Lead AI Engineer - GenAI & MLOps Innovator in Hook

Lead AI Engineer - GenAI & MLOps Innovator in Hook

Hook Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Elanco Tiergesundheit AG

At a Glance

  • Tasks: Lead a team to build and deploy innovative AI solutions for animals and customers.
  • Company: Join Elanco, a leader in AI technology for the animal health industry.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Flexible work arrangement with three days in the Hook office.
  • Why this job: Make a real impact with cutting-edge AI while working in a supportive team environment.
  • Qualifications: Expertise in NLP, LLMs, MLOps, and modern cloud architectures required.

The predicted salary is between 80000 - 100000 Β£ per year.

Elanco is seeking a Lead Engineer to join our Enterprise AI team in the United Kingdom.

You will lead a team to build, deploy, and support Gen AI capabilities across our business, delivering secure and reliable AI solutions for animals and customers.

The role requires deep expertise in NLP, LLMs, and MLOps, plus modern cloud architectures. Hybrid work is available with three days per week in the Hook office, UK.

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Lead AI Engineer - GenAI & MLOps Innovator in Hook employer: Elanco Tiergesundheit AG

Elanco Tiergesundheit AG is an excellent employer that fosters a culture of diversity and innovation, making it a rewarding place to work for those passionate about animal health. With a strong emphasis on employee growth and development, the company offers comprehensive training opportunities and a supportive environment that encourages collaboration and excellence. Located in the UK, Elanco provides a unique chance to contribute to meaningful projects while enjoying a balanced work-life dynamic.

Elanco Tiergesundheit AG

Contact Details:

Elanco Tiergesundheit AG Recruitment Team

We think you need these skills to ace Lead AI Engineer - GenAI & MLOps Innovator in Hook

NLP (Natural Language Processing)
LLMs (Large Language Models)
MLOps
Cloud Architectures
AI Solutions Development
Team Leadership
Deployment of AI Capabilities