AI Ops Engineer - up to £85,000 Benefits - Hybrid - Derby
AI Ops Engineer Salary: Up to £85,000 Location: Hybrid - 3 days per week onsite in Derby Working Hours: Full time - Monday to Friday
A globally renowned organisation is seeking an AI Ops Engineer to join a growing AI and data function, taking ownership of the operational backbone that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation.
The AI Ops Engineer position is well suited to an engineer who enjoys building resilient platforms, improving operational maturity and working closely with data scientists and software engineers to deliver production-grade AI capability.
Responsibilities for the AI Ops Engineer:
- Design, build and operate deployment pipelines for AI models, prompts and supporting artefacts
- Own lifecycle management including versioning, promotion, rollback and retirement of AI solutions
- Implement monitoring and observability covering performance, usage, drift and data quality
- Ensure AI systems meet security, compliance and governance requirements
- Optimise inference performance, scalability and cost efficiency
- Manage infrastructure supporting training and inference including cloud platforms, containers and GPU resources
- Enable reproducibility through experiment tracking and artefact management
- Support incident response, root-cause analysis and resolution of AI-related failures
- Collaborate with data scientists and software engineers to design scalable, reliable machine learning infrastructure
- Develop and maintain CI/CD pipelines for machine learning workloads
- Maintain standards for version control, testing and technical documentation
- Work with cross-functional teams to integrate AI solutions into existing platforms and workflows
- Stay current with advancements in MLOps, DevOps and AI operations, driving continuous improvement
Essential Skills for the AI Ops Engineer:
- Strong experience operating machine learning or AI systems in production environments
- Hands-on experience with CI/CD pipelines for data or ML workloads
- Experience managing cloud-based infrastructure for AI workloads
- Solid understanding of monitoring, observability and operational resilience
- Strong collaboration skills with the ability to work across engineering and data teams
- Experience supporting secure, compliant and well-governed systems
Desirable Skills for the AI Ops Engineer:
- Experience integrating Python-based services with modern front-end frameworks
- Familiarity with MLOps practices for deploying, monitoring and managing AI systems
- Exposure to large-scale enterprise data environments or knowledge management systems
- Understanding of Agile delivery practices and collaborative tooling
- Knowledge of data security, compliance and responsible AI principles
- Domain exposure within engineering or manufacturing environments
If you are an AI Ops Engineer looking to take ownership of AI operations within a complex, production-focused environment, please apply in the immediate instance.
AI, Artificial Intelligence