AI/ML Engineer

Venesky-Brown’s client, a public sector organisation in Glasgow, is currently looking to recruit an AI/ML Engineer for an initial 6 month contract with potential to extend on a rate of £500/day (Inside IR35). This role will be a hybrid of working at home and in the office. 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. Essential Skills: - 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. If you would like to hear more about this opportunity please get in touch.