This is an exciting opportunity for a talented ML Ops Engineer who will be instrumental in advancing the analytical capabilities of a Financial Services firm based in London. Client Details The company is a large-scale player in theFinancial Servicesthe financial industry, with a robust team dedicated to Analytics. Based in London, the firm has a global reach and is noted for its commitment to employing advanced technologies to deliver innovative solutions. Description Collaborate with cross-functional teams to understand their machine learning requirements. Design, implement, and maintain machine learning operations (MLOps) systems. Scale machine learning algorithms and models for production. Ensure data privacy and security regulations are met. Track metrics to monitor model performance and data accuracy. Troubleshoot any issues related to machine learning systems. Stay up-to-date with the latest industry trends and technologies. Continuously improve existing systems and processes... Profile A successful 'ML Ops Engineer' should have: A strong foundation in Machine Learning and Data Science principles. Proficiency in MLOps tools and platforms. Knowledge of cloud technologies and distributed systems. The ability to implement machine learning models into production. Strong problem-solving skills and a keen eye for detail. Job Offer An annual salary range between £70,000 and £90,000. A vibrant and collaborative work culture. Opportunities for personal and professional growth. A comprehensive benefits package (details to be confirmed). If you're an ML Ops Engineer looking for a challenging role within a forward-thinking company, we'd love to hear from you
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