Negotiable
Undetermined
Remote
Remote
Summary: The role focuses on developing and deploying machine learning models using Python and industry-standard libraries. It requires collaboration with cross-functional teams to address business problems through machine learning solutions. The position emphasizes continuous evaluation and improvement of model performance. This is a long-term remote opportunity.
Key Responsibilities:
- Develop and deploy machine learning models using Python and industry-standard libraries
- Implement and optimize algorithms for classification, regression, and predictive analytics
- Apply strong knowledge of data structures to handle large-scale datasets efficiently
- Collaborate with cross-functional teams to translate business problems into ML solutions
- Continuously evaluate model performance and improve accuracy through tuning and experimentation
Key Skills:
- Proficiency in Python and machine learning libraries
- Strong understanding of algorithms for classification and regression
- Experience with data structures and handling large datasets
- Ability to collaborate with cross-functional teams
- Skills in model performance evaluation and optimization
Salary (Rate): £45
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data science
Location: Remote
Long Term
Job Description:
Develop and deploy machine learning models using Python and industry-standard libraries
Implement and optimize algorithms for classification, regression, and predictive analytics
Apply strong knowledge of data structures to handle large-scale datasets efficiently
Collaborate with cross-functional teams to translate business problems into ML solutions
Continuously evaluate model performance and improve accuracy through tuning and experimentation
Develop and deploy machine learning models using Python and industry-standard libraries
* Implement and optimize algorithms for classification, regression, and predictive analytics
* Apply strong knowledge of data structures to handle large-scale datasets efficiently
* Collaborate with cross-functional teams to translate business problems into ML solutions
* Continuously evaluate model performance and improve accuracy through tuning and experimentation