Artificial Intelligence Engineer

Direct message the job poster from g2 Recruitment

Connecting AI/Robotics experts with leading organisations across Europe.

Location: Fully Remote (Europe)

Salary: Competitive / Market Rate (€100K per year)

Company: g2

About the Role

I'm looking for an experienced AI Engineer with a strong foundation in Python, machine learning, with text processing experience in business communication to help build and scale real-world AI solutions in the pharmaceutical space. This role requires more than just theoretical knowledge — we need professionals who have successfully delivered AI/ML projects into production and understand the full lifecycle, including considerations like data stability, legal constraints, and regulatory compliance.

Key Responsibilities

• Design, develop, and deploy NLP and ML models to solve complex business problems in the pharmaceutical domain.

• Collaborate cross-functionally with business analysts, product managers, and domain experts to translate requirements into technical solutions.

• Work with large-scale text datasets from clinical, regulatory, and operational sources.

• Ensure scalability, robustness, and compliance of deployed models.

• Contribute to architecture decisions and guide best practices for AI in production environments.

Required Skills & Experience

• Needs to have real life experience within taking projects from R&D stage through to production

• Strong proficiency in Python, especially for machine learning and NLP.

• Proven track record of delivering AI/ML projects to production.

• Deep understanding of text data processing, including unstructured data and domain-specific documents.

• Solid grasp of the ML model lifecycle, including data governance, versioning, validation, and post-deployment monitoring.

• Strong business communication skills – able to interface with cross-functional teams and act with a business analyst mindset.

• Fluent in English (spoken and written).

Preferred Qualifications

• Background or exposure to the pharmaceutical industry (R&D, clinical data, regulatory submissions, etc.).

• Experience handling sensitive or regulated data (e.g., patient records, compliance-critical datasets).

• Knowledge of pharma-specific challenges like stability data, trial protocols, safety submissions, etc.

Why Join Us?

• Be part of a full-service pharma ecosystem — from R&D to global logistics.

• Tackle real-world AI problems with measurable impact.

• Work remotely with a globally distributed, cross-functional team.

• Engage in projects that make a difference in healthcare, patient outcomes, and drug accessibility.

Seniority level

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Seniority level

Mid-Senior level

Employment type

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Employment type

Full-time

Job function

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Job function

Information Technology and Engineering

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Industries

Pharmaceutical Manufacturing

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