AI Engineer
- Design, build, and deploy scalable AI and ML models using GenAI, LLMs, and orchestration frameworks.
- Develop robust backend systems in Python, optimised for cloud-native environments and production use.
- Implement MLOps best practices including CI/CD, containerisation, monitoring, and model retraining.
- Collaborate with cross-functional teams to translate business challenges into AI-powered solutions.
- Build and maintain reusable components and data pipelines to support model training and inference.
- Ensure all AI systems are secure, ethical, and aligned with responsible AI governance standards.
- Strong hands-on experience within AI/ML engineering, with a strong track record of building and deploying real-world GenAI applications.
- Proficient in Python and experienced in developing scalable, cloud-native backend systems.
- Solid understanding of machine learning fundamentals, including model training, fine-tuning, and evaluation.
- Experience with MLOps practices such as CI/CD, containerisation, monitoring, and model retraining.
- Skilled in working with large, complex datasets and building robust data pipelines for AI workloads.
- Strong communication skills with the ability to translate technical concepts for non-technical audiences and influence stakeholders.
- 25 days annual leave plus bank holidays + holiday buying scheme
- Worksave pension scheme with up to 7% employer contribution
- Free AA breakdown membership from Day 1 plus 50% discount for family and friends
- Discounts on AA products including car and home insurance
- Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
- Company funded life assurance
- Diverse learning and development opportunities to support you to progress in your career
- Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family
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