Lead Machine Learning Engineer

at  Digital Waffle

LEAD MACHINE LEARNING ENGINEER

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 a Computer Vision expert to develop and implement an AI strategy into their business for two differing immediate requirements.

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
• Computer Vision
• 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)