Machine Learning Engineer

We are looking for a Machine Learning Engineer to design, develop, and deploy scalable machine learning and AI solutions that solve complex business challenges and support smarter decision-making.

• Work with large and complex datasets to solve challenging business problems.
• Design, develop, train, and optimise machine learning models using modern algorithms and frameworks.
• Build and maintain production-grade, end-to-end ML pipelines covering data ingestion, transformation, training, validation, and deployment.
• Train and deploy standard ML, neural network, and agentic models efficiently.
• Automate model training, testing, and deployment through CI/CD pipelines and MLOps practices.
• Fine-tune SLMs and LLMs and develop complex AI architectures.
• Develop solutions across areas such as supervised and unsupervised learning, deep learning, NLP, computer vision, and generative AI.
• Collaborate with engineering, product, data, and other cross-functional teams to integrate AI models into applications and deliver end-to-end solutions.
• Design scalable ML system architectures and optimise models for real-time and batch inference.

• 3-7 years’ experience building production-grade, scalable AI/ML systems.
• Strong expertise in machine learning, with experience across areas such as deep learning, NLP, computer vision, or generative AI/LLMs.
• Strong understanding of ML system architecture and productionisation.
• Experience with model serving and API development using tools such as FastAPI or Flask
  .
• Good understanding of Docker, Kubernetes, CI/CD
  , and MLOps tools such as MLflow or Kubeflow
  .
• Experience deploying machine learning models on AWS or Azure
  .
• Strong understanding of model performance optimisation and inference.
• Bachelor’s degree in Computer Science, Engineering, or a related field
  .

• Master’s or PhD in Computer Science, Engineering, AI, or a related discipline.
• Hands-on experience with agentic AI systems and advanced LLM architectures.
• Experience designing and operating large-scale AI platforms in production.

This is a great opportunity for an experienced Machine Learning Engineer to work on production-scale AI systems
, from model development and experimentation through to deployment, automation, and continuous optimisation.