Foundation Model Engineer: Build & Optimize LLMs End-to-End in Cambridge

Foundation Model Engineer: Build & Optimize LLMs End-to-End in Cambridge

Cambridge Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build, train, and optimise large language models in a collaborative environment.
  • Company: CommonAI CIC, an innovative tech company based in Cambridge.
  • Benefits: Competitive salary, professional development, and a supportive team culture.
  • Other info: Exciting opportunities for career growth in a dynamic field.
  • Why this job: Join us to shape the future of AI with cutting-edge technology.
  • Qualifications: Experience in model training, Python proficiency, and knowledge of ML frameworks.

The predicted salary is between 63000 - 77000 Β£ per year.

Common AI CIC in Cambridge seeks a highly skilled foundation model engineer to build, train, evaluate, and deploy LLMs or multimodal models.

This role emphasizes end-to-end model development, focusing on data pipelines and system performance.

Candidates should have proven experience in training models, proficiency in Python, and knowledge of ML frameworks.

Offers a collaborative environment, competitive salary, and professional development opportunities. #J-18808-Ljbffr

Foundation Model Engineer: Build & Optimize LLMs End-to-End in Cambridge employer: CommonAI CIC

CommonAI CIC in Cambridge is an exceptional employer, offering a collaborative work environment where innovation thrives. With a focus on professional development and competitive salaries, employees are encouraged to grow their skills in cutting-edge technologies while contributing to meaningful projects in the field of AI. The vibrant culture and commitment to employee well-being make it an attractive place for those seeking rewarding careers in model engineering.

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Contact Details:

CommonAI CIC Recruitment Team

We think you need these skills to ace Foundation Model Engineer: Build & Optimize LLMs End-to-End in Cambridge

Foundation Model Development
Training Models
End-to-End Model Development
Data Pipelines
System Performance Optimization
Proficiency in Python
Knowledge of ML Frameworks