AI Engineer

ioMosaic Corporation; Bath; On-site; GBP 60,000 - 90,000; Full time

Job summary

A technology solutions company in Bath is seeking an experienced AI Engineer to develop and deploy advanced AI models. The candidate should possess hands-on experience with AI frameworks and contribute to the lifecycle from data preprocessing to model deployment. Responsibilities include designing machine learning models, optimizing algorithms, and collaborating with cross-functional teams. Strong analytical skills and communication abilities are essential, alongside familiarity with version control tools.

Qualifications

• Hands-on experience with AI frameworks.
• Strong knowledge of linear algebra, probability, and statistics.
• Experience with algorithm optimization and hyperparameter tuning.

Responsibilities

• Design, train, and optimize machine learning models.
• Collaborate with teams to prepare datasets for training.
• Deploy AI models to production environments.
• Maintain documentation for models and processes.

Skills

Natural Language Processing

Problem Solving

Communication

Tools

Git

MLOps

Job description

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle, from data preprocessing to model deployment.

Duties And Responsibilities

• Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques.
• Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation.
• Algorithm Optimization: Focus on improving model performance and accuracy through algorithm optimization, hyperparameter tuning, and testing.
• Deployment & Maintenance: Work on deploying AI models to production environments, ensuring scalability, reliability, and robustness.
• Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate AI-driven features into products.
• Research: Stay up-to-date with the latest AI research and industry trends and apply innovative solutions to current problems.
• Documentation: Maintain clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility.

Preferred Skills

• Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning.
• Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques.
• Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models.
• Version Control: Familiarity with version control tools such as DevOps/Git.

Soft Skills

• Problem Solving: Strong analytical and problem-solving skills, with the ability to think critically and design innovative AI solutions.
• Communication: Excellent written and verbal communication skills to effectively collaborate with both technical and non-technical teams.
• Adaptability: Willingness to learn and experiment with new AI techniques and technologies.
• Team Player: Ability to work effectively in a collaborative and cross-functional team environment.