Senior AI; Artificial Intelligence​/ML; Machine Learning Engineer

Senior AI (Artificial Intelligence)/ML (Machine Learning) Engineer

The NHS Business Services Authority is looking for a Senior AI/ML Engineer to help design, build, and scale Artificial Intelligence and Machine Learning solutions that deliver real‑world impact across the organisation.

The NHSBSA manages over £100 billion of NHS spend annually and delivers services supporting NHS organisations, healthcare professionals, patients, and the public. Data and AI are central to the organisation's ambition to become truly data driven, creating opportunities to improve outcomes and drive innovation across health and care.

You’ll work with a dedicated team in an organisation that genuinely invests in its people recognised in the 2025 Global Top 100 Most Inspiring Employers, a 2025 UK Inspiring Workplaces finalist, and named by Best Companies as one of the UK's best places to work.

Please note this vacancy may close early if a high volume of applications is received, so early application is encouraged.

• Hybrid working model with regular attendance at our Newcastle office.
• 27 days leave (increasing with length of service) plus 8 bank holidays.
• Active wellbeing and inclusion networks
• Various salary sacrifice schemes
• Employee Assistance programme, offering free 24/7 support for you and your loved ones
• Access to a wide range of benefits and high street and online discounts.

As Senior AI/ML Engineer, you will be responsible for leading the technical development and deployment of AI solutions that drive innovation, improve services, and support evidence-based decision‑making. You will work across a cross‑functional teams to design, train, deploy and scale models for use in products and services, applying responsible AI principles.

You’ll own and enhance the AI/ML tooling ecosystem including experiment tracking, data pipelines, data access, model deployment pipelines, CI/CD for ML, and ensure deployed models are continuously monitored using observability tools to detect performance degradation, data drift, and operational issues.

You’ll rapidly experiment with emerging AI tools and models (including generative AI and ML-driven automation) to solve business problems, evaluating and integrating effective solutions to continuously improve services. Collaborate across cross‑functional teams using agile practices and feedback loops to deliver user‑centred AI solutions that are scalable, inclusive, accessible, and aligned with public sector outcomes.

• AI Engineering and development
• Designing, developing, and deploying AI solutions from prototype to production, ensuring scalability, security, and maintainability.
• Collaborate on feature engineering, data preprocessing and documentation using industry standards (e.g., model cards, data sheets) to improve model accuracy and transparency.
• Contribute to shared libraries and frameworks that support model training, evaluation, and deployment.
• Apply SOLID principles, design patterns, and dependency injection to AI systems, ensuring maintainability and robustness.
• Own and enhance the AI/ML tooling ecosystem including experiment tracking, data pipelines, data access, model deployment pipelines, CI/CD for ML, and ensure deployed models are continuously monitored using observability tools to detect performance degradation, data drift, and operational issues.
• Conduct technical design reviews and implement robust testing and validation of both code and AI/ML models, ensuring quality, reproducibility, performance and adherence to groups and industry best practices.
• Apply secure coding practices and contribute to risk assessments for AI systems, including data privacy, model robustness, and adversarial threats.
• Rapidly experiment with new AI tools and models (e.g., building generative AI agents or other ML‑driven automation) to solve business problems. Evaluate emerging technologies and integrate the best solutions quickly to continuously improve services.
• Ensure responsible and compliant AI development with ethical, privacy and regulatory frameworks and standards.
• Apply bias detection and mitigation…