AI Engineer

Digitech Resourcing Ltd; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Bonus 10%

Job summary

Digitech Resourcing Ltd in London is seeking an AI Engineer with around 2 years of experience to design and deploy AI/ML solutions in production. You will build models, evaluate outputs and integrate AI services into our internal tools and workflows.

The role emphasizes dataset preparation, model training and rigorous testing, with a 10% bonus and very good benefits. Experience with Microsoft Copilot Studio is essential.

Qualifications

• Experience designing, building and deploying AI/ML solutions for live production.
• Experience using Python and AI/ML libraries to develop, test and maintain AI solutions.
• Delivery experience with Microsoft Copilot Studio is a must; Foundry is a plus.

Responsibilities

• Design and build AI solutions that address defined business and operational needs.
• Develop, test and deploy machine learning and generative AI models for internal tools, workflows or decision support.
• Prepare and refine datasets for model training, evaluation and ongoing performance monitoring.
• Integrate AI services into existing platforms, applications and engineering workflows.
• Create technical documentation for models, data pipelines, APIs and deployment processes.
• Evaluate model outputs, identify risks or limitations, and improve performance through testing.

Skills

Python

ML libraries

Copilot Studio

LLM tech

Dataset prep

Tools

Microsoft Copilot Studio

Microsoft Foundry

Job description

Permanent - 10% bonus and very good benefits

Experience with Microsoft Copilot is a must.

My client who are at the forefront of the Financial Services industry require an AI Engineer.

This role will suit a candidate with around 2 years experience.

What you will be doing :

• Design and build AI solutions that address defined business and operational needs within the business
• Develop, test and deploy machine learning and generative AI models for internal tools, workflows or decision support.
• Prepare and refine datasets for model training, evaluation and ongoing performance monitoring.
• Integrate AI services into existing platforms, applications and engineering workflows.
• Create technical documentation for models, data pipelines, APIs and deployment processes.
• Evaluate model outputs, identify risks or limitations, and improve performance through structured testing.

Experience needed :

• Experience designing, building and deploying AI or machine learning solutions for live production use.
• Experience using Python and AI or machine learning libraries to develop, test and maintain AI solutions.
• Delivery experience with Microsoft Copilot Studio is a must. Microsoft Foundry is good to have and/or other LLM technologies.
• Experience preparing datasets, training models and evaluating model performance using structured testing and evaluation methods.
• Experience integrating AI solutions with business applications, APIs or cloud-based services.