Machine Learning Engineer / MLOps Engineer

IT, Dados & TelecomEngenhariaITTempo inteiroMédio
€21k–€26k / ano

Back to Open Positions Machine Learning Engineer / MLOps Engineer Python | SQL | TensorFlow | PyTorch | Scikit-learn | AWS | Google Cloud | Azure | GitHub Actions | Jenkins | Git | Docker | Kubernetes | FastAPI | Flask | pytest | unittest We are looking for an experienced Machine Learning Engineer / MLOps Engineer to help build, deploy, and maintain robust machine learning solutions in production. This is a hybrid role based in Lisbon, ideal for someone with strong Python skills, solid MLOps experience, and hands-on knowledge of cloud environments, CI/CD, containerisation, and model deployment. You will work closely with Data Scientists and Engineers to ensure machine learning models are well-structured, versioned, tested, optimised, and deployed using modern MLOps practices. 3+ years Full Time Hybrid Lisbon (Portugal) €21,000–€26,000 gross per year Salary Range* Job No. 873

Key Responsibilities

Collaborate closely with Data Scientists and Engineers to align models, data, and operational workflows. Build, deploy, and maintain ML pipelines and production-ready model-serving solutions. Implement CI/CD processes to support reliable and repeatable deployments. Write clean, testable, reusable, and well-structured Python code for machine learning applications. Manage model versioning, optimisation, and deployment across cloud environments. Develop and maintain APIs for model inference using FastAPI or Flask. Deploy models using Docker or Kubernetes. Support model optimisation and compression activities. Troubleshoot production issues and take ownership of operational fixes. Apply version control, pull requests, code reviews, and ML-specific versioning practices. Continuously improve ML engineering and MLOps practices as technologies and standards evolve.

Knowledge, Skills and Experience

3+ years of professional experience in Machine Learning. Strong Python skills, including project structuring, reusable and testable code, object-oriented programming, and design patterns. Experience with Python testing frameworks such as pytest or unittest. Strong SQL skills for querying and manipulating data to support model development. Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience or familiarity with AWS, Google Cloud, or Azure for running and integrating machine learning workloads. Experience building and maintaining CI/CD pipelines using GitHub Actions or Jenkins. Solid understanding of MLOps fundamentals, including Git versioning, pull requests, code reviews, and ML-specific versioning practices. Experience deploying models using Docker or Kubernetes. Knowledge of model optimisation and compression. Experience building model-serving APIs using FastAPI or Flask. Strong troubleshooting and problem-solving skills. Ability to work collaboratively and take ownership of operational deliverables.

Nice to Have

Basic knowledge of Java or Scala for integration with existing systems.

Salary & Benefits

Gross annual salary: €21,000–€26,000, depending on experience and suitability for the role. Meal allowance. Flexible benefits package. Extra day off on your birthday. One additional day off on either 24 December or 31 December. posted September 21, 2026 Salary ranges shown are indicative. Final compensation is determined by experience, seniority, profile fit, and the scope of responsibilities involved. Apply to this position Take the next step in your career— apply now and be part of something extraordinary . Fields marked by an asterisk () are required to submit this form Name* Email* Phone number Please include your country code. Resume* Please upload your resume in PDF, DOC, or DOCX format, with a maximum file size of 5MB. Why would you like to work with us? Please confirm your current country and city/region of residence* Based on the location requirements mentioned in the job advert, please select the option that best applies to you:* Select I meet the requirement I can commute I would relocate I don't meet the requirement I'm not sure I agree to the Terms and Conditions [hidden page-title default:"[_post_title] "] This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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