Hiring: MLOps Engineer Company: Harnham Location: New York, United States Job Posted Time: 2026-09-16 11:38:14 Target Skills & Keywords : Kubeflow, Kubernetes, LLM, Large Language Model, MLOps, Machine Learning, Python About the job Experience: •Commercial experience deploying workloads within Kubernetes environments •Understanding of the machine learning development lifecycle and production model deployment •Strong Python or Go development skills •Knowledge of distributed systems, APIs, and software engineering best practices •Strong communication skills and the ability to collaborate within cross-functional engineering teams Required Skills: •As an Associate MLOps Engineer, you will help build and operate Kubernetes-based machine learning infrastructure that supports model development, experimentation, training, and inference workloads. •Deploying and supporting ML workloads on Kubernetes platforms •Implementing and maintaining ML tooling, including notebook environments, inference services, and workflow orchestration solutions •Supporting GPU-enabled machine learning infrastructure and NVIDIA-based technologies •Contributing to the evolution of cloud-native ML platforms and Kubernetes environments •Working across the end-to-end machine learning lifecycle, from experimentation through to production inference •Improving platform reliability, monitoring, scalability, and developer experience •Supporting internal deployment of machine learning and large language model applications Qualifications: •Visa sponsorship support available •Exposure to large-scale AI and machine learning infrastructure •Career progression within a highly technical platform engineering function •Access to experienced engineers and mentorship from industry-leading practitioners •Opportunity to work on cutting-edge cloud, Kubernetes, MLOps, and generative AI technologies •If you're interested in building scalable machine learning platforms, working with Kubernetes and cloud-native AI infrastructure, and developing your expertise in MLOps engineering, apply today to learn more about this opportunity. •Provide your feedback on BizChat Compensation: •$150,000 - $180,000 / year •New York, NY / Jersey City, NJ / Toronto, ON | $130,000 to $180,000 base + bonus + equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!