304 jobs found

Senior Development Scientist Location: On-site, Oak Tree House, BB18 6JZ (working across both Broughton sites) Salary: £39,700 - £52,000 per annum + Excellent Benefits Hours: 40 hours per week, Monday-Friday (8-hour days, 30-minute lunch break) Contract Type: Full Time, Permanent Benefits: Annual Bonus: £1,200 based on company and personal performance, Holidays: 25 days plus statutory holidays (option 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). 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.

Role: Biomedical Scientist (Histology) - Field Applications Specialist Location: Field based UK wide with national travel required Hours: Full time Pay: 200 - 250 (PAYE basic) OR .59 (UMB) per day Contract: 12 month contract inside IR35 An excellent opportunity has arisen for a Biomedical Scientist (Histology) - Field Applications Specialist to join one of our longstanding clients, a global organisation operating within the medical devices diagnostics and pharmaceutical technology sector . This role sits within the customer projects team and will focus on the installation relocation and commissioning of advanced diagnostic and laboratory instrumentation within hospitals laboratories pharmaceutical environments and research facilities across the UK. This is a field based role covering the UK nationally and will require regular travel and overnight stays. Candidates based in the North of the UK would be preferable but this is not essential . Benefits 25 days holiday + bank holidays Competitive weekly pay Opportunity to work with advanced medical diagnostic technology Field based role working across hospital laboratory and pharmaceutical environments Long term contract within a global healthcare technology organisation The Requirements Qualified Engineer in Electrical Engineering Medical Technology or similar discipline Or relevant Biomedical Science degree ONC HND City and Guilds diploma degree or equivalent Strong electrical electronic or mechanical understanding Ability to troubleshoot technical issues and provide first level support Strong communication skills when working with customers and internal teams Ability to manage workload and prioritise tasks in a field based role Full UK driving licence Passport required for occasional overseas training The Role Install relocate and de install complex diagnostic and laboratory instruments Provide first level troubleshooting and technical support during installations Work closely with internal project teams to deliver installation projects on schedule Ensure installations meet all health and safety and regulatory requirements Represent the business professionally when working within customer laboratories Maintain accurate documentation and installation records Maintain tools equipment and calibration requirements for service activities Share best practice knowledge with colleagues across the wider technical team Attend training to maintain product and technology knowledge If you're keen to join an exceptional team working with advanced medical devices and diagnostic technology in a national field engineering role , then please apply to this Biomedical Scientist (Histology) - Field Applications Specialist role below or call Chloe McCausland on (phone number removed) between 8:30am and 5:00pm .

Teacher of Science - Full Time, Permanent Potential Leadership Opportunity for Suitable Candidates Redbridge, East London £36,413 - £53,994 (Outer London M1 - UPS3) £3,391 - £8,279 available for suitable candidates September 2026 An ambitious and forward-thinking secondary school in Redbridge, East London is seeking to appoint a dynamic and inspirational Teacher of Science to join its dedicated team from September 2026. This is an exciting opportunity for a passionate science educator to join a supportive school community that is committed to high standards, excellent teaching and strong student outcomes. The school is part of a successful academy trust and provides a supportive and aspirational environment where both staff and students are encouraged to achieve their very best. For the right candidate, there is the potential for a leadership responsibility (TLR) within the department. About the School This inclusive and ambitious secondary school serves a diverse and vibrant community. The school prides itself on creating a culture of high expectations, strong pastoral support and academic success, ensuring every student is supported to reach their full potential. Staff benefit from a collaborative and supportive working environment, with excellent opportunities for professional development, leadership progression and curriculum innovation. The school places a strong emphasis on high-quality teaching and is committed to developing talented educators who want to make a lasting impact on students' lives. The Science Department The Science Department is a large, collaborative and successful team, delivering a high-quality curriculum across Key Stage 3 and Key Stage 4. Students study a broad science programme including: Combined Science and Separate Sciences at GCSE Biology, Chemistry and Physics pathways A strong emphasis on practical investigation and scientific enquiry The department is focused on developing subject-specific pedagogy and a carefully sequenced curriculum to ensure that all students make strong academic progress while developing curiosity and enthusiasm for science. For the right candidate, there may also be opportunities for additional responsibility or leadership within the department, making this an excellent role for ambitious teachers looking to progress in their careers. The Role Teachers at the school make the education of their students their first concern and are accountable for achieving the highest possible standards in work and conduct. Staff act with honesty and integrity, demonstrate strong subject knowledge and work collaboratively with colleagues and parents in the best interests of students. The successful candidate will: Set high expectations that inspire, motivate and challenge students Promote strong progress and positive outcomes for all pupils Demonstrate excellent subject and curriculum knowledge Plan and deliver well-structured and engaging lessons Adapt teaching to respond to the strengths and needs of all learners Make accurate and effective use of assessment to support progress Manage behaviour effectively to ensure a safe and productive learning environment Contribute to wider school responsibilities and enrichment opportunities Teachers are expected to uphold high standards of professionalism, ethics and behaviour, both inside and outside the classroom, and to work within the statutory frameworks set out in the Teachers' Standards. Person Specification The ideal candidate will: Hold Qualified Teacher Status (QTS) Possess excellent subject knowledge in Science Have a strong understanding of the UK National Curriculum and assessment frameworks Demonstrate a passion for inspiring young scientists Be committed to delivering high-quality teaching and learning Be eager to contribute to departmental and whole-school improvement Applications are welcomed from Early Career Teachers (ECTs) as well as experienced teachers, including those interested in developing into leadership roles. Apply Now This is a fantastic opportunity to join a supportive and ambitious school, work within a strong Science department, and teach students who are eager to learn and succeed. Suitable candidates are strongly encouraged to reach out to Natasja at KPI Education today and send their CV to apply for this fantastic opportunity starting in September 2026.

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 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 All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. What you'll do Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. What we're looking for Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack . You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you'll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. Where and how you'll work This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. What's in it for you Innovation Time: We give you 10% of your time to work on cutting-edge projects-whether that's exploring new AI frameworks or building internal tools. Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. Our Commitment to Diversity We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind . 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.

The essentials Permanent, full-time (part-time considered) £28,000 per year Hybrid working with 2 days a week in our Bath office The Geological Society Publishing House has an exciting opportunity within the publishing operations team for a Publishing Coordinator - Journals to maintain the smooth running of the submission and peer review process for the Society s journal publishing programme. 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 To oversee the article submission and peer review process for the Society s journal publishing programme. Alongside the Publishing Coordinator for Books, implement agreed workflow and development updates across our submission, reviewing and licence management publishing operation systems and contribute to the operational side of the research integrity in house team. Reporting to the Head of Publishing Operations. Peer-review Manage peer review on the Society s journal portfolio Management of editorial freelance services Maintain peer review turnaround times and acceptance levels Liaison and support of key stakeholders Excellent communication skills, teamwork and collaboration across team Accountability to meet competing deadlines in a dynamic environment Ensure that manuscripts meet requirements and follow current policies and procedures Uphold excellent contributor experience for authors, editors, and reviewers Work with different teams to identify key articles for promotion and improve journal visibility Operational systems Develop system configuration skills required to become an operational systems specialist for the Society s manuscript submission and production system (currently Editorial Manager and Production Manager) and its third-party integrated systems (such as licence and open access management and research integrity tools) Work with colleagues to troubleshoot persistent manuscript, workflow or system issues, providing expertise and advice, and exercising judgement to resolve the issue Developing an understanding of XML tagging would be desirable Research Integrity Work with colleagues to maintain guidance and use of tools to comply with industry research integrity standards Research integrity operational checks and assessments 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. What we re looking for Essential Experience with STM publishing workflows Excellent communication skills Ability to work well as part of a team Experience in communicating with internal and external stakeholders Excellent attention to detail and decision-making ability Excellent IT proficiency and full familiarity with the normal range of office/publishing software Organized, deadline-oriented, and able to manage multiple priorities Desirable Experience with STM submission and production systems Experience working with suppliers Working knowledge of XML and HTML Experience with research integrity issues and systems Good troubleshooting, analytical, and problem-solving skills Experience collaborating across teams and an ability to contribute to a culture of continuous improvement Degree level education Experience of working for a learned or professional society (or other charitable organisation with trustees, committees and volunteers) Person Specification Excellent interpersonal skills, and a commitment to collaborative working across the Society Self-motivated, proactive, with the confidence to act independently and with a flexible approach A commitment to personal development and learning Ability to work under pressure and to deadlines, prioritising work accordingly Positivity and enthusiasm 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.

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 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 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.

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

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

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