Lead Machine Learning Engineer, Stuart
3 days a week in office
Last mile delivery service
Open for applications
Last mile delivery service
1001+ employees
Open for applications
3 days a week in office
1001+ employees
Company mission
To connect businesses, customers and couriers to revolutionise the way goods are transported in cities.
Role
Who you are
- Background: 5+ years of hands-on ML engineering experience in production environments, developing data and feature engineering pipelines, optimizing and deploying ML models, and integrating solutions into production systems
- Software Engineering Expertise: Advanced level in Python with deep knowledge of data structures, algorithms, object-oriented programming, and CI/CD workflows. A nice-to-have would be another language, ideally Scala
- ML Infrastructure and Cloud Proficiency: Strong expertise in building ML infrastructure for event-driven and batch pipelines via Kafka, PySpark, Airflow, DBT, Docker, and Kubernetes. Skilled in optimizing AWS services like S3, Redshift, and EKS for scalability and cost efficiency
- Collaborative Communication: Excellent skills in articulating complex technical concepts to diverse audiences, aligning technical solutions with strategic business goals
- Adaptability: Proven ability to excel in fast-changing, ambiguous environments while delivering robust technical solutions
What the job involves
- We are looking for a Lead Machine Learning Engineer, based in Barcelona, Spain, to drive the Machine Learning (ML) engineering efforts within a highly talented team of Data Scientists and ML Engineers
- You'll take charge of critical initiatives that enable the team to develop, deploy, and scale innovative machine learning services in domains such as real-time courier incentive & positioning optimization, prediction of estimated times of arrival (ETAs) & risk signals throughout the package lifecycle, and fraud detection
- As a technical leader, you'll not only make key decisions to improve data quality and model performance but also play a hands-on role in building and optimizing advanced solutions to deliver impactful ML products at scale
- Lead the design, implementation, and optimization of our ML backend, enabling the efficient development and deployment of new ML driven features & products
- Own ML services from prototype to production, ensuring performance, reliability, and scalability. This includes:
- PySpark Pipelines: Design and implement efficient pipelines for large-scale training data preprocessing
- Real-Time Inference with Kafka: Integrate real-time data streaming and model inference
- APIs for Real-Time Predictions: Develop and deploy RESTful APIs to serve models for real-time inference
- ML Model Lifecycle Management: Oversee training, storage, retrieval, deployment, and automated retraining of models applying MLOps best practices
- Monitoring Dashboards: Implement and maintain real-time performance and system health monitoring dashboards
- CI/CD Pipelines: Automate testing, validation, and deployment of ML assets (code, pipelines, models) with CI/CD workflows
- Guide and mentor team members, fostering a high-performing, learning-driven engineering culture
- Collaborate on product strategy, contribute to roadmap planning, and drive technical decisions across our ML stack
Application process
- Our Talent Acquisition Team is international coming from across the world
- We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English)
Our take
Founded in 2015, Stuart Delivery is one of many companies operating in Europe’s competitive rapid delivery and logistics market. However, where startups such as Getir aim to deliver groceries within 15 minutes, Stuart connects businesses with its fleet of independent couriers to deliver a range of cargo.
It empowers thousands of companies across Europe by providing same-day delivery, next-day delivery and returns solutions. It works across verticals with retailers, grocery stores, restaurants and e-commerce merchants to enable smarter transportation models. Couriers on the platform complete tens of millions of deliveries annually for the biggest brands across retail, e-commerce, grocery and food. The company operates in more than 120 cities across 6 countries.
The company is focusing on establishing relationships with charging infrastructure providers and financial partners to incentivise and support couriers’ transition to electric vehicles. It continues to expand its market presence by partnering with leading brands such as Tesco and Co-op and has recently added several major UK cities to its Hub to Home service, allowing same-day delivery across much of England.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (2 rounds)
Nov 2015
$23m
SERIES A
Feb 2015
$1.6m
SEED
Total funding: $24.6m
Company benefits
- Work-life balance - hybrid working model and flexible hours 🏡
- 2 volunteer days per year to have a positive impact on our communities and the environment
- Work-from-Abroad policy (enjoy 30 days per year working from anywhere!) 🏞
- Work in an international, dynamic and passionate environment with a company culture focused on learning and development 🎉
- Ticket Restaurant 🥗
- Private healthcare 🧑⚕️
Company values
- Continuous Innovation: Think & design with a limitless mind - We stay at the forefront of innovation because we never stop stretching the limits of what’s technologically – or humanly – possible
- Flexibility: Adapt easily to whatever life throws your way - We empower this fast-changing world and its diverse people with an attitude of absolute flexibility
- Efficiency: What ever you do, do it efficiently - This applies to everything we do as a company, from our technology designed to maximize efficiency, to our swift courier fleet and our reliable bulletproof processes
- Simplicity: Make things as simple as possible for everyone - Simplicity is integral to our product design, our work methodology and our service delivery model
- Customer-Centrism: Put yourself in the other person's shoes - From service to communication to design, everything we do, we do it with the end-user in mind
Company HQ
Épinettes, Paris, France
Articles
Leadership
Cornelia Raportaru
(CEO)Over 20 years of experience managing teams and multi-million-pound budgets across tech scale-ups, Telco, and FMCG.
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