At a Glance
- Tasks: Design and develop machine learning models to transform data into actionable insights.
- Company: Join a unique consultancy focused on cutting-edge AI projects.
- Benefits: Work remotely with competitive pay and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Make a real impact by driving business growth through innovative AI solutions.
- Qualifications: Experience with AWS, GCP or Azure and strong stakeholder management skills.
The predicted salary is between 60000 - 80000 £ per year.
The Company Nigel Wright Tech is pleased to be working closely with a unique consultancy in their search for a Data and AI Engineer.
The Role
You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients.
The Requirements
This is a fantastic opportunity where you will get the chance to work on cutting edge AI projects within a collaborative and innovative environment. Key requirements include:
- Experience in designing, developing and maintaining production ready, secure applications using AWS, GCP or Azure
- Exceptional stakeholder management skills with the ability to build strong relationships
- Implementation of data modelling and transformation processes to support advanced analytics and AI initiatives
- Explore and apply LLMs to build novel, AI driven applications
- Develop and maintain CI/CD pipelines to ensure seamless deployment and integration
Remote Data and AI Engineer in Norwich employer: Nigel Wright Group
Nigel Wright Tech is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about cutting-edge AI projects. Employees benefit from continuous growth opportunities, working with advanced technologies in a supportive environment that values strong stakeholder relationships. This remote role offers the flexibility to contribute to transformative data solutions while enjoying a healthy work-life balance.
