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.
Apr 22, 2026
Full time
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.
Junior Data Engineer - Public Sector Contract: Initial 7 months (extension possible) Rate: £310 per day, Inside IR35 Location: Remote with travel to Waterloo (2-3 days per month) Security Clearance: SC-eligible (5 years UK residency required) I am working with a key consultancy delivering a major UK public sector programme and are looking for a Junior Data Engineer / Scientist to join a mixed delivery team building and operating secure, reliable data platforms that support critical public services.This role is designed for someone early in their data career who wants to develop strong engineering fundamentals in a real production environment. The role - a junior, generalist data engineering position. This is an engineering-led role, not a specialist or senior position. The team is ideally looking for a generalist in their first few years within data engineering or data science, who is building breadth across data platforms, pipelines and operations. You'll focus on: Designing, building and maintaining data pipelines Supporting the operation of data lakes and data warehouses Implementing and improving ETL / ELT processes Using Python and SQL to transform, validate and move data Working with analysts and developers to turn data requirements into technical solutions Monitoring data quality, documenting data models and lineage, and resolving issues Automating data workflows and operational tasks Participating in Agile delivery, sprint work and collaboration Supporting incidents and helping improve platform reliability over time Working within public sector data governance, security and privacy standards This role offers exposure to how data platforms are built, operated and supported in a regulated environment - forming the foundations of a long-term data engineering career. What this role is not To avoid misalignment, it's important to be clear about what this role is not focused on: Not a Data Analyst role Not a Power BI / dashboard developer role Not an insight, reporting or MI position Not a modelling, ML or research-focused role Not an LLM, AI or advanced data science role While you may work alongside analysts and data scientists, this role does not centre on: Building dashboards Producing insights or reports Statistical modelling Predictive or machine learning solutions The emphasis is on data engineering foundations and platform delivery. Ideal candidate profile This role is best suited to someone who: Is in their first few years of a data engineering or data science career Wants to build core engineering skills rather than specialise immediately Has hands-on experience with SQL and Python Understands basic data modelling and ETL concepts Is comfortable learning through delivery in a production environment Is interested in how data platforms work end-to-end, including operations and support Is keen to grow within public sector data platforms Who this role is unlikely to sui t This role is unlikely to be appropriate for candidates who: Are very senior data engineers or architects Have primarily worked in advanced ML, AI, or research-focused roles Are specialised Power BI, reporting or MI developers Are looking for a role centred on analysis, insights or modelling Are seeking leadership, ownership of platform strategy, or advanced optimisation work Applications that demonstrate significant seniority or deep specialisation rather than junior-to-mid generalist experience may not be progressed. Required skills and experience Your CV should clearly demonstrate: A degree in a technical discipline (Computer Science, Data Science, Mathematics or similar) Hands-on experience with SQL Experience using Python, Java or Bash Understanding of ETL processes and data modelling fundamentals Experience with version control (e.g. Git) Comfort working in Agile / DevOps environments Awareness of data security and privacy Eligibility for UK SC clearance Nice to have (but not essential) Exposure to AWS, Azure or GCP Familiarity with tools such as Airflow, dbt, Spark Awareness of CI/CD pipelines or containerisation Experience in public sector or regulated environments Important note for applicants This role is deliberately positioned as a junior, generalist data engineering role. Please ensure your CV clearly demonstrates hands-on data engineering fundamentals, rather than senior leadership, advanced AI/ML work, or analytics-only experience. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Apr 22, 2026
Contractor
Junior Data Engineer - Public Sector Contract: Initial 7 months (extension possible) Rate: £310 per day, Inside IR35 Location: Remote with travel to Waterloo (2-3 days per month) Security Clearance: SC-eligible (5 years UK residency required) I am working with a key consultancy delivering a major UK public sector programme and are looking for a Junior Data Engineer / Scientist to join a mixed delivery team building and operating secure, reliable data platforms that support critical public services.This role is designed for someone early in their data career who wants to develop strong engineering fundamentals in a real production environment. The role - a junior, generalist data engineering position. This is an engineering-led role, not a specialist or senior position. The team is ideally looking for a generalist in their first few years within data engineering or data science, who is building breadth across data platforms, pipelines and operations. You'll focus on: Designing, building and maintaining data pipelines Supporting the operation of data lakes and data warehouses Implementing and improving ETL / ELT processes Using Python and SQL to transform, validate and move data Working with analysts and developers to turn data requirements into technical solutions Monitoring data quality, documenting data models and lineage, and resolving issues Automating data workflows and operational tasks Participating in Agile delivery, sprint work and collaboration Supporting incidents and helping improve platform reliability over time Working within public sector data governance, security and privacy standards This role offers exposure to how data platforms are built, operated and supported in a regulated environment - forming the foundations of a long-term data engineering career. What this role is not To avoid misalignment, it's important to be clear about what this role is not focused on: Not a Data Analyst role Not a Power BI / dashboard developer role Not an insight, reporting or MI position Not a modelling, ML or research-focused role Not an LLM, AI or advanced data science role While you may work alongside analysts and data scientists, this role does not centre on: Building dashboards Producing insights or reports Statistical modelling Predictive or machine learning solutions The emphasis is on data engineering foundations and platform delivery. Ideal candidate profile This role is best suited to someone who: Is in their first few years of a data engineering or data science career Wants to build core engineering skills rather than specialise immediately Has hands-on experience with SQL and Python Understands basic data modelling and ETL concepts Is comfortable learning through delivery in a production environment Is interested in how data platforms work end-to-end, including operations and support Is keen to grow within public sector data platforms Who this role is unlikely to sui t This role is unlikely to be appropriate for candidates who: Are very senior data engineers or architects Have primarily worked in advanced ML, AI, or research-focused roles Are specialised Power BI, reporting or MI developers Are looking for a role centred on analysis, insights or modelling Are seeking leadership, ownership of platform strategy, or advanced optimisation work Applications that demonstrate significant seniority or deep specialisation rather than junior-to-mid generalist experience may not be progressed. Required skills and experience Your CV should clearly demonstrate: A degree in a technical discipline (Computer Science, Data Science, Mathematics or similar) Hands-on experience with SQL Experience using Python, Java or Bash Understanding of ETL processes and data modelling fundamentals Experience with version control (e.g. Git) Comfort working in Agile / DevOps environments Awareness of data security and privacy Eligibility for UK SC clearance Nice to have (but not essential) Exposure to AWS, Azure or GCP Familiarity with tools such as Airflow, dbt, Spark Awareness of CI/CD pipelines or containerisation Experience in public sector or regulated environments Important note for applicants This role is deliberately positioned as a junior, generalist data engineering role. Please ensure your CV clearly demonstrates hands-on data engineering fundamentals, rather than senior leadership, advanced AI/ML work, or analytics-only experience. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
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).
Apr 22, 2026
Full time
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).
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.
Apr 22, 2026
Full time
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.
The essentials Permanent, full-time (Monday to Friday, 9am to 5pm) £27,000 per year Hybrid working with 2 days a week in our Bath office The Geological Society Publishing House has an exciting opportunity within our publishing team to provide wide-ranging administrative support for editorial development team activities and project work. Utilise Editorial Manager and online content platform systems to support provision of guidelines for contributors and setting up of new titles and collections. Who are we? Founded in 1807, we are the oldest geological society in the world. Today, we are a world-leading communicator of Earth science through publishing, library and information services, cutting-edge scientific conferences, education activities and outreach to the general public. We also provide impartial scientific information and evidence to support policy-making and public debate about the challenges facing humanity. We have a membership (Fellowship) of c. 12,000, more than 2,000 of whom are based outside the UK. Approximately 3,000 are Chartered Geologists or Chartered Scientists - professionals who have demonstrated a high level of technical competence in their field and a commitment to professional ethics. We have been a major publisher within the community since 1811. An independent and international publisher, we are dedicated to providing a high-quality service to geoscientists globally and any surplus is invested to support our discipline. We publish a diverse range of books and journals on the Lyell Collection, with over 10,000 pages of new peer-reviewed geoscience literature being made available every year. Overall responsibilities / requirements Editorial development: Wide-ranging support for staff and activities, to include: Support for commissioning processes, to include: Research and data collection Profiling online sources such as conference schedules, departmental websites Identifying and collecting contact details for potential leads Use of bibliographic databases such as Dimensions (for data collection) Reporting (data collection and compilation): annual reports, reports for partners, read and publish usage, Top Reviewers, and others Support for meetings of Editorial Boards and Publication and Information Committee: coordinating meeting dates, compiling meeting papers and resources, recording meeting minutes Gathering feedback from external collaborators, including administration of editor surveys Proposal review process for new books and thematic collections: researching and inviting reviewers and collating comments from reviewers and editors Editorial projects and resources: Coordinating the process for contracting new book volumes, in collaboration with Books Commissioning Editor Setting up new book volumes and journal thematic collections via Editorial Manager system and Lyell Collection online platform Support the provision of editor training on use of EM, in collaboration with Publishing Coordinators and Journal Development Editor / Commissioning Editor Support maintenance of online guidelines for editorial contributors via Publishing Support Hub, in collaboration with Pub Hub Advisory Group Ad hoc support for copyright permissions process, including liaising with authors towards clearing figure and personal communications, as required Market research and data collection for editorial projects. Examples may include AI for publishing, research integrity, tenders and proposals, new partnerships (books) General: Support for Editor and Authors newsletters coordinating schedule and content, liaising with editorial and marketing colleagues Any other tasks that can be reasonably requested What we re looking for Educated to A-level or degree level Good IT proficiency (particularly spreadsheets) and full familiarity with the normal range of office software Excellent interpersonal and communication skills Excellent administrative, organisational and time management skills Some general knowledge of, and interest in, the publishing process would be helpful The duties and responsibilities highlighted in this Job Description are indicative and may vary over time. As required, post holders are expected to undertake other duties and responsibilities relevant to the nature, level and scope of the post. A bit about us The Geological Society is a registered charity and employs just under 60 staff at its offices in London and Bath. The Society Publishing House is based in Bath, from where we provide a full publishing service to an international geoscience community across a portfolio of books, journals, and associated products. As an employee conscious company, we invest in our staff by emphasising training, growth and progression in every role. We firmly believe in creating a positive workplace wellbeing culture and offer a range of benefits to our staff including: 25 days basic holiday entitlement, increasing up to 30 days with continued service (pro-rated for part-time staff) Option to purchase up to 2 days extra holiday days per year Contributary pension scheme with 10% employer contribution Access to 24/7 online GP with mental health & wellbeing counselling Free premium Headspace account for you and 2 members of friends/family Discounts and recognitions scheme Cycle to Work scheme Season Ticket Loan scheme Life Assurance and Income Protection schemes Free access to Royal Academy exhibitions Free Geological Society Fellow membership for qualified staff The Society is committed to fostering an inclusive culture that promotes equality, values diversity and maintains a harmonious inclusive environment in which the rights and dignity of all its members visitors and staff are respected. We are an equal opportunities employer and the post-holder will be expected to adhere to and support the Society s commitment to diversity, equality and inclusion. How to apply To apply for this position, please click the 'Apply' button to be re-directed to our website. Please ensure that your cover letter highlights your experience in no more than 500 words. As part of our inclusive recruitment initiative, we have introduced the concept of anonymous recruiting in order to evaluate applicants solely on their skills and experience. With this in mind, we encourage you to: Anonymise your application by stating only your initials in your CV (including your file name) and cover letter State your initials only and job title you are applying for in the subject line when sending your application Ensure that you have included your contact email and number, as well as dates when you will not be available or might have difficulty with the indicative timetable Please let us know if you will require any special provisions to be made should you be called for an interview. We regret that unsuccessful candidates will not be contacted. All applicants must have the right to work in the UK.
Apr 22, 2026
Full time
The essentials Permanent, full-time (Monday to Friday, 9am to 5pm) £27,000 per year Hybrid working with 2 days a week in our Bath office The Geological Society Publishing House has an exciting opportunity within our publishing team to provide wide-ranging administrative support for editorial development team activities and project work. Utilise Editorial Manager and online content platform systems to support provision of guidelines for contributors and setting up of new titles and collections. Who are we? Founded in 1807, we are the oldest geological society in the world. Today, we are a world-leading communicator of Earth science through publishing, library and information services, cutting-edge scientific conferences, education activities and outreach to the general public. We also provide impartial scientific information and evidence to support policy-making and public debate about the challenges facing humanity. We have a membership (Fellowship) of c. 12,000, more than 2,000 of whom are based outside the UK. Approximately 3,000 are Chartered Geologists or Chartered Scientists - professionals who have demonstrated a high level of technical competence in their field and a commitment to professional ethics. We have been a major publisher within the community since 1811. An independent and international publisher, we are dedicated to providing a high-quality service to geoscientists globally and any surplus is invested to support our discipline. We publish a diverse range of books and journals on the Lyell Collection, with over 10,000 pages of new peer-reviewed geoscience literature being made available every year. Overall responsibilities / requirements Editorial development: Wide-ranging support for staff and activities, to include: Support for commissioning processes, to include: Research and data collection Profiling online sources such as conference schedules, departmental websites Identifying and collecting contact details for potential leads Use of bibliographic databases such as Dimensions (for data collection) Reporting (data collection and compilation): annual reports, reports for partners, read and publish usage, Top Reviewers, and others Support for meetings of Editorial Boards and Publication and Information Committee: coordinating meeting dates, compiling meeting papers and resources, recording meeting minutes Gathering feedback from external collaborators, including administration of editor surveys Proposal review process for new books and thematic collections: researching and inviting reviewers and collating comments from reviewers and editors Editorial projects and resources: Coordinating the process for contracting new book volumes, in collaboration with Books Commissioning Editor Setting up new book volumes and journal thematic collections via Editorial Manager system and Lyell Collection online platform Support the provision of editor training on use of EM, in collaboration with Publishing Coordinators and Journal Development Editor / Commissioning Editor Support maintenance of online guidelines for editorial contributors via Publishing Support Hub, in collaboration with Pub Hub Advisory Group Ad hoc support for copyright permissions process, including liaising with authors towards clearing figure and personal communications, as required Market research and data collection for editorial projects. Examples may include AI for publishing, research integrity, tenders and proposals, new partnerships (books) General: Support for Editor and Authors newsletters coordinating schedule and content, liaising with editorial and marketing colleagues Any other tasks that can be reasonably requested What we re looking for Educated to A-level or degree level Good IT proficiency (particularly spreadsheets) and full familiarity with the normal range of office software Excellent interpersonal and communication skills Excellent administrative, organisational and time management skills Some general knowledge of, and interest in, the publishing process would be helpful The duties and responsibilities highlighted in this Job Description are indicative and may vary over time. As required, post holders are expected to undertake other duties and responsibilities relevant to the nature, level and scope of the post. A bit about us The Geological Society is a registered charity and employs just under 60 staff at its offices in London and Bath. The Society Publishing House is based in Bath, from where we provide a full publishing service to an international geoscience community across a portfolio of books, journals, and associated products. As an employee conscious company, we invest in our staff by emphasising training, growth and progression in every role. We firmly believe in creating a positive workplace wellbeing culture and offer a range of benefits to our staff including: 25 days basic holiday entitlement, increasing up to 30 days with continued service (pro-rated for part-time staff) Option to purchase up to 2 days extra holiday days per year Contributary pension scheme with 10% employer contribution Access to 24/7 online GP with mental health & wellbeing counselling Free premium Headspace account for you and 2 members of friends/family Discounts and recognitions scheme Cycle to Work scheme Season Ticket Loan scheme Life Assurance and Income Protection schemes Free access to Royal Academy exhibitions Free Geological Society Fellow membership for qualified staff The Society is committed to fostering an inclusive culture that promotes equality, values diversity and maintains a harmonious inclusive environment in which the rights and dignity of all its members visitors and staff are respected. We are an equal opportunities employer and the post-holder will be expected to adhere to and support the Society s commitment to diversity, equality and inclusion. How to apply To apply for this position, please click the 'Apply' button to be re-directed to our website. Please ensure that your cover letter highlights your experience in no more than 500 words. As part of our inclusive recruitment initiative, we have introduced the concept of anonymous recruiting in order to evaluate applicants solely on their skills and experience. With this in mind, we encourage you to: Anonymise your application by stating only your initials in your CV (including your file name) and cover letter State your initials only and job title you are applying for in the subject line when sending your application Ensure that you have included your contact email and number, as well as dates when you will not be available or might have difficulty with the indicative timetable Please let us know if you will require any special provisions to be made should you be called for an interview. We regret that unsuccessful candidates will not be contacted. All applicants must have the right to work in the UK.
Trade Effluent Regulation Officer Circa £44,000 dependent on skills and experience Fixed Term Contract - 12 months, 37 hours per week Cotton Valley - Milton Keynes - hybrid role, with a 50/50 split Dive into a world of opportunity, and join our team! In this exciting role, you will effectively regulate 3rd party non-domestic discharges to ensure the business provides environmental and social pro click apply for full job details
Apr 22, 2026
Full time
Trade Effluent Regulation Officer Circa £44,000 dependent on skills and experience Fixed Term Contract - 12 months, 37 hours per week Cotton Valley - Milton Keynes - hybrid role, with a 50/50 split Dive into a world of opportunity, and join our team! In this exciting role, you will effectively regulate 3rd party non-domestic discharges to ensure the business provides environmental and social pro click apply for full job details
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).
Apr 22, 2026
Full time
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).
Science Teacher Birmingam Location: Birmingham Pay: £200 £250 per day / £1000 £1250 per week Start Date: Immediate We are looking for a dedicated and passionate Science Teacher to join a supportive secondary school in the Birmingham area. This is a fantastic opportunity for an experienced teacher or an ECT who is eager to inspire the next generation of scientists across KS3 & KS4. What s on offer: Competitive daily rate: £200 £250 (£1000 £1250 per week) Immediate start available Supportive school environment with excellent resources Opportunity to teach engaging and inspiring science lessons The ideal candidate will: Hold QTS (Qualified Teacher Status) or equivalent Be able to teach Science across KS3 & KS4 (specialism in Biology, Chemistry, or Physics welcomed) Demonstrate strong subject knowledge and a passion for science education Have excellent classroom management and communication skills If you re a committed Science Teacher ready to make an impact and available to start immediately, we d love to hear from you. Apply now to secure your new role as a Science Teacher in Birmingham. Contact (phone number removed) and ask for Indie Sahota or email (url removed) We will endeavour to contact you within 24 hours to discuss suitability to register with PK Education. PK Education is a specialist education agency, recruiting for long term / short term and day to day Birmingham teaching jobs in the West Midlands. We are proudly recognised as one of the leading teaching agencies and we specialise in Secondary School Teaching jobs / Newly Qualified Teacher jobs and Cover Supervisor jobs to name just a few.
Apr 22, 2026
Contractor
Science Teacher Birmingam Location: Birmingham Pay: £200 £250 per day / £1000 £1250 per week Start Date: Immediate We are looking for a dedicated and passionate Science Teacher to join a supportive secondary school in the Birmingham area. This is a fantastic opportunity for an experienced teacher or an ECT who is eager to inspire the next generation of scientists across KS3 & KS4. What s on offer: Competitive daily rate: £200 £250 (£1000 £1250 per week) Immediate start available Supportive school environment with excellent resources Opportunity to teach engaging and inspiring science lessons The ideal candidate will: Hold QTS (Qualified Teacher Status) or equivalent Be able to teach Science across KS3 & KS4 (specialism in Biology, Chemistry, or Physics welcomed) Demonstrate strong subject knowledge and a passion for science education Have excellent classroom management and communication skills If you re a committed Science Teacher ready to make an impact and available to start immediately, we d love to hear from you. Apply now to secure your new role as a Science Teacher in Birmingham. Contact (phone number removed) and ask for Indie Sahota or email (url removed) We will endeavour to contact you within 24 hours to discuss suitability to register with PK Education. PK Education is a specialist education agency, recruiting for long term / short term and day to day Birmingham teaching jobs in the West Midlands. We are proudly recognised as one of the leading teaching agencies and we specialise in Secondary School Teaching jobs / Newly Qualified Teacher jobs and Cover Supervisor jobs to name just a few.
Structural Investigation Data Analyst We are looking for a Structural Investigation Data Analyst to join our team at TRACE who has excellent technical report writing skills to deliver engineering-led insights for structural investigations and infrastructure projects. The role will involve interpreting GPR and NDT datasets. Ideally you will have GPR and NDT experience, if not we will provide training to get you up to speed. This is a fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. If you've also worked in the following roles, we'd also like to hear from you: Reporting Analyst, Engineering Data Analyst, Technical Analyst, NDT Data Analyst, Geophysicists, Civil Engineer, Geophysical Surveyor, Utility Surveyor, NDT (Non-Destructive Testing) Engineer / Technician, GPR (Ground Penetration Radar) Engineer, Geoscientist SALARY: £30,000 to £40,000 per annum + Benefits LOCATION: Fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. JOB TYPE: Full-Time, Permanent JOB OVERVIEW We have a fantastic new job opportunity for a Structural Investigation Data Analyst to join a specialist consultancy delivering advanced structural analysis and non-intrusive testing insights. As a Structural Investigation Data Analyst you will transform complex datasets from GPR and ultrasonic testing into clear, structured engineering outputs, supporting infrastructure and civil engineering projects. Working remotely, the Structural Investigation Data Analyst will collaborate with consultants and site teams to integrate multi-method data, ensuring accurate interpretation and high-quality reporting. This is a technically focused role offering the opportunity to work on complex investigations and contribute directly to engineering decision-making. ABOUT US TRACE is a specialist consultancy focused on advanced structural investigation and Non-Intrusive Analysis (NIA). We do not operate as a traditional survey company. Our focus is on delivering engineering insight, not just data. Our approach integrates: Ground Penetrating Radar (GPR) Ultrasonic testing and tomography Magnetic corrosion mapping (iCAMM) Targeted intrusive verification where required We work across a wide range of structures, including: Bridges and highways infrastructure Warehouses and industrial assets Tunnels and complex civil structures Reinforced concrete and masonry buildings Our deliverables are digital-first and interpretation-led, including: High-quality CAD outputs Mapped defects and structural features Reports designed to support engineering decisions, not just record data We are a growing, technically driven company, building a reputation for delivering work that goes beyond standard industry outputs. DUTIES Your duties as the Structural Investigation Data Analyst include: GPR Data Processing: Interpret and analyse Ground Penetrating Radar data for concrete structures NDT Analysis: Evaluate datasets from ultrasonic testing methods including pulse echo and tomography Technical Reporting: Produce structured reports, data summaries, and interpretation notes Data Integration: Combine multiple datasets into coherent engineering-led outputs Visual Outputs: Generate annotated scan outputs such as B-scans, amplitude maps, and depth slices CAD Support: Assist in producing CAD-based deliverables where required Collaboration: Work closely with consultants to align outputs with site conditions and objectives Data Interpretation: Translate complex or imperfect datasets into defensible conclusions Quality Assurance: Maintain high levels of accuracy, consistency, and attention to detail CANDIDATE REQUIREMENTS ESSENTIAL Proven experience of technical report writing and structured documentation Strong ability to interpret complex datasets and produce clear outputs Excellent attention to detail and data handling accuracy Comfortable working remotely within a collaborative, digital team environment DESIRABLE Previous experience in GPR data processing and interpretation within structural or concrete environments Experience with ultrasonic testing methods such as UPV, pulse echo, or tomography Experience supporting or producing CAD outputs Exposure to multi-method non-destructive testing (NDT) investigations Understanding of structural behaviour and common concrete defects BENEFITS £30,000 - £40,000 per annum depending on experience 25 days annual leave, plus bank holidays. Fully remote working model Opportunity to work on complex structural investigations A technically focused role with clear impact on final deliverables Opportunity to grow within a specialist, expanding consultancy NO AGENCIES PLEASE HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. JOB REF: AWDO-P14541 This job is being advertised by AWD online on behalf of TRACE Structural Investigations
Apr 22, 2026
Full time
Structural Investigation Data Analyst We are looking for a Structural Investigation Data Analyst to join our team at TRACE who has excellent technical report writing skills to deliver engineering-led insights for structural investigations and infrastructure projects. The role will involve interpreting GPR and NDT datasets. Ideally you will have GPR and NDT experience, if not we will provide training to get you up to speed. This is a fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. If you've also worked in the following roles, we'd also like to hear from you: Reporting Analyst, Engineering Data Analyst, Technical Analyst, NDT Data Analyst, Geophysicists, Civil Engineer, Geophysical Surveyor, Utility Surveyor, NDT (Non-Destructive Testing) Engineer / Technician, GPR (Ground Penetration Radar) Engineer, Geoscientist SALARY: £30,000 to £40,000 per annum + Benefits LOCATION: Fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. JOB TYPE: Full-Time, Permanent JOB OVERVIEW We have a fantastic new job opportunity for a Structural Investigation Data Analyst to join a specialist consultancy delivering advanced structural analysis and non-intrusive testing insights. As a Structural Investigation Data Analyst you will transform complex datasets from GPR and ultrasonic testing into clear, structured engineering outputs, supporting infrastructure and civil engineering projects. Working remotely, the Structural Investigation Data Analyst will collaborate with consultants and site teams to integrate multi-method data, ensuring accurate interpretation and high-quality reporting. This is a technically focused role offering the opportunity to work on complex investigations and contribute directly to engineering decision-making. ABOUT US TRACE is a specialist consultancy focused on advanced structural investigation and Non-Intrusive Analysis (NIA). We do not operate as a traditional survey company. Our focus is on delivering engineering insight, not just data. Our approach integrates: Ground Penetrating Radar (GPR) Ultrasonic testing and tomography Magnetic corrosion mapping (iCAMM) Targeted intrusive verification where required We work across a wide range of structures, including: Bridges and highways infrastructure Warehouses and industrial assets Tunnels and complex civil structures Reinforced concrete and masonry buildings Our deliverables are digital-first and interpretation-led, including: High-quality CAD outputs Mapped defects and structural features Reports designed to support engineering decisions, not just record data We are a growing, technically driven company, building a reputation for delivering work that goes beyond standard industry outputs. DUTIES Your duties as the Structural Investigation Data Analyst include: GPR Data Processing: Interpret and analyse Ground Penetrating Radar data for concrete structures NDT Analysis: Evaluate datasets from ultrasonic testing methods including pulse echo and tomography Technical Reporting: Produce structured reports, data summaries, and interpretation notes Data Integration: Combine multiple datasets into coherent engineering-led outputs Visual Outputs: Generate annotated scan outputs such as B-scans, amplitude maps, and depth slices CAD Support: Assist in producing CAD-based deliverables where required Collaboration: Work closely with consultants to align outputs with site conditions and objectives Data Interpretation: Translate complex or imperfect datasets into defensible conclusions Quality Assurance: Maintain high levels of accuracy, consistency, and attention to detail CANDIDATE REQUIREMENTS ESSENTIAL Proven experience of technical report writing and structured documentation Strong ability to interpret complex datasets and produce clear outputs Excellent attention to detail and data handling accuracy Comfortable working remotely within a collaborative, digital team environment DESIRABLE Previous experience in GPR data processing and interpretation within structural or concrete environments Experience with ultrasonic testing methods such as UPV, pulse echo, or tomography Experience supporting or producing CAD outputs Exposure to multi-method non-destructive testing (NDT) investigations Understanding of structural behaviour and common concrete defects BENEFITS £30,000 - £40,000 per annum depending on experience 25 days annual leave, plus bank holidays. Fully remote working model Opportunity to work on complex structural investigations A technically focused role with clear impact on final deliverables Opportunity to grow within a specialist, expanding consultancy NO AGENCIES PLEASE HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. JOB REF: AWDO-P14541 This job is being advertised by AWD online on behalf of TRACE Structural Investigations
Job Title: Application Scientist Location:Leighton Buzzard, Bedfordshire Company:Meritics Ltd About the Role Meritics Ltd is seeking a highly motivated and technically capable Application Scientist to join our small team. This role is central to supporting both pre- and post-sales activities, delivering high-quality laboratory analysis, and ensuring the successful implementation and ongoing support of click apply for full job details
Apr 22, 2026
Full time
Job Title: Application Scientist Location:Leighton Buzzard, Bedfordshire Company:Meritics Ltd About the Role Meritics Ltd is seeking a highly motivated and technically capable Application Scientist to join our small team. This role is central to supporting both pre- and post-sales activities, delivering high-quality laboratory analysis, and ensuring the successful implementation and ongoing support of click apply for full job details
ADM unlocks the power of nature to enrich the quality of life. We re a premier global human and animal nutrition company, delivering solutions today with an eye to the future. We re blazing new trails in health and well-being as our scientists develop groundbreaking products to support healthier living. We re a cutting-edge innovator leading the way to a new future of plant-based consumer and industrial solutions to replace petroleum-based products. We re an unmatched agricultural supply chain manager and processor, providing food security by connecting local needs with global capabilities. And we re a leader in sustainability, scaling across entire value chains to help decarbonize our industry and safeguard our planet. From the seed of the idea to the outcome of the solution, we give customers an edge in solving the nutritional and sustainability challenges of today and tomorrow. Learn more at About ADM Protexin Ltd ADM Protexin LTD manufactures innovative, research based live bacteria products of the highest quality for the veterinary, human, agriculture and equine healthcare markets. With head office, manufacturing and distribution facilities based in Somerset, ADM Protexin distributes to over 90 countries worldwide. Learn more at The Role In this role you will be responsible for performing quality control activities to ensure that incoming materials, purified water, in-process materials, and finished products comply with approved specifications, pharmaceutical GMP, and food safety requirements. Your Responsibilities Goods In and Material Control Perform quality checks on raw materials, packaging components, and consumables. Verify incoming materials against approved specifications, supplier documentation, and Certificates of Analysis. Ensure correct labelling, quarantine status, traceability, and storage of materials in accordance with GMP and food safety requirements. Maintain raw material specifications as required. Sampling and Environmental Monitoring Carry out sampling of raw materials, purified water, in-process materials, and finished products in accordance with approved SOPs. Process and prepare samples for analysis while maintaining sample integrity and preventing contamination. Conduct environmental monitoring activities (e.g. air, surface, personnel, water) in manufacturing and sampling areas. Assist in the administration of sample processing. Quality Control Checks Perform routine QC checks and inspections in accordance with approved test methods and specifications. Review results for accuracy, completeness, and compliance. Identify, document, and escalate deviations, non-conformances, and OOS results. Retained Samples Manage retained samples of materials and finished products in line with GMP and food safety requirements. Ensure retained samples are correctly labelled, stored, and logged. Maintain retained sample inventories and records. Certificates of Analysis (CoA) Prepare Certificates of Analysis for finished products. Ensure CoAs accurately reflect approved specifications and test results. Release CoAs in accordance with GMP and food safety procedures. Compliance and Continuous Improvement Support internal audits, inspections, and regulatory visits. Contribute to continuous improvement of QC processes, procedures, and food safety controls. Your Profile Bachelor's degree or equivalent in a relevant scientific discipline, or other higher-level education in a relevant subject, HNC, HND, FdSc and DipHE. Minimum 2 years experience in quality assurance or quality control in a pharmaceutical or food manufacturing environment. Working knowledge of GMP and/or food safety standards, and quality systems. Your Future Perspective Challenging tasks, short decision-making processes and a high level of personal responsibility in a modern work environment with flexible work time models Room for innovative thinking and growth with the possibility to manage your own career path. A company culture which promotes continuous learning and diversity. To assist with this all colleagues are able to join our Women s and Multicultural Employee Resource Groups, and the ADM Pride Employee Network and the Young Professionals Network. As well as the company wide mentorship programme as mentor or mentee. Excellent career opportunities in a world leading nutrition company. An attractive remuneration including a variety of social benefits like subsidized health & fitness offers. ADM is a company where managers and colleagues are encouraged to discuss and enable the flexibility that is needed to meet the demands of work and life Additional benefits and support for maternity and paternity leave ADM are an advocate of having a workforce who are aware of their mental health. In addition to our network of Mental Health First Aiders, all new starters to the business will be enrolled in Mental Health Aware training within three months of joining the business. Learn more about ADM at . We are proud to be an equal opportunity workplace and value diversity at our company to encourage a diverse range of perspectives, skills, experience and knowledge within our business. To assist with this the Company has established a UK Diversity forum to support participation of underrepresented groups in the workplace. If you feel this job is for you, unlock your potential and apply online informing us about your earliest possible entry date and salary expectation. By applying for this position, you agree to ADM s privacy notice .
Apr 22, 2026
Contractor
ADM unlocks the power of nature to enrich the quality of life. We re a premier global human and animal nutrition company, delivering solutions today with an eye to the future. We re blazing new trails in health and well-being as our scientists develop groundbreaking products to support healthier living. We re a cutting-edge innovator leading the way to a new future of plant-based consumer and industrial solutions to replace petroleum-based products. We re an unmatched agricultural supply chain manager and processor, providing food security by connecting local needs with global capabilities. And we re a leader in sustainability, scaling across entire value chains to help decarbonize our industry and safeguard our planet. From the seed of the idea to the outcome of the solution, we give customers an edge in solving the nutritional and sustainability challenges of today and tomorrow. Learn more at About ADM Protexin Ltd ADM Protexin LTD manufactures innovative, research based live bacteria products of the highest quality for the veterinary, human, agriculture and equine healthcare markets. With head office, manufacturing and distribution facilities based in Somerset, ADM Protexin distributes to over 90 countries worldwide. Learn more at The Role In this role you will be responsible for performing quality control activities to ensure that incoming materials, purified water, in-process materials, and finished products comply with approved specifications, pharmaceutical GMP, and food safety requirements. Your Responsibilities Goods In and Material Control Perform quality checks on raw materials, packaging components, and consumables. Verify incoming materials against approved specifications, supplier documentation, and Certificates of Analysis. Ensure correct labelling, quarantine status, traceability, and storage of materials in accordance with GMP and food safety requirements. Maintain raw material specifications as required. Sampling and Environmental Monitoring Carry out sampling of raw materials, purified water, in-process materials, and finished products in accordance with approved SOPs. Process and prepare samples for analysis while maintaining sample integrity and preventing contamination. Conduct environmental monitoring activities (e.g. air, surface, personnel, water) in manufacturing and sampling areas. Assist in the administration of sample processing. Quality Control Checks Perform routine QC checks and inspections in accordance with approved test methods and specifications. Review results for accuracy, completeness, and compliance. Identify, document, and escalate deviations, non-conformances, and OOS results. Retained Samples Manage retained samples of materials and finished products in line with GMP and food safety requirements. Ensure retained samples are correctly labelled, stored, and logged. Maintain retained sample inventories and records. Certificates of Analysis (CoA) Prepare Certificates of Analysis for finished products. Ensure CoAs accurately reflect approved specifications and test results. Release CoAs in accordance with GMP and food safety procedures. Compliance and Continuous Improvement Support internal audits, inspections, and regulatory visits. Contribute to continuous improvement of QC processes, procedures, and food safety controls. Your Profile Bachelor's degree or equivalent in a relevant scientific discipline, or other higher-level education in a relevant subject, HNC, HND, FdSc and DipHE. Minimum 2 years experience in quality assurance or quality control in a pharmaceutical or food manufacturing environment. Working knowledge of GMP and/or food safety standards, and quality systems. Your Future Perspective Challenging tasks, short decision-making processes and a high level of personal responsibility in a modern work environment with flexible work time models Room for innovative thinking and growth with the possibility to manage your own career path. A company culture which promotes continuous learning and diversity. To assist with this all colleagues are able to join our Women s and Multicultural Employee Resource Groups, and the ADM Pride Employee Network and the Young Professionals Network. As well as the company wide mentorship programme as mentor or mentee. Excellent career opportunities in a world leading nutrition company. An attractive remuneration including a variety of social benefits like subsidized health & fitness offers. ADM is a company where managers and colleagues are encouraged to discuss and enable the flexibility that is needed to meet the demands of work and life Additional benefits and support for maternity and paternity leave ADM are an advocate of having a workforce who are aware of their mental health. In addition to our network of Mental Health First Aiders, all new starters to the business will be enrolled in Mental Health Aware training within three months of joining the business. Learn more about ADM at . We are proud to be an equal opportunity workplace and value diversity at our company to encourage a diverse range of perspectives, skills, experience and knowledge within our business. To assist with this the Company has established a UK Diversity forum to support participation of underrepresented groups in the workplace. If you feel this job is for you, unlock your potential and apply online informing us about your earliest possible entry date and salary expectation. By applying for this position, you agree to ADM s privacy notice .
Senior Data Scientist My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on role combining technical ownership and production-grade model deployment click apply for full job details
Apr 22, 2026
Full time
Senior Data Scientist My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on role combining technical ownership and production-grade model deployment click apply for full job details
Scientist, Biochemical Assay Development, COR7501 My client, a pioneering start-up organisation within the AgriTech industry are in urgent need of a Scientist, with a background in biochemical assay development, to join their team! Joining the company in their Oxford office, the Scientist will be responsible for designing and developing biochemical and Biophysical assays click apply for full job details
Apr 22, 2026
Full time
Scientist, Biochemical Assay Development, COR7501 My client, a pioneering start-up organisation within the AgriTech industry are in urgent need of a Scientist, with a background in biochemical assay development, to join their team! Joining the company in their Oxford office, the Scientist will be responsible for designing and developing biochemical and Biophysical assays click apply for full job details
In the role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client's Data Analytics platform. You will: Work with both the business teams data scientists and engineers to design, build, optimis click apply for full job details
Apr 21, 2026
Contractor
In the role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are responsible for architecting, and operating the core of the client's Data Analytics platform. You will: Work with both the business teams data scientists and engineers to design, build, optimis click apply for full job details
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Science and Technology Facilities Council
Warrington, Cheshire
Evaluation Programme Manager Salary: £46,743 per annum Hours: Full time or Part time (minimum 22.2 hours per week) (We understand the importance of work-life balance, and are happy to discuss the possibility of flexible working with applicants) Contract Type: Fixed Term (12 months) Location: Rutherford Appleton Laboratory Harwell, Oxfordshire or Polaris House, Wiltshire or Daresbury Laboratory, Warrington or the UK Astronomy Technology Centre, Edinburgh Together, our scientists, technologists, engineers, and business support teams explore the unknown and turn what they find into work that changes the world around us. Whether it's sending probes into space or finding new ways to treat cancer, everyone here plays a vital role in making a positive difference to society. Come and discover how much you can achieve when you're surrounded by world-leading experts, encouraged to constantly learn and empowered to explore your curiosity. About STFC As part of UK Research and Innovation (UKRI), the Science and Technology Facilities Council (STFC) develops and exploits frontier research in particle physics, astronomy, nuclear physics and space science through activities at UK universities and its own national laboratories, working internationally through a range of long-term collaborative research projects. STFC also builds and operates many of the UK's largest multi-disciplinary research facilities at our research and innovation campuses. Our Strategy, Planning and Communications (SPC) Directorate brings together the essential functions that are needed to help shape, communicate and monitor progress against STFC's strategic plans. Our role is to enable the organisation to determine its strategic direction and translate this into a coherent set of plans, communicating these across the organisation. About the role We are looking for two Evaluation Programme Managers who will be involved in getting hands-on with some of our most exciting and high-profile projects by running key evaluation and analysis projects in STFC's evaluation programme. This will include designing and delivering robust evaluations to demonstrate the impact of STFC's activities, ensuring evaluations are delivered in accordance with best practice in evaluation methodology, and that findings are useful to key stakeholders in UKRI and across Government. The post holder/s will lead projects across STFC's remit, mainly focusing on large scale programmes or facilities such as the National Satellite Test Facility (NSTF) and the European Council for Nuclear Research (CERN). The post holder/s will work closely with senior management and with staff at various levels in STFC, across wider UKRI and externally. External stakeholders include Department for Science, Innovation and Technology (DSIT), other Government Departments, universities and industry. About you For these posts, we are looking for someone with the ability to think strategically and be committed to continuous organisational improvement. Someone who can influence and make changes when appropriate, and the capability to make effective decisions independently. Previous analytical experience is required to successfully undertake these roles. We are also looking for core and transferable proficiencies and abilities which will enable candidates to develop into the roles, and supported by training, adapt and grow your skills as needs change. We are looking for people who can lead our projects and work effectively with other evaluation experts, including appointed evaluation contractors, to design and implement suitable and robust evaluations to deliver reliable evidence that can advise policy. This will involve work to develop monitoring frameworks, theories of change, logic models, surveys, interviews and methodologies to assess the impact of our work. Person Specification The below criteria will be assessed at both shortlisting (S) and interview (I): A relevant degree or equivalent work experience in a STEM subject or a subject such as social sciences, economics, mathematics, or other numerate subjects. (S) Experience in delivering robust quantitative and qualitative analysis, ideally in the context of evaluating funding or policy interventions, including steps taken to ensure it was robust. (S&I) Proficient at developing, influencing and executing strategic plans with sound judgement; able to set priorities, allocate resources and drive initiatives aligned with organisational goals. (S&I) Demonstrate the ability to make well informed decisions, seek opportunities, and articulate a vision to others; provide direction and motivation and lead in the delivery of complex activities and/or team responsibilities including with external stakeholders. (S&I) Excellent written and oral communication skills with keen attention to detail; ability to develop and deliver well-structured, clearly articulated professional documents and presentations for a range of internal and external audiences. (S&I) Ability to plan and prioritise work and that of others to implement frameworks or new procedures to deliver successful outcomes; respond flexibly to changing requirements as required. (S&I) Capable of working collaboratively to identify challenges, develop creative solutions and implement changes within a team setting; able to lead the successful delivery of activities internally and externally. (S&I) Additional Information To apply for this position, please submit a CV and a covering letter in which you describe your motivations for applying and how you meet the criteria in the person specification. You are advised to write no more than 3 pages, and applications without a covering letter will be excluded from shortlisting. CVs should be no more than 3 pages long. We offer flexible working arrangements and expect this role to operate in a hybrid working model with time spent working at home and in the office. The post is available as full time, part-time or job-share. Applicants should be open as to their desired working pattern when they apply. Please contact , FAO the recruiting manager if you have any questions, including working patterns and travel requirements. Join us and discover what's possible. Please note, if you will require sponsorship to work in the UK. For more information, please visit or contact .
Apr 21, 2026
Contractor
Evaluation Programme Manager Salary: £46,743 per annum Hours: Full time or Part time (minimum 22.2 hours per week) (We understand the importance of work-life balance, and are happy to discuss the possibility of flexible working with applicants) Contract Type: Fixed Term (12 months) Location: Rutherford Appleton Laboratory Harwell, Oxfordshire or Polaris House, Wiltshire or Daresbury Laboratory, Warrington or the UK Astronomy Technology Centre, Edinburgh Together, our scientists, technologists, engineers, and business support teams explore the unknown and turn what they find into work that changes the world around us. Whether it's sending probes into space or finding new ways to treat cancer, everyone here plays a vital role in making a positive difference to society. Come and discover how much you can achieve when you're surrounded by world-leading experts, encouraged to constantly learn and empowered to explore your curiosity. About STFC As part of UK Research and Innovation (UKRI), the Science and Technology Facilities Council (STFC) develops and exploits frontier research in particle physics, astronomy, nuclear physics and space science through activities at UK universities and its own national laboratories, working internationally through a range of long-term collaborative research projects. STFC also builds and operates many of the UK's largest multi-disciplinary research facilities at our research and innovation campuses. Our Strategy, Planning and Communications (SPC) Directorate brings together the essential functions that are needed to help shape, communicate and monitor progress against STFC's strategic plans. Our role is to enable the organisation to determine its strategic direction and translate this into a coherent set of plans, communicating these across the organisation. About the role We are looking for two Evaluation Programme Managers who will be involved in getting hands-on with some of our most exciting and high-profile projects by running key evaluation and analysis projects in STFC's evaluation programme. This will include designing and delivering robust evaluations to demonstrate the impact of STFC's activities, ensuring evaluations are delivered in accordance with best practice in evaluation methodology, and that findings are useful to key stakeholders in UKRI and across Government. The post holder/s will lead projects across STFC's remit, mainly focusing on large scale programmes or facilities such as the National Satellite Test Facility (NSTF) and the European Council for Nuclear Research (CERN). The post holder/s will work closely with senior management and with staff at various levels in STFC, across wider UKRI and externally. External stakeholders include Department for Science, Innovation and Technology (DSIT), other Government Departments, universities and industry. About you For these posts, we are looking for someone with the ability to think strategically and be committed to continuous organisational improvement. Someone who can influence and make changes when appropriate, and the capability to make effective decisions independently. Previous analytical experience is required to successfully undertake these roles. We are also looking for core and transferable proficiencies and abilities which will enable candidates to develop into the roles, and supported by training, adapt and grow your skills as needs change. We are looking for people who can lead our projects and work effectively with other evaluation experts, including appointed evaluation contractors, to design and implement suitable and robust evaluations to deliver reliable evidence that can advise policy. This will involve work to develop monitoring frameworks, theories of change, logic models, surveys, interviews and methodologies to assess the impact of our work. Person Specification The below criteria will be assessed at both shortlisting (S) and interview (I): A relevant degree or equivalent work experience in a STEM subject or a subject such as social sciences, economics, mathematics, or other numerate subjects. (S) Experience in delivering robust quantitative and qualitative analysis, ideally in the context of evaluating funding or policy interventions, including steps taken to ensure it was robust. (S&I) Proficient at developing, influencing and executing strategic plans with sound judgement; able to set priorities, allocate resources and drive initiatives aligned with organisational goals. (S&I) Demonstrate the ability to make well informed decisions, seek opportunities, and articulate a vision to others; provide direction and motivation and lead in the delivery of complex activities and/or team responsibilities including with external stakeholders. (S&I) Excellent written and oral communication skills with keen attention to detail; ability to develop and deliver well-structured, clearly articulated professional documents and presentations for a range of internal and external audiences. (S&I) Ability to plan and prioritise work and that of others to implement frameworks or new procedures to deliver successful outcomes; respond flexibly to changing requirements as required. (S&I) Capable of working collaboratively to identify challenges, develop creative solutions and implement changes within a team setting; able to lead the successful delivery of activities internally and externally. (S&I) Additional Information To apply for this position, please submit a CV and a covering letter in which you describe your motivations for applying and how you meet the criteria in the person specification. You are advised to write no more than 3 pages, and applications without a covering letter will be excluded from shortlisting. CVs should be no more than 3 pages long. We offer flexible working arrangements and expect this role to operate in a hybrid working model with time spent working at home and in the office. The post is available as full time, part-time or job-share. Applicants should be open as to their desired working pattern when they apply. Please contact , FAO the recruiting manager if you have any questions, including working patterns and travel requirements. Join us and discover what's possible. Please note, if you will require sponsorship to work in the UK. For more information, please visit or contact .
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
