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Top Machine Learning Jobs in Portugal

703+ Job Results
Yesterday
San Mateo, CA, USA
Hybrid
2,500 Employees
284K-332K Annually
5-7 Years of Experience
2,500 Employees
284K-332K Annually
5-7 Years of Experience
Computer Vision • Gaming • Software • Virtual Reality • Web3 • Metaverse
As a Principal Machine Learning Engineer, you will develop scalable ML systems for Roblox's Virtual Economy, overseeing design, collaborating with teams, mentoring junior engineers, and setting the direction for future ML initiatives.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
3 Days Ago
New York, NY, USA
Hybrid
55,000 Employees
275K-314K Annually
7+ Years of Experience
55,000 Employees
275K-314K Annually
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Distinguished Machine Learning Engineer, you will lead technical innovations in cloud banking at Capital One. You'll mentor team members, optimize business outcomes, and develop practical solutions for complex problems while promoting an inclusive tech culture.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
5 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models to analyze risk from various data sources. You'll work collaboratively in a sprint-driven environment and take ownership of your projects to drive insights into business risks.
5 Days Ago
New York, NY, USA
Remote
15 Employees
5-7 Years of Experience
15 Employees
5-7 Years of Experience
Artificial Intelligence • Insurance
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk, utilizing various structured and unstructured data sources. You will have ownership of projects, collaborating closely with Product Management and Software Engineers within a two-week sprint environment.
5 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
As a Machine Learning Engineer, you will lead the design, development, and deployment of machine learning models to assess risk for businesses. You will utilize vast amounts of structured and unstructured data from various sources to generate insights. Team members manage their own projects and collaborate closely with product management and software engineers in a sprint-based environment.
5 Days Ago
New York, NY, USA
Remote
15 Employees
5-7 Years of Experience
15 Employees
5-7 Years of Experience
Artificial Intelligence • Insurance
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess the risk of various businesses, working with large datasets to derive insights. You will collaborate with Product Management and Software Engineers in an agile environment, ensuring project alignment and ownership.
5 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
As a Machine Learning Engineer at Kalepa, you will lead the framing, development, and deployment of machine learning models to analyze risk in various businesses, leveraging extensive data sources including web data and satellite imaging. You will work collaboratively with a team in a fast-paced, agile environment to deliver insights that enhance client performance.
3 Days Ago
Richmond, VA, USA
Hybrid
55,000 Employees
275K-314K Annually
7+ Years of Experience
55,000 Employees
275K-314K Annually
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Distinguished Machine Learning Engineer, you will drive innovation and technical solutions, mentor teams, and lead the development and implementation of initiatives in the Bank Tech organization, focusing on cloud technologies.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More

Featured Jobs

3 Days Ago
Philadelphia, PA, USA
Hybrid
55,000 Employees
275K-314K Annually
7+ Years of Experience
55,000 Employees
275K-314K Annually
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
The Distinguished Machine Learning Engineer at Capital One will lead technical innovation in banking technology, focusing on developing solutions that drive business outcomes. Responsibilities include mentoring talent, managing multiple projects, ensuring technical design quality, and exploring new cloud technologies while promoting best practices across the organization.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
5 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models aimed at assessing business risks using diverse structured and unstructured data sources. You will drive project direction with complete ownership, collaborating closely with cross-functional teams in a two-week sprint environment.
6 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
As a Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess risks for various businesses, utilizing structured and unstructured data sources. You will own projects and collaborate closely with Product Management and Software Engineers within a two-week sprint framework.
5 Days Ago
New York, NY, USA
Remote
15 Employees
5-7 Years of Experience
15 Employees
5-7 Years of Experience
Artificial Intelligence • Insurance
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risk using large datasets from varied sources. You will work in agile sprints and collaborate with Product Management and Software Engineers, taking full ownership of your projects.
4 Days Ago
New York, NY, USA
Remote
15 Employees
5-7 Years of Experience
15 Employees
5-7 Years of Experience
Artificial Intelligence • Insurance
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risks using structured and unstructured data. This role involves ownership of projects with a collaborative approach alongside Product Management and Software Engineers in a sprint environment.
3 Days Ago
McLean, VA, USA
Hybrid
55,000 Employees
275K-314K Annually
7+ Years of Experience
55,000 Employees
275K-314K Annually
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Distinguished Machine Learning Engineer, you will lead the development and implementation of innovative cloud-based solutions within the Bank Tech organization. Responsibilities include driving technical vision, decomposing complex problems, ensuring quality in design, mentoring peers, and exploring new cloud technologies to enhance business initiatives.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
5 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
The Machine Learning Engineer will be responsible for leading the development and deployment of machine learning models to assess the risk of different business classes. This role involves working with both structured and unstructured data from various sources to generate insights regarding behavior and risk, with a focus on project ownership within a two-week sprint framework.
7 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
As a Machine Learning Engineer at Kalepa, you will be responsible for leading the development and deployment of machine learning models to assess business risks. You will analyze large datasets from various sources to extract insights and are expected to own and drive your projects within a sprint-based framework in collaboration with Product Management and Software Engineers.
5 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
The Machine Learning Engineer will lead the development and deployment of machine learning models to assess the risks associated with various businesses by analyzing structured and unstructured data from multiple sources.
6 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
Kalepa is seeking a Machine Learning Engineer to lead the development, framing, and deployment of machine learning models to analyze risk across different classes of businesses. Responsibilities include turning structured and unstructured data into insights and collaborating closely with Product Management and Software Engineers.
7 Days Ago
New York, NY, USA
Remote
15 Employees
5-7 Years of Experience
15 Employees
5-7 Years of Experience
Artificial Intelligence • Insurance
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess risks for various businesses, utilizing structured and unstructured data. You will have ownership of projects and collaborate closely with Product Management and Software Engineers in a two-week sprint cycle.
7 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
As a Machine Learning Engineer at Kalepa, you will develop and deploy machine learning models to assess the risk associated with various businesses. You will utilize structured and unstructured data, work closely with Product Management and Software Engineers, and have full ownership over project direction in a sprint-based team environment.
6 Days Ago
New York, NY, USA
Remote
15 Employees
5-7 Years of Experience
15 Employees
5-7 Years of Experience
Artificial Intelligence • Insurance
The Senior Machine Learning Engineer will lead the framing, development, and deployment of machine learning models to analyze risks for various types of businesses. The role involves processing large datasets from diverse sources and requires collaboration with Product Management and Software Engineers.
7 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
As a Machine Learning Engineer at Kalepa, you will lead the design, development, and deployment of machine learning models to evaluate business risks. Handling both structured and unstructured data, you'll generate insights and collaborate with product and software teams to drive project direction in a fast-paced environment.
6 Days Ago
New York, NY, USA
Remote
15 Employees
5-7 Years of Experience
15 Employees
5-7 Years of Experience
Artificial Intelligence • Insurance
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to assess business risk. Responsibilities include handling large volumes of both structured and unstructured data to derive insights, with full ownership of projects in a fast-paced team environment.
5 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
Kalepa seeks a Machine Learning Engineer to lead the development and deployment of machine learning models. Responsibilities include transforming structured and unstructured data into insights about risk, collaborating with team members, and driving project direction. Candidates should have significant experience in machine learning.
5 Days Ago
New York, NY, USA
Remote
15 Employees
3-5 Years of Experience
15 Employees
3-5 Years of Experience
Artificial Intelligence • Insurance
The Machine Learning Engineer will develop and deploy machine learning models at scale to analyze risks associated with various businesses, utilizing both structured and unstructured data from diverse sources. Collaborating closely with product management and software engineers, they will have full ownership of their projects and work within a two-week sprint framework.
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