39 Empregos para Engenharia De Machine Learning - Portugal

We're looking for an
AI Researcher
to join our team and work on the development of
next-generation AI architectures
. If you're curious, love to experiment, and know how to turn ideas into real-world solutions, this role is for you.

What You'll Do:

• Design and test
  new AI architectures
  .
• Develop
  complex workflows that connect multiple models
  , e.g.:
• → transcription → generation → response → feedback.
• Structure experiments with clear methods and evaluation frameworks.
• Implement integrations using
  Model Context Protocol (MCP)
  or other advanced techniques.
• Explore
  prompt engineering
  strategies in a systematic way.
• Collaborate with engineering and product teams to
  bring prototypes to production
  .

Tech Stack:

• Python
  , including asynchronous programming (multiple concurrent flows).
• Hugging Face
  (Transformers / Datasets),
  Scikit-learn
  .
• LLM APIs
  (OpenAI, Anthropic, or equivalent).
• LangChain
  ,
  LangGraph
  ,
  LangSmith
  .
• Tavily
  or similar platforms enabling LLM-based web navigation.
• Pydantic
  or
  JSON Schema
  for structured outputs.
• Docker
  and containerization methods.
• Weights & Biases
  or
  MLflow
  for experimentation and tracking.

What We're Looking For:

• Strong experience in
  Python
  and working with
  multimodal models / LLMs
  .
• Ability to
  structure complex workflows
  and think at a systems level.
• Knowledge of
  real-time systems
  .
• Master's or Ph.D.
  in Data Science, AI, or a related field.
• Strong collaboration skills with multidisciplinary teams.

Nice to have:

• Publications in AI journals or conferences.
• Relevant open-source contributions.
• Experience in applied research environments or deep tech startups.

What We Offer:

• Cutting-edge projects in
  Generative and Multimodal AI
  .
• A collaborative and multidisciplinary environment.
• Freedom to explore, innovate, and publish.
• Competitive salary and attractive benefits.

If you're passionate about applied AI and want to work at the
frontier of innovation
, we'd love to hear from you.

Apply directly here on LinkedIn

We are seeking an AI Consultant to be part of an innovative project in a top tier fintech organization.

The perfect consultant should be able to perform integrations with the following tasks:

• In depth analysis of machine learning models
• strategic vision in relation to AI based digital transformation
• LLMs
• Market analysis

The main focus is to help design and orchestrate virtual AI teams (multi-agent systems) that collaborate like human teams — including role assignment, task decomposition, and feedback loops — to deliver scalable, autonomous solutions.

Proven capacity and ate least 1
year of experience working fulltime on AI Innovation is Mandatory
.

This position requires English as mandatory and on-site work at the office (1x / week) in Porto.

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• R&D (Bootcamps, POC, Tech Lab);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Team Building activities;
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

• Develop and implement machine learning models tailored to CRM and platform contexts.
• Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
• Create and manage automated data pipelines for efficient data processing and model deployment.
• Ensure seamless integration of machine learning models into existing systems and workflows.
• Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
• Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
• Utilize Azure Databricks for data processing, model training, and deployment.
• Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
• Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
• Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.

You must have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.

• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.

• Experience with pipeline automation and data flow monitoring.

• Hands-on experience with Azure Databricks for data processing and machine learning tasks.

• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.

• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).

• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Familiarity with DevOps practices and tools is a plus.

• Experience with CRM platforms and customer data analytics is an advantage.

• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.

• Availability to go to the office, twice a week.

If you want to be part of a real People First organization, join us! Send your CV to

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• R&D (Bootcamps, POC, Tech Lab);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Team Building activities;
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

• Develop and implement machine learning models tailored to CRM and platform contexts.
• Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
• Create and manage automated data pipelines for efficient data processing and model deployment.
• Ensure seamless integration of machine learning models into existing systems and workflows.
• Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
• Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
• Utilize Azure Databricks for data processing, model training, and deployment.
• Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
• Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
• Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.

You must have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.

• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.

• Experience with pipeline automation and data flow monitoring.

• Hands-on experience with Azure Databricks for data processing and machine learning tasks.

• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.

• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).

• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Familiarity with DevOps practices and tools is a plus.

• Experience with CRM platforms and customer data analytics is an advantage.

• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.

• Availability to go to the office, twice a week.

If you want to be part of a real People First organization, join us! Send your CV to

Dotmoovs
is a pioneering startup that combines advanced computer vision algorithms with a global competitive environment for sports. The platform leverages state-of-the-art artificial intelligence (AI) to analyze videos of users performing different exercises in real-time.

This AI-based system functions as a virtual referee, assessing the performance of participants.

The core concept of Dotmoovs revolves around bridging the gap between physical and geographical limitations in sports. It provides a unique solution for amateur athletes and sports enthusiasts to engage in competitive activities, regardless of their location. Users can challenge friends or similarly skilled players from anywhere in the world in their favorite sports.

Locations Supported

This role is on site, and requires you to spend your time in our office in Braga.

About The Opportunity:

Imagine being part of a cutting-edge team where your work not only contributes to the next big technological advancement but also shapes the future of how we interact with sports. At Dotmoovs, you're not just an engineer; you're a trailblazer at the forefront of an exciting, evolving landscape. As a Machine Learning Engineer in our innovative team, you will play a crucial role in developing and improving our AI-driven system, enabling it to analyze and interpret user performance through video in real-time. Your success in this role will be marked by your ability to deliver scalable, robust, and efficient machine learning solutions. You will be a key player in advancing the machine learning models that power our products, contributing significantly to the technological advancement of our platform.

What we offer:

• Competitive Salary + bonus (adjusted according to experience and achievements)
• Flexible and fast-paced environment
• Team events in very cool locations
• Shaping the future of sports
• Other agreed tailored benefits to your needs

Responsibilities:

• Technical Research and Model Development:
  Proactively research and implement cutting-edge machine learning models, especially in the areas of computer vision and deep learning, contributing to continuous improvements in our AI-driven solutions.
• Data Pipeline and Model Training:
  Design and build scalable data pipelines, manage training and testing of models, and ensure models are optimized for real-time performance.
• End-to-End Machine Learning System Management:
  Oversee the specification, development, training, deployment, and continuous monitoring of machine learning models to ensure they are performant and reliable in production environments.
• Code and Model Quality Assurance:
  Conduct thorough model evaluations and code reviews, sharing best practices with the team to maintain high-quality standards.
• Collaborative Teamwork:
  Work closely with product managers, data scientists, and engineers to integrate AI solutions into the broader system, ensuring seamless and reliable functionality.
• Performance and Security:
  Focus on optimizing model performance, minimizing latency, and ensuring adherence to security standards in handling user data.
• Innovation and Continuous Learning:
  Stay updated on emerging trends in machine learning, AI, and related technologies, and apply innovative solutions to enhance our AI capabilities and development workflows.

Minimum Qualifications:

• Education Background:
  Master's degree in IT Engineering, preferably from leading Portuguese universities (e.g., University of Minho, FEUP, IST).
• Professional Experience:
  1-3 years of experience working with machine learning algorithms, with a particular focus on computer vision and deep learning techniques.
• Technical Expertise:
  Strong experience with Python and popular machine learning frameworks such as TensorFlow, PyTorch, or JAX.
• Cloud Experience:
  Familiarity with cloud platforms, preferably Google Cloud Platform (GCP), for deploying and scaling AI models.
• Language Proficiency:
  Fluent in Portuguese and English.

Nice-to-have:

• Contributions to public GitHub repositories with relevant projects.
• Hands-on experience with video processing and real-time model deployment.
• Proactive and eager to solve complex challenges within a fast-paced environment.

How to Apply:

Please fill out the form at:

Join us in shaping the future of sports and gaming through innovative solutions.

About Uphold
Uphold is a financial technology company that believes on-chain services are the future of finance. It provides modern infrastructure for on-chain payments, banking and investments. Offering Consumer Services, Business Services and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries.

Uphold strips away the complexity and lack of transparency to open up Web3 finance for everyone.

To learn more about Uphold, please visit

The Opportunity
Uphold is looking for a Machine Learning Engineer to join our Data team. This is an incredibly exciting opportunity where you'll get to join a team of engineers, scientists, and analysts who are passionate about data and technology with a great sense of collaboration and responsibility.

As a key member of our dynamic Data Team, you will play a crucial role in the development, deployment and maintenance of machine learning (ML) systems in production. You'll be working on a wide-range of use-cases including unsupervised and supervised machine learning and LLM-based solutions, from retrieval augmented generation (RAG) systems to agentic workflows. You will ensure the robustness and scalability of such systems, critical to support our product and/or internal processes.

At Uphold, you will be able to work in a very fertile environment to bring your ideas to life, while integrated in a fast-paced industry.

What You'll Be Doing Primarily

• Partner with Data Scientists and Data Engineers to deploy and maintain ML systems in production environments;
• Design and implement robust data pipelines and ML workflows using Python, SQL, Snowflake and AWS services;
• Build and maintain reusable components including feature stores, model registries, and experiment tracking systems;
• Implement best practices for monitoring model performance, data drift, and system health in production;
• Develop continuous integration and delivery (CI/CD) workflows for ML using tools like GitHub Actions or similar;
• Design and deploy LLM-based solutions such as retrieval-augmented generation (RAG) systems and intelligent AI agents using LLM frameworks such as LangChain, AutoGen or CrewAI;
• Collaborate with Product Managers and fellow Engineers to bring ML systems to life as product features;

Required Qualifications

• Bachelor's degree in a quantitative field such as Computer Science, Software Engineering, Data Science or related field.
• At least 2 to 3 years of professional experience working with ML in production environments.
• Good knowledge of ML algorithms, data pipelines and engineering best practices.
• Experience using cloud-based architectures for deploying ML solutions.
• Familiarity with experiment tracking and model registry tools such as MLflow or SageMaker.
• Good understanding of Large Language Models and generative AI foundations.
• Good knowledge of the software engineering best practices.
• Strong knowledge of Python and SQL.
• Experience working with data warehousing solutions and leveraging models in a cloud-based environment.
• Ability to lead small projects from conception and design through implementation to delivery and communication.
• Creativity, curiosity, and a growth mindset.
• Team player with the ability to work within cross-functional teams.
• Fluent written and oral English skills.

Bonus If You Have

• Advanced degree preferred.
• Exposure to MLOps tools (e.g. Kedro, MLflow, feast, Kubeflow, Sagemaker).
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (e.g. Kubernetes, Terraform).
• Experience working with database systems such as PostgreSQL and Snowflake.
• Open-source project contributions of any kind, such as tools developed to solve specific problems you've had or fixing issues on existing projects.

Importantly, if you're looking for a senior role with us, you will have achieved many of the things above while also providing mentorship to others, and have engaged in public speaking opportunities.

What We Have To Offer You

• An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep innovating and challenging more each day.
• An international team, in a cutting-edge field, working on the most fascinating projects.
• Growth and career opportunities, and the chance to be proactive and creative.
• A flexible and enthusiastic work environment that offers you snacks, a lot of coffee, and other great benefits.
• Open and transparent culture - we get together on a weekly basis to share updates, and strategic plans, and engage with each other informally over food and drinks.
• Interesting events that keep you connected with the team and celebrate our success.

Be part of a great company that is revolutionizing financial services. Apply now

EEOC Employer

We're proud to be an Equal Opportunity Employer and we celebrate our employees' differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us better.

WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade
.

We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom , Property24.

Join OLX and see how far you can go
.

JOIN OUR ML TEAM
We invite you to join a team that works with OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) across the entire EU region. A team that breaks through walls and builds cross-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others.

In your day-to-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LMM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day-to-day business of our customers.

What You Will Be Doing

• Work in the Data Science team focusing on the Motors vertical.
• You will help build the infrastructure needed to create agents as well as models, refine them for optimal performance, test them, and eventually deploy them to production.
• You will see your work in action and measure the true impact of your models on our platform.
• You will maintain strong relationships with stakeholders. This involves asking numerous questions to business people and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering, to get things done in an efficient and elegant manner.
• Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers).
• Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers.
• Collaborate with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform.
• You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Poland, Germany and Romania.
• Most importantly, you will have fun working with us :)

Who We Are Looking For

• At least 2 to 3 years of professional experience as an MLE
• Strong knowledge of GenAI and LLMs (you are able to deploy multi-agent systems as well and tracking their performance in Production)
• Good knowledge of the best engineering practices
• Experience with building data pipelines leveraging Airflow and AWS Batch Jobs
• Experience with serving machine learning models at scale
• Excellent knowledge of Python
• Experience in using machine learning frameworks in production settings: Scikit-Learn, Pytorch and Transformers
• Experience using cloud-based architectures for deploying machine learning solutions
• Proficient in English with excellent written and oral communication skills

Nice To Have

• Exposure to MLOps tools
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform
• Understanding of A/B testing and experimentation

Our Hiring Process

• Recruiter Interview
• Hiring Manager Interview
• Live Coding Interview
• System Design Interview

Our Benefits

• Permanent contract
• Salary + annual bonus up to 15% of your annual gross salary
• Work with and impact all OLX websites around the world
• Train and conference budget and free access to Udemy courses
• Health insurance and life insurance
• MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our office in Lisboa)

Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us

OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our
Privacy Statement
.