76 to 81 of 81 Machine Learning Jobs in Wolverhampton

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate to improve AI model performance ...

with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices for DBT–Cortex architecture and usage patterns. Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake. Build … orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience building semantic layers using DBT metrics. Knowledge of MLOps/DataOps best practices. ...

Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data … analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research teams to productionize models at scale. Present findings through clear documentation, dashboards, and reports. Requirements Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top-tier rankings). Strong experience in data science, analytics, or ML-driven ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...