Sr Director Engineering AI & ML - London Hybrid - £150,000

Senior Director Engineering (AI & ML) - London (Hybrid) - £150,000

Method Resourcing has partnered with a new client who are building a new Artificial Intelligence & Machine Learning division. They are looking for someone to join who will Lead this new AI & ML function and guide distributed teams across multiple regions.

The Senior Director of Engineering (AI & ML) will be a key member of the SLT, and the primary focus will be on backend and data-intensive areas, making that the AI/ML systems are designed and deployed with the highest standards of technical excellence, performance, and scalability.

This role offers a real opportunity to blend deep technical expertise with leadership skills, driving change in a fast-paced and dynamic environment. This is a very technically challenging role and will push you're your ability in machine learning engineering, data science, and data platforms. You will leverage your deep knowledge in areas such as advanced natural language processing (NLP), generative AI (GenAI) and large language models (LLMs), ML Operations (MLOps), data architecture, data pipelines, and cloud-managed services.

Along with strong leadership skills in managing and coordinating teams across different geographies and time zones. Your leadership will ensure that AI/ML systems align with both local and global business strategies, maintaining seamless integration and high-performance standards across all regions.

Primary Job Responsibilities:

• Shape the strategic vision and roadmap for AI and ML initiatives, ensuring global alignment with business goals and cutting-edge technology trends.
• Drive consistency and collaboration across geographically dispersed team.
• Provide strong technical leadership in AI and ML engineering globally, particularly in areas like NLP, semantic search, summarization, and data-driven product development.
• Lead and mentor a high-performing, globally distributed team of AI/ML engineers and data scientists. Foster a culture of innovation, collaboration, and continuous improvement, while ensuring effective communication and coordination across time zones.
• Oversee the design and integration of complex AI and ML systems within our global software architecture. Ensure seamless interaction of these systems with other business-critical platforms and services across all regions
• Collaborate closely with MLOps, Platform Engineering, and Enterprise Data Platform teams to develop and optimize our global AI and ML infrastructure, including MLOps pipelines, data architecture, and model lifecycle management. Leverage modern cloud-based technologies (e.g., Snowflake) and frameworks (e.g., Airflow, Kafka) to ensure scalability, reliability, and efficiency across different regions
• Collaborate closely with cross-functional teams, including product management, product engineering, and other business units, to align AI and ML initiatives with broader global company objectives
• Drive innovation in AI and ML practices on a global scale, continuously seeking opportunities to improve our technology stack, processes, and methodologies
• Ensure the integrity, performance, and security of AI/ML systems globally. Implement best practices in data governance, model interpretability, and compliance with industry standards in all operational regions

Skills and Qualifications:

• Bachelor's, Master's, or PhD degree in Computer Science, Mathematics, Data Science, or a related field
• 10+ years of experience in software engineering, with a focus on AI and ML technologies, managing large-scale global teams
• 10+ years of experience in engineering leadership roles, managing and mentoring globally distributed engineering team.
• Deep expertise in machine learning, with a strong focus on NLP, semantic search, and other advanced natural language processing techniques
• Proven experience with MLOps, data platforms (e.g., Snowflake), data pipelines (e.g., Airflow), and messaging platforms (e.g., Kafka), across multiple geographic regions
• Strong background in data architecture, software architecture, and distributed systems, with experience coordinating technical efforts across global teams
• Proficient in Python, Java, SQL, and other relevant programming languages and tools
• Experience in cloud-native delivery, with a deep understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
• Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context

Please reach out to Method Resourcing for More information on this role.