Slack Administrator | $70/hr Remote
Posted 3 days ago by Crossing Hurdles
Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of Machine Learning Engineer involves developing, training, and deploying machine learning models to address business challenges. The position requires collaboration with various stakeholders to translate requirements into scalable solutions while ensuring model performance and quality. The engineer will also document processes and stay updated on advancements in the field. This is a contract position with flexible hours, primarily remote.
Key Responsibilities:
- Develop, train, and deploy machine learning models using TensorFlow and Scikit-Learn.
- Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering.
- Collaborate with data scientists, data engineers, and business analysts to understand requirements.
- Continuously monitor, evaluate, and refine model performance.
- Document model development processes and communicate results with team members.
- Stay updated on the latest research and advancements in machine learning.
Key Skills:
- Expert-level proficiency in TensorFlow and Scikit-Learn.
- Strong background in data preprocessing and handling missing values.
- Experience in designing and implementing production-ready machine learning systems.
- Solid understanding of algorithm selection and model evaluation metrics.
- Able to work independently and remotely in a fast-paced environment.
Salary (Rate): £70.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: Machine Learning Engineer
Type: Contract
Compensation: $30 - $100/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Develop, train, and deploy machine learning models using TensorFlow and Scikit-Learn to solve real-world business problems.
- Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development.
- Collaborate with data scientists, data engineers, and business analysts to understand requirements and translate them into scalable machine learning solutions.
- Continuously monitor, evaluate, and refine model performance to ensure accuracy, efficiency, and reliability in production environments.
- Document model development processes and communicate technical concepts and results with both technical and non-technical team members.
- Stay updated on the latest research and advancements in machine learning and apply innovative techniques to enhance project outcomes.
Requirements:
- Have expert-level proficiency in TensorFlow and Scikit-Learn for end-to-end model development and deployment.
- Possess a strong background in data preprocessing, including handling missing values, outlier detection, and feature selection.
- Have demonstrated experience in designing and implementing production-ready machine learning systems.
- Have a solid understanding of algorithm selection, model evaluation metrics, and performance tuning.
- Be able to work independently and remotely, delivering results in a fast-paced, deadline-driven environment.
Application Process:
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage