Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 26, 2026
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 26, 2026
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 26, 2026
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Apr 26, 2026
Full time
Would you like to kick start your career in a supportive, collaborative and innovative company? Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? Vendor Data Manager Role Overview: The Vendor Data Manager is a strategic and cross-functional leader, responsible for overseeing the entire lifecycle of product data within Softcat from its acquisition to its eventual deletion. A key part of this is ensuring integrity, security and accessibility of vendor data by collaborating with different teams to maintain high standards and high data quality. Success. The Softcat Way. At Softcat we want to support you at every stage of your career. Whether that means stepping up into a more senior role, taking on more responsibilities in your current role or broadening your skills and experiences in a different department, we encourage all our employees to develop and grow with us. Key Responsibilities: Working with the Head of Business Partnering to develop a clear roadmap for data products aligned with business goals and user needs. Conduct market research and competitive analysis to identify opportunities for improvements to Softcat's vendor data. This could include looking at new sources of data (from our vendors) to further enhance the enrichment of our vendor data or understanding best practice for managing our vendor data. Master Data Management (MDM): Responsible for creating and maintaining a single, consistent and accurate source of truth for Softcat's critical vendor data. The data manager is responsible for ensuring this data is standardised across all systems, preventing inconsistencies and errors. The development and management of business processes to support these responsibilities will form a major part of the job for this Vendor Data Manager. Data Quality Management: Responsible for the process of ensuring data is accurate, complete, consistent and timely. The Data Manager will implement rules and processes to cleanse data, validate its quality and monitor it for any issues. This is a continuous effort to maintain a high level of trust in the data used for business decisions. Responsible for implementing and managing security measures to protect sensitive data from unauthorised access, breaches and cyberattacks. This involves ensuring that data platforms and services are regularly audited to ensure policies are followed (such as ROPAs) and access controls are in place. This will be done in conjunction with the data owners and owners of the different services. Work with the data leadership team to create and maintain a comprehensive data strategy for vendor data that aligns with Softcat's business goals. This includes defining what to collect, how it will be stored, and how it will be used to drive decisions. Required Skills & Qualifications: Strong understanding of data analytics, data engineering, and machine learning concepts. Have a strong understanding of data governance and data quality. Knowledge of how data integration and ETL works in an organisation like Softcat. Solid understanding of data security and compliance or the ability to learn this in the context of managing vendor data for Softcat. Knowledge or experience of MS Purview, CluedIn and PowerBI would be beneficial. Familiarity with agile methodologies, product road mapping, and user-centred design. Attention to detail: A focus on the finer details is crucial as small errors in data can lead to a significant impact. Experience managing data-centric products or platforms. Problem Solving and Analytical Thinking: Must be able to identify and resolve data-related issues, whether they are quality problems or technical glitches. Knowledge of Softcat's Vendor landscape or a similar company would be advantageous for understanding the root cause of issues. Ability to communicate technical concepts to non-technical stakeholders. Strong project management and cross-functional collaboration skills. We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply - we would love to hear from you! Work in a way that works for you We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Hybrid working -3 days in the office and 2 days working from home Working flexible hours - flexing the times you start and finish during the day Flexibility around school pick up and drop offs Working with us Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background. Join us To become part of the success story, please apply now. If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence. You can find out more about life at Softcat and our commitments to diversity and inclusion at Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.
Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Systems Administrator / Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You ll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Systems Administrator / Linux Infrastructure Engineer will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Systems Administrator / Linux Infrastructure Engineer and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability.
Apr 25, 2026
Full time
Innovative Technology start-up in the Sustainability sector seeks an open-minded Linux Systems Administrator / Linux Infrastructure Engineer to maintain internal systems and provide a compute platform to operate their simulation, optimization and AI technology at scale. You ll also have the opportunity to support some exciting research. You should have strong Linux server management experience, ideally across bare metal and Cloud servers, have experience of HPC Cluster environments and be familiar with infrastructure of code. Hybrid working and a generous salary package is on offer including 30 days holiday and Share options. Working with engineers to deliver hosted tools to deliver results more effectively, the successful Linux Systems Administrator / Linux Infrastructure Engineer will have significant influence on the choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC / machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your knowledge and skills should include: Proven Linux Server Management experience (they use Ubuntu). Experience across Bare metal and cloud Servers. Container based deployment such as Kubernetes, Podman or Docker. Python scripting for automation. Server networking, VLANs, DNS, firewalls. Experience with operating distributed computing or HPC cluster environments. VPNs ( company uses Wireguard). Large data storage. Competence in hardware diagnostics and component replacement. Windows and Entra, support of macOS. Flexible approach with a willingness to undertake some help desk duties. If you are a highly experienced Linux Systems Administrator / Linux Infrastructure Engineer and have an interest with physics based simulation and are keen to support ML / AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability.
Senior Quality Inspector (CMM / Metrology) -Permanent, Days. Want a quality role that actually uses your full skillset? If you're a strong CMM Inspector who enjoys variety (not being stuck in a booth), wants access to high-spec kit, and likes being the go-to person for GD&T, problem-solving and mentoring - this is built for you. You'll split your time between advanced CMM inspection/programming and hands-on bench metrology, with full software training available on the CMM. About the role We're looking for a versatile Senior Quality Inspector to join our precision engineering team, verifying complex, tight-tolerance components and supporting shop-floor process stability. You'll also help develop less experienced inspectors and drive best practice across inspection. Key responsibilities Perform high-level inspection using CMM's . Program/run CMM routines and interpret results to support right-first-time quality. Conduct manual/bench inspections using micrometers (external/internal/depth), digital height gauges, surface finish testers, bore gauges and thread measurement tools. Create and verify First Article Inspection Reports (FAIRs) to AS9102. Produce clear inspection reports and maintain robust quality records. Liaise with the machine shop to resolve dimensional issues and improve process stability. Mentor/train junior inspectors in CMM and manual measurement techniques. Candidate requirements Essential: Hands-on CMM inspection experience in an ISO-regulated environment (ISO 9001, AS9100, or equivalent). Essential: Strong GD&T and ability to interpret complex engineering drawings. Essential: CMM programming experience and confidence learning/using 3D metrology software. Strong, practical manual metrology skills with a "shop floor + lab" mindset. This is a permanent job with a recognised employer of choice. You must have current UK right to work to be considered. HRGO are a recruitment agency supporting UK Manufacturing. We aim to respond to all applications.
Apr 25, 2026
Full time
Senior Quality Inspector (CMM / Metrology) -Permanent, Days. Want a quality role that actually uses your full skillset? If you're a strong CMM Inspector who enjoys variety (not being stuck in a booth), wants access to high-spec kit, and likes being the go-to person for GD&T, problem-solving and mentoring - this is built for you. You'll split your time between advanced CMM inspection/programming and hands-on bench metrology, with full software training available on the CMM. About the role We're looking for a versatile Senior Quality Inspector to join our precision engineering team, verifying complex, tight-tolerance components and supporting shop-floor process stability. You'll also help develop less experienced inspectors and drive best practice across inspection. Key responsibilities Perform high-level inspection using CMM's . Program/run CMM routines and interpret results to support right-first-time quality. Conduct manual/bench inspections using micrometers (external/internal/depth), digital height gauges, surface finish testers, bore gauges and thread measurement tools. Create and verify First Article Inspection Reports (FAIRs) to AS9102. Produce clear inspection reports and maintain robust quality records. Liaise with the machine shop to resolve dimensional issues and improve process stability. Mentor/train junior inspectors in CMM and manual measurement techniques. Candidate requirements Essential: Hands-on CMM inspection experience in an ISO-regulated environment (ISO 9001, AS9100, or equivalent). Essential: Strong GD&T and ability to interpret complex engineering drawings. Essential: CMM programming experience and confidence learning/using 3D metrology software. Strong, practical manual metrology skills with a "shop floor + lab" mindset. This is a permanent job with a recognised employer of choice. You must have current UK right to work to be considered. HRGO are a recruitment agency supporting UK Manufacturing. We aim to respond to all applications.
Senior Applied Machine Learning / Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment an click apply for full job details
Apr 25, 2026
Full time
Senior Applied Machine Learning / Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment an click apply for full job details
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
Apr 25, 2026
Full time
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
Key Responsibilities Define and lead a comprehensive AI strategy for Janus Henderson, continuously refining it based on emerging technologies and business needs. Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model development life cycle from proof of concept to deployment. Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Encourage collaboration across business units, embedding AI solutions into processes and supporting integration with technology teams. Monitor industry trends, evaluate new AI techniques and fintech innovations, and lead pilot programs to assess ROI and advocate for strategic investments in data science capabilities. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or related quantitative field. 10+ years of experience in data science or analytics, with at least 5 years in a leadership or managerial capacity, preferably in financial services or asset management. Deep expertise in machine learning and statistical modeling, hands on experience developing and deploying models (e.g., predictive models, NLP, time series forecasting) and managing model risk in a regulated environment. Solid understanding of asset management business, including investment products, portfolio management, performance analytics and regulatory compliance reporting. Demonstrated leadership and communication skills, with the ability to articulate complex analytical findings to senior executives and to influence decision making. Preferred Experience Direct experience within an asset management analytics or quantitative research team. Hands on experience establishing governance processes for AI/ML and familiarity with EU AI Act, SEC guidance on model risk and ethical AI frameworks. Proficiency with advanced analytics libraries and tools used in finance, including quantitative finance libraries, time series databases and visualization platforms such as Tableau or Power BI. Published work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree based models, neural networks, MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption and secure data enclaves. Soft Skills & Leadership Competencies Strategic vision for AI and analytics, communicating the vision to senior leaders. High ethical standards, advocating responsible AI and refusing use cases that pose undue risk. Exceptional storytelling ability, translating complex insights into plain language for non technical audiences. Collaborative influence across IT, investment, compliance and client teams. Mentorship, fostering continuous learning and recruiting top talent. Problem solving resilience, systematically addressing data quality, model performance and resource constraints. What to Expect When You Join Hybrid working with reasonable accommodations. Generous holiday policies and paid volunteer time. Professional development support, tuition reimbursement and continuing education. All inclusive diversity, equity and inclusion culture. Maternal/paternal leave benefits and family services. Access to Headspace, ClassPass and other well being benefits. Unique employee events, including health challenges and evening socials. Supervisory Responsibilities Yes Potential for Growth Mentoring programs Leadership development Regular training sessions Career development services Continuing education courses Regulatory & Ethical Expectations You will be expected to understand the regulatory obligations of the firm and abide by JHI policies applicable to your role, including adherence to the Investment Advisory Code of Ethics. Annual Bonus Opportunity Position may be eligible for an annual discretionary bonus award from the profit pool, with individual awards based on company, department, team and personal performance. Benefits Summary Comprehensive total rewards package including competitive compensation, pension/retirement plans, health and well being benefits, and flexible work arrangements. Equal Opportunity Statement Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.
Apr 25, 2026
Full time
Key Responsibilities Define and lead a comprehensive AI strategy for Janus Henderson, continuously refining it based on emerging technologies and business needs. Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model development life cycle from proof of concept to deployment. Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Encourage collaboration across business units, embedding AI solutions into processes and supporting integration with technology teams. Monitor industry trends, evaluate new AI techniques and fintech innovations, and lead pilot programs to assess ROI and advocate for strategic investments in data science capabilities. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or related quantitative field. 10+ years of experience in data science or analytics, with at least 5 years in a leadership or managerial capacity, preferably in financial services or asset management. Deep expertise in machine learning and statistical modeling, hands on experience developing and deploying models (e.g., predictive models, NLP, time series forecasting) and managing model risk in a regulated environment. Solid understanding of asset management business, including investment products, portfolio management, performance analytics and regulatory compliance reporting. Demonstrated leadership and communication skills, with the ability to articulate complex analytical findings to senior executives and to influence decision making. Preferred Experience Direct experience within an asset management analytics or quantitative research team. Hands on experience establishing governance processes for AI/ML and familiarity with EU AI Act, SEC guidance on model risk and ethical AI frameworks. Proficiency with advanced analytics libraries and tools used in finance, including quantitative finance libraries, time series databases and visualization platforms such as Tableau or Power BI. Published work, patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree based models, neural networks, MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption and secure data enclaves. Soft Skills & Leadership Competencies Strategic vision for AI and analytics, communicating the vision to senior leaders. High ethical standards, advocating responsible AI and refusing use cases that pose undue risk. Exceptional storytelling ability, translating complex insights into plain language for non technical audiences. Collaborative influence across IT, investment, compliance and client teams. Mentorship, fostering continuous learning and recruiting top talent. Problem solving resilience, systematically addressing data quality, model performance and resource constraints. What to Expect When You Join Hybrid working with reasonable accommodations. Generous holiday policies and paid volunteer time. Professional development support, tuition reimbursement and continuing education. All inclusive diversity, equity and inclusion culture. Maternal/paternal leave benefits and family services. Access to Headspace, ClassPass and other well being benefits. Unique employee events, including health challenges and evening socials. Supervisory Responsibilities Yes Potential for Growth Mentoring programs Leadership development Regular training sessions Career development services Continuing education courses Regulatory & Ethical Expectations You will be expected to understand the regulatory obligations of the firm and abide by JHI policies applicable to your role, including adherence to the Investment Advisory Code of Ethics. Annual Bonus Opportunity Position may be eligible for an annual discretionary bonus award from the profit pool, with individual awards based on company, department, team and personal performance. Benefits Summary Comprehensive total rewards package including competitive compensation, pension/retirement plans, health and well being benefits, and flexible work arrangements. Equal Opportunity Statement Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks.
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Apr 24, 2026
Full time
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.
Apr 24, 2026
Full time
Overview The Head of Data Science & AI spearheads Janus Henderson's data driven initiatives, leading the development and execution of a strategy that harnesses data and artificial intelligence across the organization. The role oversees advanced analytics, AI model development, and AI/ML governance, ensuring that AI is applied ethically and effectively to enhance investment research, client experience, and operations while maintaining the firm's standards of accuracy, transparency, and trust. Key Responsibilities AI Strategy: Define and lead a comprehensive AI strategy aligned with business objectives, continuously refining it based on emerging technologies and evolving needs. Model Development & AI Innovation: Lead a team of data scientists and AI engineers to develop predictive models and AI solutions, guiding the model lifecycle from proof of concept to production and ensuring ongoing value and maintenance. AI Governance & Ethics: Establish and enforce an AI governance framework, including model validation, transparency, fairness, and compliance with emerging AI regulations. Enablement & Collaboration: Act as a bridge between the Data Science team and other business units, fostering integration of AI solutions into processes and working closely with technology leaders. Emerging Technology & Thought Leadership: Monitor industry trends, evaluate new AI techniques, pilot innovations, and advocate for investments that deliver competitive advantage and risk reduction. Required Qualifications Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Experience: 10+ years in data science, analytics, or related technology roles, with a minimum of 5 years in leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency: Deep expertise in machine learning techniques, statistical modeling, and large dataset analytics; proven track record of model development and deployment. Industry Knowledge: Solid understanding of asset management products, portfolio management, performance analytics, and client servicing; awareness of how AI is applied in investment management. Leadership & Communication: Demonstrated ability to lead multidisciplinary teams, manage complex projects, and convey analytical insights to senior executives. Preferred Experience Direct experience in an asset management analytics or quantitative research team. Established AI/ML governance processes, including model review committees and monitoring frameworks. Familiarity with advanced analytics ecosystems in finance (e.g., quantitative libraries, time series databases, visualization tools). Published research, patents, or conference presentations in AI or data science related to finance. Technical Skills Programming: Python (pandas, scikit learn, TensorFlow/PyTorch), R, SQL, notebooks, Git. Machine Learning: regression, classification, clustering, tree based models, neural networks; MLOps, model deployment, automated testing. Data Platforms: relational databases, NoSQL, time series, big data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible AI advocacy Storytelling & Communication for non technical audiences Collaboration & Influence across organizational boundaries Mentorship & Talent Development Problem Solving & Resilience Benefits and Working Conditions Hybrid working environment with reasonable accommodations Generous holiday policy Paid volunteer time Professional development support (courses, tuition reimbursement) Inclusive diversity, equity, and inclusion initiatives Family leave benefits Well being initiatives (Headspace, ClassPass) Employee events and wellness perks (complimentary beverages, happy hours) Janus Henderson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Applicants must comply with the firm's Investment Advisory Code of Ethics and any relevant regulatory obligations.
Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm's credit and funding valuation adjustments (CVA and FVA), which are critical to the bank's risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research - Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoted business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities. Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure. Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment. Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs. Drive best practices in quantitative research, software development, and analytical rigor across the team. Required qualifications, capabilities, and skills Solid experience within a quantitative role in finance Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices. Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams. Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices
Apr 24, 2026
Full time
Quantitative Trading & Research (QTR) is an expert quantitative modelling group that partners with traders, marketers and risk managers across products and regions, promoting client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and financial risk controls. We are seeking an experienced Vice President to join our QTR team in London, where you will develop analytics for the Credit Portfolio Group (CPG) within the Markets division of the Commercial and Investment Bank. CPG manages the firm's credit and funding valuation adjustments (CVA and FVA), which are critical to the bank's risk management and pricing strategies, and develops and maintains a large-scale Monte-Carlo engine using advanced numerical and computational techniques, including Adjoint Analytic Differentiation (AAD). As an experienced Vice President in the Quantitative Trading & Research - Credit Portfolio team, you will contribute to our agenda to transform the investment bank into a data-promoted business, promoting change through state-of-the-art AI and machine learning techniques. Job Responsibilities Design, develop, and enhance our large-scale Monte Carlo simulation engine used for computing Credit Valuation Adjustment (CVA) and Funding Valuation Adjustment (FVA) across the firm's derivatives portfolio. Implement advanced numerical techniques to further improve computational efficiency and accuracy of risk sensitivities. Contribute to the firm's strategic agenda of transforming the investment bank into a data-driven business through the development of scalable, high-performance analytical tools and infrastructure. Collaborate with technology teams, ensuring robustness, performance, and maintainability of code in a large-scale production environment. Partner closely with traders, marketers, and risk managers across all products and regions to deliver analytical solutions that meet business needs. Drive best practices in quantitative research, software development, and analytical rigor across the team. Required qualifications, capabilities, and skills Solid experience within a quantitative role in finance Degree in a quantitative field such as Computer Science, Engineering, Mathematics, or Physics Demonstrate expert-level programming skills, particularly in Python, with experience leading development of large-scale, production-grade systems and mentoring others in best coding practices. Proven ability to lead technical projects from conception through delivery, including architecture decisions and stakeholder management Champion robust system and solution architecture, ensuring rigorous testing, verification, and adherence to best practices in design and implementation across teams. Deep software engineering, algorithm design, and development skills with a commitment to robust testing, verification, and code quality standards Exceptional communication and influencing skills, both verbal and written, with a demonstrated ability to engage and advise senior partners and stakeholders on complex and technical topics with precision and clarity Preferred qualifications, capabilities, and skills Advanced degree (e.g. PhD) in Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices
We are looking for a Senior Back-End Developer to join our growing team at Aisthesis Medical. This is a unique opportunity to play a key role in shaping the backend systems of a fast-moving MedTech startup working at the intersection of AI and clinical decision support. You will lead the development of scalable, secure, and high-performance backend infrastructure that supports real-time healthcare data processing and predictive analytics. Responsibilities Architect and implement robust, scalable, and secure backend services and APIs; Ensure system performance, reliability, and fault-tolerance; Integrate external APIs and ensure interoperability with Electronic Health Record (EHR) systems; Contribute to deployment and monitoring of production systems using modern DevOps practices; Design, implement, and deploy software components in a microservice architecture that perform biomedical information processing; Work closely with product, UX, and clinical teams, analyze customer requirements, and rapidly implement prototypes introducing new functionality; Maintain a high standard of code quality through testing, documentation, and peer reviews; Collaborate in an agile environment, striking the right balance between rapid iteration with long-term maintainability and well-tested code. Minimum Qualifications We are looking for professionals with the following skills and experience: BSc/MSc in Computer Science, Electrical and Computer Engineering or similar; Strong proficiency in Python with production-grade back-end frameworks such as Django or FastAPI; Solid understanding of RESTful API design and microservices architecture; Experience on production and DevOps fundamentals Experience with Docker, CI/CD pipelines; Experience on Infrastructure as Code (IaC) using CloudFormation (or Terraform); Experience running production workloads on AWS (or Azure, GCP); Familiarity with PostgreSQL or other relational databases; Ability to understand business and product requirements and translate them into technical requirements; Strong ownership mindset and ability to work in a fast-paced startup environment; Comfortable working in a hybrid setup with in-person collaboration when needed; Fluent in English with excellent communication, collaboration, and problem-solving skills. Nice-to-Haves If you have the following, it's a strong plus: Experience working with healthcare data (FHIR, HL7) or clinical systems; Experience working under European Medical Device Regulations (ISO13485, IEC62304, ISO14971, etc.) Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ); Understanding of data privacy, security, and compliance standards (GDPR, HIPAA); Exposure to machine learning pipelines or MLOps; Familiarity with UI/UX best practices; Passion for writing clean, maintainable, and scalable code; Mentality of commit early and often, metrics before models, and shipping high quality production code; A love of learning and enjoyment of trying new things; Startup experience or interest in working in a high-growth environment. Team Culture We treat each other with respect, humility, and openness; We value curiosity, experimentation, and fast learning; We embrace flexibility and focus on solving real-world problems that matter; We believe in diversity-of background, perspective, and skill set; We value open dialogue and brainstorming across multidisciplinary teams; We prioritize deep work, async collaboration, and only meet when it matters; Work from anywhere in the world (within 3h of GMT), as long as the WiFi's solid. What We Offer Competitive salary tailored to your experience and skills; Remote-first work scheme with in-person collaboration when needed; A mission-driven, close-knit team working on meaningful problems; Opportunities for personal growth through conferences, events, and mentorship.
Apr 24, 2026
Full time
We are looking for a Senior Back-End Developer to join our growing team at Aisthesis Medical. This is a unique opportunity to play a key role in shaping the backend systems of a fast-moving MedTech startup working at the intersection of AI and clinical decision support. You will lead the development of scalable, secure, and high-performance backend infrastructure that supports real-time healthcare data processing and predictive analytics. Responsibilities Architect and implement robust, scalable, and secure backend services and APIs; Ensure system performance, reliability, and fault-tolerance; Integrate external APIs and ensure interoperability with Electronic Health Record (EHR) systems; Contribute to deployment and monitoring of production systems using modern DevOps practices; Design, implement, and deploy software components in a microservice architecture that perform biomedical information processing; Work closely with product, UX, and clinical teams, analyze customer requirements, and rapidly implement prototypes introducing new functionality; Maintain a high standard of code quality through testing, documentation, and peer reviews; Collaborate in an agile environment, striking the right balance between rapid iteration with long-term maintainability and well-tested code. Minimum Qualifications We are looking for professionals with the following skills and experience: BSc/MSc in Computer Science, Electrical and Computer Engineering or similar; Strong proficiency in Python with production-grade back-end frameworks such as Django or FastAPI; Solid understanding of RESTful API design and microservices architecture; Experience on production and DevOps fundamentals Experience with Docker, CI/CD pipelines; Experience on Infrastructure as Code (IaC) using CloudFormation (or Terraform); Experience running production workloads on AWS (or Azure, GCP); Familiarity with PostgreSQL or other relational databases; Ability to understand business and product requirements and translate them into technical requirements; Strong ownership mindset and ability to work in a fast-paced startup environment; Comfortable working in a hybrid setup with in-person collaboration when needed; Fluent in English with excellent communication, collaboration, and problem-solving skills. Nice-to-Haves If you have the following, it's a strong plus: Experience working with healthcare data (FHIR, HL7) or clinical systems; Experience working under European Medical Device Regulations (ISO13485, IEC62304, ISO14971, etc.) Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ); Understanding of data privacy, security, and compliance standards (GDPR, HIPAA); Exposure to machine learning pipelines or MLOps; Familiarity with UI/UX best practices; Passion for writing clean, maintainable, and scalable code; Mentality of commit early and often, metrics before models, and shipping high quality production code; A love of learning and enjoyment of trying new things; Startup experience or interest in working in a high-growth environment. Team Culture We treat each other with respect, humility, and openness; We value curiosity, experimentation, and fast learning; We embrace flexibility and focus on solving real-world problems that matter; We believe in diversity-of background, perspective, and skill set; We value open dialogue and brainstorming across multidisciplinary teams; We prioritize deep work, async collaboration, and only meet when it matters; Work from anywhere in the world (within 3h of GMT), as long as the WiFi's solid. What We Offer Competitive salary tailored to your experience and skills; Remote-first work scheme with in-person collaboration when needed; A mission-driven, close-knit team working on meaningful problems; Opportunities for personal growth through conferences, events, and mentorship.
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
Apr 23, 2026
Full time
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
AI Scientist / Machine Learning Engineer We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream's physiological monitoring and alert systems. You will work closely with the biostatistics team to translate probabilistic and Bayesian models into deployable algorithms that operate on real world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate on device or in distributed systems with constrained connectivity. Responsibilities Design and develop machine learning algorithms for physiological signal analysis and risk detection. Work closely with the biostatistician to implement Bayesian models and probabilistic frameworks. Develop models combining vital signs, motion data, and contextual signals. Build pipelines for sensor data processing, feature extraction, and model training. Implement algorithms suitable for real time and edge deployment. Evaluate model performance and robustness across heterogeneous datasets. Develop simulation and testing environments for algorithm validation. Contribute to the integration of models into the broader software platform. Profile MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field. Strong experience developing machine learning models for time series or sensor data. Strong programming skills in Python. Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Experience building data pipelines and training workflows. Ability to work with imperfect, noisy, or incomplete datasets. Nice to Have Experience with physiological signal processing (ECG, PPG, respiration, etc.). Experience working with wearables or biosensor data. Familiarity with Bayesian modelling or probabilistic machine learning. Experience deploying models on edge devices or constrained hardware. Experience with healthtech, medical AI, or clinical datasets. What You Will Work On Physiological signal processing. Integration of probabilistic models with machine learning systems. Real time monitoring and alert systems. Deployment of models in constrained operational environments. Company Biostream Experience Senior (5+ years of experience)
Apr 23, 2026
Full time
AI Scientist / Machine Learning Engineer We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream's physiological monitoring and alert systems. You will work closely with the biostatistics team to translate probabilistic and Bayesian models into deployable algorithms that operate on real world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi sensor inputs in complex and noisy environments. You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate on device or in distributed systems with constrained connectivity. Responsibilities Design and develop machine learning algorithms for physiological signal analysis and risk detection. Work closely with the biostatistician to implement Bayesian models and probabilistic frameworks. Develop models combining vital signs, motion data, and contextual signals. Build pipelines for sensor data processing, feature extraction, and model training. Implement algorithms suitable for real time and edge deployment. Evaluate model performance and robustness across heterogeneous datasets. Develop simulation and testing environments for algorithm validation. Contribute to the integration of models into the broader software platform. Profile MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field. Strong experience developing machine learning models for time series or sensor data. Strong programming skills in Python. Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Experience building data pipelines and training workflows. Ability to work with imperfect, noisy, or incomplete datasets. Nice to Have Experience with physiological signal processing (ECG, PPG, respiration, etc.). Experience working with wearables or biosensor data. Familiarity with Bayesian modelling or probabilistic machine learning. Experience deploying models on edge devices or constrained hardware. Experience with healthtech, medical AI, or clinical datasets. What You Will Work On Physiological signal processing. Integration of probabilistic models with machine learning systems. Real time monitoring and alert systems. Deployment of models in constrained operational environments. Company Biostream Experience Senior (5+ years of experience)
We believe it takes great people to create a great product. That's why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. The Director of Product Analytics leads Pipedrive's global product analytics function, transforming data into actionable insights that accelerate growth and optimize the performance of the website and product offerings. This role partners deeply with our Product teams to understand customer behavior, pain points and optimisation opportunities, enabling prioritisation of the most impactful enhancements for our customers, and driving the experimentation programme to measure and understand their impact. Your new adventure: Lead and grow a high-performing Product Analytics team focused on behavioral analysis, experimentation, and product data science Define and evolve a global product measurement strategy, ensuring key metrics align product development with business growth and customer retention Build and maintain a unified behavioral analytics framework to map the customer journey-from first website interaction to product adoption and renewal Partner with Product, Engineering, and Marketing to inform roadmaps and connect acquisition channels with in-product behavior Own and scale the experimentation framework, promoting rigorous A/B testing and a strong culture of learning and iteration Turn complex behavioral data into clear insights, dashboards, and narratives that highlight user value and friction points for stakeholders Enable data-informed decision-making by expanding self-service analytics tools and supporting Product Managers with training and guidance Explore and implement AI-driven solutions to improve efficiency, enhance self-serve analytics, and support innovation Does this sound like you? 10+ years in analytics, including at least 5 years leading Product Analytics or Product Data Science functions in a SaaS or digital-first company Experience building, managing, and scaling analytics teams (ideally 10+ people) in a high-growth, global environment Strong understanding of user behavior analysis, retention, and product-led growth principles Advanced proficiency in SQL and data visualization tools (e.g., Tableau), along with experience in behavioral analytics and experimentation platforms (e.g., Amplitude, Optimizely) Experience designing and analyzing A/B and multivariate tests, with a solid understanding of statistical significance and experimental rigor Ability to translate complex data into clear insights and recommendations that influence senior stakeholders, including VP and executive levels Experience applying machine learning or predictive modeling to product use cases (e.g., churn prediction) Strong understanding of SaaS metrics (e.g., LTV/CAC) and how product engagement impacts business performance Why Pipedrive: People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other-no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome Unlock potential - Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change We've got you - Your well-being matters. Enjoy flexible hours, wellness perks, and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave-because we take care of ourselves and our people Grow with us - Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability Packed with purpose - Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company. Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment. Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status. Please note that for this role we're currently unable to offer relocation assistance or visa sponsorship.
Apr 23, 2026
Full time
We believe it takes great people to create a great product. That's why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. The Director of Product Analytics leads Pipedrive's global product analytics function, transforming data into actionable insights that accelerate growth and optimize the performance of the website and product offerings. This role partners deeply with our Product teams to understand customer behavior, pain points and optimisation opportunities, enabling prioritisation of the most impactful enhancements for our customers, and driving the experimentation programme to measure and understand their impact. Your new adventure: Lead and grow a high-performing Product Analytics team focused on behavioral analysis, experimentation, and product data science Define and evolve a global product measurement strategy, ensuring key metrics align product development with business growth and customer retention Build and maintain a unified behavioral analytics framework to map the customer journey-from first website interaction to product adoption and renewal Partner with Product, Engineering, and Marketing to inform roadmaps and connect acquisition channels with in-product behavior Own and scale the experimentation framework, promoting rigorous A/B testing and a strong culture of learning and iteration Turn complex behavioral data into clear insights, dashboards, and narratives that highlight user value and friction points for stakeholders Enable data-informed decision-making by expanding self-service analytics tools and supporting Product Managers with training and guidance Explore and implement AI-driven solutions to improve efficiency, enhance self-serve analytics, and support innovation Does this sound like you? 10+ years in analytics, including at least 5 years leading Product Analytics or Product Data Science functions in a SaaS or digital-first company Experience building, managing, and scaling analytics teams (ideally 10+ people) in a high-growth, global environment Strong understanding of user behavior analysis, retention, and product-led growth principles Advanced proficiency in SQL and data visualization tools (e.g., Tableau), along with experience in behavioral analytics and experimentation platforms (e.g., Amplitude, Optimizely) Experience designing and analyzing A/B and multivariate tests, with a solid understanding of statistical significance and experimental rigor Ability to translate complex data into clear insights and recommendations that influence senior stakeholders, including VP and executive levels Experience applying machine learning or predictive modeling to product use cases (e.g., churn prediction) Strong understanding of SaaS metrics (e.g., LTV/CAC) and how product engagement impacts business performance Why Pipedrive: People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other-no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome Unlock potential - Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change We've got you - Your well-being matters. Enjoy flexible hours, wellness perks, and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave-because we take care of ourselves and our people Grow with us - Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability Packed with purpose - Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company. Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment. Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status. Please note that for this role we're currently unable to offer relocation assistance or visa sponsorship.
Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom. Corporate Functions. At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple's standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you. Responsibilities Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions Architect production inference infrastructure that meets Apple's performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft Minimum Qualifications Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost) Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple's technology stack Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments Preferred Qualifications Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions Published papers in top conferences in ML/Statistics/Maths/compsci. Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality Contributions to open source ML frameworks, published research, or patents in relevant areas Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Company: Apple Inc. Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Apr 23, 2026
Full time
Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom. Corporate Functions. At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple's standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you. Responsibilities Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions Architect production inference infrastructure that meets Apple's performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft Minimum Qualifications Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost) Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple's technology stack Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments Preferred Qualifications Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions Published papers in top conferences in ML/Statistics/Maths/compsci. Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality Contributions to open source ML frameworks, published research, or patents in relevant areas Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Company: Apple Inc. Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
United Kingdom Job Description Posted Wednesday 25 March 2026 at 01:00 Position Title Reports to Microsoft Technical Support Manager Team Department Support Services PURPOSE OF JOB We are seeking an experienced and highly skilled Microsoft Azure 3rd Line Support Engineer to join our dynamic IT support team. The ideal candidate will be responsible for providing advanced technical support for Azure-based solutions, handling complex issues that elevate from the 1st and 2nd line support teams, and ensuring high availability and performance of our cloud infrastructure. Bytes are looking to expand their customer facing Microsoft Support Desk after yet another year of impressive growth. Bytes' collaborative and solution led approach means that our customers look to us to help them deliver and achieve. The Microsoft support team is integral to this approach and our success. Key to success will be to work as part of a close-knit team, with a customer centric service focus. You will be working closely with customers by providing day-to-day technical support, assisting, and contributing to overall technical governance and leadership, technical excellence, and continual service improvement. Communication and collaboration are paramount to this role, you will work closely with a variety of internal and external business and will be continually engaged and collaborating with our clients. KEY RESPONSIBILITIES Take ownership of request raised by Bytes CSP clients or CSP resellers related to their Azure environment affecting any/all azure services and manage until a resolution has been found. Provide prompt and accurate feedback to customers or CSP resellers and assure the client feels included throughout the lifecycle of the ticket by maintaining contact via phone/email/Teams. Provide direct 3rd line escalation for Bytes VIP customers, Bytes CSP Expert customers, and Azure Managed Services customers. Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams. Able to manage and prioritize Open and Unresolved Azure tickets liaising with all 3 rd parties. Troubleshoot and resolve complex incidents and service requests that have been escalated from 1st and 2nd line support teams. Analyse and diagnose issues related to Azure infrastructure and services. Maintain up-to-date documentation on Azure configurations, incident resolutions, and standard operating procedures. Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams. Work closely with other IT teams and stakeholders to ensure smooth operations and integration of Azure services. Collaborate with Microsoft Azure support for escalated issues that require vendor intervention. Stay current with Azure updates, new features, and industry best practices. Participate in continuous improvement initiatives to enhance support processes and service delivery. QUALIFICATIONS, EXPERIENCE, & SKILLS Professional Qualifications Microsoft Data Fundamentals (DP-900) Microsoft Azure Security Engineer (AZ-500) DESIRABLE Micro Microsoft Cybersecurity Architect (SC-100) REQUIRED EXPERIENCE, & SKILLS 6+ years working in a Technical Support team dealing with Microsoft Cloud services Knowledge of Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure Entra, Azure Networking (Vnets, VPNs, ExpressRoute), Azure Storage, Azure SQL Database, Azure App Services, and Azure Kubernetes Service (AKS). Understanding of Azure networking concepts, including Virtual Networks, Network Security Groups, Azure Load Balancer, Azure Application Gateway, and Azure Firewall. Ability to advise clients of Azure Solutions that would meet requirements Ability to troubleshoot and resolve complex networking issues and understand connectivity between on-premises environments and Azure. Knowledge of Azure security features such as Azure Security Centre, Azure Key Vault, Azure Policy, and role-based access control (RBAC). Expertise in implementing and managing Azure Backup and Azure Site Recovery solutions. Strong communication skills to effectively interact with customers, gather requirements, and provide technical guidance. Experience in working in a Microsoft Partner Centre and Lighthouse Knowledge of Azure Entra, Azure Information Protection, Information Rights Management, single sign-on and multi-factor authentication and related technologies (including Microsoft Enterprise Mobility + Security) Ability to create detailed technical documentation, including incident reports, troubleshooting guides, and knowledge base articles. Previous experience automation manual tasks using ARM templates & JSON Knowledge on Hyper-V, VMware and On-prem servers Good understanding of Microsoft 365 Admin Portal and O365 Services Previous experience being part of a team dealing with Out of Hours requests CORE COMPETENCIES & SKILLS - BASED ON POSITION AND GRADE Ability to work proactively, independently and in an agile manner to achieve desired outcomes. Ability to work both independently and as a team player and enjoy working in an environment that requires continuous learning and development. Excellent written and Verbal Communication skills, and capable of communicating with senior stakeholders across the business as well as Client Infrastructure teams. Generate innovative approaches and solutions whilst achieving SLAs. Excellent organizational skills and ability to manage multiple demands whilst staying on top of deadlines. Ability to take ownership of tasks and drive the team objective forward. Provide advice and support to members in different departments within Bytes around Azure services. Driven to find out solutions to reoccurring issues and automate for team understanding/future implementation. Detailed note keeping within tickets to ensure all issues are properly logged with clear plan of future actions. Motivated to utilize training resource available to increase knowledge about Azure and collaboration across the wider team.
Apr 23, 2026
Full time
United Kingdom Job Description Posted Wednesday 25 March 2026 at 01:00 Position Title Reports to Microsoft Technical Support Manager Team Department Support Services PURPOSE OF JOB We are seeking an experienced and highly skilled Microsoft Azure 3rd Line Support Engineer to join our dynamic IT support team. The ideal candidate will be responsible for providing advanced technical support for Azure-based solutions, handling complex issues that elevate from the 1st and 2nd line support teams, and ensuring high availability and performance of our cloud infrastructure. Bytes are looking to expand their customer facing Microsoft Support Desk after yet another year of impressive growth. Bytes' collaborative and solution led approach means that our customers look to us to help them deliver and achieve. The Microsoft support team is integral to this approach and our success. Key to success will be to work as part of a close-knit team, with a customer centric service focus. You will be working closely with customers by providing day-to-day technical support, assisting, and contributing to overall technical governance and leadership, technical excellence, and continual service improvement. Communication and collaboration are paramount to this role, you will work closely with a variety of internal and external business and will be continually engaged and collaborating with our clients. KEY RESPONSIBILITIES Take ownership of request raised by Bytes CSP clients or CSP resellers related to their Azure environment affecting any/all azure services and manage until a resolution has been found. Provide prompt and accurate feedback to customers or CSP resellers and assure the client feels included throughout the lifecycle of the ticket by maintaining contact via phone/email/Teams. Provide direct 3rd line escalation for Bytes VIP customers, Bytes CSP Expert customers, and Azure Managed Services customers. Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams. Able to manage and prioritize Open and Unresolved Azure tickets liaising with all 3 rd parties. Troubleshoot and resolve complex incidents and service requests that have been escalated from 1st and 2nd line support teams. Analyse and diagnose issues related to Azure infrastructure and services. Maintain up-to-date documentation on Azure configurations, incident resolutions, and standard operating procedures. Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams. Work closely with other IT teams and stakeholders to ensure smooth operations and integration of Azure services. Collaborate with Microsoft Azure support for escalated issues that require vendor intervention. Stay current with Azure updates, new features, and industry best practices. Participate in continuous improvement initiatives to enhance support processes and service delivery. QUALIFICATIONS, EXPERIENCE, & SKILLS Professional Qualifications Microsoft Data Fundamentals (DP-900) Microsoft Azure Security Engineer (AZ-500) DESIRABLE Micro Microsoft Cybersecurity Architect (SC-100) REQUIRED EXPERIENCE, & SKILLS 6+ years working in a Technical Support team dealing with Microsoft Cloud services Knowledge of Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure Entra, Azure Networking (Vnets, VPNs, ExpressRoute), Azure Storage, Azure SQL Database, Azure App Services, and Azure Kubernetes Service (AKS). Understanding of Azure networking concepts, including Virtual Networks, Network Security Groups, Azure Load Balancer, Azure Application Gateway, and Azure Firewall. Ability to advise clients of Azure Solutions that would meet requirements Ability to troubleshoot and resolve complex networking issues and understand connectivity between on-premises environments and Azure. Knowledge of Azure security features such as Azure Security Centre, Azure Key Vault, Azure Policy, and role-based access control (RBAC). Expertise in implementing and managing Azure Backup and Azure Site Recovery solutions. Strong communication skills to effectively interact with customers, gather requirements, and provide technical guidance. Experience in working in a Microsoft Partner Centre and Lighthouse Knowledge of Azure Entra, Azure Information Protection, Information Rights Management, single sign-on and multi-factor authentication and related technologies (including Microsoft Enterprise Mobility + Security) Ability to create detailed technical documentation, including incident reports, troubleshooting guides, and knowledge base articles. Previous experience automation manual tasks using ARM templates & JSON Knowledge on Hyper-V, VMware and On-prem servers Good understanding of Microsoft 365 Admin Portal and O365 Services Previous experience being part of a team dealing with Out of Hours requests CORE COMPETENCIES & SKILLS - BASED ON POSITION AND GRADE Ability to work proactively, independently and in an agile manner to achieve desired outcomes. Ability to work both independently and as a team player and enjoy working in an environment that requires continuous learning and development. Excellent written and Verbal Communication skills, and capable of communicating with senior stakeholders across the business as well as Client Infrastructure teams. Generate innovative approaches and solutions whilst achieving SLAs. Excellent organizational skills and ability to manage multiple demands whilst staying on top of deadlines. Ability to take ownership of tasks and drive the team objective forward. Provide advice and support to members in different departments within Bytes around Azure services. Driven to find out solutions to reoccurring issues and automate for team understanding/future implementation. Detailed note keeping within tickets to ensure all issues are properly logged with clear plan of future actions. Motivated to utilize training resource available to increase knowledge about Azure and collaboration across the wider team.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Spotify is building the future of music, podcasts, and audio experiences - and conversational AI is a key part of that journey. Within our Conversation Product Area, we're creating the platform that powers intelligent, interactive experiences across Spotify. In this role, you'll lead the Agent Platform - the foundation behind experiences like AI DJ, Prompted Playlists, and integrations with partners such as ChatGPT, Google Gemini, and Alexa. You'll help bring these systems together into a unified platform that enables teams across Spotify to build consistent, high-quality conversational experiences. What You'll Do Define and drive the vision, strategy, and roadmap for the Agent Platform that powers conversational experiences across Spotify Build a unified platform that supports features like AI DJ, Search, Prompted Playlists, and partner integrations Work closely with internal engineering teams to understand their needs and improve how they build and scale agent-based experiences Shape the tools, capabilities, and integrations the platform provides, balancing immediate product needs with long-term scalability Define and track metrics that measure agent performance, including quality, reliability, latency, and cost Partner with engineering, design, and product leaders to align priorities and deliver on shared goals Ensure strong observability, evaluation, and monitoring capabilities are built into the platform Stay up to date with advances in AI and conversational systems, and apply those insights to evolve the platform Who You Are You have 6+ years of product management experience, including work on platform, infrastructure, or developer-focused products You have experience working with AI or machine learning products, such as LLM-based systems or conversational experiences You are comfortable engaging in technical discussions and making trade-offs between different system designs You have experience working across teams and aligning stakeholders in complex, evolving environments You think deeply about developer experience and care about building tools that help others move faster You are comfortable working in ambiguity and helping shape product direction while delivering results You communicate clearly and can translate complex technical ideas into simple, compelling narratives You have experience with evaluation systems, agent frameworks, or similar technologies, or you're excited to learn Where You'll Be This role is based in Stockholm or London We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.
Apr 22, 2026
Full time
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Spotify is building the future of music, podcasts, and audio experiences - and conversational AI is a key part of that journey. Within our Conversation Product Area, we're creating the platform that powers intelligent, interactive experiences across Spotify. In this role, you'll lead the Agent Platform - the foundation behind experiences like AI DJ, Prompted Playlists, and integrations with partners such as ChatGPT, Google Gemini, and Alexa. You'll help bring these systems together into a unified platform that enables teams across Spotify to build consistent, high-quality conversational experiences. What You'll Do Define and drive the vision, strategy, and roadmap for the Agent Platform that powers conversational experiences across Spotify Build a unified platform that supports features like AI DJ, Search, Prompted Playlists, and partner integrations Work closely with internal engineering teams to understand their needs and improve how they build and scale agent-based experiences Shape the tools, capabilities, and integrations the platform provides, balancing immediate product needs with long-term scalability Define and track metrics that measure agent performance, including quality, reliability, latency, and cost Partner with engineering, design, and product leaders to align priorities and deliver on shared goals Ensure strong observability, evaluation, and monitoring capabilities are built into the platform Stay up to date with advances in AI and conversational systems, and apply those insights to evolve the platform Who You Are You have 6+ years of product management experience, including work on platform, infrastructure, or developer-focused products You have experience working with AI or machine learning products, such as LLM-based systems or conversational experiences You are comfortable engaging in technical discussions and making trade-offs between different system designs You have experience working across teams and aligning stakeholders in complex, evolving environments You think deeply about developer experience and care about building tools that help others move faster You are comfortable working in ambiguity and helping shape product direction while delivering results You communicate clearly and can translate complex technical ideas into simple, compelling narratives You have experience with evaluation systems, agent frameworks, or similar technologies, or you're excited to learn Where You'll Be This role is based in Stockholm or London We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.
Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas's Underwriting department in the Broker Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our Broker insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full-time.This exciting role as Senior Technical Pricing Analyst offers the opportunity to explore and use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques to generate profitable business growth. The Senior Technical Pricing Analyst will support projects, assisting in data preparation, performing, and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions - all of which will help drive our competitive positioning. This role has a strong research and development focus, so the ideal candidate will be a self-motivated individual with independent research experience and the proven ability to drive complex projects through the complete development cycle, from early conceptualization to implementation. Furthermore, the successful candidate will receive a generous study package to support them on the rewarding route to qualification as an Actuary. Main responsibilities of the Senior Technical Pricing Analyst: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricingAssisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problemsProducing reports, documentation, and presentations to communicate statistical models and results to key stakeholdersIdentifying opportunities to challenge and improve existing methodologies, deploying new analytical techniques that deliver new insights and tangible operational improvements. To be successful the Senior Technical Pricing Analyst will have the following: Essential A or A grades in Mathematics and other numerate A-levels.2'1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics.A PhD or a research-based Masters is highly desired for this role.Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects. A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. Desirable Experience of actuarial pricing or statistical modelling, preferably in a regulated multi-divisional industry. Experience of machine learning techniques e.g., GBMs, Elastic Net Regression or Random Forests in Python or R would be highly advantageous.Experience, or awareness, of industry-specific software such as Emblem would be looked upon favorably.Previous experience of working in partnership with teams to influence, gain buy in and share knowledge with particular emphasis on being able to present difficult concepts clearly. Here are some of the benefits you can enjoy with the Senior Technical Pricing Analyst role: A competitive pension for which Ageas will pay twice the amount.Generous amount of holidays with the option to buy up to 10 additional days.Annual Salary review.Discretionary annual bonus based on personal and company performance. Life assurance of 4 x salary with the option to flex up.Return to work programme scheme.Flexible benefits package (private medical insurance, health and dental plans, free life assurance policy, discounted gym membership, cycle to work scheme as well as discounts with a wide range of retailers through our partner Perkz).Support groups- wellbeing activities, yoga, mindfulness sessions, Sports and Social Club events and more.About : With a history of almost 200 years we pride ourselves on being a leading provider of award-winning insurance solutions in the UK. We've scooped a Gold Standard Insurance Award for the last nine years running and received a five star defaqto rating for offering the highest quality products in the market. We take pride in creating a supportive, inclusive and safe environment, encouraging people to bring 100% of themselves to work every day and where our people are our most valuable asset. With over 2,800 employees, our people help Ageas create a thriving, creative and innovative place to work, which is echoed in the service we provide to over five million customers. We are the Proud Partners of Bourne Free - Bournemouth Pride, a Stonewall Diversity Champion, a signatory of the Women in Finance Charter and the Insurance Inclusion Pledge and support the Rays of Sunshine and will continue to broaden our Inclusion agenda.Our purpose is clear: To make insurance easy and personal for our customers. We live and breathe our values - we care and respect those around us; we dare to push our boundaries, we deliver what we promise, above all, we learn together, inspire others and share success. Click the 'Apply Now' button to start your application for the Senior Technical Pricing Analyst role.
Apr 22, 2026
Full time
Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas's Underwriting department in the Broker Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our Broker insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full-time.This exciting role as Senior Technical Pricing Analyst offers the opportunity to explore and use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques to generate profitable business growth. The Senior Technical Pricing Analyst will support projects, assisting in data preparation, performing, and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions - all of which will help drive our competitive positioning. This role has a strong research and development focus, so the ideal candidate will be a self-motivated individual with independent research experience and the proven ability to drive complex projects through the complete development cycle, from early conceptualization to implementation. Furthermore, the successful candidate will receive a generous study package to support them on the rewarding route to qualification as an Actuary. Main responsibilities of the Senior Technical Pricing Analyst: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricingAssisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problemsProducing reports, documentation, and presentations to communicate statistical models and results to key stakeholdersIdentifying opportunities to challenge and improve existing methodologies, deploying new analytical techniques that deliver new insights and tangible operational improvements. To be successful the Senior Technical Pricing Analyst will have the following: Essential A or A grades in Mathematics and other numerate A-levels.2'1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics.A PhD or a research-based Masters is highly desired for this role.Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects. A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. Desirable Experience of actuarial pricing or statistical modelling, preferably in a regulated multi-divisional industry. Experience of machine learning techniques e.g., GBMs, Elastic Net Regression or Random Forests in Python or R would be highly advantageous.Experience, or awareness, of industry-specific software such as Emblem would be looked upon favorably.Previous experience of working in partnership with teams to influence, gain buy in and share knowledge with particular emphasis on being able to present difficult concepts clearly. Here are some of the benefits you can enjoy with the Senior Technical Pricing Analyst role: A competitive pension for which Ageas will pay twice the amount.Generous amount of holidays with the option to buy up to 10 additional days.Annual Salary review.Discretionary annual bonus based on personal and company performance. Life assurance of 4 x salary with the option to flex up.Return to work programme scheme.Flexible benefits package (private medical insurance, health and dental plans, free life assurance policy, discounted gym membership, cycle to work scheme as well as discounts with a wide range of retailers through our partner Perkz).Support groups- wellbeing activities, yoga, mindfulness sessions, Sports and Social Club events and more.About : With a history of almost 200 years we pride ourselves on being a leading provider of award-winning insurance solutions in the UK. We've scooped a Gold Standard Insurance Award for the last nine years running and received a five star defaqto rating for offering the highest quality products in the market. We take pride in creating a supportive, inclusive and safe environment, encouraging people to bring 100% of themselves to work every day and where our people are our most valuable asset. With over 2,800 employees, our people help Ageas create a thriving, creative and innovative place to work, which is echoed in the service we provide to over five million customers. We are the Proud Partners of Bourne Free - Bournemouth Pride, a Stonewall Diversity Champion, a signatory of the Women in Finance Charter and the Insurance Inclusion Pledge and support the Rays of Sunshine and will continue to broaden our Inclusion agenda.Our purpose is clear: To make insurance easy and personal for our customers. We live and breathe our values - we care and respect those around us; we dare to push our boundaries, we deliver what we promise, above all, we learn together, inspire others and share success. Click the 'Apply Now' button to start your application for the Senior Technical Pricing Analyst role.
