Venesky Brown
AI/ML Engineer
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Job Title
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.
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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.
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