Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of AI/ML Engineer involves designing, developing, and deploying machine learning models to solve complex business challenges. The position requires collaboration with cross-functional teams and the implementation of efficient ETL processes. Candidates must possess expert-level proficiency in machine learning and advanced programming skills in Python. The role is remote and offers flexible commitment hours ranging from 10 to 40 hours per week.
Key Responsibilities:
- Design, develop, and deploy machine learning models to address complex business challenges.
- Collaborate with cross-functional teams to gather requirements, define data pipelines, and deliver impactful AI solutions.
- Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management.
- Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications.
- Continuously monitor, evaluate, and enhance the performance and accuracy of deployed models.
- Document processes, methodologies, and model decisions to ensure transparency and reproducibility.
Key Skills:
- Expert-level proficiency in machine learning techniques and algorithms.
- Advanced programming skills in Python and its data science ecosystem, including libraries such as NumPy, pandas, and scikit-learn.
- Hands-on experience designing and managing ETL workflows in production environments.
- Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
- Proven ability to collaborate and thrive in remote, distributed team settings.
Salary (Rate): £160.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: AI/ML Engineer
Type: Contract
Compensation: $30 - $160/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Design, develop, and deploy machine learning models to address complex business challenges.
- Collaborate with cross-functional teams to gather requirements, define data pipelines, and deliver impactful AI solutions.
- Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management.
- Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications.
- Continuously monitor, evaluate, and enhance the performance and accuracy of deployed models.
- Document processes, methodologies, and model decisions to ensure transparency and reproducibility.
Requirements
- Have expert-level proficiency in machine learning techniques and algorithms.
- Possess advanced programming skills in Python and its data science ecosystem, including libraries such as NumPy, pandas, and scikit-learn.
- Have hands-on experience designing and managing ETL workflows in production environments.
- Have a strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
- Demonstrate a proven ability to collaborate and thrive in remote, distributed team settings.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage