Time since we first saw it
Day 15
Similar jobs usually come down between day 6 and day 70.
At SIXT, jobs usually come down by about day 9.
From 4,444 similar postings that came down, and 90 of SIXT’s. Coming down is not always a hire.
Lisbon, Portugal
Likely evergreen, first seen by us 15 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design 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
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
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
- 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
From the employer’s posting.
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
Likely 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.
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.
Day 15
Similar jobs usually come down between day 6 and day 70.
At SIXT, jobs usually come down by about day 9.
From 4,444 similar postings that came down, and 90 of SIXT’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
Already applied? Track this application
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
YOUR SKILLS MATTER
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
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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