294 jobs found

A technology solutions provider in Northern Ireland is seeking a Lead Data Scientist to architect and deliver advanced AI solutions. You will drive the adoption of cutting-edge technologies and collaborate with clients to translate challenges into effective AI applications. The ideal candidate should have solid experience in Python, AI engineering approaches, and deep learning frameworks. This role includes mentoring junior team members, fostering innovation, and ensuring responsible AI practices.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager , who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

Location Birmingham, London, Manchester, Reading, Leeds, Lanarkshire Overview This Senior AI Product Manager role is about unlocking the power of AI and data to drive meaningful, measurable impact across Virgin Media O . You'll own the strategy and vision for a key part of our AI and data portfolio, shaping products that solve real business problems and deliver clear value for customers and colleagues alike. Working at the intersection of technology, data science and commercial priorities, you'll play a critical role in turning ambition into outcomes. Responsibilities You'll lead products end to end, from early ideation through to launch and scaled adoption, partnering closely with data science, engineering and senior business stakeholders. Acting as the connector between technical and non technical teams, you'll translate complex needs into clear product direction, define success metrics and use insight to continuously improve performance. This is a role for someone who enjoys influence, structured problem solving and building momentum around innovative AI driven solutions. Qualifications The must haves Experience in Product Management, preferably within the AI space Proven experience building products that work closely with data science, AI or equivalent business domains Substantial experience working in cross functional teams with data science and engineering Strong ability to translate business needs into product solutions and explain technical concepts to non technical stakeholders Ability to influence without authority across a wide range of stakeholders The other stuff we are looking for Experience analysing large data sets to inform product decisions Understanding of machine learning, AI and data analytics concepts Technical confidence to engage with solution design alongside engineers and data scientists Experience supporting AI or data driven transformation initiatives Benefits We know life isn't just about work, so our benefits are built to support you in the moments that matter. You'll get Bupa healthcare, wellbeing support, life cover, a pension and generous holiday -plus your birthday off. Additional perks include optional electric vehicle lease and Cycle2Work schemes, dental insurance, neurodiversity assessments, and discounts on broadband, TV and mobile. You'll also have access to the Virgin Family platform and the O Priority app, with exclusive rewards, experiences and chances to attend events. Equal opportunity statement Virgin Media O is an equal opportunities employer and we work hard to remove bias and barriers. We want every person who joins us - and everyone thinking about joining us - to feel seen, heard and supported.

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist / Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. What you'll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

A financial services company is looking for a Lead Data Scientist to spearhead the development of deep learning models for underwriting. This role involves transforming complex data into actionable insights and requires strong experience in machine learning frameworks like TensorFlow and PyTorch. The position offers a hybrid working model based in Nottingham or London, with numerous benefits including private medical insurance and career development opportunities.

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist / Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. What you'll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Product Manager About this role Year after year we've been recognised as a great place to work. In 2025, Capital One was ranked 15th in the UK's Best Workplaces list. At Capital One, we believe great products begin with a deep understanding of our customers. From our earliest days, we pioneered the use of predictive modeling to individually personalise credit card offers, turning the entire industry on its head. Our heritage of data driven decisions, combined with human centred approach, enables us to continue to design and build truly innovative financial experiences for our customers. We're using this approach to build our next generation data platform, leveraging modern technology to deliver transformative experiences to our customers. We're seeking a Senior Data Product Manager, who will be pivotal in the delivery of value and fostering collaboration. As a senior member of our Digital Product team, you will play a strategic role in defining where we invest in our data products and platforms, working with stakeholders across Engineering, Business Analysis, Data Science, Data Analytics and Data Governance. What you'll do Autonomously lead the discovery, definition and delivery of new data products and platform features that deliver our key business outcomes across data, modelling, reporting and analytical capabilities Manage existing data products to drive business performance across the value chain, including growth, underwriting, marketing and customer servicing. Collaborate with data producers and consumers (Data Scientists, Analysts & Engineers) to define Product capability needs and prioritise delivery of those that add most value Collaborate with your product team, engineering, delivery leads, consulting groups (Architecture, Cyber & Data Risk) and the US Enterprise to ensure those capabilities make it into the hands of our users Be an advocate for data governance, ensuring that everything we build meets our high standards whilst providing a frictionless user experience Integrate business analytics in every aspect of design and development, and define metrics to measure the success of products Maintain a rigorously human-centred approach, obsessing about internal and external customer needs to reimagine customer interactions What you'll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform capabilities Ability to influence and inspire senior stakeholders through strong commercial thinking & engaging communication Proven ability to leverage data and insight to define product strategy and customer experience Passionate about collaborating with technically minded data users and engineers, but you can also translate for non-technical stakeholders Excellent communication skills, able to engage, influence and inspire Deep understanding of data applications An understanding of UK regulatory landscapes and consumer lending would be desirable Where and how you'll work This is a permanent position based in our Nottingham or London offices. If you're based in the London office, there will be frequent travel to Nottingham. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in one of our offices 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for fem

Tullow is an independent energy company dedicated to building a better future through responsible oil and gas development in Africa, with producing assets in Ghana. We are committed to achieving Net Zero on our Scope 1 and 2 greenhouse gas emissions by 2030. Our Shared Prosperity strategy ensures we deliver lasting socio-economic benefits to host nations by investing in local skills development, community partnerships and sustainable infrastructure. At Tullow, our people are our greatest asset. We foster a value-led culture underpinned by Aim High, Own It and Be True, where continuous improvement, collaboration and inclusion are at the heart of everything we do. The Opportunity Tullow is offering an exciting opportunity within the Jubilee Field Developments team. We are looking for a dynamic Lead Development Geologist to join us on a Permanent (hybrid) basis, located at our office in Chiswick, UK. Job Purpose This role will provide geological support within the Jubilee subsurface development team, to include geomodelling, infill well planning, support to well operations, geoscience data evaluation and integration, in support of development activities on the Jubilee deepwater oil field. The position requires close collaboration with subsurface, drilling, and operations teams, as well as engagement with joint venture partners. Key Roles and Responsibilities Develop, update and maintain 3D geological and reservoir models. Integrate seismic (including seismic attributes), well log, core, and production data to refine reservoir understanding. Quantify uncertainties and support scenario-based modelling for field development and infill well planning. Collaborate with reservoir engineers to ensure models are fit-for-purpose for simulation. In collaboration with team geoscientists and reservoir engineers, support and advise reservoir static model updates for history matching. Infill Well Planning & Operations Identify and mature infill drilling opportunities to maximize recovery. Perform reservoir mapping, volumetrics, and risk assessments for proposed well locations. Recommend optimal well trajectories and targets in collaboration with drilling and subsurface teams. Support economic evaluations and reserves booking processes. Provide geological input into well design, planning, and execution for deepwater operations. Support real-time drilling activities, including geosteering and formation evaluation using LWD/MWD data. Collaboration & Stakeholder Engagement Prepare and present high-quality technical materials for partner meetings and assurance reviews. Interface with host government and regulatory bodies where required. Drive collaboration across geoscience, reservoir engineering, drilling, and operations teams. Experience & Education Degree in Geology or Geophysics. Masters level or greater preferred. Skills Strong expertise in deepwater depositional systems and reservoir geology. Strong understanding of the impact of geology, and petrophysics, on reservoir dynamic behaviour in producing oil fields. Experience in the application of workflows and model updates for history matching on late life producing assets. Proven experience in infill well planning and reservoir optimization. Solid understanding of drilling operations, well planning, and geosteering workflows. Ability to integrate multidisciplinary datasets into coherent geological interpretations. Strong analytical, problem-solving, and decision-making skills. Effective communication skills, with the ability to influence technical and non-technical stakeholders. Experience working in cross-functional, multicultural teams. What we Offer Tullow offer a competitive reward package of base salary, incentives and benefits which is designed to attract, retain, and motivate the best talent. Flexible hours to help you balance work and life commitments. A performance-driven culture that rewards results and innovation. A strong commitment to your development , including tailored learning programmes and mentoring. The opportunity to make a real impact , working alongside dedicated experts across functions. A genuinely inclusive and diverse environment where every voice is valued. Competitive remuneration , performance-linked incentives and comprehensive benefits. We believe in building long-term, mutually beneficial relationships with our people. Tullow offer an opportunity to broaden your horizons, grow your network and have the support you need to thrive.

Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details

A leading global information provider is looking for a Research Scientist Intern to innovate in AI research, focusing on large language models and their applications. The intern will work collaboratively in a data-rich environment to publish research findings and contribute to model development. Candidates should have a relevant PhD background, publications in top-tier venues, and familiarity with deep learning frameworks. A competitive compensation and hybrid work model are offered.

A leading contract research organization in the UK is seeking an experienced Analytical Scientist to join their team in Alnwick. The role involves developing and validating analytical methodologies in a regulated environment and requires effective communication and critical data assessment skills. The ideal candidate holds a BSc (Hons) in a relevant scientific discipline, with experience in a pharmaceutical setting being advantageous. Flexible working arrangements will be considered to meet diverse needs.