Stuart is a tech-enabled logistics platform transforming on-demand delivery across Europe, connecting businesses with independent couriers for fast, flexible, and efficient deliveries.

Stuart is revolutionizing urban logistics across Europe with its tech-enabled delivery platform operating in over 130 cities. As a Client Solutions Engineer, you'll be at the heart of our technical integration process, working with partners to implement and optimize their API integrations with our platform. The role combines technical expertise with client-facing responsibilities, requiring a blend of API knowledge, problem-solving skills, and strong communication abilities.

You'll be joining a diverse team of 240+ employees across France, Poland, Spain, and the UK, contributing to Stuart's mission of building sustainable, efficient urban deliveries. The position offers a hybrid working model with 3 days per week in the office, providing flexibility while maintaining team collaboration.

Your responsibilities will span from pre-sales technical consultations to ongoing integration support, requiring you to work closely with multiple stakeholders across the organization. You'll need to understand complex technical requirements, translate business needs into technical solutions, and ensure partners make the most of Stuart's capabilities.

The ideal candidate will have strong experience with REST APIs, integration workflows, and technical project management. You'll be comfortable maintaining documentation, troubleshooting integration issues, and communicating technical concepts to diverse audiences. The role offers comprehensive benefits, including healthcare, wellness allowances, and professional development opportunities through Stuart Academy.

This is an excellent opportunity for someone passionate about technical integration work who wants to make a significant impact in the logistics technology sector while working in an inclusive, growth-oriented environment that values work-life balance and professional development.

Client Solutions Engineer role at Stuart, focusing on API integrations and technical partnership support in Barcelona, with hybrid work arrangement.

Client Solutions Engineer

Stuart is a tech-enabled logistics platform transforming on-demand delivery across Europe, connecting businesses with independent couriers for fast, flexible deliveries.

Stuart, a leading European logistics platform, is seeking a Senior Machine Learning Engineer to join their Warsaw team. This role offers an exciting opportunity to work on critical ML initiatives in a fast-growing tech company that's transforming urban deliveries across Europe. The position involves developing and scaling sophisticated ML services for courier optimization, ETA predictions, and fraud detection.

The role combines technical excellence with business impact, requiring expertise in Python, ML infrastructure, and cloud services. You'll work in a hybrid environment (3 days/week in office) with a diverse team of 240+ employees across multiple countries. The company culture emphasizes learning, development, and work-life balance.

As a Senior ML Engineer, you'll own end-to-end implementation of complex projects, from prototyping to production, ensuring performance and scalability. Key responsibilities include designing ML platform components, implementing data pipelines, and maintaining real-time inference systems. You'll work with technologies like PySpark, Kafka, and Kubernetes while contributing to architectural decisions and engineering excellence.

Stuart offers comprehensive benefits including healthcare, meal vouchers, wellness allowance, and a unique work-from-abroad policy. The company is committed to sustainability and creating efficient urban delivery solutions. They value diversity and inclusion, creating an environment where employees can thrive both professionally and personally.

This role is perfect for experienced ML engineers who want to make a real impact on urban logistics while working with cutting-edge technologies in a supportive, international environment. The position offers excellent growth opportunities and the chance to shape the future of sustainable urban deliveries.

Senior Machine Learning Engineer role at Stuart, developing and scaling ML services for urban logistics optimization, with hybrid work model in Warsaw.

Senior Machine Learning Engineer

Stuart is revolutionizing urban logistics across Europe with its tech-enabled delivery platform operating in over 130 cities. As a Site Reliability Engineer, you'll join a diverse team of 240+ employees spanning France, Poland, Spain, and the UK. The role focuses on ensuring system reliability and scalability, working with cutting-edge technologies like Kubernetes, Kafka, and cloud services.

You'll be instrumental in bridging development and operations, championing reliability practices across teams. The position involves managing incidents, implementing monitoring solutions, and optimizing system performance. You'll work with event-driven architectures and microservices, using languages like Golang, Python, or TypeScript.

The ideal candidate brings 5+ years of SRE/DevOps experience, strong technical expertise in containerization and cloud services, and excellent communication skills. Stuart offers a collaborative, high-growth environment with a strong focus on learning and development. Benefits include flexible working arrangements, healthcare, wellness allowances, and professional development opportunities.

This is an exciting opportunity to impact millions of users while building sustainable urban delivery solutions. Stuart values diversity and maintains an inclusive culture where employees can thrive both professionally and personally. The company's mission focuses on creating efficient, reliable, and environmentally conscious delivery systems for a sustainable future.

Senior Site Reliability Engineer position at Stuart, focusing on system reliability, incident management, and performance optimization using Kubernetes, Kafka, and cloud technologies.

Site Reliability Engineer

Stuart, a leading European logistics platform, is seeking a Lead Machine Learning Engineer to drive ML engineering efforts in Barcelona. This role offers an exciting opportunity to shape the future of urban deliveries through innovative ML solutions. As a technical leader, you'll be responsible for developing and scaling ML services for courier optimization, ETA predictions, and fraud detection.

The position combines hands-on technical work with leadership responsibilities, requiring expertise in Python, ML infrastructure, and cloud services. You'll work with a diverse team of 280+ employees across Europe, implementing solutions that impact millions of users. The role demands strong engineering skills, particularly in building ML pipelines, real-time inference systems, and production-grade APIs.

The company offers a flexible hybrid working model (3 days/week in office) and comprehensive benefits including healthcare, wellness allowance, and professional development opportunities. Stuart's mission focuses on sustainable, efficient urban deliveries, making this an ideal role for someone passionate about using ML to solve real-world logistics challenges.

As a Lead ML Engineer, you'll have end-to-end ownership of ML services, from prototyping to production, while mentoring team members and contributing to product strategy. The role requires 5+ years of ML engineering experience and strong expertise in tools like Kafka, PySpark, and AWS services. Stuart's inclusive culture and commitment to employee growth make it an excellent environment for experienced ML engineers looking to make a significant impact.

Lead Machine Learning Engineer position at Stuart, developing and scaling ML solutions for urban logistics, with 5+ years experience required, based in Barcelona with hybrid work model.

Stuart Engineering Jobs

Stuart is a tech-enabled logistics platform transforming on-demand delivery across Europe, connecting businesses with independent couriers for fast, flexible, and efficient deliveries.