Description

What we need from you:

·      Strong experience as a Machine Learning Engineer, AI Engineer or similar role.

·      Proven experience delivering AI/ML models and solutions from experimentation/POC through to production.

·      Strong hands-on experience with Python, PyTorch and Transformer-based models.

·      Experience with Natural Language Processing (NLP), LLMs and classical machine learning.

·      Experience developing Computer Vision models, including CNNs and/or VLMs.

·      Strong understanding of MLOps and DevOps practices, including experiment tracking and tools such as MLflow.

·      Experience working with commercial cloud platforms such as AWS, Azure or GCP.

·      Relevant ICT qualifications and/or industry certifications.

Why/About Our Client?

Our client offers a variety of benefits, including a strong focus on work-life balance, a diverse and inclusive work environment. Also known for its commitment to sustainability, community engagement, and innovation.

What you’ll do:

·      Design, develop, evaluate and deploy machine learning and AI solutions.

·      Take AI/ML initiatives from Proof of Concept through production and operational use.

·      Develop and maintain production ML capabilities within a multidisciplinary team.

·      Apply NLP, Transformer models, Computer Vision and classical ML techniques to solve business problems.

·      Implement and support MLOps practices, including experiment tracking, evaluation, monitoring and operationalisation.

·      Deliver AI and automation solutions using AWS and other cloud platforms.

·      Contribute to AWS serverless application delivery, with AWS CDK experience highly desirable.

·      Prepare PoC reports, technical documentation, evaluation papers and recommendations.

·      Support knowledge transfer to internal personnel and contribute to improving organisational AI capability.

Desirable Skills:

·      AWS CDK / Infrastructure-as-Code

·      AWS Lambda and serverless technologies

·      AWS cloud architecture

·      CI/CD and DevOps

·      MLflow

·      LLMs and Generative AI

·      Computer Vision / VLMs

·      Experience working within government or highly regulated environments

Key Skills

Education

Any Graduate