Version 1 is seeking an AWS MLOps Engineer to join their team. The successful candidate will have experience in infrastructure, platform engineering, or distributed systems, and will be responsible for architecting and implementing scalable infrastructure for AI and ML workloads.
Requirements
- 8-12+ years of experience in infrastructure, platform engineering, or distributed systems
- Proven experience building and operating enterprise-grade production systems
- Deep hands-on expertise with Kubernetes in production
- Strong background in MLOps and ML platform lifecycle management
- Experience with cloud platforms (AWS, GCP, or Azure) and Infrastructure-as-Code (Terraform, Pulumi, etc.)
- Practical, hands-on use of AI coding agents / AI-assisted development tools
- Strong programming ability in Go, Python, or similar infrastructure-oriented language
Benefits
- Quarterly Performance-Related Profit Share Scheme
- Flexible/remote working
- Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
- Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more
- Generous holiday allowance
- Enhanced maternity/paternity leave
- Marriage/civil partnership leave and special leave policies
- Educational assistance
- Incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
- Reward schemes including Version 1's Annual Excellence Awards & ‘Call-Out’ platform
