Experts
Senior Machine Learning Scientist – London, England, United Kingdom in IT & DevOps Department
in GoDaddy - United Kingdom, London

Hybrid
Full-time
Senior
Permanent

Job description

See job offer description.


GoDaddy is seeking a Senior Machine Learning Scientist to join their DnAI team, contributing to innovative machine learning models for Pricing + Bundling and Generative AI projects. The role involves developing and implementing sophisticated algorithms using PyTorch, refining ML models for better performance, and analyzing complex datasets to ensure precision and efficiency. Candidates will stay current with ML and AI developments, collaborating across teams to integrate ML solutions into broader product and platform initiatives. Responsibilities include developing standardized model evaluation, validation, and deployment processes, and spearheading the adoption of cutting-edge ML technologies to maintain competitive advantage. Candidates should have 4+ years overall experience with at least 2 years in machine learning engineering or related roles, proficiency in Python, deep understanding of ML algorithms including supervised/unsupervised learning, deep learning, computer vision, natural language processing, and experience building production ML models using AWS, especially SageMaker. The candidate must work autonomously and collaboratively, possess strong communication skills, and be familiar with unit testing, documentation, and software engineering methodologies like version control and CI/CD. Preferred qualifications include a Master’s degree or equivalent, experience with large-scale datasets, ML lifecycle tools like Mlflow, frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, and familiarity with containerization and orchestration tools like Docker and Airflow. GoDaddy offers various benefits including paid time off, retirement savings, bonuses, equity grants, competitive health benefits, parental leave, and employee resource groups, fostering an inclusive, diverse workplace that empowers entrepreneurs worldwide. The position is hybrid with flexible on-site requirements to accommodate work-life balance.

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Benefits

  • Paid time off
  • Retirement savings plans (e.g., 401k)
  • Bonus/incentive eligibility
  • Equity grants
  • Employee stock purchase plan
  • Competitive health benefits
  • Parental leave and family-friendly benefits
  • Diversity and inclusion initiatives

Job requirements

  • 4+ years experience in ML or related roles
  • Proficiency in Python
  • Strong understanding of ML algorithms
  • Experience with AWS and SageMaker
  • Independent and team collaboration skills
  • Excellent communication and presentation skills
  • Knowledge of software engineering practices (version control, CI/CD)
  • Unit testing and documentation experience
  • Master’s degree or equivalent preferred
  • Experience with ML tools like Mlflow
  • Familiarity with ML frameworks (TensorFlow, PyTorch, Keras)
  • Understanding of containerization and orchestration tools
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