13 of 13 Permanent Model Validation Jobs in the North West

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative … class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative … class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and its applications; you'll demonstrate an understanding of data … to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency … the right tools What's involved: You'll contribute to the design and implementation of Machine Learning Engineering standards and frameworks. You'll support model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist More ❯

implement AI/Machine Learning Ensuring that all data science deliverables meet the highest standards of quality, accuracy, reliability and implement rigorous testing and validation processes to validate model performance and mitigate risks. Leading the end-to-end process of model development, including data collection pre-processing … feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a variety of models. Excellent … you will have the opportunity to put your stamp on an already established business during this phase of development. Operating with a hybrid business model, you'll be required to come into the Manchester office 2 days per week to collaborate with fellow colleagues. For your hard work you More ❯

implement AI/Machine Learning Ensuring that all data science deliverables meet the highest standards of quality, accuracy, reliability and implement rigorous testing and validation processes to validate model performance and mitigate risks. Leading the end-to-end process of model development, including data collection pre-processing … feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a variety of models. Excellent … you will have the opportunity to put your stamp on an already established business during this phase of development. Operating with a hybrid business model, you'll be required to come into the Manchester office 2 days per week to collaborate with fellow colleagues. For your hard work you More ❯

from conception to deployment and monitoring. Guide the team in building, training, and deploying models. Ensure best practices in data preparation, feature engineering, and model validation. Establish workflows for deployment, monitoring, and scaling of models. Qualifications Proven experience as a Machine Learning Engineer, with leadership experience in deploying models More ❯

the business. Liaise with the IT team and data scientists to strive for greater functionality in our data systems. Establish efficient, automated processes for model development, validation, implementation and documentation. Profile The successful Data Engineer should have: Proficiency in Big Data Modelling, ETL and Data warehousing. Proficient in More ❯

Research Fellow in Digital Twin of LV Grids for V2X Integration - Salford Postdoctoral Research Fellow in Digital Twin of LV Grids for V2X Integration Opportunity: Salford Business School boasts a vibrant international community. We are pioneers in redefining education and More ❯

About the Role Location: United Kingdom, Manchester Remote vs. Office: Hybrid (Remote/Office) Company: Siemens Energy Limited Organization: Grid Technologies Business Unit: Grid Solutions Employment Type: Full-time Experience Level: Not specified A Snapshot of Your Day: As a More ❯