White Collar Factory (95009), United Kingdom, London, LondonLead 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 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. 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 ukrecruitment@capitalone.com 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 Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, LondonLead 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 ukrecruitment@capitalone.com 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 Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireSenior Data Analyst

About the role

Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you.

Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas.

Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions—making complex business data more accessible and actionable.

What You’ll Do

On any given day, you’ll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include:

• Data Extraction & Manipulation – Handling highly complex, business-critical requests with precision.
• Collaboration & Solution Development – Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks.
• Insight Generation – Scanning and leveraging available data sources to provide actionable insights that drive business growth.
• Exploring Emerging Technologies – Quickly adapting to and integrating new technologies to enhance analytical capabilities.
• Subject Matter Expertise – Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business.
• Additional Contributions – Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys.

What We’re Looking For

• Expertise in Data Analytics – Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems.
• Technical Excellence – Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred.
• Strategic Thinking & Stakeholder Engagement – Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making.
• Problem-Solving & Analytical Rigor – A structured, inquisitive approach to solving challenges through data-driven methods.
• Numerical & Trend Analysis – A natural affinity for numbers and a keen eye for identifying trends to inform business decisions.
• Initiative & Ownership – Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required.

Where and how you’ll work

This is a permanent position based in our Nottingham office.

We have a hybrid working model which gives you flexibility to work from our offices and from home.

We’re big on collaboration and connection, so you’ll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays.

Many of our associates have flexible working arrangements, and we’re open to talking about an arrangement that works for you.

What’s in it for you

• Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation
• We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
• Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
• Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café

What you should know about how we recruit

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.

We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

• REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies
• OutFront – to provide LGBTQ+ support for all associates
• Mind Your Mind – signposting support and promoting positive mental wellbeing for all
• Women in Tech – promoting an inclusive environment in tech
• EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry

Capital One is committed to diversity in the workplace.

If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com 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 Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, LondonLead 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 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. 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 ukrecruitment@capitalone.com 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 Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Ready to start your career as a Data Analyst?

The demand for skilled data professionals in the UK is booming - and organisations are searching for people who can turn raw data into meaningful insight. If you’re looking for a career with purpose and strong growth, our Data Analyst Career Programme is built for you, with a job guarantee on completion.

Why this programme matters

We focus on equipping you with both the tools and the real-world experience you need to hit the ground running. With industry-recognised certifications, live instruction and project work you’ll be ready for business challenges from day one.

What you’ll get:

• Seven training modules, covering Excel, SQL, Python, Tableau, Power BI and more.
• Three official certifications: Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals.
• Real-world project work to enhance your CV and show our end employers you can deliver.
• Job guarantee: If you complete the programme and don’t receive a job offer, we’ll refund 100% of your course fee.

Your investment:

• Course cost: £2,795
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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).

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today's digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you're new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications, all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI. Step Three Now that you're qualified for an entry-level AI or data position paying up to £35,000 per year, our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - no matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now' to begin your new career!

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.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Analyst

About the role

Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you.

Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas.

Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions-making complex business data more accessible and actionable.

What You’ll Do

On any given day, you’ll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include:

• Data Extraction & Manipulation - Handling highly complex, business-critical requests with precision.
• Collaboration & Solution Development - Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks.
• Insight Generation - Scanning and leveraging available data sources to provide actionable insights that drive business growth.
• Exploring Emerging Technologies - Quickly adapting to and integrating new technologies to enhance analytical capabilities.
• Subject Matter Expertise - Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business.
• Additional Contributions - Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys.

What We’re Looking For

• Expertise in Data Analytics - Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems.
• Technical Excellence - Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred.
• Strategic Thinking & Stakeholder Engagement - Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making.
• Problem-Solving & Analytical Rigor - A structured, inquisitive approach to solving challenges through data-driven methods.
• Numerical & Trend Analysis - A natural affinity for numbers and a keen eye for identifying trends to inform business decisions.
• Initiative & Ownership - Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required.

Where and how you’ll work

This is a permanent position based in our Nottingham office.

We have a hybrid working model which gives you flexibility to work from our offices and from home.

We’re big on collaboration and connection, so you’ll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays.

Many of our associates have flexible working arrangements, and we’re open to talking about an arrangement that works for you.

What’s in it for you

• Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation
• We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
• Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
• Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café

What you should know about how we recruit

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.

We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

• REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies
• OutFront - to provide LGBTQ+ support for all associates
• Mind Your Mind - signposting support and promoting positive mental wellbeing for all
• Women in Tech - promoting an inclusive environment in tech
• EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry

Capital One is committed to diversity in the workplace.

If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarant

Cure Talent are delighted to be partnered with an emerging wearable medical technology company at a defining stage of its growth. Developing next-generation physiological monitoring solutions, this organisation is advancing its data science and sensing capabilities to deliver medical-grade insights beyond the hospital environment.

We have an opportunity for a Senior Data Scientist (Signal Processing) to join the team and play a key role in developing algorithms and modelling techniques used to interpret complex physiological data from non-invasive wearable sensors.

This is a hands-on, technically focused role working at the intersection of signal processing, machine learning, and physiology, translating real-world sensor data into clinically meaningful insights.

Key responsibilities

• Design and implement signal processing pipelines to analyse non-invasive physiological data
• Develop algorithms and models to extract clinically relevant cardiorespiratory and haemodynamic metrics
• Analyse complex time-series data from wearable sensors, including noisy real-world signals
• Support experimental design and analyse data from internal testing and controlled clinical studies
• Collaborate with engineering, data science, and clinical teams to integrate algorithms into products

Experience and skills required

• Strong experience in signal processing and analysis of time-series or physiological data
• Experience developing algorithms or models using MATLAB, Python, or similar high-level tools
• Understanding of techniques such as filtering, noise reduction, and feature extraction
• Experience working with non-invasive physiological signals (e.g. ECG, PPG, respiratory data)
• Ability to design experiments and work with real-world and clinical datasets

Nice to have

• Experience working with wearable sensors or digital health technologies
• Exposure to machine learning techniques applied to signal or physiological data
• Understanding of cardiorespiratory physiology or haemodynamics
• Experience translating algorithms into production or embedded environments
• Familiarity with C/C++ or similar for deployment

If youre a Data Scientist with strong signal processing experience and an interest in applying your work to real-world physiological challenges, wed love to hear from you.

Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireSenior Data Analyst

About the role

Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you.

Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas.

Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions-making complex business data more accessible and actionable.

What You’ll Do

On any given day, you’ll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include:

• Data Extraction & Manipulation - Handling highly complex, business-critical requests with precision.
• Collaboration & Solution Development - Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks.
• Insight Generation - Scanning and leveraging available data sources to provide actionable insights that drive business growth.
• Exploring Emerging Technologies - Quickly adapting to and integrating new technologies to enhance analytical capabilities.
• Subject Matter Expertise - Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business.
• Additional Contributions - Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys.

What We’re Looking For

• Expertise in Data Analytics - Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems.
• Technical Excellence - Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred.
• Strategic Thinking & Stakeholder Engagement - Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making.
• Problem-Solving & Analytical Rigor - A structured, inquisitive approach to solving challenges through data-driven methods.
• Numerical & Trend Analysis - A natural affinity for numbers and a keen eye for identifying trends to inform business decisions.
• Initiative & Ownership - Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required.

Where and how you’ll work

This is a permanent position based in our Nottingham office.

We have a hybrid working model which gives you flexibility to work from our offices and from home.

We’re big on collaboration and connection, so you’ll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays.

Many of our associates have flexible working arrangements, and we’re open to talking about an arrangement that works for you.

What’s in it for you

• Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation
• We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
• Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
• Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café

What you should know about how we recruit

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.

We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

• REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies
• OutFront - to provide LGBTQ+ support for all associates
• Mind Your Mind - signposting support and promoting positive mental wellbeing for all
• Women in Tech - promoting an inclusive environment in tech
• EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry

Capital One is committed to diversity in the workplace.

If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Who We Are

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Cure Talent are delighted to be partnered with an emerging wearable medical technology company at a defining stage of its growth. Developing next-generation physiological monitoring solutions, this organisation is advancing its data science and sensing capabilities to deliver medical-grade insights beyond the hospital environment.

We have an opportunity for a Senior Data Scientist (Signal Processing) to join the team and play a key role in developing algorithms and modelling techniques used to interpret complex physiological data from non-invasive wearable sensors.

This is a hands-on, technically focused role working at the intersection of signal processing, machine learning, and physiology, translating real-world sensor data into clinically meaningful insights.

Key responsibilities

* Design and implement signal processing pipelines to analyse non-invasive physiological data

* Develop algorithms and models to extract clinically relevant cardiorespiratory and haemodynamic metrics

* Analyse complex time-series data from wearable sensors, including noisy real-world signals

* Support experimental design and analyse data from internal testing and controlled clinical studies

* Collaborate with engineering, data science, and clinical teams to integrate algorithms into products

Experience and skills required

* Strong experience in signal processing and analysis of time-series or physiological data

* Experience developing algorithms or models using MATLAB, Python, or similar high-level tools

* Understanding of techniques such as filtering, noise reduction, and feature extraction

* Experience working with non-invasive physiological signals (e.g. ECG, PPG, respiratory data)

* Ability to design experiments and work with real-world and clinical datasets

Nice to have

* Experience working with wearable sensors or digital health technologies

* Exposure to machine learning techniques applied to signal or physiological data

* Understanding of cardiorespiratory physiology or haemodynamics

* Experience translating algorithms into production or embedded environments

* Familiarity with C/C++ or similar for deployment

If you’re a Data Scientist with strong signal processing experience and an interest in applying your work to real-world physiological challenges, we’d love to hear from you

Job Title: Research Associate in Digital Health InterventionsJob Reference: REQ Date Posted: Thu, 9 Apr :00:00 GMTApplication Closing Date: Sun, 3 May :00:00 GMTLocation: LoughboroughPackage: Specialist and Supporting Academic Research grade 6 from £35608

School of Sport, Exercise and Health Sciences

Full Time, Fixed-term to 30 June 2028

Loughborough University is committed to allowing its employees to work dynamically with a combination of working on campus and remotely, where possible.

Join us and be part of a vibrant community at Loughborough University.

Here’s more about the role and what we’re looking for:

The ACTIVATE trial is a randomised controlled trial led by the School of Sport, Exercise and Health Sciences at Loughborough University, evaluating a digital health intervention designed to improve physical activity and health outcomes in individuals with type 2 diabetes. The intervention combines wearable technology, mobile health applications, behavioural support, and financial incentives to promote sustained behaviour change.

The Research Associate will play a central role in the day-to-day delivery of the trial, including participant recruitment, onboarding, and retention, deployment and troubleshooting of wearable devices and health apps, and coordination of data collection activities. This will involve conducting device measured physical activity using Axivity accelerometers, maintaining accurate and detailed study records, liaising with clinical and external partners, and supporting data management and preliminary analyses to ensure high-quality trial delivery. to be undertaken.

About the University

Universities are one of this country’s greatest assets. We’re educators, employers, innovators and pioneers. We shape culture and society.

At Loughborough, we strive for better, think differently, challenge convention and take action. We are passionate about finding solutions to the major problems faced by society and the planet, and we create opportunities for those with the drive, the ambition, and the determination to apply themselves in the pursuit of better.

About the Department

The School of Sport Exercise and Health Sciences (SSEHS) is a multi-disciplinary school committed to fostering a diverse and inclusive academic community. It upholds the highest standards of excellence in research, innovation, and pedagogy across the full spectrum of disciplines within sport, exercise, health and wellbeing.

About You

The ideal candidate will have…

• A strong background in health-related research, with experience in behavioural interventions and/or randomised controlled trials.
• They will have hands-on experience working with consumer wearable technologies (e.g., Fitbit), including participant onboarding, device setup, and troubleshooting, as well as familiarity with mobile health applications in research or applied settings.
• Experience in collecting and managing device measured physical activity data, alongside competence in quantitative data analysis using software such as R or Python, is essential.
• Excellent organisational and communication skills, with the ability to work both independently and collaboratively within a multidisciplinary team.
• A PhD (or near completion) in a relevant discipline such as digital health, sport and exercise science, public health, or behavioural science is expected, alongside a strong commitment to high-quality research practice.

Why should you Apply?

With huge amount of variety in the role, there is an opportunity for you to develop and continually grow.

If this sounds like the right place, team and role for you please do get in touch. We’d love to hear from you.

Informal enquiries should be directed to James Sanders, Lecturer in Digital Health, via email to or by telephone to .

For more information refer to the Job Description and Person Specification.

Application Process

For further support with your application, please refer to our application guidance, which includes some top tips to help you when completing your application.

We are happy to consider any reasonable adjustments that candidates may need during the recruitment process. If there are additional adjustments, you’d like to request please contact James Sanders. We also offer reasonable adjustments on the job.

Our Benefits

At Loughborough, our benefits are designed to support your life inside and outside of work, helping you to thrive and feel valued as part of our community.  Examples of our benefits include:

Time off - generous holiday allowance, including 14 university closure days and bank holidays, with the option to buy extra through our holiday purchase scheme.

Where you work - access to a range of fantastic facilities with plenty of green space across our 523-acre East Midlands campus, plus an exciting community at our London campus on the Queen Elizabeth Olympic Park

Financial Wellbeing - competitive pay, two excellent pension schemes, and everyday savings opportunities.

Support for you and those close to you - through our range of life event leave policies as well as access to an on-site nursery at our East Midlands campus, flexible and hybrid working options.

Health and Wellbeing - discounted gym memberships and access to world-class sporting facilities, including physiotherapy, plus healthcare offers such as eyesight testing and wellbeing support.

Travel and sustainability - access to our electric vehicle and cycle-to-work schemes, as well as a variety of travel offers to support sustainable commuting.

Discover more about the full range of rewards and benefits at Loughborough University.

Job Title: Research Associate or Research Assistant in Circular Robotic ManufacturingJob Reference: REQ Date Posted: Wed, 25 Mar :00:00 GMTApplication Closing Date: Mon, 20 Apr :00:00 GMTLocation: LoughboroughPackage: Specialist and Supporting Academic Research from £29,588 per annum. Subject to annual pay award. Wolfson School of Mechanical, Electrical and Manufacturing Engineering Full Time, Fixed Term until 31 January 2028 This role is not suitable for remote working and is office based only as it is essential that the post holder has the ability and willingness to travel to national and international partners and undertake visits lasting 1-3 weeks to project partners. Please note: this role will be recruited to either a Post Doctoral Research Associate (grade 6) or Research Assistant (grade 5) depending on the pool of applicants we receive. Join us and be part of a vibrant community at Loughborough University. About the University Universities are one of this country’s greatest assets. We’re educators, employers, innovators and pioneers. We shape culture and society. At Loughborough, we strive for better, think differently, challenge convention and take action. We are passionate about finding solutions to the major problems faced by society and the planet, and we create opportunities for those with the drive, the ambition, and the determination to apply themselves in the pursuit of better. Here’s more about the role and what we’re looking for: We are looking for a talented and enthusiastic Graduate Research Assistant or Post-Doctoral Research Associate with strong interest in Circular Economy, Robotics, AI and vision systems, sustainability, remanufacturing and recycling to work on an exciting project which aims to develop a whole system circular approach to the design, use and end-of-life management of industrial robots. The postholder will be based at the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University campus and will lead work on developing a circular economy framework for disassembly, refurbishment, remanufacturing or material recycling of end-of-life industrial robots, supported by  AI-based life cycle assessment (LCA) and life cycle costing (LCC) models. This appointment is fixed term until the current project end date of 31 January 2028. You will have a BSc, MSc or PhD degree or equivalent in mechanical, manufacturing, electronic, robotic control engineering or any relevant discipline. You will have regular interaction and collaborate closely with the project’s team of researchers together with an integrated academic and industrial project team to develop new learning and to disseminate the project findings. For more information about the Research Assistant (grade 5) please see the Job Description and Person Specification. For more information about the Post Doctoral Research Associate (grade 6) please see the Job Description and Person Specification. Why should you Apply? With huge amount of variety in the role, there is an opportunity for you to develop and continually grow. If this sounds like the right place, team and role for you please do get in touch. We’d love to hear from you. Informal enquiries should be directed to Professor Shahin Rahimifard ( ) Application Process For further support with your application, please refer to our application guidance, which includes some top tips to help you when completing your application We are happy to consider any reasonable adjustments that candidates may need during the recruitment process. If there are additional adjustments, you’d like to request please contact Professor Shahin Rahimifard. We also offer reasonable adjustments on the job. Closing Date: 20 April 2026 Interview Date: To be confirmed Our Benefits At Loughborough, our benefits are designed to support your life inside and outside of work, helping you to thrive and feel valued as part of our community.  Examples of our benefits include: Time off - generous holiday allowance, including 14 university closure days and bank holidays, with the option to buy extra through our holiday purchase scheme. Where you work - access to a range of fantastic facilities with plenty of green space across our 523-acre East Midlands campus, plus an exciting community at our London campus on the Queen Elizabeth Olympic Park Financial Wellbeing - competitive pay, two excellent pension schemes, and everyday savings opportunities. Support for you and those close to you - through our range of life event leave policies as well as access to an on-site nursery at our East Midlands campus, flexible and hybrid working options. Health and Wellbeing - discounted gym memberships and access to world-class sporting facilities, including physiotherapy, plus healthcare offers such as eyesight testing and wellbeing support. Travel and sustainability - access to our electric vehicle and cycle-to-work schemes, as well as a variety of travel offers to support sustainable commuting. Discover more about the full range of rewards and benefits at Loughborough University.

Job Title: Junior Data Scientist Location: Nottingham Salary: £33,000 - £38,000 Type: Permanent || Full Time Hours: Monday – Friday || On-site Overview The Flavour Network is in close partnership with a fast-growing, data-driven manufacturing business to recruit a Junior Data Scientist. This is an exciting opportunity for someone early in their career to join a growing data team and play a key role in supporting data-led decision-making across the business. As the Junior Data Scientist, you will work across multiple departments, analysing data, building models, and generating insights that directly impact business performance. This role is ideal for a curious, motivated individual eager to learn and develop in a fast-paced, collaborative environment. In return, you’ll receive a competitive salary, learning and development support, a wellbeing allowance, access to team events and employee perks, birthday leave, and the opportunity to grow within a scaling business. Key Responsibilities for the Junior Data Scientist: \* Collect, clean and preprocess data from multiple sources \* Conduct exploratory data analysis to identify trends and insights \* Support the development and validation of statistical and machine learning models \* Create reports, dashboards and visualisations to communicate findings \* Collaborate with stakeholders across the business to understand requirements \* Deliver actionable insights to support commercial decision-making \* Document data processes and methodologies to ensure accuracy and consistency Requirements for the Junior Data Scientist: \* Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field \* Experience with Python, R, or similar for data analysis \* Familiarity with data visualisation tools (e.g. Tableau, Power BI) \* Working knowledge of SQL and relational databases \* Strong analytical and problem-solving skills \* Excellent communication skills, with the ability to explain data to non-technical stakeholders \* Eagerness to learn and develop new skills \* Proactive and adaptable approach \* Internship or project experience in data analysis or modelling is desirable \* Exposure to cloud-based platforms is desirable \* Experience with version control tools such as Git is desirable If you are a motivated, detail-oriented graduate or junior professional looking to build a career in data science at a growing business, we would love to hear from you

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

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