Principal Machine Learning Engineer
Description For Principal Machine Learning Engineer
Datatonic, Google Cloud's premier partner in AI, is seeking a Principal Machine Learning Engineer to drive transformation for world-class businesses. This role combines hands-on technical expertise with leadership opportunities, perfect for those who excel in both engineering and client relations. You'll be at the forefront of AI innovation, working with cutting-edge technologies and solving complex problems.
The position requires expertise in Python programming, machine learning, and cloud platforms, particularly Google Cloud. You'll be responsible for everything from translating business requirements into technical solutions to implementing and optimizing ML models at scale. The role involves both technical delivery and client-facing responsibilities, making it ideal for those who can bridge the gap between technical excellence and business value.
The company offers a comprehensive benefits package including private health insurance, pension contributions, and various lifestyle perks. Working in a hybrid model, you'll join a team of AI enthusiasts and data experts who are shaping the future of technology. With opportunities for continuous learning and professional growth, this role offers a chance to make a significant impact in the AI and data space.
The ideal candidate brings 5+ years of ML engineering experience, strong programming skills, and excellent communication abilities. You'll work on innovative projects, leverage the latest in generative AI, and help clients navigate their AI transformation journey. If you're passionate about AI, love solving complex problems, and want to work with cutting-edge technology while leading important client initiatives, this role offers an exciting opportunity to advance your career.
Responsibilities For Principal Machine Learning Engineer
- Translate vague requirements and develop models to solve real-world problems
- Conduct ML experiments using programming languages with machine learning libraries
- Leverage generative AI to develop innovative solutions
- Optimize machine learning solutions for performance and scalability
- Implement tailored machine learning code to meet specific needs
- Ensure efficient data flow between databases and backend systems
- Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage
- Create machine learning architectures using Google Cloud tools and services
- Build and deploy production-grade software for machine learning and data-driven solutions
Requirements For Principal Machine Learning Engineer
- 5+ years as a Machine Learning Engineer, preferably with consulting background
- Proficiency in Python as a backend language
- Experience with cloud platforms such as Google Cloud, AWS, or Azure
- Hands-on experience with foundational software engineering practices
- Strong knowledge of SQL for querying and managing data
- Experience scaling computations using GPUs or distributed computing systems
- Familiarity with exposing machine learning components through web services
- Strong communication and presentation skills
Benefits For Principal Machine Learning Engineer
- 25 days holiday plus bank holidays
- Private health insurance (Vitality Health)
- Smart Health Services
- 50% gym membership discounts
- WFH allowance
- Access to Udemy learning platform
- Pension with up to 10% employer contribution
- Life Insurance (3x base salary)
- Income Protection (up to 75% of base salary)
- Cycle to Work Scheme
- Tech Scheme
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