Principal Machine Learning Architect

Machine Learning Principal Architect Location: Remote, UK Overview: Silverwood Recruitment is working on behalf of a dynamic and forward-thinking client in the technology sector, who are seeking an accomplished Machine Learning Principal Architect. This role will focus on leading the design, development, and deployment of cutting-edge machine learning (ML) solutions across the organisation. You will play a key part in driving strategic ML initiatives, ensuring that machine learning models are scalable, reliable, and optimised for performance. The ideal candidate will possess extensive experience in advanced machine learning techniques, leading large-scale ML projects from concept to production, and a strong background in cloud environments. Key Responsibilities: Architectural Leadership:Take ownership of designing and developing scalable machine learning systems that align with the companys objectives. Establish and enforce best practices for the entire lifecycle of ML models, ensuring they are secure, resilient, and built for scale. Technical Direction:Shape the long-term strategy for machine learning within the organisation, translating business requirements into innovative machine learning solutions. Keep the organisation on the cutting edge by staying up to date with the latest advances in ML technology and tools. Model Development & Deployment:Oversee the deployment of machine learning models, ensuring they are thoroughly tested and seamlessly integrated into production environments. Work closely with cross-functional teams to ensure models are optimised for performance, scalability, and cost-effectiveness. Leadership & Mentorship:Lead a team of machine learning engineers and data scientists, providing mentorship and fostering a culture of continuous improvement and innovation. Offer technical direction on complex machine learning challenges. Collaborative Communication:Partner with various teams, such as product managers and data engineers, to deliver machine learning solutions that drive measurable business impact. Clearly explain technical concepts and the value of ML models to stakeholders with varying levels of technical expertise. Compliance & Ethical AI:Ensure that all machine learning solutions adhere to industry standards, regulations, and ethical guidelines. Promote the ethical use of AI technologies within the organisation, ensuring they are applied responsibly. Skills & Experience Required: A Masters or Ph.D. in a related discipline such as Computer Science, Machine Learning, or Data Science. Demonstrated experience in leading and deploying large-scale machine learning solutions. Expertise in statistical analysis, data mining techniques, and machine learning algorithms. Proficiency in programming languages, particularly Python and Java/Kotlin. In-depth experience working with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of deploying machine learning models on cloud platforms such as AWS, Azure, or GCP. Strong grasp of data processing, pipelines, and big data technologies. Exceptional problem-solving abilities paired with strong leadership, communication, and collaboration skills. Ability to thrive in a fast-paced, evolving environment. Preferred Qualifications: Experience working with advanced machine learning techniques such as deep learning or natural language processing (NLP), or Generative AI. Familiarity with MLOps methodologies and tools to streamline the lifecycle of ML models. Contributions to open-source machine learning projects or publications in high-profile industry journals. What's On Offer: Competitive salary and company bonus Strong maternity and paternity leave schemes Workplace pension scheme Flexible "take what you need" holiday policy Private medical insurance and dental plan Group life assurance and income protection Employee assistance programme Monthly wellness allowance Adoption assistance Stock options About the Company Culture: Our client values innovation, collaboration, and a commitment to diversity and inclusion. They foster a work environment where employees can be their authentic selves, promoting continuous learning and growth. With a global presence, they have been recognised as one of the Best Places to Work by If you are a forward-thinking machine learning professional ready to make an impact, apply today to join a leading company at the forefront of innovation. Benefits: Work From Home