website. Headquartered in Amsterdam, the company was formed by the 2020 merger of Just Eat and Takeaway.com and is publicly listed on the London and Amsterdam stock exchanges.