Biotech AI Deployment Engineer β€” Customer-Facing

Biotech AI Deployment Engineer β€” Customer-Facing

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Integrate AI models into pharma workflows and collaborate closely with customers.
  • Company: Latent Labs Ltd., a leader in biotech innovation.
  • Benefits: Health insurance, pension contributions, and generous leave policies.
  • Other info: Exciting opportunities for growth in a dynamic industry.
  • Why this job: Be at the forefront of AI in biotech and make a real difference.
  • Qualifications: Strong background in computer science or machine learning, with customer-facing experience.

The predicted salary is between 70000 - 90000 Β£ per year.

Latent Labs Ltd. is seeking a Forward Deployed AI Engineer to integrate generative models into pharmaceutical workflows. The role involves close customer collaboration, ensuring seamless tech deployment, and driving product feedback.

You will need a strong background in computer science or machine learning, API development, and cloud infrastructure, ideally with previous customer-facing experience.

Competitive perks include health insurance, pension contributions, and generous leave policies.

Biotech AI Deployment Engineer β€” Customer-Facing employer: Latent Labs Ltd.

Latent Labs Ltd. is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving biotech sector. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work closely with customers, making a tangible impact in pharmaceutical workflows. Located in a vibrant area, the company provides competitive benefits including health insurance, pension contributions, and generous leave policies, ensuring a rewarding and supportive work environment.

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Contact Details:

Latent Labs Ltd. Recruitment Team

We think you need these skills to ace Biotech AI Deployment Engineer β€” Customer-Facing

Generative Models
Pharmaceutical Workflows
Customer Collaboration
Tech Deployment
Product Feedback
Computer Science
Machine Learning