Job Description

AI Engineer - Edinburgh/Glasgow Hybrid

We are creating a world of opportunity for businesses by responsibly harnessing data and AI to enable positive change. We adapt to our clients needs and then bring our engineering, development and consultancy expertise. Our people and our solutions ensure they head into the future equipped to succeed. Our clients include Tier 1 Banking and Insurance clients, we have also been listed in the Sunday Times Top 100 Fastest Growing Private Companies

Your Role

In your hands-on role of AI Engineer you will

• Adhere and contribute to our delivery principles

• Develop scalable and efficient AI pipelines for training, testing and deploying machine learning models in a production environment.

• Optimize performance and accuracy of AI models through experimentation and fine-tuning.

• Thorough understanding of the Machine Learning Operation (MLOps) and model lifecycle

• Stay up to date with the latest advancements in AI and machine learning technologies and incorporate into our solutions as appropriate.

• Interact with stakeholders and program management to understand client requirements

• Solution Design - Using predefined architectural components to agree an acceptable design

• Deliver software development for clients, whilst collaborating with team members at various levels across the globe

Your Skills, Experience and Qualifications

• Degree in Computer Science, Machine Learning, or a related field.

• Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.

• Knowledge of software engineering best practices, including version control, automated testing, and continuous integration/continuous deployment (CI/CD).

• Experience with natural language processing (NLP), computer vision, or other specialized domains within AI/ML.

• Proven experience in developing AI/ML solutions, preferably in a commercial setting.

• Strong proficiency in Python programming and popular libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Solid understanding of machine learning concepts, algorithms, and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc.

• Hands-on experience with data preprocessing, feature engineering, and model evaluation/validation.

• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models at scale.

• Excellent problem-solving skills, attention to detail, and ability to work independently or collaboratively in a team environment.

• Effective communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

In return you will receive:

Competitive salary

Generous Annual Leave

Discretionary Annual Bonus

Pension Scheme

Life Assurance

Private Medical Cover (inc family)

Permanent Health Insurance Cover / Income Protection

Employee Assistance Programme

A Perkbox account

Access to an Independent Financial Advisor

Laptop

Remote, work from home position