Design and deploy machine learning-based models and AI solutions that deliver measurable value for client organisations.
Develop AI agents and implement transformer-based model solutions to address client problems.
Collaborate directly with clients to understand business problems and translate them into technical ML solutions.
Develop, test, and deploy machine learning models on Google Cloud and integrate them into production environments.
Apply MLOps practices, version control (e.g., git), and agile working processes to maintain reproducible, production-ready pipelines.
Evaluate and incorporate new technologies and bring innovative ideas to projects and the wider team.
Provide expert advice and support to customers when defining effective data and ML solutions.
Gather and synthesise information from project team members and deliver concise updates to stakeholders.
Communicate results, provide constructive feedback, and maintain strong working relationships with clients and team members.

Requirements

Strong grasp of statistics and probability fundamentals.
Solid understanding of supervised and unsupervised machine learning algorithms.
Experience with transformer-based models and developing AI agents (preferred/required depending on project).
Strong Python and SQL skills.
Experience developing and deploying ML models on Google Cloud (GCP) and familiarity with Cloud ML tools.
Experience with version control (e.g., git), MLOps, and agile working practices.
Collaborative, proactive, logical, methodical, and attentive to detail with excellent verbal and written communication skills.
Ability to independently develop data solutions, rapidly adapt to new subject areas, and evaluate/incorporate new technologies.
Demonstrated persuasive communication, influencing, negotiation, and conflict-resolution skills when working with stakeholders.

Benefits

25 days annual leave, Juneteenth, your birthday off, and a paid office closure between Christmas and New Year’s.
Health insurance and 15 days of paid sickness and wellness days.
Generous learning and development budget and an annual leadership development programme.
Hybrid collaboration across two hubs in Portugal (Lisbon and Porto) with weekly meetings, company updates, team socials, and celebrations.
In-house DE&I council and mental health first-aiders to support inclusion and wellbeing.
A strong company culture focused on collaboration, diversity, and an accessible hiring process for all.

Interested in this position?

Apply directly on the company website

Apply Now

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