7 of 7 Machine Learning Jobs in Warwickshire

Machine Learning field, consult with internal subject matter experts and collaborate with external AI technology vendors, in order to identify and prototype ML application opportunities within FC.Required qualifications:BS in Computer Science, Mathematics or related field, or equivalent professional experience.Strong computer programming fundamentals, proficiency in C++ and Python.Applied … deploying and maintaining Machine Learning applications in productized software.Preferred qualifications:PhD or Masters degree in Computer Science, Mathematics or related fields.Experience with ML frameworks like PyTorch or TensorFlow.Experience in optimizing ML models for memory and compute constrained real-time environments.Experience working with real-time rendering engines ...

teams.Your responsibilities will includeArchitectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise.Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows.Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards.Recommend the optimal technical stack … Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential.Experience:5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends and improvement … opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...

TableauVersion Control – Git, DataOps.live, and experience of CI/CD for data pipelines.Good to have certifications inExperience supporting data science and AI/ML workloads as a consumer of the pipelines you build.Microsoft Certified: Azure Data Engineer AssociateAdditional specialist cloud or devops certificationsWhat You'll GetA competitive salary dependent ...

partnering directly with Moody's Corporation to hire for this role. \n Skills and Competencies \n \n Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies \n Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management ...