AI/ML Engineer

Salary: £55,000 - 78,000 per year

Requirements:

• Proven experience developing and deploying AI and machine learning solutions within enterprise environments.
• Strong Python programming skills and experience with machine learning frameworks and libraries.
• Practical experience with Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG) and prompt engineering.
• Experience building, training, testing and operationalising machine learning models across the full lifecycle.
• Experience implementing MLOps practices, including model deployment, CI/CD pipelines and monitoring.
• Strong understanding of data preparation, feature engineering, model evaluation and performance optimisation.
• Experience working with large datasets, graph databases and modern cloud-based data platforms, ideally within Microsoft Azure ecosystems.
• Understanding of AI governance, security, privacy and responsible AI principles.
• Ability to translate business challenges into practical AI solutions and communicate complex concepts to both technical and non-technical stakeholders.
• Experience working within agile, multidisciplinary delivery teams and producing clear technical documentation and knowledge transfer materials.

Responsibilities:

• Design, build and deploy AI and machine learning solutions that support the objectives of the AI Accelerator programme.
• Develop and optimise machine learning models, AI architecture and intelligent automation solutions.
• Work with Data Engineers to prepare, transform and curate datasets suitable for AI and machine learning workloads.
• Develop and maintain AI pipelines, model deployment processes and operational lifecycle monitoring capabilities.
• Collaborate with business stakeholders to identify, prioritise and validate high-value AI use cases.
• Implement responsible AI practices, ensuring solutions align with governance, security, privacy and ethical standards.
• Evaluate emerging AI technologies, tools and platforms and provide recommendations on their suitability and value.
• Support the adoption of AI capabilities by creating reusable components, patterns and technical standards.
• Monitor and improve the performance, accuracy, scalability and reliability of deployed AI solutions.
• Produce clear technical documentation and provide knowledge transfer to internal teams to support long-term capability growth.

Technologies:

• AI
• Azure
• CI/CD
• Cloud
• Support
• Machine Learning
• MLOps
• Python
• RAG
• Security

More:

We are supporting a public sector organisation in Glasgow that is looking to recruit an AI/ML Engineer for an initial 6-month contract with potential to extend. The rate is £500/day, inside IR35, and the role is hybrid with a mix of working from home and in the office.

last updated 36 week of 2026