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Principal Machine Learning Scientist

Posted 22 days ago

  • London, Greater London
  • Any
  • External
  • Expires In 2 months
Role Overview
Join us as a Principal Machine Learning Engineer, leading the charge in merging cloud infrastructure, DevOps, and machine learning to automate and deploy advanced computational processes. This crucial role focuses on crafting sophisticated machine-learning models for diverse industries, driving our technological evolution.
Key Responsibilities
- Architect Machine Learning Pipelines: Design and implement robust pipelines for complex data workflows, ensuring scalability, efficiency, and seamless data flow from ingestion to deployment
in collaboration with Software team.
- Ensure Data Integrity: Conduct data audits, cleanse data, and strategize on acquiring quality data to power insightful models.
- Develop Scalable Algorithms: Create algorithms that are accurate and adaptable, ensuring reliable predictions across evolving datasets.
- Prototype to Production: Collaborate with the engineering team to transition analytical prototypes into optimized, scalable, and integrated production applications.
- Drive Business Insights: Extract actionable insights from data to inform strategic decisions and promote business improvements, communicating findings clearly to stakeholders.
Required Qualifications
- Master’s degree (or equivalent) in a quantitative field (e.g., Computer Science, Engineering).
- 7+ years in quantitative analytics or data modeling, with a deep understanding of machine learning, predictive modelling, and algorithms.
- Proficiency in Python and SQL.
Nice to Have
- Leadership and project management experience, with a knack for leading cross-functional teams and mentoring.
- Advanced analytical skills, with experience in deep learning and knowledge of neural networks (TensorFlow, PyTorch).
- Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices, including tools like MLFlow, BentoML, and Evidently AI.
- Awareness of AI ethics, privacy considerations, and a commitment to continuous learning in the rapidly evolving ML/AI field.
Employee Benefits
At Intelmatix, our benefits package is designed to meet the diverse needs of our employees, reflecting our dedication to their well-being and professional growth. Depending on your office location and specific needs, our benefits may include:
- Comprehensive Medical Insurance for you and your dependents
- In-Office Snacks Pantry
- Relocation Support
- Children's School Allowance
- Role-Related Training Support
- Wellness Programs
- Salary Advance for Housing Costs
- Travel Tickets
- Pension Contributions
We are committed to continuously enhancing our benefits package to adapt to the unique needs and circumstances of our valued team members, ensuring a supportive and enriching environment for everyone at Intelmatix.
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