Engineering Manager (M/F/D) Machine Learning

Sixt; Lisboa; On-site; EUR 60,000 - 100,000; Full time

Benefits offered by this job

Global tech hub

Flexible work

Paid time off

Health insurance

Meal allowance

Sixt perks

Job summary

Sixt in Lisbon is seeking an Engineering Manager (m/f/d) for Machine Learning to lead and scale our ML engineering team, partnering with data scientists to deploy production-grade ML applications on our central MLOps platform.

You will shape ML engineering standards, drive technical strategy across data science, MLOps and engineering, and mentor engineers while fostering a culture of innovation and collaboration across locations.

Qualifications

• 3+ years leading ML or software teams; multi-location experience.
• Strategic vision for complex ML/data initiatives from concept to production.
• Deep ML and cloud expertise with ML frameworks and AWS.
• Experience deploying large-scale ML systems in production.
• Strong communication to translate between tech and business.
• Hands-on ability to review architectures and contribute code.

Responsibilities

• Lead and scale the ML Engineering team on the MLOps platform.
• Establish standards, patterns, and quality for scalable ML solutions.
• Set technical strategy and architecture across data science and engineering.
• Bridge platform capabilities with practical guidance for data science teams.
• Foster collaboration, mentor engineers, and drive continuous improvement.

Skills

Leadership

Strategic vision

ML & cloud

Production ML

Bridge-builder

Hands-on coding

Job description

Engineering Manager (m/f/d) Machine Learning

Salary: €4 monthly

Empresa: Sixt Tipo de Emprego: Periodo Integral Lisbon, Portugal

Job Description

Our vision is: Transform the worldmoves, becausepeople expect better.Join our Data Scienceorganizationand make the magic happen. We drive business processes like pricing and many more with the use of sophisticated algorithmsand buildinghighly scaling algorithms.

YOUR ROLE AT SIXT

• You will lead and scale our Machine Learning Engineering teamthat partners with data scientists to transform models into production-grade ML applications on our central MLOps platform

• You will shape ML Engineering standardsby establishing best practices, design patterns, and quality benchmarks that enable data scientists to build scalable, maintainable ML solutions

• You will drive technical strategy and architectureacross data science, MLOps, and engineering teams, ensuring alignment with business objectives and communicating system designs to tech leadership

• You will bridge platform and practiceby translating MLOps platform capabilities into practical guidance for data science teams, while channeling ML engineering requirements back to the MLOps platform team

• You will foster collaboration and excellenceby building strong relationships across cross-functional teams, mentoring engineers, and creating a culture of innovation and continuous improvement

YOUR SKILLS MATTER

• Proven leadershipexperiencewith 3+ years managing machine learning or software engineering teams, ideally across multiple locations, with a track record of building high-performing teams

• Strategic technical visionwith experience leading complex, multi-stakeholder ML/data science initiatives from concept to production

• Deep ML and cloud expertiseincluding hands-on experience with machine learning frameworks, MLOps practices, and AWS cloud services

• Production ML deploymentexperiencewith real-world examples of deploying and maintaining large-scale ML systems in production environments

• Bridge-builder mindsetwith exceptional communication skills, ability to translate between technical and business stakeholders, and talent for building consensus across diverse teams

• Hands-on technical credibilitywith the ability to review architectures, guide technical decisions, and occasionally contribute to critical implementations

WHAT WE OFFER

• A Global Tech Hub in LisbonJoin a thriving international tech community and work alongside engineers, product experts, and business teams who turn ideas into real impact. Our hubs at Factory Lisboa in Beato and ARTs Lisboa in Parque das Nações are where great tech gets built

• Learning & Knowledge ExchangeLevel up through regular events with internal and external speakers. We value curiosity, continuous learning, and open exchange – across teams, disciplines, and borders

• Flexible Work SetupTwo office days a week, flexible hours, and modern spaces built for both deep focus and team collaboration – work the way that brings out your best

• Time Off & WellbeingEnjoy 28 vacation days per year, an additional day off on your birthday, one volunteer day annually, and private health insurance that also covers your spouse and children free of charge

• Practical Everyday BenefitsGet a yearly Coverflex allowance and a daily meal allowance to make everyday life a little easier

• SIXT PerksGet exclusive rates on all SIXT services, with special discounts extended to your family and friends. Because great perks are even better when you can share them

Additional Information

About us:

We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight.