AI Engineer

Robert Half Technology are assisting a market-leading pharmaceuticals organisation to recruit an AI Engineer on a contract basis. Outside IR35. Hybrid working - London based.

Role The AI Engineer will design, develop, and implement AI and machine learning solutions to support data-driven decision-making and business innovation in pharmaceuticals. Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial operations. Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data. Integrate AI models with existing data pipelines, laboratory systems, and business applications. Ensure the reliability, scalability, and performance of AI systems across multiple platforms. Maintain clear documentation and contribute to best practices in model governance, regulatory compliance, and MLOps. Stay abreast of industry trends and emerging technologies in artificial intelligence and pharmaceuticals, continuously enhancing technical expertise.

Profile The AI Engineer will have proven experience developing and deploying machine learning models in a commercial or scientific environment. Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn. Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context. Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets. Excellent problem-solving and analytical skills, with a keen eye for accuracy and performance optimisation. Strong communication and collaboration skills, with the ability to work effectively across technical and business teams.

Company Market-leading pharmaceuticals organisation with offices in London. Hybrid working - two days per week on site.

Salary & BenefitsThe salary range or rates of pay are dependent upon your experience, qualifications, and training.

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