Principal Machine Learning Engineer

2 weeks ago


Swindon, Swindon, United Kingdom Qodea Group. Full time
About the Role

We are seeking an experienced Principal Machine Learning Engineer to join our team at Qodea Group, Europe's largest dedicated Google Cloud partner. This role will involve leading the design and delivery of Machine Learning solutions for clients, as well as performing line management duties for a team of ML Engineers and Data Scientists.

As a Principal Machine Learning Engineer, you will be responsible for developing and deploying innovative machine learning models and AI solutions on Google Cloud using frameworks such as TensorFlow, scikit-learn, and torch. You will also use your hands-on experience of developing, training, and deploying AI models to help customers activate their data.

You will draw upon your technical expertise and track record of delivery to have positive and meaningful engagements with customers, to help them understand what's achievable with Google Cloud products and services. You will be able to communicate concepts to both technical and non-technical audiences.

Your solution designs will always consider the customers' requirements, and will be scalable and supportable. You will always be open to exploring new technologies in this fast-moving field and will foster an innovative and creative mindset among the wider ML Team.

Key Responsibilities
  1. Lead discussions with clients to understand their business problems, work with your team to design technical solutions using machine learning models.
  2. Develop and deploy machine learning models on Google Cloud.
  3. Use version control and agile working practices.
  4. Stay up-to-date with the latest developments in machine learning and bring new ideas to the team.
Requirements
  • Experience as a technical lead on technical projects, ideally involving a public cloud provider.
  • Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Strong grasp of statistics and probability fundamentals.
  • Solid understanding of machine learning algorithms for supervised and unsupervised learning.
  • Hands-on experience training, deploying, and optimizing ML models.
  • Strong Python and SQL skills.
  • Experience with Cloud ML tools.
  • Collaborative, proactive, logical, methodical, and attentive to detail.
  • Passion for machine learning and demonstrating your ability to keep updated on the latest advancements in the industry.


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