About this role
Define and design machine learning solutions using AI tools and platforms (no model coding required) Identify business problems and map them to appropriate AI/ML use cases Use pre-built AI models, AutoML tools, and no-code/low-code platforms to develop solutions Evaluate model outputs, accuracy, and performance using dashboards and metrics Collaborate with data scientists and engineers to guide model development and deployment Select appropriate datasets and ensure data quality for AI applications Apply techniques like data labeling, augmentation strategies, and model tuning via tools (not code) Monitor deployed AI systems and recommend improvements or retraining Ensure ethical AI usage, including fairness, transparency, and bias mitigation Translate technical AI concepts into clear business insights for stakeholders Stay updated on AI tools, platforms, and industry trends Support deployment decisions across cloud platforms (AWS, GCP, Azure) using managed AI services
**Proud member of the Disability Confident employer scheme**
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to [Disability Confident](https://www.gov.uk/government/collections/disability-confident-campaign).