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For Companies At a Glance
- Tasks: Lead the AI platform, solve complex challenges, and mentor junior engineers.
- Company: On is a dynamic company focused on leveraging data and machine learning for growth.
- Benefits: Enjoy a collaborative environment with opportunities for innovation and professional development.
- Why this job: Join a passionate team and make a real impact in AI/ML solutions across various domains.
- Qualifications: Deep expertise in machine learning, technical leadership, and cloud platform experience required.
- Other info: Be part of a diverse team dedicated to revolutionizing AI applications.
The predicted salary is between 54000 - 84000 £ per year.
Team for Career Site
Technology
In short
In the dynamic landscape of On, Data and Machine Learning play a crucial role in accelerating our business growth and operations. We are enhancing our technology landscape to fuel the growth of On, helping to ignite the human spirit through movement.
Your mission
– Lead the AI Platform Domain: Provide technical leadership and architectural vision for On’s AI platform. Drive the strategy, development and implementation of scalable, reliable, and efficient machine learning solutions.
– Solve Complex Challenges: Tackle On’s most challenging problems using cutting-edge machine learning techniques. Develop and deploy models that optimize e-commerce experiences, streamline supply chain operations, and unlock new business opportunities. This includes building impactful recommendation systems and contributing to data-driven product development.
– Champion AI/ML Best Practices: Be a passionate advocate for AI/ML within On. Promote best practices in model development, deployment, and monitoring. Educate and mentor other engineers and data scientists on the latest advancements in the field.
– Collaborate and Mentor: Work closely with data engineers, data scientists, and product teams to integrate machine learning solutions into On’s technology ecosystem. Mentor and guide junior engineers, fostering a culture of learning and growth.
– Drive Innovation: Stay at the forefront of machine learning research and development. Identify and evaluate new technologies and techniques to enhance On’s AI capabilities.
Your story
– Deep Machine Learning Expertise: You possess extensive experience in designing, developing, and deploying machine learning models in production environments. You have a strong theoretical foundation and practical expertise in areas such as deep learning, natural language processing, and computer vision. You are a hands-on builder with a proven track record of developing and deploying successful machine learning solutions, including recommendation systems.
– Technical Leadership: You have a proven track record of leading complex machine learning initiatives and providing technical guidance to engineering teams. You are comfortable working with large datasets and building scalable, high-performance systems.
– Cloud and Platform Expertise: You are familiar with cloud-based machine learning platforms (e.g., GCP, AWS) and have experience deploying and managing models in these environments.
– Exceptional Communicator: You have outstanding communication and interpersonal skills, allowing you to effectively convey complex technical information to diverse audiences, from junior engineers to senior leadership (up to the Director level). You are passionate about sharing your knowledge and mentoring others.
Meet the team
You will be part of a talented and diverse team of data engineers, data scientists and product managers passionate about revolutionizing how we leverage AI/ML to solve complex challenges across On. We are building innovative machine learning solutions to optimize internal processes, enhance customer experiences, and drive business growth in areas ranging from e-commerce to supply chain optimisation. As the most senior IC ML expert, you will play a critical role in shaping our AI strategy and mentoring other engineers.
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Principal Machine Learning Engineer employer: Sportyjob
Contact Detail:
Sportyjob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning, especially in areas like deep learning and natural language processing. This will not only enhance your knowledge but also demonstrate your commitment to staying at the forefront of the field.
✨Tip Number 2
Engage with the machine learning community by attending conferences, webinars, or local meetups. Networking with other professionals can provide valuable insights and may even lead to referrals for the position.
✨Tip Number 3
Showcase your leadership skills by sharing your experiences in mentoring junior engineers or leading projects. Highlighting these experiences can set you apart as a candidate who can drive innovation and foster a culture of learning.
✨Tip Number 4
Prepare to discuss specific machine learning projects you've worked on, particularly those that involved deploying models in cloud environments like GCP or AWS. Being able to articulate your hands-on experience will be crucial in demonstrating your fit for the role.
We think you need these skills to ace Principal Machine Learning Engineer
Some tips for your application 🫡
Highlight Your Expertise: Make sure to emphasize your deep machine learning expertise in your application. Detail your experience with designing, developing, and deploying machine learning models, especially in production environments.
Showcase Technical Leadership: Illustrate your track record of leading complex machine learning initiatives. Provide examples of how you've guided engineering teams and contributed to successful projects.
Demonstrate Cloud Proficiency: Mention your familiarity with cloud-based machine learning platforms like GCP or AWS. Highlight any specific experiences you have with deploying and managing models in these environments.
Communicate Effectively: Since exceptional communication is key for this role, ensure your application reflects your ability to convey complex technical information clearly. Consider including examples of mentoring or educating others in your field.
How to prepare for a job interview at Sportyjob
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning models, especially in production environments. Highlight specific projects where you've successfully developed and deployed models, particularly in areas like recommendation systems or natural language processing.
✨Demonstrate Leadership Skills
Since the role involves technical leadership, share examples of how you've led complex machine learning initiatives. Discuss your approach to mentoring junior engineers and fostering a collaborative environment within your team.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You may need to convey your ideas to diverse audiences, so focus on clarity and engagement during your interview.
✨Stay Updated on AI Trends
Research the latest advancements in machine learning and be ready to discuss how they could apply to On's business challenges. Showing that you are proactive about staying at the forefront of technology will demonstrate your passion for the field.
