GenAI & MLOps Engineer — Build Real-World AI Solutions

The Automobile Association; City of Westminster; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading automotive service organization in the UK is seeking an AI Engineer to design, build, and deploy scalable AI and ML models. Responsibilities include implementing MLOps best practices and collaborating with cross-functional teams to develop AI-powered solutions. This role offers the chance to work with world-class datasets and drive impactful outcomes through AI. Candidates should have strong Python skills, a solid understanding of machine learning, and the ability to communicate technical concepts effectively. Competitive benefits included.

Benefits

25 days annual leave plus bank holidays

Worksave pension scheme with up to 7% employer contribution

Free AA breakdown membership

Discounts on AA products

Employee discount scheme

Company funded life assurance

Diverse learning and development opportunities

24/7 remote GP service

Qualifications

• Strong hands-on experience with AI/ML engineering and building real-world GenAI applications.
• Proficiency in Python with experience in scalable backend systems.
• Solid understanding of machine learning fundamentals including model training.

Responsibilities

• Design, build, and deploy scalable AI and ML models using GenAI and LLMs.
• Implement MLOps best practices including CI/CD and model retraining.
• Collaborate with cross-functional teams to create AI-powered solutions.

Skills

AI/ML engineering

Python

MLOps practices

Data pipeline building

Communication skills

Job description

A leading automotive service organization in the UK is seeking an AI Engineer to design, build, and deploy scalable AI and ML models. Responsibilities include implementing MLOps best practices and collaborating with cross-functional teams to develop AI-powered solutions. This role offers the chance to work with world-class datasets and drive impactful outcomes through AI. Candidates should have strong Python skills, a solid understanding of machine learning, and the ability to communicate technical concepts effectively. Competitive benefits included.