Senior Machine Learning Engineer

Imaginary Cloud · Portugal · posted Oct 14, 2026

Open to candidates in Portugal

$39k–$61ksenior

You apply on the company's own site. We never charge to apply.

What this role actually asks for

Extracted by RemoteHunt

Must have

  • •5+ years of experience in ML Engineering
  • •Production-level ML solutions
  • •Excellent Python proficiency
  • •Modern ML stack experience
  • •Strong understanding of ML algorithms
  • •Fluency in English

Nice to have

  • •Agentic AI tools experience
  • •Experience with MLOps

Tools and technologies

PythonDjangoPyTorchJavascriptReact.jsAngular.jsVue.jsNode.jsRubyRuby on RailsGitSQLMySQLPostgreSQLiOS

Languages required

en

Worth checking before you apply

  • ⚠office-required

The full posting

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!

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