ML Architect Hybrid (Belfast/London) Full Time Hayward Hawk are currently recruiting for an accomplished Machine Learning Architect to lead the development and implementation of transformative ML solutions.
This role focuses on establishing scalable, high-performance ML systems that are aligned with organizational goals and best practices.
The Role: Architect & Guide ML Solutions Design and refine machine learning systems that address business needs, ensuring robustness, scalability, and security.Define and enforce best practices for end-to-end ML life cycle, from development to production deployment and maintenance.Strategy & Innovation Lead the strategic vision for the organizations ML capabilities, ensuring alignment with emerging technologies and practices.Collaborate with cross-functional teams to understand business needs, translating them into effective ML solutions.Team Leadership & Mentoring Mentor a team of data scientists and machine learning engineers, fostering a culture of collaboration and innovation.Provide technical guidance on complex ML challenges and encourage continuous learning.Stakeholder Collaboration & Communication Partner with engineering, product, and business teams to integrate ML solutions that add measurable business value.Communicate complex ML concepts to diverse audiences, ensuring clarity and impact.Ethics & Compliance Ensure all models adhere to regulatory standards and ethical principles, advocating for responsible AI usage.Requirements: Masters or Ph.D. in a relevant field (eg, Computer Science, Data Science, Machine Learning).Extensive experience in machine learning and data science.Proven expertise in leading ML initiatives and deploying large-scale models.Solid foundation in statistical modelling and algorithm development.Proficiency in Python and Java, with advanced experience in ML libraries like TensorFlow, PyTorch, and Scikit-learn.Skilled in cloud-based deployment (eg, AWS, Azure, GCP) and experience with big data tools and ETL pipelines.Exceptional problem-solving abilities with a collaborative approach.Strong communication and leadership skills, adept at managing and motivating teams.Ability to operate effectively in fast-paced, agile environments.Background in deep learning, natural language processing, and generative AI.Familiarity with MLOps tools and processes.Contributions to ML research or open-source initiatives are a plus.This is an opportunity to shape a vital ML framework within an innovative, growth-focused team.
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