Responsibilities
- Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data‑driven decision making across the business.
- Own service performance and continuous improvement, ensuring robust IT Service Management, regulatory compliance, model risk management, ethical AI standards and ongoing enhancements to user experience, efficiency, scalability and cost of operation.
- Define and deliver the AI/ML Ops platform strategy and roadmap, implementing modern engineering practices and leading‑edge techniques to enable rapid, scalable and cost‑effective delivery of machine learning services.
- Build and lead senior stakeholder relationships across directorates, working with Directors and business leaders to manage service performance, prioritise demand, shape delivery backlogs and influence future digital strategy both internally and externally.
- Provide effective operational leadership of the team, ensuring adherence to governance and compliance frameworks including budget management, forecasting, business planning, delivery controls, data governance, audit, communications and people policies.
- Work closely with Digital Services teams and senior stakeholders to define and deliver machine learning strategies that maximise adoption and unlock value from the organisation’s data assets.
Qualifications
- Strong stakeholder management and influencing skills, capable of building credible relationships at senior levels, navigating complex environments and securing positive outcomes across multiple priorities.
- Proven experience leading data innovation and systems integration, including the development and improvement of AI/ML products, platforms or digital services that deliver measurable user and business value.
- Strategic mindset with the ability to turn insight into action, using evidence, data and organisational priorities to shape plans, inform decisions and drive successful outcomes.
- Excellent understanding of governance and risk management, with experience applying controls and standards across areas such as model risk, data governance, security, audit and responsible or ethical AI.
- Commercial and operational leadership experience, including managing budgets, supplier performance, financial governance and delivering cost‑effective services or large‑scale programmes that achieve value for money.
- Senior level experience (5+ years) in a similar role.
Working Arrangement
This is a hybrid role based at any National Highways office location, with an expectation to attend the office for two days per week, including weekly travel to collaborate with the team.
Skills
- Artificial Intelligence (AI)
- Machine Learning
- Budget Management
- Business Plan
- Business Support
- Data Management
- Data Modeling
- Decision Support
- Emerging Technology
- Information/Data Security (InfoSec)
- Intelligent Transportation
- Information Technology
- Leadership
- Operational Management
- Performance Management
- Product Management
- Regulatory Compliance
- Risk Management
- Service Delivery
- Strategic Planning
- Technical/Engineering Design
- Team Lead/Manager
- User Interface/Experience (UI/UX)
- Vendor/Supplier Evaluation
Tagged as
Industry, Machine Learning, NLP, United Kingdom
