AI/ML Engineer
SKILLS
FULL DESCRIPTION
Summary
[Employer hidden — view at passion-project.co.uk] is looking for an AI/ML Engineer. The role involves designing and developing advanced machine learning models, building AI systems, training and testing models, experimenting with deep learning frameworks, integrating AI/ML capabilities into applications, and collaborating with different teams.
Key Responsibilities:
- Designing and developing advanced machine learning models
- Building AI systems for predictive analytics, NLP, and computer vision
- Training, testing, and fine-tuning models using large-scale data sets
- Experimenting with deep learning frameworks like TensorFlow and PyTorch
- Integrating AI/ML capabilities into scalable enterprise applications
- Collaborating with product, data, and engineering teams to deploy solutions
Core Requirements/Qualifications/Skills:
- Proven experience as an AI/ML Engineer or Data Scientist
- Strong proficiency in Python and ML libraries (e.g., scikit-learn, Pandas)
- Hands-on experience with deep learning and cloud platforms (AWS, GCP, Azure)
- Solid understanding of MLOps, data pipelines, and model lifecycle management
- Ability to convert business problems into data-driven AI solutions
- Degree in Computer Science, AI, Data Science, or a related field (MSc/PhD preferred)
🔧 What You’ll Be Working On:
Designing and developing advanced machine learning models
Building AI systems for predictive analytics, NLP, and computer vision
Training, testing, and fine-tuning models using large-scale data sets
Experimenting with deep learning frameworks like TensorFlow and PyTorch
Integrating AI/ML capabilities into scalable enterprise applications
Collaborating with product, data, and engineering teams to deploy solutions
🎯 What We’re Looking For:
Proven experience as an AI/ML Engineer or Data Scientist
Strong proficiency in Python and ML libraries (e.g., scikit-learn, Pandas)
Hands-on experience with deep learning and cloud platforms (AWS, GCP, Azure)
Solid understanding of MLOps, data pipelines, and model lifecycle management
Ability to convert business problems into data-driven AI solutions
Degree in Computer Science, AI, Data Science, or a related field (MSc/PhD preferred)