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This is an exciting opportunity for a talented MLOps 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 £100,000.
- 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.
