Senior Machine Learning Engineer
Imaginary Cloud Portugal · €39K–€61K/yr
IT Services and IT Consulting · 51-200 employees
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
Develop and deliver production-level, cloud-native machine learning solutions, applying sound MLOps practices and modern machine learning tools. Collaborate with multidisciplinary engineering and product teams to solve problems and create digital products for clients across industries.
What they look for
Requirements
Requires at least five years of experience in machine learning engineering or a closely related role, along with an academic background in computer science, data science, engineering, or a related quantitative field. Candidates should have strong Python and modern ML stack experience, production ML and MLOps expertise, proficiency with agentic AI development tools, analytical problem-solving skills, and fluency in spoken and written English; they must live in or be legally qualified to live and work in Portugal.
Benefits
Full description
If you're passionate about technology and ready for a challenge, join our team of talented individuals and show your technical skills, creativity, and drive for impact.
You'll work with the best in the industry in a supportive, happy, and human-centric environment, making seamless technology. That’s why we were recognized as Best Workplace® in Europe (medium companies), Best Quality of Life Company® and the 2nd Best Great Place to Work® in Portugal by Great Place to Work®. See for yourself by checking our Glassdoor reviews.
What exciting projects will you have to make an impact and work on?
At Imaginary Cloud, our work improves and simplifies people's lives by creating easy and intuitive digital products. Our day-to-day tasks include development, problem-solving, management, and human interaction.
Together, we will drive innovation by creating innovative projects for some of the best companies around the world. You'll be able to grow as you engage with multidisciplinary teams, multiple industries, and projects, overcoming the many challenges that will test and build your skills.
Here's an overview of the technical skills you'll likely have to embark on our team:
5+ years of working experience in Machine Learning Engineering or closely related role
- Academic background in Computer Science, Data Science, Engineering or related quantitive field.
- Hands-on experience delivering production-level, cloud-native machine learning solutions, and a feel for the MLOps practices that make that sustainable.
- Excellent proficiency in Python and related practices (git, code review, linters, unit tests and CI/CD pipelines)
- Solid experience across a modern ML stack: gradient boosting (LightGBM, XGBoost), scikit-learn, PyTorch, MLflow, and current time series tooling
- Strong understanding of feature engineering, ML algorithms, model training and evaluation
- Outstanding proficiency in using Agentic AI tools like Cursor IDE and GitHub Copilot to accelerate code development, refactoring, and complex debugging
- Analytical mind with a strong problem-solving aptitude
- Experience collaborating with engineering and product development teams
- Fluency in English, both spoken and written
- We seek team members who live in Portugal or are willing and legally qualified to live and work there
The salary range for this position is 39 360,00€ - 60 600,00€ gross per year.
Get to know our tech stack:
- Python / Django / PyTorch
- Javascript (React.js, Angular.js, Vue.js, Node.js)
- Ruby / Ruby on Rails
- Git
- SQL (MySQL / PostgreSQL)
- Mobile development (iOS, Android, React Native)
- Linux / Mac OS - command line
- Automated provisioning tools (Docker / Ansible / Capistrano)
- NoSQL (Mongo, Redis, etc.)
- Photoshop / Figma
We want you to feel comfortable here. Get the best of your potential with our benefits:
- Salary according to your experience and performance
- Paid sick days
- Health and dental insurance
- Comfort budget
What you get:
- A remote-first company
- Flexible working hours
- Global projects with industry-leading clients
- A human-centric culture that values people and empowers them
- Informal environment
- Team events to share knowledge and celebrate collectively
- Mentoring and performance appraisals for solid growth potential
Does this sound exactly like what you’re looking for? Then apply now, and let's get the conversation started!
Similar roles
-
Senior Machine Learning Operations Engineer
GM Financial Irving, Texas, United States
-
Machine Learning Engineer (Remote)
StackAdapt United Kingdom · £82K–£113K/yr
-
Senior Machine Learning Engineer
Oredata Yazılım Anonim Şirketi Istanbul, Istanbul, Turkey
-
Machine Learning Engineer
Orenda New York, New York, United States · $100K–$150K/yr
-
Senior Machine Learning Engineer
Sirius XM Radio Dublin, Leinster, Ireland
-
Applied Machine Learning Scientist (Remote)
StackAdapt Calgary, Alberta, Canada · $128K–$176K/yr