AI/ML Engineer

Key Responsibilities:

• Design, build, and deploy scalable AI and machine learning models across a variety of use cases
• Collaborate with data scientists, product managers, and engineers to integrate intelligent systems into production
• Optimise existing models and pipelines for speed, accuracy, and reliability
• Analyse large, complex datasets to extract insights and develop predictive solutions
• Stay current with advancements in AI/ML technologies, frameworks, and best practices

Required Skills and Experience:

• Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas
• Solid understanding of ML algorithms, model evaluation techniques, and data preprocessing
• Experience deploying models in production using cloud platforms such as AWS, GCP, or Azure
• Familiarity with MLOps tools and version control for ML pipelines (e.g., MLflow, DVC)
• Strong communication skills and ability to collaborate in a cross-functional team

What They Offer:

• Competitive salary and benefits package
• The chance to work with a forward-thinking tech team on cutting-edge AI solutions
• Continuous learning budget and opportunity to contribute to research and innovation
• Flexible remote-first working environment with a supportive, inclusive culture

Apply Now:
If you’re an AI/ML enthusiast who’s passionate about using data and intelligent systems to solve complex problems, we’d love to hear from you. Please apply with your updated CV and a short note explaining what excites you about this role.

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