Machine Learning Engineer (Intermediate Senior)

Our client is seeking a passionate Machine Learning Engineer to join a growing team delivering cutting-edge AI solutions for a diverse client base. This is an exciting opportunity for an experienced professional who enjoys building production-ready machine learning applications working with modern cloud technologies and collaborating with multidisciplinary teams to solve complex business challenges.

Key Responsibilities:

• Design build and deploy production-ready machine learning solutions.
• Develop AI-powered applications AI agents and LLM-based solutions.
• Build and optimise data pipelines for model training and inference.
• Implement MLOps best practices including CI/CD deployment monitoring and automation.
• Develop scalable ML platforms and cloud-based AI infrastructure.
• Deploy AI solutions to an AI marketplace and production environments.
• Collaborate with data scientists BI specialists DevOps engineers and software development teams.
• Engage confidently with both technical and business stakeholders throughout project delivery.

Requirements:

• Bachelors degree in Computer Science Engineering Applied Mathematics Statistics or a related field.
• Minimum 2 years experience in machine learning data science or data engineering.
• Strong Python development experience with solid SQL skills.
• Proven experience working with AWS cloud services (essential).
• Experience across the machine learning lifecycle including training deployment monitoring and MLOps.
• Experience building scalable AI applications and APIs.
• Strong understanding of software engineering principles and clean coding practices.

Advantageous:

• AWS certifications.
• Experience with AWS Bedrock and Bedrock AgentCore.
• Open-source contributions startup or product development experience.
• Postgraduate qualification in AI Machine Learning or a related field.

Personal Attributes:

• Passionate about AI and emerging technologies.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Self-motivated with the ability to work independently.
• Eager to continuously learn and grow.

Only shortlisted candidates will be contacted.
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Visit our website for more exciting career opportunities: will only be conducted with short listed candidates. Should you not hear from us within 4 days please consider your application unsuccessful.