ML Engineer
VIQU IT Recruitment Careers
- Industry Type
- IT
- Functional Area
- IT Information Technology Industry IT Information Technology
- Nationality
- Any
- Keywords
- Machine Learning Model Monitoring Data Observability Data Drift Detection
Job Description
VIQU IT Recruitment Careers is hiring an ML Engineer in London to support a financial services company in improving its machine learning capabilities. The role involves implementing monitoring and observability for production models, including tracking model and data drift.
- Position
- ML Engineer
- Company
- VIQU IT Recruitment Careers
- Location
- London, United Kingdom
- Industry
- IT
- Experience
- 1 to 20 years
Responsibilities
- Implement monitoring and observability across production machine learning models, including model and data drift.
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About the role: ML Engineer
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Machine Learning (ML) Engineers design and develop algorithms that allow computers to learn from data and make decisions. They typically work in technology companies, research institutions, or any industry that uses data-driven solutions.
What this role usually involves
- Develop and implement machine learning models and algorithms.
- Analyze large datasets to extract meaningful insights.
- Collaborate with data scientists and software engineers to integrate ML models into applications.
- Optimize and maintain ML systems for performance and scalability.
- Stay updated with the latest ML research and technologies.
Skills employers usually look for
- Strong programming skills in languages like Python or Java.
- Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
- Ability to work with large datasets and data preprocessing.
- Understanding of algorithms, statistics, and data structures.
- Problem-solving and analytical thinking skills.
Usual qualifications
- A degree in computer science, data science, or a related field is usually expected.
- Knowledge of mathematics and statistics is important.
- Experience or training in machine learning and artificial intelligence concepts.
- Familiarity with software development and data engineering is beneficial.
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