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Senior MLOps Engineer
3 months ago
Title: Exciting Opportunity for Senior MLOps Engineer (NLP) at a Leading Tech Company
Type: Contract Position
Rate: Competitive rate per day (outside IR35 regulations)
Length: 6-month Project
Location: London (Hybrid Working Environment)
Join a dynamic and fast-growing tech organization that specializes in cutting-edge NLP and AI technologies. Become a valuable member of a forward-thinking team dedicated to developing revolutionary products.
What You'll Do:
- Implement NLP Pipelines: Responsible for deploying and managing NLP models for tasks like fraud detection and risk assessment, emphasizing Named Entity Recognition. Utilize CI/CD practices and containerization for seamless integration and scalability.
- Automate ML Processes: Develop robust MLOps pipelines to automate data processing, model training, and deployment to enhance the efficiency of NLP workflows.
- Lead NLP Innovation: Collaborate closely with data science teams to translate model requirements into actionable strategies and promote the ongoing enhancement of NLP models.
Our Ideal Candidate Has:
- Demonstrated expertise in creating and implementing NLP models, a solid understanding of statistical concepts, ML methodologies, and proficiency in Python programming.
- Strong Background in MLOps & Cloud Tech: Proficient in CI/CD pipelines, container technologies like Docker and Kubernetes, and experience working with major cloud platforms such as AWS, Azure, or GCP.
- Educational Background: Bachelor's degree in Computer Science, Machine Learning, or a related field. Proficiency in Python, familiarity with Test-Driven Development (TDD), and a proactive attitude towards continuous learning.
If you are excited about this opportunity and want to learn more, submit your updated CV for consideration or connect with Bryn Edwards at the company.