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Open nowFirst seen 36 hours ago

Machine Learning Engineer

WIRE IT36 open roles

Where
Porto, Portugal
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Your applicationOpen nowMachine Learning EngineerWIRE IT · Porto, Portugal

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on WIRE IT's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. WIRE IT postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 36 hours ago

WIRE IT median: 1 days open

The posting

Based in Portugal, Wire IT is your specialized IT consulting partner with 18 years of experience driven by an experienced and senior team that helps clients make the right decisions in a fast-moving market.

Wire IT's ambition is to grow while keeping true to its nature: agile, people-centered, and fun. As we like to say: Its not only what we do, its how we manage that truly make the difference..

If you're looking for more than just a job - if you're looking for a place where you can truly make a difference - you might be the next person to join WIRE IT.

Role: Machine Learning Engineer (MLOps)

Location: Hybrid (2x/week in the office), Vila Nova de Gaia / Porto, Portugal

Required skills:

  • Minimum 3 years of professional experience in Software Engineering or Machine Learning Engineering.
  • Strong Python skills, including testing, packaging, API development, and code review.
  • Practical experience deploying and operating Machine Learning models in production environments.
  • Experience with CI/CD pipelines, model registration, and lifecycle management using MLflow or similar platforms.
  • Experience building reproducible ML training workflows and managing model deployment, monitoring, retraining, and rollback procedures.
  • Experience with batch and real-time model serving.
  • Knowledge of containers and distributed processing using Spark.
  • Experience implementing model monitoring, data and prediction drift detection, alerting, and Service Level Objectives (SLOs).
  • Working knowledge of Microsoft Azure and Infrastructure as Code concepts.
  • Understanding of the end-to-end Machine Learning lifecycle, from experimentation to production deployment.
  • Experience developing APIs and integrating ML models into business applications and operational systems.
  • Knowledge of model evaluation metrics, production monitoring, and performance optimization.
  • Ability to refactor data science code into maintainable, tested production services and reusable libraries.
  • Strong understanding of MLOps practices, production readiness, incident response, and model lifecycle management.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
  • Fluent English (mandatory).

Nice to have:

  • Experience with real-time decisioning in payments, fintech, fraud detection, or credit-related environments.
  • Experience operating LLM-based applications in production, including LLMOps, AgentOps, model evaluation, tracing, prompt versioning, and AI guardrails.
  • Experience with Feature Stores and continuous-training pipelines.
  • Knowledge of event-driven architectures using Kafka and low-latency inference solutions.
  • Experience with Azure ML, Terraform, and container-based serving platforms.
  • Understanding of model risk management and EU AI Act requirements.
  • Master's degree in Computer Science, Machine Learning, or a related field.
  • Azure, Databricks, or Machine Learning Engineering certifications.

We offer:

  • ­No-term full-time contract;
  • Health Insurance;
  • 22 days of paid vacation;
  • 4 extra days annually (Carnival, Christmas Eve, New Year's Eve, Birthday);
  • Meal Allowance on card (Coverflex);
  • Referral Bonus;
  • Special discounts and flex options;
  • Training annual budget;
  • A great team-oriented culture;
  • Chance to become a part of a dynamically growing international company;
  • Challenging projects giving the unique opportunity to grow and learn.

Following the EU General Data Protection Regulation No. 2016/679, we inform you that by responding to this announcement, you consent to the use of your data by Wire IT, for as long as necessary. In case of doubt or request for elimination of your personal data, please send an email to [email protected]

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against WIRE IT's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on WIRE IT's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    WIRE IT's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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