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.
May 04, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll workThis is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
Research Engineer - Process Chemistry & Scale Up On-site / Hybrid considered Salary £26,000 - £34,000 per annum About the Role: CPI is seeking a Research Engineer - Process Chemistry & Scale Up to join our Process Chemistry and Scale Up team, an interdisciplinary group of engineers and chemists working at the interface between laboratory science and pilot-scale manufacturing. This role is firmly engineering-focused. You will work alongside process chemists to bridge the gap between bench-scale chemistry and scalable, robust processes , with a particular focus on powder-based systems, particle technologies, and battery-related applications . The team has recently opened a new pilot plant facility , and this role will play a key part in commissioning, maintaining, and operating larger-scale equipment - supporting scale-up, process understanding, and delivery of client and internal programmes. This opportunity is well suited to an early-career or developing engineer (for example a recent PhD graduate or MEng Chemical Engineer) who wants to apply engineering thinking in a hands-on, applied R&D environment. What You'll Be Responsible For: Process Engineering & Scale-Up Support scale-up activities from bench-scale chemistry into pilot-scale processes Apply engineering principles to translate laboratory concepts into practical, scalable solutions Work closely with chemists to enable robust and manufacturable processes Pilot Plant & Equipment Support Commission, maintain, and support pilot-scale processing equipment Carry out equipment calibration, routine maintenance, and troubleshooting Support the safe operation of larger-scale and specialist process equipment Powder & Particle Technology Contribute to projects involving powder processing, characterisation, and handling Apply knowledge of particulate systems within battery materials and related technologies Support development work involving complex particles and solids processing Process Understanding & Modelling Contribute to process simulation, modelling, and data analysis where appropriate Support experimental planning, scale-up studies, and technical reporting Maintain high-quality documentation in line with SHE, quality, and best practice requirements Collaboration & Delivery Work as part of a multidisciplinary team of engineers and chemists Take ownership of delegated engineering tasks and deliver them reliably Support commissioning and early operation of new facilities and capabilities About You: You are an engineer first and foremost , with an interest in applying engineering thinking to chemistry-led processes. You enjoy practical problem-solving and want exposure to real equipment, pilot plants, and scale-up challenges. You'll bring: A background in Chemical Engineering (degree, MEng, or PhD) or a closely related discipline An engineering mindset with an interest in process scale-up and applied R&D Exposure to powders, particles, solids handling, or powder characterisation (from academia or industry) Willingness to work hands-on with equipment in a pilot-plant environment A structured, dependable approach to completing delegated tasks Desirable (but not essential): Exposure to battery materials or battery processing Experience of pilot-scale equipment, commissioning activities, or laboratories Familiarity with process simulation or modelling tools PhD qualification or membership (or working towards membership) of a professional engineering body This role is not suited to a pure scientist profile - we are specifically looking for someone who wants to develop and apply engineering capability . Why Join CPI? Work at the interface of chemistry, engineering, and scale-up Hands-on experience with new pilot plant facilities and equipment Exposure to emerging technologies, including battery materials and particulate systems Supportive, collaborative team environment with strong technical mentoring Clear development pathway, with potential to progress role level and salary Location & Working Pattern Based primarily on site within CPI's facilities Some flexibility may be available depending on project needs Role involves practical, on-site engineering work with pilot equipment Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 04, 2026
Full time
Research Engineer - Process Chemistry & Scale Up On-site / Hybrid considered Salary £26,000 - £34,000 per annum About the Role: CPI is seeking a Research Engineer - Process Chemistry & Scale Up to join our Process Chemistry and Scale Up team, an interdisciplinary group of engineers and chemists working at the interface between laboratory science and pilot-scale manufacturing. This role is firmly engineering-focused. You will work alongside process chemists to bridge the gap between bench-scale chemistry and scalable, robust processes , with a particular focus on powder-based systems, particle technologies, and battery-related applications . The team has recently opened a new pilot plant facility , and this role will play a key part in commissioning, maintaining, and operating larger-scale equipment - supporting scale-up, process understanding, and delivery of client and internal programmes. This opportunity is well suited to an early-career or developing engineer (for example a recent PhD graduate or MEng Chemical Engineer) who wants to apply engineering thinking in a hands-on, applied R&D environment. What You'll Be Responsible For: Process Engineering & Scale-Up Support scale-up activities from bench-scale chemistry into pilot-scale processes Apply engineering principles to translate laboratory concepts into practical, scalable solutions Work closely with chemists to enable robust and manufacturable processes Pilot Plant & Equipment Support Commission, maintain, and support pilot-scale processing equipment Carry out equipment calibration, routine maintenance, and troubleshooting Support the safe operation of larger-scale and specialist process equipment Powder & Particle Technology Contribute to projects involving powder processing, characterisation, and handling Apply knowledge of particulate systems within battery materials and related technologies Support development work involving complex particles and solids processing Process Understanding & Modelling Contribute to process simulation, modelling, and data analysis where appropriate Support experimental planning, scale-up studies, and technical reporting Maintain high-quality documentation in line with SHE, quality, and best practice requirements Collaboration & Delivery Work as part of a multidisciplinary team of engineers and chemists Take ownership of delegated engineering tasks and deliver them reliably Support commissioning and early operation of new facilities and capabilities About You: You are an engineer first and foremost , with an interest in applying engineering thinking to chemistry-led processes. You enjoy practical problem-solving and want exposure to real equipment, pilot plants, and scale-up challenges. You'll bring: A background in Chemical Engineering (degree, MEng, or PhD) or a closely related discipline An engineering mindset with an interest in process scale-up and applied R&D Exposure to powders, particles, solids handling, or powder characterisation (from academia or industry) Willingness to work hands-on with equipment in a pilot-plant environment A structured, dependable approach to completing delegated tasks Desirable (but not essential): Exposure to battery materials or battery processing Experience of pilot-scale equipment, commissioning activities, or laboratories Familiarity with process simulation or modelling tools PhD qualification or membership (or working towards membership) of a professional engineering body This role is not suited to a pure scientist profile - we are specifically looking for someone who wants to develop and apply engineering capability . Why Join CPI? Work at the interface of chemistry, engineering, and scale-up Hands-on experience with new pilot plant facilities and equipment Exposure to emerging technologies, including battery materials and particulate systems Supportive, collaborative team environment with strong technical mentoring Clear development pathway, with potential to progress role level and salary Location & Working Pattern Based primarily on site within CPI's facilities Some flexibility may be available depending on project needs Role involves practical, on-site engineering work with pilot equipment Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Data Scientist Associate Manager Locations: London or Manchester (Hybrid) Salary: Up to £75,000 (London) / £65,000£68,000 (Manchester) + bonus + package We are looking for a skilled Data Scientist (Associate Manager level) to join a high-performing team delivering advanced AI and machine learning solutions within secure government and defence environments click apply for full job details
May 04, 2026
Full time
Data Scientist Associate Manager Locations: London or Manchester (Hybrid) Salary: Up to £75,000 (London) / £65,000£68,000 (Manchester) + bonus + package We are looking for a skilled Data Scientist (Associate Manager level) to join a high-performing team delivering advanced AI and machine learning solutions within secure government and defence environments click apply for full job details
Spectrum It Recruitment Limited
Reading, Berkshire
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems click apply for full job details
May 04, 2026
Full time
Senior Software Engineer - Python - Agentic AI Fully Remote (UK) A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems click apply for full job details
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
May 04, 2026
Full time
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
May 04, 2026
Full time
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
May 04, 2026
Full time
Data Scientist - Defence & Security £Up to £75,000 GBP Bonus Onsite WORKING Location: Manchester; Bristol; London , Central London, Greater London - United Kingdom Type: Permanent Data Scientist Specialist (MLOps & GenAI) Bristol Onsite/Hybrid Permanent Our client is a leading global technology and consulting organisation , recognised as one of Fortune's World's Most Admired Companies , delivering ad click apply for full job details
Newton Colmore Consulting Ltd
Cambridge, Cambridgeshire
Experienced Mechanical Engineer - Instrument Design Newton Colmore is working with a tech company in Cambridge that manufacture a variety of instruments and systems, assisting them in their search for a mechanical design engineer. We are looking for a talented Mechanical Engineer to join a multi-disciplinary team of scientists and engineers working on breakthrough technology for several different sectors, from airport scanners through to radar systems. You will own the full product lifecycle - from requirements capture through design, development, testing, and delivery to production - on projects ranging from proof-of-concept work to working prototypes. What you will be doing. Using SolidWorks and other 3D CAD tools, you will design a wide variety of solutions including products, assembly jigs, test equipment, and instrumentation. You will also present proposed solutions through sketches, animations, and renderings, and get hands-on with build, testing, and troubleshooting. Core skills required for this technical role. 3D CAD (SolidWorks, Catia, Creo or AutoCAD) CAD design & manufacturing Design for manufacture Welding & fabrication design Thermal simulation / modelling PDM experience or familiarity Desirable experience (not essential) Electronics / PCB integration Supply chain liaison Ruggedised design Miniaturised / small form factor Active / passive cooling Additive manufacture What is on offer Tailored salaries and comprehensive suite of benefits High employer pension contribution + monetary bonuses Autonomy and mentoring in equal measure Private medical insurance for you and your family 25 days holiday + bank holidays Lunch provided daily on-site EV leasing & Cycle to Work scheme On-site gym + sports & social clubs Enhanced family-friendly leave Candidates must be eligible for UK security clearance.
May 04, 2026
Full time
Experienced Mechanical Engineer - Instrument Design Newton Colmore is working with a tech company in Cambridge that manufacture a variety of instruments and systems, assisting them in their search for a mechanical design engineer. We are looking for a talented Mechanical Engineer to join a multi-disciplinary team of scientists and engineers working on breakthrough technology for several different sectors, from airport scanners through to radar systems. You will own the full product lifecycle - from requirements capture through design, development, testing, and delivery to production - on projects ranging from proof-of-concept work to working prototypes. What you will be doing. Using SolidWorks and other 3D CAD tools, you will design a wide variety of solutions including products, assembly jigs, test equipment, and instrumentation. You will also present proposed solutions through sketches, animations, and renderings, and get hands-on with build, testing, and troubleshooting. Core skills required for this technical role. 3D CAD (SolidWorks, Catia, Creo or AutoCAD) CAD design & manufacturing Design for manufacture Welding & fabrication design Thermal simulation / modelling PDM experience or familiarity Desirable experience (not essential) Electronics / PCB integration Supply chain liaison Ruggedised design Miniaturised / small form factor Active / passive cooling Additive manufacture What is on offer Tailored salaries and comprehensive suite of benefits High employer pension contribution + monetary bonuses Autonomy and mentoring in equal measure Private medical insurance for you and your family 25 days holiday + bank holidays Lunch provided daily on-site EV leasing & Cycle to Work scheme On-site gym + sports & social clubs Enhanced family-friendly leave Candidates must be eligible for UK security clearance.
Manufacturing Technician Location: Office based, Whiteley PO15 7AF Salary: £29,000-£33,000, depending on skills and experience Contract: Full Time, Permanent What we offer: In common with many start-ups, we offer a fast-paced, dynamic environment where you can learn a huge amount in a short time, with exposure to everything happening in the company. We look after our staff as they are our key asset, and offer regular salary reviews, share options, lots of flexibility and generous training allowances. Our facilities are commutable from most of Hampshire, West Sussex, Poole, Bournemouth etc. About the company: iFAST is an innovative new medical technology spinout from the University of Southampton, led by an experienced team of entrepreneurs and scientists. We have developed a game changing microfluidics based test for antimicrobial susceptibility, reducing the test time from 48+ to 3 hours to help combat the global threat of antimicrobial resistance, which kills more than 1 million people per year. Job Role: We are now seeking a manufacturing technician to join our team in Whiteley, Hampshire, reporting to our Head of Manufacturing Operations, to help us build our instruments and manufacture our microfluidic chips to bring our technology to market. Responsibilities: Manufacturing: • Manufacturing of microfluidic chips and iFAST instruments in accordance with written instructions • Perform complex, detailed operations on small parts, working under a microscope where necessary • Keep accurate, clear manufacturing records and maintain clean, organised work area • Comply with work instructions, guidelines and regulatory requirements • Report problems (and potential problems) with quality, processes, equipment and materials to management • Ensure all equipment used is appropriately cleaned, maintained, calibrated before use Design & Development: • Assist with product development by assembling prototype devices and providing feedback • Perform product testing to provide information on product performance • Keep accurate, clear and complete records for inclusion within the Design History File • Writing new work instructions and process flow cards Quality System: • Work within medical device quality system in accordance with EN ISO 13485:2016 and 21 CFR 820 • Responsible for operating and maintaining the manufacturing laboratory equipment as specified by the relevant SOPs • Input into product quality meetings, offer ideas and corrective actions Support: • Provide technical support to Quality (e.g. training, input into non-conformance investigations, customer complaints) • Assist with documentation in accordance with standards, manufacturing procedure documentation, and SOPs. • Provide feedback and support for continuous improvement projects • Periodically presenting your work to the team and our collaborators, and performing other tasks as assigned Knowledge, Skills & Experience: • Good numeracy and basic IT skills; ability to work in accordance with documented work instructions • Appropriate engineering or medical devices experience working to ISO 13485 or GLP • Excellent practical skills with experience using precision manufacturing equipment • Experience of working within a controlled environment, such as a GLP laboratory or cleanroom • Familiarity with wiring, cable harnesses, crimping and soldering is desirable but not essential • The ability to work well in a team and to manage & prioritize your own workload with minimal supervision • Great interpersonal skills, as we are a small, close-knit team with a culture of togetherness • Good problem-solving skills and the ability to use your initiative to fix things when they go wrong • An accurate and methodical approach to work, including documentation in compliant with our QMS • Being a self-starter you should have great self-motivation to do a great job and to help the company succeed • Excellent attention to detail including reading CAD drawings If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.
May 04, 2026
Full time
Manufacturing Technician Location: Office based, Whiteley PO15 7AF Salary: £29,000-£33,000, depending on skills and experience Contract: Full Time, Permanent What we offer: In common with many start-ups, we offer a fast-paced, dynamic environment where you can learn a huge amount in a short time, with exposure to everything happening in the company. We look after our staff as they are our key asset, and offer regular salary reviews, share options, lots of flexibility and generous training allowances. Our facilities are commutable from most of Hampshire, West Sussex, Poole, Bournemouth etc. About the company: iFAST is an innovative new medical technology spinout from the University of Southampton, led by an experienced team of entrepreneurs and scientists. We have developed a game changing microfluidics based test for antimicrobial susceptibility, reducing the test time from 48+ to 3 hours to help combat the global threat of antimicrobial resistance, which kills more than 1 million people per year. Job Role: We are now seeking a manufacturing technician to join our team in Whiteley, Hampshire, reporting to our Head of Manufacturing Operations, to help us build our instruments and manufacture our microfluidic chips to bring our technology to market. Responsibilities: Manufacturing: • Manufacturing of microfluidic chips and iFAST instruments in accordance with written instructions • Perform complex, detailed operations on small parts, working under a microscope where necessary • Keep accurate, clear manufacturing records and maintain clean, organised work area • Comply with work instructions, guidelines and regulatory requirements • Report problems (and potential problems) with quality, processes, equipment and materials to management • Ensure all equipment used is appropriately cleaned, maintained, calibrated before use Design & Development: • Assist with product development by assembling prototype devices and providing feedback • Perform product testing to provide information on product performance • Keep accurate, clear and complete records for inclusion within the Design History File • Writing new work instructions and process flow cards Quality System: • Work within medical device quality system in accordance with EN ISO 13485:2016 and 21 CFR 820 • Responsible for operating and maintaining the manufacturing laboratory equipment as specified by the relevant SOPs • Input into product quality meetings, offer ideas and corrective actions Support: • Provide technical support to Quality (e.g. training, input into non-conformance investigations, customer complaints) • Assist with documentation in accordance with standards, manufacturing procedure documentation, and SOPs. • Provide feedback and support for continuous improvement projects • Periodically presenting your work to the team and our collaborators, and performing other tasks as assigned Knowledge, Skills & Experience: • Good numeracy and basic IT skills; ability to work in accordance with documented work instructions • Appropriate engineering or medical devices experience working to ISO 13485 or GLP • Excellent practical skills with experience using precision manufacturing equipment • Experience of working within a controlled environment, such as a GLP laboratory or cleanroom • Familiarity with wiring, cable harnesses, crimping and soldering is desirable but not essential • The ability to work well in a team and to manage & prioritize your own workload with minimal supervision • Great interpersonal skills, as we are a small, close-knit team with a culture of togetherness • Good problem-solving skills and the ability to use your initiative to fix things when they go wrong • An accurate and methodical approach to work, including documentation in compliant with our QMS • Being a self-starter you should have great self-motivation to do a great job and to help the company succeed • Excellent attention to detail including reading CAD drawings If you feel you have the necessary skills and experience to be successful in this role, click on APPLY today, forwarding an up-to-date copy of your CV for consideration in the first instance. No agencies please.
Join Our Global Client as an Executive Assistant - ASAP Start! We are a leading and growing consulting firm, with a talented team of environmental and business consultants, engineers, and scientists dedicated to driving organisational success. Position: Executive Assistant to CEO & Head of Legal Counsel Contract Type: Full time, 12 month fixed-term contract (maternity leave cover) Salary: £55,000 - £65,000 per annum Location: Holborn, London Working Pattern: Full-time, hybrid/ flexible working About the Role Are you an experienced and highly organised professional looking for an exciting opportunity to support senior leadership? This Executive Assistant role is pivotal in ensuring the smooth running of the organisation, supporting the CEO and Head of Legal Counsel, and enhancing overall efficiency. Key Responsibilities Efficiently coordinate complex executive calendars, scheduling meetings, appointments, and travel Anticipate and proactively resolve scheduling conflicts Act as a key point of contact for internal and external stakeholders, demonstrating professionalism at all times Draft, edit, and proofread communications, emails, reports, and presentations Organise executive meetings and prepare materials in advance Record minutes and track follow-up actions Manage global travel logistics, including itineraries and expense reporting Handle sensitive information with the utmost discretion Support the coordination of special projects and events Build and maintain strong stakeholder relationships on behalf of senior leadership Effectively manage competing priorities in a fast-paced environment About You We are seeking someone with a proven track record of supporting C-level executives. You will have: Experience: Proven experience as an Executive Assistant at senior level Skills: Exceptional organisational skills, attention to detail, and strong written and verbal communication Proficiency: Strong knowledge of Microsoft Office and relevant tools Autonomy: Ability to work independently and manage multiple priorities Discretion: Experience handling confidential and sensitive information Why Join Us? This is your opportunity to play a key role in a dynamic and collaborative environment: Competitive salary package Hybrid working with a central London location Work alongside a highly skilled and supportive team If you're ready to take on this exciting opportunity and make a real impact, we'd love to hear from you. Apply now and be part of our continued success! Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
May 04, 2026
Contractor
Join Our Global Client as an Executive Assistant - ASAP Start! We are a leading and growing consulting firm, with a talented team of environmental and business consultants, engineers, and scientists dedicated to driving organisational success. Position: Executive Assistant to CEO & Head of Legal Counsel Contract Type: Full time, 12 month fixed-term contract (maternity leave cover) Salary: £55,000 - £65,000 per annum Location: Holborn, London Working Pattern: Full-time, hybrid/ flexible working About the Role Are you an experienced and highly organised professional looking for an exciting opportunity to support senior leadership? This Executive Assistant role is pivotal in ensuring the smooth running of the organisation, supporting the CEO and Head of Legal Counsel, and enhancing overall efficiency. Key Responsibilities Efficiently coordinate complex executive calendars, scheduling meetings, appointments, and travel Anticipate and proactively resolve scheduling conflicts Act as a key point of contact for internal and external stakeholders, demonstrating professionalism at all times Draft, edit, and proofread communications, emails, reports, and presentations Organise executive meetings and prepare materials in advance Record minutes and track follow-up actions Manage global travel logistics, including itineraries and expense reporting Handle sensitive information with the utmost discretion Support the coordination of special projects and events Build and maintain strong stakeholder relationships on behalf of senior leadership Effectively manage competing priorities in a fast-paced environment About You We are seeking someone with a proven track record of supporting C-level executives. You will have: Experience: Proven experience as an Executive Assistant at senior level Skills: Exceptional organisational skills, attention to detail, and strong written and verbal communication Proficiency: Strong knowledge of Microsoft Office and relevant tools Autonomy: Ability to work independently and manage multiple priorities Discretion: Experience handling confidential and sensitive information Why Join Us? This is your opportunity to play a key role in a dynamic and collaborative environment: Competitive salary package Hybrid working with a central London location Work alongside a highly skilled and supportive team If you're ready to take on this exciting opportunity and make a real impact, we'd love to hear from you. Apply now and be part of our continued success! Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Data Scientist (MLOps / GenAI Focus) Location: Bristol Salary: Competitive + Benefits Join a cutting-edge AI team working at the forefront of GenAI, MLOps, and secure cloud deployments within highly regulated environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading tec click apply for full job details
May 04, 2026
Full time
Data Scientist (MLOps / GenAI Focus) Location: Bristol Salary: Competitive + Benefits Join a cutting-edge AI team working at the forefront of GenAI, MLOps, and secure cloud deployments within highly regulated environments. The Role Youll act as a technical specialist and team lead, delivering innovative machine learning solutions: Building and deploying LLMs and ML models (cloud or HPC) Leading tec click apply for full job details
Job Description: Develop and maintain scalable data pipelines and infrastructure to support data-intensive applications. Collaborate with data scientists and analysts to ensure data availability and reliability. £40000 - £47000 / year Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and employment business click apply for full job details
May 04, 2026
Full time
Job Description: Develop and maintain scalable data pipelines and infrastructure to support data-intensive applications. Collaborate with data scientists and analysts to ensure data availability and reliability. £40000 - £47000 / year Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and employment business click apply for full job details
Our client is a well funded and fast growing proteomics start up who are welcoming an exceptional Protein Biochemist to join their ambitious and energetic team. You will be working on technology that doesn't exist anywhere else and joining at a key inflection point as the business moves through development to global product launch click apply for full job details
May 04, 2026
Full time
Our client is a well funded and fast growing proteomics start up who are welcoming an exceptional Protein Biochemist to join their ambitious and energetic team. You will be working on technology that doesn't exist anywhere else and joining at a key inflection point as the business moves through development to global product launch click apply for full job details
Parent TEST TJ Company 1
Cambridge, Cambridgeshire
The Opportunity: LC-MS Scientist - Discovery Bioanalysis Location: Cambridge - Discovery Center Contract: Temporary (12 months) About the Role We are seeking an LC-MS Scientist to join our customer's Discovery Bioanalysis function, embedded within the Spatial and Quantitative Omics Group click apply for full job details
May 04, 2026
Full time
The Opportunity: LC-MS Scientist - Discovery Bioanalysis Location: Cambridge - Discovery Center Contract: Temporary (12 months) About the Role We are seeking an LC-MS Scientist to join our customer's Discovery Bioanalysis function, embedded within the Spatial and Quantitative Omics Group click apply for full job details
Talentmark are recruiting for a Laboratory Operations Support Technician to join a company in the animal health and pharmaceutical industry on a contract basis for 12 months. Salary: Up to 14.38 per hour PAYE Laboratory Operations Support Technician Role: Provide support to the laboratories Manage administration activities using Documentation Management System Raise purchase orders, complete goods receipts and approve invoices Coordinate maintenance schedules for laboratory equipment Scan and process completed plant batch production records Support scientists by managing periodic review timelines for technical documents Your Background: Previous experience working within a laboratory support or technical administration role Familiarity with Electronic Document Management Systems is preferred Able to manage administrative and laboratory-based tasks Company: Our client specialises in animal health. They advance their vision of food and companionship, enriching life by developing innovative solutions that protect and enhance animal health. Location: This role is based at our clients' site in Speke. Apply: For more information, or to apply for this Laboratory Operations Support Technician, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (phone number removed)/1495. It is essential that applicants hold entitlement to work in the UK Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
May 04, 2026
Contractor
Talentmark are recruiting for a Laboratory Operations Support Technician to join a company in the animal health and pharmaceutical industry on a contract basis for 12 months. Salary: Up to 14.38 per hour PAYE Laboratory Operations Support Technician Role: Provide support to the laboratories Manage administration activities using Documentation Management System Raise purchase orders, complete goods receipts and approve invoices Coordinate maintenance schedules for laboratory equipment Scan and process completed plant batch production records Support scientists by managing periodic review timelines for technical documents Your Background: Previous experience working within a laboratory support or technical administration role Familiarity with Electronic Document Management Systems is preferred Able to manage administrative and laboratory-based tasks Company: Our client specialises in animal health. They advance their vision of food and companionship, enriching life by developing innovative solutions that protect and enhance animal health. Location: This role is based at our clients' site in Speke. Apply: For more information, or to apply for this Laboratory Operations Support Technician, please contact the Key Accounts Team on (phone number removed) or email (url removed). Please quote reference (phone number removed)/1495. It is essential that applicants hold entitlement to work in the UK Please note: This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.
Senior Data Scientist (Biostatistics) - London (Hybrid - 2-3 days in the office) - salary £80,000 + package I'm working with a growing, AI-native consultancy who are continuing to scale following a recent acquisition, giving them strong backing, a global client base, and real momentum in the market. They deliver high-impact data and digital transformation work across complex, highly regulated indust click apply for full job details
May 04, 2026
Full time
Senior Data Scientist (Biostatistics) - London (Hybrid - 2-3 days in the office) - salary £80,000 + package I'm working with a growing, AI-native consultancy who are continuing to scale following a recent acquisition, giving them strong backing, a global client base, and real momentum in the market. They deliver high-impact data and digital transformation work across complex, highly regulated indust click apply for full job details
Health Economist (Consultant) Location - London or Winchester with a MINIMUM of 2 days per week (40%) in the office with Tuesday as the team day In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together, health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. We have built a track record for leading approaches to real world evidence generation, health economic modelling, and innovative reimbursement design. We have been growing the team quickly in response to the demand we are seeing for the service offerings we have developed and now have a team of over 50 people working across four service areas of evidence generation, HEOR, market access, and integrated omics. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. Our work LCP's Health team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining LCP's Health team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements What will you be doing? As Consultant in LCP's Health team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods People responsibilities including the line management and development of less experienced members of the team, depending on your experience and interest What skills, experience and qualities are we looking for? Essential: Demonstrable, relevant experience in a Health Economics role in a consultancy environment A minimum 2:1 degree in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics with demonstrated experience in conceptualising and delivering a range of health economic analyses Excellent communication and presentation skills (written and oral) with the ability to explain complex issues to others Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Initiative in every aspect of your work and creativity in developing original solutions to problems Comfortable leading on day-to-day project activities and managing the workload of less experienced team members Agility to be able to work as part of a dynamic, growing team seeking to advance methods and leverage evolving technology, e.g., AI Comfortable engaging in a variety of project types, including across market access and evidence generation as needed with appropriate support Comfortable managing a fluctuating workload including regular multi-tasking across client projects, project management of client engagements, and the mentoring and coordination of less experienced team members Commitment to consistently delivering high quality work for clients which may, from time to time, require extra hours to be worked Desirable: Programming experience in R or Python Experience in methods for external comparator arms (e.g. MAIC and similar methods) Experience working on HTA submissions Experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in business development activities, including proposal writing and pitch presentations What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holidayPrivate medical insuranceDiscou
May 04, 2026
Full time
Health Economist (Consultant) Location - London or Winchester with a MINIMUM of 2 days per week (40%) in the office with Tuesday as the team day In 2020 LCP launched our Heath practice, providing analytical and research services for organisations across the life sciences and healthcare industries. Our team brings together, health economists, statisticians, market access specialists, epidemiologists, clinicians, and health data scientists alongside our established actuarial, analytics and technology teams to deliver new solutions for the fundamental challenges in health. We have built a track record for leading approaches to real world evidence generation, health economic modelling, and innovative reimbursement design. We have been growing the team quickly in response to the demand we are seeing for the service offerings we have developed and now have a team of over 50 people working across four service areas of evidence generation, HEOR, market access, and integrated omics. Our team's mission is to help move health systems from importers of illness to exporters of health and to support our clients to deliver value to patients. This is underpinned by our approach to support clients to improve the population's health and reduce inequalities. Our work LCP's Health team works across the healthcare and life sciences markets, combining health expertise with innovative approaches from our work in other sectors to tackle leading health issues. Joining LCP's Health team will provide you with opportunities to work on a range of projects based on your interests and skillset. Examples of the types of projects that we undertake for our clients include: Estimating the cost effectiveness or budget impact of interventions using traditional HTA methods but also more holistically from both patients and health systems perspectives. Associated activities include: Model conceptualisation and input into evidence generation strategies Model programming including supporting input sourcing and statistical analysis Model validation and expert elicitation Reporting/publications Risk prediction and modelling Forecasting disease burden, healthcare demand (e.g., analysis of waiting list data) and cost Innovative approaches to identifying and quantifying unmet need and inequalities Market access landscape and strategy Data landscaping and evidence generation strategy Real world evidence studies using electronic healthcare records, registries, biobanks and databases Design and simulation of reimbursement models including outcome-based agreements What will you be doing? As Consultant in LCP's Health team you will be involved in a diverse range of projects, covering both client and non-client work. Your key responsibilities will be to: Lead projects day-to-day including coordination and project management of internal delivery teams alongside client-facing coordination of projects Design solutions to the complex problems our clients in the healthcare and life sciences industry face and present these solutions in an accessible manner Demonstrate a high level of expertise in health economic approaches and methods People responsibilities including the line management and development of less experienced members of the team, depending on your experience and interest What skills, experience and qualities are we looking for? Essential: Demonstrable, relevant experience in a Health Economics role in a consultancy environment A minimum 2:1 degree in a numerate or science subject, and a health-related Masters degree or PhD (Health Economics, Statistics, Public Health, Epidemiology, Data Science) Excellent grounding in Health Economics with demonstrated experience in conceptualising and delivering a range of health economic analyses Excellent communication and presentation skills (written and oral) with the ability to explain complex issues to others Excellent Microsoft Office skills, highly competent in the use of Outlook, Excel, Word, and PowerPoint Initiative in every aspect of your work and creativity in developing original solutions to problems Comfortable leading on day-to-day project activities and managing the workload of less experienced team members Agility to be able to work as part of a dynamic, growing team seeking to advance methods and leverage evolving technology, e.g., AI Comfortable engaging in a variety of project types, including across market access and evidence generation as needed with appropriate support Comfortable managing a fluctuating workload including regular multi-tasking across client projects, project management of client engagements, and the mentoring and coordination of less experienced team members Commitment to consistently delivering high quality work for clients which may, from time to time, require extra hours to be worked Desirable: Programming experience in R or Python Experience in methods for external comparator arms (e.g. MAIC and similar methods) Experience working on HTA submissions Experience undertaking statistical analyses (e.g., survival analysis, utility analysis) to support economic evaluation Experience in business development activities, including proposal writing and pitch presentations What's in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: Hybrid working (see top of the advert for details) Professional study support (where applicable) Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks For your family: Life assurance Income protection Enhanced maternity/paternity/adoption and shared parental leave For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holidayPrivate medical insuranceDiscou
ROYAL COLLEGE OF PATHOLOGISTS
Tower Hamlets, London
About you An experienced leader with a track record of delivering complex programmes of work, ideally within in a healthcare setting. You excel at driving improvement and managing high-performing teams. You combine a strategic mindset with the ability to translate complex data into the clear insights needed for effective advocacy and decision-making. A natural collaborator, you build influential relationships with senior clinicians, volunteers, and external partners to support meaningful change. If you are ready to turn ambitious plans into action, this is your chance to shape the future of pathology-ensuring the sector has the intelligence and resources it needs to deliver excellent patient care. About the College The Royal College of Pathologists is a professional membership organisation with charitable status concerned with all matters relating to the science and practice of pathology. It is a body of its Fellows, Diplomates, Affiliates and trainees, supported by the staff who are based at the College's London offices. The College is a charity with over 13000 members worldwide. The majority of members are doctors and scientists working in hospitals and universities in the UK. The College oversees the training of pathologists and scientists working in 17 different specialties, which include cellular pathology, haematology, clinical biochemistry and medical microbiology. Although some pathologists work in laboratories, many work directly with patients in hospitals and the community. Together, they are involved in the majority of all diagnoses and play an important role in disease prevention, treatment, and monitoring. If you have ever had a blood test, cervical smear or tissue biopsy, a pathologist will have been involved in your care. The Royal College of Pathologists understands the value and strength that diversity brings and we are proud to be an organisation of members from a wide range of backgrounds. We are keen to encourage and enable more people of all identities and from all backgrounds to become involved in the College. Interviews currently expected to be 27 and 28 May 2026. We reserve the right to close the position early if we receive a large number of suitable applications.
May 04, 2026
Full time
About you An experienced leader with a track record of delivering complex programmes of work, ideally within in a healthcare setting. You excel at driving improvement and managing high-performing teams. You combine a strategic mindset with the ability to translate complex data into the clear insights needed for effective advocacy and decision-making. A natural collaborator, you build influential relationships with senior clinicians, volunteers, and external partners to support meaningful change. If you are ready to turn ambitious plans into action, this is your chance to shape the future of pathology-ensuring the sector has the intelligence and resources it needs to deliver excellent patient care. About the College The Royal College of Pathologists is a professional membership organisation with charitable status concerned with all matters relating to the science and practice of pathology. It is a body of its Fellows, Diplomates, Affiliates and trainees, supported by the staff who are based at the College's London offices. The College is a charity with over 13000 members worldwide. The majority of members are doctors and scientists working in hospitals and universities in the UK. The College oversees the training of pathologists and scientists working in 17 different specialties, which include cellular pathology, haematology, clinical biochemistry and medical microbiology. Although some pathologists work in laboratories, many work directly with patients in hospitals and the community. Together, they are involved in the majority of all diagnoses and play an important role in disease prevention, treatment, and monitoring. If you have ever had a blood test, cervical smear or tissue biopsy, a pathologist will have been involved in your care. The Royal College of Pathologists understands the value and strength that diversity brings and we are proud to be an organisation of members from a wide range of backgrounds. We are keen to encourage and enable more people of all identities and from all backgrounds to become involved in the College. Interviews currently expected to be 27 and 28 May 2026. We reserve the right to close the position early if we receive a large number of suitable applications.
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.
May 04, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll 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 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.
May 04, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you'll do Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We'd love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll 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.
