5918 English-speaking jobs in Lisbon

Machine Learning Engineer to design, build, and operate large-scale machine learning systems with a focus on recommendation engines. Develop and enhance recommendation systems, integrate ML models with data pipelines, and collaborate with teams to deliver production-ready solutions.

The Product Data Analyst will extract, analyze, and report data to drive performance insights and support business decisions. The analyst will identify, analyze, and interpret trends to optimize business performance and work with stakeholders to identify and prioritize business needs. The role requires at least 4 years of experience in a similar role, strong knowledge of SQL and Excel, and proficiency in English.

Brand Strategist will audit client accounts, develop tailored strategies, and guide clients through performance challenges and growth opportunities. Requires 3+ years of experience in Amazon advertising, digital marketing, or a related field.

The Compliance Control and Risk Management Controller will execute Cardif Compliance control plans in several countries, including preparation, execution, reporting, and sharing results. The role requires previous experience as a Compliance controller, fluency in English, and proficiency in Microsoft Office tools.

Leads the technical direction and operational governance of Threat Exposure and Vulnerability Management across heterogeneous environments. Oversees the full threat exposure lifecycle, ensuring integration with various security platforms. Collaborates with Threat Intelligence and other Cyber Functions to validate exploit paths and translate findings into actionable remediation.

Senior Cyber Analyst specializing in Threat Exposure Management for Identity. Oversees the evolution of the organization's threat exposure management lifecycle and reduction programs. Performs in-depth technical assessments of vulnerabilities and exposures across Identity environments. Collaborates with stakeholders to validate exploit paths, map findings to adversary TTPs, and translate technical risks into remediation actions. Requires 5-7+ years of experience in enterprise cyber security with demonstrable expertise in Threat Exposure Management, Vulnerability Management, Defensive and Offensive Security applied to Identity technologies.

Leads the technical direction and operational governance of Threat Exposure and Vulnerability Management across heterogeneous environments. Oversees the full threat exposure lifecycle, including asset discovery, scanning, enumeration, exploitability analysis, and remediation. Collaborates with Threat Intelligence, Red Team, and Incident Response to validate exploit paths and translate findings into actionable controls. Manages vulnerability and threat exposure across IT, OT/ICS, cloud, applications, data, identities, and AI/ML ecosystems.

Develop and implement operational processes across markets, act as Process Owner, define requirements for OSS systems, and optimize efficiency. Identify preferred infrastructure suppliers and develop strategic blueprints for supplier engagement. Drive Operational Readiness for new products and services, develop and rollout a Governance & Performance Review structure for FLM suppliers, and lead global projects.

Evaluate and analyze large language model outputs for accuracy, coherence, bias, and safety. Provide feedback to improve model performance and identify potential vulnerabilities. Collaborate with teams to refine evaluation guidelines and ensure consistent scoring standards.

The Legal Data Analyst collects, analyzes, and interprets legal and regulatory data to support decision-making, compliance, and risk management. This role translates complex legal information into actionable insights and supports the development of AI-driven legal solutions.

DevOps Engineer Annotator needed to review, annotate, and validate DevOps-related datasets and infrastructure configurations. Must have 3+ years of experience in DevOps Engineering and proficiency with CI/CD tools, containerization, cloud platforms, and monitoring tools.

Software Engineer Annotator needed to evaluate, label, and improve software engineering datasets for AI and LLM training. Requires 3-5 years of software engineering experience, strong programming skills (Python, Java, JavaScript, C++, or Go), and understanding of software engineering principles.

An RLHF Specialist designs, implements, and optimizes feedback pipelines to enhance AI model performance, safety, and alignment with human values. Responsibilities include generating preference data, designing prompts, writing explanations, and collaborating with engineers to analyze model behavior.

Evaluate and analyze large language model outputs for accuracy, coherence, bias, and safety. Provide feedback to improve model performance and identify potential vulnerabilities. Collaborate with teams to refine evaluation guidelines and ensure consistent scoring standards.

Full Stack Engineer Annotator assesses frontend and backend engineering datasets to ensure AI models accurately interpret full-stack workflows.

Leads and develops a data team, driving prioritization based on business value and feasibility. Manages stakeholder demand, oversees the development and operation of a GCP-based data platform, and collaborates with the Data Architect on target architecture and governance.

Leads a team of data scientists in developing and implementing machine learning algorithms for fraud detection and risk assessment. Manages projects, mentors team members, and ensures the delivery of high-impact solutions. Requires a Master's degree and 6+ years of experience designing and implementing machine learning algorithms.

Leads a team of data scientists in developing and implementing machine learning algorithms for fraud detection and risk assessment. Manages team members, fosters a collaborative environment, and ensures the delivery of high-impact solutions. Requires an M.Sc. in a relevant field, 6+ years of experience designing and implementing machine learning algorithms, and 3+ years of experience managing data science teams.

Senior Backend Developer will design and develop scalable architectures for machine learning systems and platforms. Responsibilities include collaborating with teams to ideate, design, and implement new features, executing code deployments, and overseeing post-deployment monitoring.

As a BI Developer, you will design and model data warehouses, pipelines, and data products. You will create ETL processes, define KPIs, and develop visualizations to support data-driven decision making.