This Sr ML Ops Engineer role offers a contractual, on-site position focused on high-stakes, hands-on machine learning operations and AI deployment. The salary is highly attractive, ranging from USD 300,000 to 409,000, making it a lucrative pick for specialists in this field. The job is ideal for candidates passionate about designing, implementing, and automating ML workflows within dynamic teams.

Responsibilities & Daily Work

On the day-to-day, you will design, build, and maintain scalable machine learning pipelines for wide-reaching applications in regulated, data-driven industries. Duties include ensuring efficient model deployment, troubleshooting production issues, and automating cloud workflows. Close collaboration with data scientists and engineers is essential, alongside leading workflow improvements in both Linux and Windows environments.

Furthermore, you will need to focus on continuous integration and deployment (CI/CD) best practices. Handling new AI-powered features requires a constant evaluation of existing ML infrastructure. The job also enables you to impact several real-time products supporting financial and enterprise clients.

Key Advantages

The position stands out due to the company’s design-led engineering approach, which ensures you stay at the edge of innovative, enterprise-grade AI solutions. You will gain exposure to real-time data systems and automation, growing your skill set in cloud management and model optimization.

Another major advantage is long-term career stability, as Liztek is known for a range of active projects and a growing reputation in tech. You will enjoy supported learning and extensive opportunities for professional growth over the contract duration.

Points to Consider

Some may find the contract nature of the role a downside if seeking permanent employment. Additionally, the role demands you quickly adapt to new challenges, as troubleshooting and infrastructure support can require after-hours commitment.

Another consideration is the need for hands-on experience across multiple platforms and cloud tools; candidates not comfortable working outside a single stack might find this demanding.

Final Verdict

If you are seeking a rewarding and well-compensated ML Ops challenge with a respected team—and you thrive in environments where your input has immediate business impact—this role is an excellent fit. The blend of stable contract and cutting-edge AI responsibility is uncommon, making this opportunity worth your application.