to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power … t just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the … Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: Master's degree in ComputerScience, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies 6 years of experience More ❯
to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power … t just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the … Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: Master's degree in ComputerScience, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies 6 years of experience More ❯
to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power … t just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the … Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: Master's degree in ComputerScience, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies 6 years of experience More ❯
to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power … t just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the … Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: Master's degree in ComputerScience, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies 6 years of experience More ❯
Woking, Surrey, United Kingdom Hybrid / WFH Options
Arrow McLaren IndyCar
team, you will provide technical leadership on a range of projects, contribute to initiatives beyond your own team, and mentor less experienced team members. Role Dimensions The Software & Data Science department is responsible for the analysis, design, and delivery of bespoke software tools and methodologies that help improve our Formula 1 car's performance. This starts with aerodynamicists submitting … acquisition, processing, and analysis, to simulation and car setup optimisation, to trackside operational decision-making tools such as race strategy. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focussed platforms and solutions. As a Senior Specialist Software Engineer, your role will combine elements of technical leadership, agile/… define specifications, and to architect robust, scalable, and testable software and system solutions. To work collaboratively with your team, the department, and stakeholders in line with the Software & Data Science Guiding Principles. To accurately estimate activity timescales and provide clear and regular progress reports. To raise awareness of and mitigate against potential technical risks. To confidently analyse and overcome More ❯
Woking, Surrey, United Kingdom Hybrid / WFH Options
Arrow McLaren IndyCar
finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools and methodologies which improve the team and car's performance. We are a cross … functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and will have experience in building complex user interfaces that can present and manage large amounts of data. As a … days, which may include limited on-call to resolve mission critical issues. Support the prioritisation and resource requirements of projects across Engineering. Knowledge, Skills and Experience Essential Bsc in ComputerScience or equivalent discipline (2:1 or above) or equivalent industry experience. Extensive commercial experience delivering projects using agile/lean methodologies. A strong full stack software development 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 … 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 ❯
