Top Machine Learning Jobs in Portugal

The Credit Risk Manager will analyze data, develop risk management strategies, collaborate with cross-functional teams, and implement underwriting policies for credit cards.

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.

The role involves managing risk assessment processes, collaborating with stakeholders to improve risk posture, and leading projects while analyzing data to drive assessments.

The Decision Analytics Manager oversees projects and teams, providing technical guidance in data analytics and business strategies. Responsibilities include managing project scopes, mentoring staff, conducting analyses, and ensuring quality deliverables, while engaging with clients and driving business development efforts.

The Senior Data Analyst will support data governance initiatives, guide data management activities, assist with best practices, and contribute to metrics reporting.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.

Lead the design and implementation of data platforms, drive data engineering practices, manage teams, and develop actionable data-driven solutions in a retail environment.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The Quantitative Analyst will analyze models and model risk practices, applying statistical and machine learning methods while collaborating with cross-functional teams to enhance business strategies and performance.

As Vice President in Quantitative Research for Credit, you'll develop valuation models, automate processes, and provide analytical support for CLO business.

The Manager, Data Science will lead a team of data scientists in developing machine learning models and data analysis to enhance banking experiences and security.

Quantitative Research Engineers at Citadel develop technology to support trading strategies, create research platforms, and work collaboratively in a technical environment.

Interns will work on security and privacy challenges using systems programming, data analysis, and open-source development to enhance internet integrity and reliability.

The Senior Quantitative Analyst will define project objectives, manage projects, conduct data engineering, code, and ensure production compliance, while collaborating with stakeholders.

The Data Owner Senior Associate will manage data within key business applications, collaborate across teams, define critical data, and ensure data quality and governance.

As a Senior Applied Scientist, you will develop and deploy large language models, collaborate on AI projects, and improve AI features for Datadog.

The Principal Quantitative Analyst will apply quantitative analysis, machine learning, and statistical modeling to analyze risk, build data-driven solutions, and communicate insights across teams.

The Vice President will develop pricing models for equity derivatives, implement analytics, and contribute to innovative trading strategies using quantitative techniques.

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

Develop and implement software solutions for automated trading systems, utilizing advanced statistical techniques to solve financial challenges.

As a Quantitative Research Engineer Intern, you will develop and implement automated trading software while collaborating with the Quantitative Research team to solve complex financial challenges.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

The Senior Manager, Quantitative Analysis will validate economic forecasting models, enhance technical skills, and influence business strategies using quantitative analysis.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

As a PhD intern, utilize machine learning and AI to analyze data, implement algorithms, conduct research, and back-test models