Machine Learning Engineer

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 .