5 of 5 MLOps Jobs in Watford

with containerization technologies such as Docker. GPU programming experience (CUDA or OpenCL) is a plus but not required. Knowledge and love for DevOps/MLOps practices for Deep Learning-based product's development. Experience with CI systems (preferably GitLab). NVIDIA is widely considered to be one of the technology ...

Learning Neural net architecture design, backpropagation walkthroughs Natural Language Processing (NLP) Text classification, summarization, sentiment analysis Computer Vision Image labeling, object detection, image captioning MLOps/Deployment Model lifecycle support, pipeline design, monitoring/rollback flows Statistical Modeling Hypothesis testing, regression diagnostics, p-value calculation Data Engineering Data pipeline logic ...

frameworks for rapid experimentation. • Guide cross-functional teams through complex programmes, ensuring alignment and technical excellence. • Establish best practices for ML engineering, including MLOps and model lifecycle management. • Evaluate technology choices, lead innovation through PoCs, and accelerate ML time-toproduction. • Lead Operational Excellence by improving observability, performance and reliability ...

focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models … learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring. Design, build, and maintain highly reliable and well-tested data and ML pipelines ...

Splunk, New Relic, or AWS CloudTrail. Communication Skills: Demonstrated success in cross-functional collaboration. LLM Expertise: Proven experience developing, evaluating and orchestrating agentic workflows MLOps and Distributed Systems: Hands-on experience with distributed systems and MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills ...