Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: RED is seeking two Data Science Engineers for a contract role based in London, requiring in-person attendance three days a week. The position involves statistical data analysis, machine learning, and natural language processing, with a focus on developing and implementing AI solutions. Candidates should be proficient in Python and SQL, with experience in project delivery from data preparation to model visualization. The role offers opportunities for extensions beyond the initial contract period ending this year.
Key Responsibilities:
- Conduct statistical data analysis and implement machine learning and NLP solutions.
- Develop and implement AI solutions including classification, clustering, and anomaly detection.
- Manage complete project delivery from data preparation to model building, evaluation, and visualization.
- Write production-level code in Python and SQL, utilizing data analysis libraries.
- Work with ML Ops, model development workflows, and feature engineering techniques.
- Manipulate data and develop accessible models for business use, with experience in Azure AI Search.
- Utilize software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., JIRA).
- Stay enthusiastic about learning new technologies and solving problems to deliver production-ready solutions.
Key Skills:
- Proficiency in statistical data analysis, machine learning, and NLP.
- Experience in developing and implementing AI solutions.
- Skilled in project delivery from data preparation to model visualization.
- Proficient in Python programming and SQL.
- Familiarity with ML Ops and model development workflows.
- Experience with Azure AI Search.
- Adept with software development methodologies and project tracking tools.
- Knowledge of Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT