16 of 16 Model Validation Jobs in the North of England

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 ❯

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 ❯

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 ❯

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 ❯

features and address deprecated APIs or tags. Update application skins and user interface components to utilize new ADF Faces and features in 12c. Data Model and Business logic validation. Testing and debugging. Deployment and Support Key Skills/Knowledge Deep understanding of ADF components, including Entity Object, View Objects More ❯

Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring 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 ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

on optimising data pipelines Identify streamline and optimise inefficient processes Prepare and deliver presentations and visual materials that effectively communicate software design decisions and model logic to non-technical stakeholders Skills Knowledge and Expertise A good first degree or higher degree in a highly numerate subject is essential Minimum … performance profiling and optimisation Good understanding of data structures and algorithms An enthusiastic problem-solving mindset with a desire to solve technical problems and model/forecast intricate real-life systems The ability to communicate complex technical concepts to those with little or no technical background in a meaningful More ❯

new system Design and integrate new functionality into an existing sub-system in Simulink Collaborate with other engineers to design and prototype a detailed model of a system to understand observed simulated performance Design and prototype algorithms in Matlab, taking into account hardware limitations and constraints. Investigate the cause … if you have experience in any of the following areas: Systems Engineering specialisms, e.g. Problem definition Systems Architecture Synthetic Environments Performance Modelling Verification and Validation System of Systems Domain specialisms, e.g. Digital signal processing RF systems Multi-sensor data fusion and tracking Real time data simulation/generation Security 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 ❯