(Senior) Machine Learning Engineer, Revenue Management
Lisbon, Portugal
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign ML system architecture, including feature computation, serving and retraining
Run production ML systems and root cause issues so they do not recur
Encode ML system health as automated checks and alerts
Bridge the team and the MLOps platform, co-owning templates and tooling
From the employer’s posting
You own design and architecture: how features are computed once and served consistently
You run what you ship
encode it as automated checks and alerts, and root cause issues so they do not recur
You are the bridge to MLOps
What you’ll bring
All qualificationsCore experience
- 3+ years shipping and operating ML systems in production
- Fluent in Python and SQL, plus one language such as Go or Java
- Hands-on experience with containers, orchestration, CI/CD and model registries
- Hands-on work in a major cloud platform, ideally AWS
- Understanding of forecasting, regression and optimization
Preferred experience
- Infrastructure as code experience
Qualification wording
shipped and operated ML systems in production for 3+ years
You are fluent in Python, SQL and one more language such as Go or Java
Containers, orchestration, CI/CD, and model registries are daily tools.
You have worked hands on in a major cloud platform, ideally AWS.
You understand forecasting, regression, and optimization
Infrastructure as code is a plus
Tools in this posting
- Java
- Python
- SQL
- AWS
- Go
Source — Tool mentions in context
- Experience You have shipped and operated ML systems in production for 3+ years and know where they break: training/serving skew, leakage, drift, silent degradation - Software Engineering You are fluent in Python, SQL and one more language such as Go or Java: you read, review, and debug production code with confidence, whatever agent wrote it - ML Systems Design You design clean contracts between data, model, and consumers and reason about latency, cost, and failure
- Software Factory You define acceptance criteria, orchestrate coding agents for implementation, QA, and security, and step in where they fall short. You review outcomes, not keystrokes, and want to shape how a team works this way - Platform Containers, orchestration, CI/CD, and model registries are daily tools. You have worked hands on in a major cloud platform, ideally AWS. Infrastructure as code is a plus - Team Spirit You act as a partner to Data Science, Product and Engineering, not a ticket executor: you challenge unclear framing, explain trade offs in business terms, and communicate fluently in English across cultures
Benefits in the posting
Full benefits wording- Time Off & Wellbeing Enjoy 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 Benefits Get a yearly Coverflex allowance and a daily meal allowance to make everyday life a little easier
- SIXT Perks Get 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
From the employer’s posting.
About SIXT
We are a globally leading mobility service provider with a revenue of €4.3 billion and around 9,000 employees worldwide.
In the employer’s words · Read in context
Posting record
Report an errorLikely evergreenReposted 2 times since Sep 24, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 20, 2026 · 9 days ago
- Recorded sightings
- 101
- Last seen by us
- Oct 29, 2026
- Reposted
- 2 times since Sep 24, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
Job Description
Machine Learning Engineering at SIXT turns models into systems that decide prices, forecast demand, and steer a fleet of hundreds of thousands of vehicles, millions of times a day. You build these systems with our Data Scientists, run them in production, and shape the ML platform while it is still being built. The numbers you move are real. Transform the way the world moves, because people expect better. Join Team Orange in Lisbon.
YOUR ROLE AT SIXT
- You build ML systems together with Data Scientists, from the first design session to the validated outcome in production. One team, one goal
- You own design and architecture: how features are computed once and served consistently, how predictions flow out, how training, serving, and retraining fit together
- You get models live safely - offline evaluation, shadow runs, champion/challenger, rollback. You run what you ship
- You make quality structural - you define what a healthy ML system looks like, encode it as automated checks and alerts, and root cause issues so they do not recur
- You are the bridge to MLOps - you bring the team's needs to the platform, bring platform standards back into the team, and co-own the templates and tooling that make the next use case faster
- You multiply the team - setting the engineering bar, design how coding agents execute the ML lifecycle from data preparation to deployment, and grow production practice together with Data Scientists
YOUR SKILLS MATTER
- Experience You have shipped and operated ML systems in production for 3+ years and know where they break: training/serving skew, leakage, drift, silent degradation
- Software Engineering You are fluent in Python, SQL and one more language such as Go or Java: you read, review, and debug production code with confidence, whatever agent wrote it
- ML Systems Design You design clean contracts between data, model, and consumers and reason about latency, cost, and failure
- ML Fundamentals You understand forecasting, regression, and optimization well enough to challenge a model design and to recognize a wrong model in production
- Software Factory You define acceptance criteria, orchestrate coding agents for implementation, QA, and security, and step in where they fall short. You review outcomes, not keystrokes, and want to shape how a team works this way
- Platform Containers, orchestration, CI/CD, and model registries are daily tools. You have worked hands on in a major cloud platform, ideally AWS. Infrastructure as code is a plus
- Team Spirit You act as a partner to Data Science, Product and Engineering, not a ticket executor: you challenge unclear framing, explain trade offs in business terms, and communicate fluently in English across cultures
WHAT WE OFFER
A Global Tech Hub in Lisbon Join 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 Exchange Level up through regular events with internal and external speakers. We value curiosity, continuous learning, and open exchange – across teams, disciplines, and borders
Flexible Work Setup Two 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 & Wellbeing Enjoy 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 Benefits Get a yearly Coverflex allowance and a daily meal allowance to make everyday life a little easier
SIXT Perks Get 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 €4.3 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 360,000 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 100 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. Get started with us and apply now!
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Lisbon, Portugal
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