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  • Posted: May 8, 2025
    Deadline: Not specified
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  • Network Recruitment is a leading specialist recruitment agency and your first port of call for permanent and contract Finance jobs, IT jobs as well as Engineering jobs. Established in 1987, Network Recruitment has offered outstanding recruitment solutions to both clients and candidates for 25 years, living up to their credo of "Developing Relationships,...
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    Machine Learning Engineer

    What You’ll Do
    In this exciting, fast-paced role, you’ll:

    • Design, build, and deploy machine learning models that directly impact customer interaction and operational efficiency.
    • Develop intelligent chatbots (text and voice) that enhance user experience and service delivery.
    • Implement AI-powered automation tools, ensuring scalability and reliability.
    • Integrate ML solutions with internal systems using robust API management practices.
    • Monitor model performance and lead continuous improvement initiatives in alignment with QA standards.
    • Work cross-functionally with IT, data, and operational teams to bring AI concepts to life.
    • Contribute to a culture of experimentation, agility, and tech-driven growth.

    What You’ll Need to Succeed

    • Proven experience in Machine Learning and AI engineering.
    • Strong proficiency in Python and relevant ML/AI libraries (TensorFlow, PyTorch, scikit-learn, etc.).
    • Solid experience developing chatbots (both voice and scripted text-based).
    • Good understanding of Quality Assurance (QA) principles in tech development.
    • Comfortable working with and integrating APIs.
    • Experience in financial services or BPO environments will be highly advantageous.
    • A creative, analytical mindset with the ability to problem-solve under pressure.
    • Must be comfortable in a full-time, office-based role – this team thrives on real-time collaboration and energy.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Network Recruitment on www.linkedin.com to apply

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