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. What Youll Do 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 lifecycle, 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 Educational Background Masters or Ph.D. in a relevant field (e.g., Computer Science, Data Science, Machine Learning). Professional Experience Extensive experience in machine learning and data science. Proven expertise in leading ML initiatives and deploying large-scale models. Solid foundation in statistical modeling and algorithm development. Technical Skills Proficiency in Python and Java, with advanced experience in ML libraries like TensorFlow, PyTorch, and Scikit-learn. Skilled in cloud-based deployment (e.g., AWS, Azure, GCP) and experience with big data tools and ETL pipelines. Soft Skills 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. Preferred Expertise 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. Skills: Java architect machine learning