Data Science engineer (Remote)
Posted 1 day ago by Hire Feed
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Data Science Engineer role is a remote contract position focused on designing, building, and deploying machine learning models and data pipelines for scalable AI solutions. The position requires collaboration with cross-functional teams to translate business needs into technical implementations. Candidates will be responsible for developing production-grade models and optimizing them for performance in cloud environments. This role offers the chance to work with a leading company in the Technology, Information, and Internet industry.
Key Responsibilities:
- Develop and maintain production-grade data science models using Python and relevant frameworks.
- Design and implement data pipelines to process large-scale datasets for model training and inference.
- Collaborate with software engineers to integrate models into production systems and APIs.
- Optimize models for performance, scalability, and cost-efficiency in cloud environments.
- Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.
Key Skills:
- Proficiency in Python with experience in data science libraries such as NumPy, Pandas, and Scikit-learn.
- Experience with machine learning frameworks including TensorFlow, PyTorch, or similar tools.
- Strong background in statistical modeling, regression, classification, and clustering techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).
- Experience with SQL and database systems for data extraction and transformation.
- Ability to write clean, maintainable, and well-documented code.
- Understanding of MLOps practices, including model deployment and monitoring.
- Experience with version control systems such as Git.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role : Data Science engineer (Remote)
Location : Remote (Work from Anywhere)
Job Type : Contract
Payout : Competitive, based on experience
Role Overview: We are hiring for one of our clients, seeking a Data Science engineer to work on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions. You will collaborate with cross-functional teams to translate business requirements into technical solutions.
Key Responsibilities:
- Develop and maintain production-grade data science models using Python and relevant frameworks.
- Design and implement data pipelines to process large-scale datasets for model training and inference.
- Collaborate with software engineers to integrate models into production systems and APIs.
- Optimize models for performance, scalability, and cost-efficiency in cloud environments.
- Conduct rigorous testing and validation to ensure model accuracy, reliability, and compliance.
Required Skills & Qualifications:
- Proficiency in Python with experience in data science libraries such as NumPy, Pandas, and Scikit-learn.
- Experience with machine learning frameworks including TensorFlow, PyTorch, or similar tools.
- Strong background in statistical modeling, regression, classification, and clustering techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop).
- Experience with SQL and database systems for data extraction and transformation.
- Ability to write clean, maintainable, and well-documented code.
- Understanding of MLOps practices, including model deployment and monitoring.
- Experience with version control systems such as Git.
More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions that drive business outcomes. You will have the opportunity to solve complex data challenges in a collaborative, remote-first environment.
Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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