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Lead Machine Learning Engineer

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
United Kingdom

Offer summary

Qualifications:

Experience in developing and implementing AI strategies into businesses, Proficiency in Python for Machine Learning and familiarity with frameworks like TensorFlow and PyTorch.
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Digital Waffle Human Resources, Staffing & Recruiting Scaleup https://www.digitalwaffle.co/
1 - 10 Employees
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Job description

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Your missions

Our client is looking for an experienced ML/AI engineer to lead their delivery of effective ML/AI-driven solutions and processes, and to help shape their ML/AI strategy.

They are looking for someone to develop and implement an AI strategy into their business for two differing immediate requirements.


Role: Lead Machine Learning Engineer

Location: Fully Remote (UK)

Salary: Up to £90,000 per annum

In your role as ML/AI Lead, your duties will include: Reviewing their backlog of ML/AI-candidate projects and building, developing, and managing a team around you to work with you on delivery.


Key requirements:

  • Design, build, deliver, and maintain end-to-end ML/AI solutions that enhance, organise, and enrich their data, cost-effectively, accurately, and scalably
  • Plan and manage their ML/AI delivery pipeline
  • Mentor and coach team members on ML engineering best practices
  • Advise senior management on their ML/AI strategy.

Key skills:

  • Python for Machine Learning and Data Science
  • Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn.
  • Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn.
  • Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI.
  • Machine Learning Applications development life cycle processes and tools - MLOps, including building ETL data pipelines.
  • Cutting-edge approaches to Machine Learning, including transformer models, diffusion models, and adversarial machine learning.
  • Experience in fine-tuning off-the-shelf Large Language Models (Hugging Face transformers, BERT)

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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