- 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.
- 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)
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Lead Machine Learning Engineer - Birmingham, United Kingdom - Digital Waffle
Description
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:
Key skills: