s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
s real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling … more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
IT Graduate Recruitment
d love to hear from you. Apply now with your CV. Let’s build something great together. Junior Software Developer, Junior Developer, Mid-Level Developer, Python Developer, C++ Developer, ComputerScience Graduate, Full Stack, Software Engineer, Cloud, Machine Learning, JavaScript, Coding, Technology Jobs More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Nigel Wright Group
Windows and Linux administration experience Strong communication skills for interacting with clients and team members Financial Services experience is a plus but not required A minimum 2.1 degree in ComputerScience or a related field, preferably from a leading university Responsibilities Automating infrastructure and environments Managing and maintaining Continuous Integration infrastructure Developing monitoring and diagnostics tools Delivering end More ❯
Desirable Skills Familiarity with DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. Education Bachelor's degree in Engineering, ComputerScience, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. What you'll get in return: High-impact projects : Work on innovative AI More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience More ❯
more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computerscience, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience More ❯
