Location London, Manchester About the job Job summary The Government Digital Service (GDS) is the digital centre of government. We are responsible for setting, leading and delivering the vision for a modern digital government. Our priorities are to drive a modern digital government, by: joining up public sector services harnessing the power of AI for the public good strengthening and extending our digital and data public infrastructure elevating leadership and investing in talent funding for outcomes andprocuringfor growth and innovation committing to transparency and driving accountability We are home to the Incubator for Artificial Intelligence (I.AI), the world-leading GOV.UK and at the forefront of coordinating the UK's geospatial strategy and activity. We lead the Government Digital and Data function and champion the work of digital teams across government. We're part of the Department for Science, Innovation and Technology (DSIT) and employ more than 1,000 people all over the UK, with hubs in Manchester, London and Bristol. The Government Digital Service is where talent translates into impact. From your first day, you'll be working with some of the world's most highly-skilled digital professionals, all contributing their knowledge to make change on a national scale. Join us for rewarding work that makes a difference across the UK. You'll solve some of the nation's highest-priority digital challenges, helping millions of people access services they need. About Engineering Enablement Part of the newly formed Platform Engineering, Resilience and Cyber directorate, the Engineering Enablement programme is boosting efficiency, strengthening security, and improving developer experience by providing infrastructure, tools and standards. We've been working for some time to manage our AWS estate and establish a robust privileged access management system for our most sensitive engineering access, based on Microsoft Entra. Two roles (one Senior, one Mid) will go to our Engineering Access team. This team is rolling out a Privileged Access Management system based on Microsoft Entra across all GDS production services. The goal is a robust system fully integrated across GDS's engineering estate, reducing TOIL and human error associated with manual access management, and ensuring engineering productivity. The third role (Senior) will go to our Cloud Platform team . The cloud platform team currently own and operate our AWS estate, and over the next 6-9 months will take over operational responsibility for the Azure Landing zone developed as part of the Engineering Access work. Your role will be to provide Azure experience and expertise to support the team in this journey. Job description As an Site Reliability Engineer (Platform/Identity/Azure) you will: be part of a multidisciplinary team implementing and supporting our Azure cloud platform or Entra ID identity and access management system write infrastructure as code using terraform to ensure our infrastructure is consistent, reusable and reliable deploy and configure observability tools to enable our teams to identify and respond to operational issues quickly and effectively build CI/CD pipelines to enable the team to get code into production quickly and reliably provide day-to-day support for our platforms and tools to ensure they remain available, secure and robust participate in on-call rotations when necessary solve complex and interesting problems share your knowledge and expertise with your peers and the wider team to drive consistency and develop a culture of openness and learning In addition to the above, as a Senior Site Reliability Engineer, you will: line manage 1-2 technologists, supporting their growth and development provide technical leadership within a team, working with other team members to identify the best approaches and solutions Read about a day in the life of a GDS Site Reliability Engineer on the GDS blog, and watch our video about Becoming a site reliability engineer at GDS . Person specification We're interested in people who have: strong experience with cloud services, architecture and best practices in Microsoft Azure strong experience designing and implementing identity and access management systems using Entra ID, including Conditional Access, PIM and SCIM a Platform Engineering mindset, with a proficiency in designing and implementing scalable, resilient, and secure cloud platforms strong preference for infrastructure-as-code and automation using tools like Terraform experience of using container orchestration systems such as Kubernetes, AKS or serverless application design experience supporting large production services proficiency in at least one programming language (we use Ruby, Typescript, and Python) strong understanding of version control using Git experience of creating pipelines in a CI/CD tool like Github Actions or AWS Codepipeline a strong understanding of security principles and how to keep large operational services secure In addition to the above, as a Senior Site Reliability Engineer you will have: experience of technical leadership, for example acting as a tech lead for a team or leading a technical initiative experience of line management, mentoring or coaching If you meet a few of those criteria but think that you might not meet every last one then don't let that stop you from submitting an application.
Aug 24, 2026
Full time
Location London, Manchester About the job Job summary The Government Digital Service (GDS) is the digital centre of government. We are responsible for setting, leading and delivering the vision for a modern digital government. Our priorities are to drive a modern digital government, by: joining up public sector services harnessing the power of AI for the public good strengthening and extending our digital and data public infrastructure elevating leadership and investing in talent funding for outcomes andprocuringfor growth and innovation committing to transparency and driving accountability We are home to the Incubator for Artificial Intelligence (I.AI), the world-leading GOV.UK and at the forefront of coordinating the UK's geospatial strategy and activity. We lead the Government Digital and Data function and champion the work of digital teams across government. We're part of the Department for Science, Innovation and Technology (DSIT) and employ more than 1,000 people all over the UK, with hubs in Manchester, London and Bristol. The Government Digital Service is where talent translates into impact. From your first day, you'll be working with some of the world's most highly-skilled digital professionals, all contributing their knowledge to make change on a national scale. Join us for rewarding work that makes a difference across the UK. You'll solve some of the nation's highest-priority digital challenges, helping millions of people access services they need. About Engineering Enablement Part of the newly formed Platform Engineering, Resilience and Cyber directorate, the Engineering Enablement programme is boosting efficiency, strengthening security, and improving developer experience by providing infrastructure, tools and standards. We've been working for some time to manage our AWS estate and establish a robust privileged access management system for our most sensitive engineering access, based on Microsoft Entra. Two roles (one Senior, one Mid) will go to our Engineering Access team. This team is rolling out a Privileged Access Management system based on Microsoft Entra across all GDS production services. The goal is a robust system fully integrated across GDS's engineering estate, reducing TOIL and human error associated with manual access management, and ensuring engineering productivity. The third role (Senior) will go to our Cloud Platform team . The cloud platform team currently own and operate our AWS estate, and over the next 6-9 months will take over operational responsibility for the Azure Landing zone developed as part of the Engineering Access work. Your role will be to provide Azure experience and expertise to support the team in this journey. Job description As an Site Reliability Engineer (Platform/Identity/Azure) you will: be part of a multidisciplinary team implementing and supporting our Azure cloud platform or Entra ID identity and access management system write infrastructure as code using terraform to ensure our infrastructure is consistent, reusable and reliable deploy and configure observability tools to enable our teams to identify and respond to operational issues quickly and effectively build CI/CD pipelines to enable the team to get code into production quickly and reliably provide day-to-day support for our platforms and tools to ensure they remain available, secure and robust participate in on-call rotations when necessary solve complex and interesting problems share your knowledge and expertise with your peers and the wider team to drive consistency and develop a culture of openness and learning In addition to the above, as a Senior Site Reliability Engineer, you will: line manage 1-2 technologists, supporting their growth and development provide technical leadership within a team, working with other team members to identify the best approaches and solutions Read about a day in the life of a GDS Site Reliability Engineer on the GDS blog, and watch our video about Becoming a site reliability engineer at GDS . Person specification We're interested in people who have: strong experience with cloud services, architecture and best practices in Microsoft Azure strong experience designing and implementing identity and access management systems using Entra ID, including Conditional Access, PIM and SCIM a Platform Engineering mindset, with a proficiency in designing and implementing scalable, resilient, and secure cloud platforms strong preference for infrastructure-as-code and automation using tools like Terraform experience of using container orchestration systems such as Kubernetes, AKS or serverless application design experience supporting large production services proficiency in at least one programming language (we use Ruby, Typescript, and Python) strong understanding of version control using Git experience of creating pipelines in a CI/CD tool like Github Actions or AWS Codepipeline a strong understanding of security principles and how to keep large operational services secure In addition to the above, as a Senior Site Reliability Engineer you will have: experience of technical leadership, for example acting as a tech lead for a team or leading a technical initiative experience of line management, mentoring or coaching If you meet a few of those criteria but think that you might not meet every last one then don't let that stop you from submitting an application.
Own the technology strategy, roadmap, and end-to-end delivery for the Case Management, pKYC, and pKYB domain. Provide leadership across the TSB Migration Programme, ensuring successful delivery and operational readiness. Lead multiple engineering teams, suppliers and technology partners to deliver complex regulatory and business outcomes. Provide governance, risk management, and executive reporting across the technology domain. Partner with Financial Crime Operations, Compliance, Architecture, Data, and Product teams to define strategic priorities. Drive platform resilience, service performance, and continuous improvement. Champion engineering excellence, innovation, and people leadership across the domain. Requirements Experience in Financial Crime, KYC, KYB, AML or Case Management platforms. Experience owning technology strategy, roadmap, and delivery for enterprise platforms. Experience leading complex transformation or migration programmes with multiple stakeholders and suppliers. Degree or equivalent higher education qualification in Computer Science, Information Technology, Engineering, Business or a related discipline. Technology strategy and architecture. Large-scale programme delivery and governance. Financial Crime technology including KYC/KYB/Case Management. Vendor and supplier management. Agile delivery and engineering leadership. Core Competencies Demonstrates expertise in technology strategy, roadmap development, and end-to-end delivery within the Financial Crime domain, particularly in KYC, KYB, and Case Management. Proven ability to lead complex transformation programmes, ensuring operational readiness and governance across multiple stakeholders. Highest-signal resume keywords Technology Strategy KYC/KYB/Case Management Agile Delivery Large-Scale Programme Delivery Vendor Management ATS Optimization Keywords Hard Skills Technology Strategy Roadmap DevelopmentProgramme Delivery Governance Risk Management Financial Crime Technology KYC KYB Case Management Agile Methodologies Soft Skills Leadership Collaboration Innovation People Leadership Communication Certifications & Qualifications Degree in Computer Science Degree in Information Technology Degree in Engineering Degree in Business Industry Keywords Financial Crime AML Transformation Programmes Operational Readiness Service Performance
Aug 24, 2026
Full time
Own the technology strategy, roadmap, and end-to-end delivery for the Case Management, pKYC, and pKYB domain. Provide leadership across the TSB Migration Programme, ensuring successful delivery and operational readiness. Lead multiple engineering teams, suppliers and technology partners to deliver complex regulatory and business outcomes. Provide governance, risk management, and executive reporting across the technology domain. Partner with Financial Crime Operations, Compliance, Architecture, Data, and Product teams to define strategic priorities. Drive platform resilience, service performance, and continuous improvement. Champion engineering excellence, innovation, and people leadership across the domain. Requirements Experience in Financial Crime, KYC, KYB, AML or Case Management platforms. Experience owning technology strategy, roadmap, and delivery for enterprise platforms. Experience leading complex transformation or migration programmes with multiple stakeholders and suppliers. Degree or equivalent higher education qualification in Computer Science, Information Technology, Engineering, Business or a related discipline. Technology strategy and architecture. Large-scale programme delivery and governance. Financial Crime technology including KYC/KYB/Case Management. Vendor and supplier management. Agile delivery and engineering leadership. Core Competencies Demonstrates expertise in technology strategy, roadmap development, and end-to-end delivery within the Financial Crime domain, particularly in KYC, KYB, and Case Management. Proven ability to lead complex transformation programmes, ensuring operational readiness and governance across multiple stakeholders. Highest-signal resume keywords Technology Strategy KYC/KYB/Case Management Agile Delivery Large-Scale Programme Delivery Vendor Management ATS Optimization Keywords Hard Skills Technology Strategy Roadmap DevelopmentProgramme Delivery Governance Risk Management Financial Crime Technology KYC KYB Case Management Agile Methodologies Soft Skills Leadership Collaboration Innovation People Leadership Communication Certifications & Qualifications Degree in Computer Science Degree in Information Technology Degree in Engineering Degree in Business Industry Keywords Financial Crime AML Transformation Programmes Operational Readiness Service Performance
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role We are a medical device company operating at the intersection of engineering precision and patient impact. As we grow our capabilities across the UK and US, we are looking for a Principal Talent Acquisition Partner to lead on hiring delivery, spanning hardware, software, and broader engineering disciplines critical to our product development and regulatory roadmap. This is a senior, high-autonomy role for someone who has built talent functions end to end before, not simply staffed them. You will operate as a trusted advisor to senior leadership on how we find, engage, and win the specialist and leadership talent this space demands; bringing structured market intelligence, sharp judgment on ambiguous and high-stakes searches, and the credibility to shape hiring strategy at the most senior tables in the business. You will set the standard for how the wider TA function operates: embedding rigour into our ATS and pipeline data, and partnering closely with People Operations to keep our offer and onboarding process compliant, consistent, and built to scale. Responsibilities: Act as a trusted advisor to senior leadership on talent strategy for CoMind's most complex and business-critical hires, translating ambiguous or evolving requirements into a clear hiring plan Define and embed hiring processes that scale across geographies without losing rigour, speed, or candidate experience Build long-term relationships with passive talent at leadership level Manage stakeholders across the business to triage priorities and delivery required to manage pipelines against business objectives Define and embed hiring processes that scale without losing rigour or speed Partner with hiring managers to deeply understand role requirements and team dynamics Run searches across hardware, software engineering, data science, clinical and adjacent technical disciplines Build and maintain proactive pipelines through sourcing, referrals and community engagement Conduct structured market mapping exercises for senior/leadership roles Deliver competitive intelligence and candidate landscape reports to senior stakeholders Build and maintain sourcing trackers, pipeline reports, and hiring metricsWork closely with Talent Ops to ensure offer workflows run smoothly and compliantly Collaborate with People Ops on onboarding handoffs, background check coordination, and new hire readiness Feed insights back into process improvement initiatives across the broader TA function AI is fundamental to our culture - it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 10+ years of in-house or embedded Talent Acquisition experience, including demonstrated experience operating at a senior or principal level as a trusted advisor to leadership A strong track record recruiting across hardware, software, and broader engineering disciplines Deep expertise sourcing and engaging passive, senior, and hard-to-find talent using executive search-grade methodology Experience building or scaling a talent function, designing how hiring works, not just filling seats within an existing process Comfortable managing multi-site hiring across geographically dispersed teams, and operating with autonomy in ambiguous or fast-changing environments Meticulous about data; you keep your ATS clean, your trackers current, and your reporting honest, and you hold others to that same standard A credible, senior collaborator who understands that a great hire doesn't end at offer acceptance, and who can influence stakeholders at every level without relying on formal authority Nice to have: Experience with executive search methodology or retained search Familiarity with the London and/or South West technical talent market Deep expertise hiring in electronics, opto-electronics, FPGA/ASIC engineering, and other deeply technical hardware domains Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life insurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores
Aug 24, 2026
Full time
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role We are a medical device company operating at the intersection of engineering precision and patient impact. As we grow our capabilities across the UK and US, we are looking for a Principal Talent Acquisition Partner to lead on hiring delivery, spanning hardware, software, and broader engineering disciplines critical to our product development and regulatory roadmap. This is a senior, high-autonomy role for someone who has built talent functions end to end before, not simply staffed them. You will operate as a trusted advisor to senior leadership on how we find, engage, and win the specialist and leadership talent this space demands; bringing structured market intelligence, sharp judgment on ambiguous and high-stakes searches, and the credibility to shape hiring strategy at the most senior tables in the business. You will set the standard for how the wider TA function operates: embedding rigour into our ATS and pipeline data, and partnering closely with People Operations to keep our offer and onboarding process compliant, consistent, and built to scale. Responsibilities: Act as a trusted advisor to senior leadership on talent strategy for CoMind's most complex and business-critical hires, translating ambiguous or evolving requirements into a clear hiring plan Define and embed hiring processes that scale across geographies without losing rigour, speed, or candidate experience Build long-term relationships with passive talent at leadership level Manage stakeholders across the business to triage priorities and delivery required to manage pipelines against business objectives Define and embed hiring processes that scale without losing rigour or speed Partner with hiring managers to deeply understand role requirements and team dynamics Run searches across hardware, software engineering, data science, clinical and adjacent technical disciplines Build and maintain proactive pipelines through sourcing, referrals and community engagement Conduct structured market mapping exercises for senior/leadership roles Deliver competitive intelligence and candidate landscape reports to senior stakeholders Build and maintain sourcing trackers, pipeline reports, and hiring metricsWork closely with Talent Ops to ensure offer workflows run smoothly and compliantly Collaborate with People Ops on onboarding handoffs, background check coordination, and new hire readiness Feed insights back into process improvement initiatives across the broader TA function AI is fundamental to our culture - it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 10+ years of in-house or embedded Talent Acquisition experience, including demonstrated experience operating at a senior or principal level as a trusted advisor to leadership A strong track record recruiting across hardware, software, and broader engineering disciplines Deep expertise sourcing and engaging passive, senior, and hard-to-find talent using executive search-grade methodology Experience building or scaling a talent function, designing how hiring works, not just filling seats within an existing process Comfortable managing multi-site hiring across geographically dispersed teams, and operating with autonomy in ambiguous or fast-changing environments Meticulous about data; you keep your ATS clean, your trackers current, and your reporting honest, and you hold others to that same standard A credible, senior collaborator who understands that a great hire doesn't end at offer acceptance, and who can influence stakeholders at every level without relying on formal authority Nice to have: Experience with executive search methodology or retained search Familiarity with the London and/or South West technical talent market Deep expertise hiring in electronics, opto-electronics, FPGA/ASIC engineering, and other deeply technical hardware domains Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life insurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores
Principal C# Developer / Engineer (C# .Net AWS Python) London / WFH to £120k Would you like to join a growing and profitable scale-up that is viewed as a leading FinTech disruptor in a senior role that will allow you a great deal of influence and progression? As a Principal C# Developer you will architect and build highly performant and scalable solutions using the Microsoft tech stack and SOLID design principles, collaborating with cross functional Agile project teams in 2 week Sprints, you'll be an advocate of best practice and ensure software is delivered to schedule. There's a host of new features and development work and you'll also help to drive the adoption of AI within the business, introducing things like chat bots and exploring the use of AI to make process improvements. This is an impactful role where you'll report into and collaborate with the CTO, you'll have a lot of visibility and quickly see the results of your work. Location / WFH: There's a hybrid policy, with two days in the brand new London offices and flexibility to work from home two days a week (Thursdays and Fridays). About you: You are an experienced Software Developer / Engineer with a strong knowledge of modern best practice You have strong C# backend development skills, ideally also Python coding skills You have a good knowledge of AWS You have experience of working on highly scalable systems You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns You have experience with, or a strong interest in Artificial Intelligence and are keen to explore the possibilities further e.g. ChatGPT, Claude, Cursor, Copilot You have strong analysis and problem solving skills alongside organisation and planning abilities You have business acumen and advanced communication / stakeholder management skills What's in it for you: As a Principal C# Developer you will earn a competitive package including: Salary to £120k Bonus (c20%) Pension (5% employer contribution) 25 days holiday (increasing to 27 after two years and 30 after) Life Assurance (4x base salary) Employee Assistance Programme Range of training, career development and supported learning Impactful role working on cutting edge technology Apply now to find out more about this Principal C# Developer / Engineer (.Net AWS Python) opportunity.
Aug 24, 2026
Full time
Principal C# Developer / Engineer (C# .Net AWS Python) London / WFH to £120k Would you like to join a growing and profitable scale-up that is viewed as a leading FinTech disruptor in a senior role that will allow you a great deal of influence and progression? As a Principal C# Developer you will architect and build highly performant and scalable solutions using the Microsoft tech stack and SOLID design principles, collaborating with cross functional Agile project teams in 2 week Sprints, you'll be an advocate of best practice and ensure software is delivered to schedule. There's a host of new features and development work and you'll also help to drive the adoption of AI within the business, introducing things like chat bots and exploring the use of AI to make process improvements. This is an impactful role where you'll report into and collaborate with the CTO, you'll have a lot of visibility and quickly see the results of your work. Location / WFH: There's a hybrid policy, with two days in the brand new London offices and flexibility to work from home two days a week (Thursdays and Fridays). About you: You are an experienced Software Developer / Engineer with a strong knowledge of modern best practice You have strong C# backend development skills, ideally also Python coding skills You have a good knowledge of AWS You have experience of working on highly scalable systems You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns You have experience with, or a strong interest in Artificial Intelligence and are keen to explore the possibilities further e.g. ChatGPT, Claude, Cursor, Copilot You have strong analysis and problem solving skills alongside organisation and planning abilities You have business acumen and advanced communication / stakeholder management skills What's in it for you: As a Principal C# Developer you will earn a competitive package including: Salary to £120k Bonus (c20%) Pension (5% employer contribution) 25 days holiday (increasing to 27 after two years and 30 after) Life Assurance (4x base salary) Employee Assistance Programme Range of training, career development and supported learning Impactful role working on cutting edge technology Apply now to find out more about this Principal C# Developer / Engineer (.Net AWS Python) opportunity.
Junior Software Engineer / Developer (C++ Windows) Cambridge to £40k Are you a bright, ambitious Software Engineer with a strong grounding in Computer Science combined with commercial C++ development experience? You could be progressing your career at a small, specialist Medical Technology company that produce medical research software and applications. As a Junior Software Engineer you will design, develop and maintain new features and enhancements on the core products, written in C++, running on Windows, as well as working on data importers. You'll have exposure across the development lifecycle including assisting with testing of new software releases. There's a small team environment where you learn and develop your skills. Location: You'll be based at the North Cambridge office on a fulltime basis, Monday to Friday - there is parking available and a train station within a 15 minute walk, there's also secure bike storage. About you: You are degree educated, Computer Science (or closely related discipline preferred), with a good understanding of mathematics You have commercial C++ development experience (this may have been gained as an internship or placement) You have a thorough understanding of CompSci fundamentals such as OOP, data Structures, Design Patters, Algorithms You are collaborative and enjoy problem solving What's in it for you: As a Junior Software Engineer / Developer (C++ Windows) you will receive: Salary to £40k Pension Free onsite parking Apply now to find out more about this Junior Software Engineer / Developer (C++ Windows) opportunity.
Aug 24, 2026
Full time
Junior Software Engineer / Developer (C++ Windows) Cambridge to £40k Are you a bright, ambitious Software Engineer with a strong grounding in Computer Science combined with commercial C++ development experience? You could be progressing your career at a small, specialist Medical Technology company that produce medical research software and applications. As a Junior Software Engineer you will design, develop and maintain new features and enhancements on the core products, written in C++, running on Windows, as well as working on data importers. You'll have exposure across the development lifecycle including assisting with testing of new software releases. There's a small team environment where you learn and develop your skills. Location: You'll be based at the North Cambridge office on a fulltime basis, Monday to Friday - there is parking available and a train station within a 15 minute walk, there's also secure bike storage. About you: You are degree educated, Computer Science (or closely related discipline preferred), with a good understanding of mathematics You have commercial C++ development experience (this may have been gained as an internship or placement) You have a thorough understanding of CompSci fundamentals such as OOP, data Structures, Design Patters, Algorithms You are collaborative and enjoy problem solving What's in it for you: As a Junior Software Engineer / Developer (C++ Windows) you will receive: Salary to £40k Pension Free onsite parking Apply now to find out more about this Junior Software Engineer / Developer (C++ Windows) opportunity.
Location: Manchester, UK (Manchester Science Park) - with frequent travel (including to Houston, Texas, USA) Reports to: Chief Scientific Officer (Project Director), with day-to-day technical liaison to the Technical Director Contract: Permanent, full-time Start date: September 2026, or by negotiation to accommodate PhD completion Salary: Dependent on experience Funding: Year 1 funded through the Innovate UK Biomedical Catalyst Post-Accelerator grant (ATC-Heart project); ScubaTx intends this to be an ongoing, permanent role supporting continued US commercial deployment beyond the grant period Role Purpose ScubaTx's Active Temperature Control (ATC-Heart) platform is moving from laboratory-validated device into real-world deployment with an Organ Procurement Organisation (OPO) and clinical partners in Houston, Texas. The Medical Liaison Scientist (MLS) will be ScubaTx's dedicated, on-the-ground representative for this deployment: coordinating day-to-day activity with LifeGift and Houston-based clinicians, translating technical and clinical performance into commercial value, and ensuring the system integrates smoothly into existing OPO and transplant workflows. This is a new, dedicated role rather than an extension of an existing one. The project requires sustained, continuous on-the-ground presence in Houston throughout the real-world deployment phase - a level of engagement that cannot be provided alongside the existing part-time, ad hoc or strategic-oversight commitments of the CEO, CSO and Technical Director. Key Responsibilities 1. Real-world deployment support Coordinate day-to-day logistics of ATC-Heart deployment with LifeGift (Houston OPO) and Texas-based clinical partners (Texas Heart Institute, Texas A&M/EnMed). Provide on-site training and workflow-integration support for OPO recovery teams and transplant clinicians, working with the Technical Director on device troubleshooting where required. Monitor, record and quality-check device performance, reliability and usability data generated during real-world transport and preservation. Support ScubaTx's relationships with OPO staff, transplant surgeons and coordinators, serving as an accessible and professional day-to-day contact throughout the project. Build and maintain relationships with Houston-based clinicians and OPO leadership, representing ScubaTx professionally at customer sites. Maintain a clear feedback loop between the field and the UK technical and commercial teams. 3. Data analysis & customer value modelling Support structured customer insight gathering (workflow requirements, adoption criteria, procurement decision drivers). Analyse real-world performance and usability data generated during deployment. Contribute data collection and analysis in support of the quantified customer value model, working under the direction of the Project Director. 4. Reporting, training & dissemination Produce regular field reports and contribute to milestone and stage-gate reporting to the Project Director. Support development of customer-facing training materials and clinician communication resources. Contribute to conference presentations and publications of project findings (e.g. ISHLT, AOPO), subject to commercial confidentiality. Prepare and maintain product materials for clinical interactions, including leaflets, slide decks and other resources to support customer-facing activities. Support the design and execution of further evidence-generating initiatives as identified by the Project Director. Assist in drafting and reviewing publications and scientific communications in collaboration with clinicians and academic scientists. Travel Requirements This role is based in ScubaTx's Manchester office but requires frequent travel to Houston, Texas, concentrated during the real-world deployment phase of the project (approximately November 2026 - June 2027): During the deployment phase: on-the-ground presence in Houston of approximately one week in every four to six weeks, with more frequent trips around key training and deployment milestones. Before and after this window: shorter, more occasional visits for relationship-building, planning and follow-up. Occasional additional travel to other US sites or relevant conferences as required. Candidates must be able to travel to, and undertake business activity in, the United States (e.g. via ESTA/B-1 or equivalent business travel authorisation). Person Specification Degree (BSc, MSc, or PhD, including candidates in the final stages of thesis completion) in a relevant life sciences, biomedical engineering, clinical or related discipline. Experience in a clinical, medical device or life-sciences commercial environment, ideally involving direct interaction with clinicians, hospital or procurement staff. Relevant doctoral research experience in a life sciences or clinical context will be considered equivalent. Strong data analysis skills (e.g. Excel and/or statistical software), with the ability to translate technical and clinical data into clear commercial insight. Excellent written and verbal communication skills, comfortable liaising confidently with senior clinicians and OPO leadership. Willingness and ability to travel frequently and independently to the USA, as set out above. Self-motivated and comfortable operating with significant autonomy while based remotely from the core UK team. Familiarity with organ transplantation, organ preservation, or OPO operations. Experience with medical device field deployment, clinical evaluations, or post-market surveillance. Understanding of US healthcare and transplant procurement/reimbursement pathways. Prior experience supporting an early-stage or scale-up medtech company. About ScubaTx ScubaTx is a Manchester- and Houston-based medical device company developing the Active Temperature Control (ATC) platform: a reusable, plug-and-play system that actively regulates and maintains precise, tuneable temperatures for donor organs during transport, alongside proprietary oxygen persufflation technology. ATC-Heart, the company's first product application, is approaching FDA 510(k) submission and initial US commercial deployment. This role is central to that transition from late-stage development into real-world clinical use.
Aug 24, 2026
Full time
Location: Manchester, UK (Manchester Science Park) - with frequent travel (including to Houston, Texas, USA) Reports to: Chief Scientific Officer (Project Director), with day-to-day technical liaison to the Technical Director Contract: Permanent, full-time Start date: September 2026, or by negotiation to accommodate PhD completion Salary: Dependent on experience Funding: Year 1 funded through the Innovate UK Biomedical Catalyst Post-Accelerator grant (ATC-Heart project); ScubaTx intends this to be an ongoing, permanent role supporting continued US commercial deployment beyond the grant period Role Purpose ScubaTx's Active Temperature Control (ATC-Heart) platform is moving from laboratory-validated device into real-world deployment with an Organ Procurement Organisation (OPO) and clinical partners in Houston, Texas. The Medical Liaison Scientist (MLS) will be ScubaTx's dedicated, on-the-ground representative for this deployment: coordinating day-to-day activity with LifeGift and Houston-based clinicians, translating technical and clinical performance into commercial value, and ensuring the system integrates smoothly into existing OPO and transplant workflows. This is a new, dedicated role rather than an extension of an existing one. The project requires sustained, continuous on-the-ground presence in Houston throughout the real-world deployment phase - a level of engagement that cannot be provided alongside the existing part-time, ad hoc or strategic-oversight commitments of the CEO, CSO and Technical Director. Key Responsibilities 1. Real-world deployment support Coordinate day-to-day logistics of ATC-Heart deployment with LifeGift (Houston OPO) and Texas-based clinical partners (Texas Heart Institute, Texas A&M/EnMed). Provide on-site training and workflow-integration support for OPO recovery teams and transplant clinicians, working with the Technical Director on device troubleshooting where required. Monitor, record and quality-check device performance, reliability and usability data generated during real-world transport and preservation. Support ScubaTx's relationships with OPO staff, transplant surgeons and coordinators, serving as an accessible and professional day-to-day contact throughout the project. Build and maintain relationships with Houston-based clinicians and OPO leadership, representing ScubaTx professionally at customer sites. Maintain a clear feedback loop between the field and the UK technical and commercial teams. 3. Data analysis & customer value modelling Support structured customer insight gathering (workflow requirements, adoption criteria, procurement decision drivers). Analyse real-world performance and usability data generated during deployment. Contribute data collection and analysis in support of the quantified customer value model, working under the direction of the Project Director. 4. Reporting, training & dissemination Produce regular field reports and contribute to milestone and stage-gate reporting to the Project Director. Support development of customer-facing training materials and clinician communication resources. Contribute to conference presentations and publications of project findings (e.g. ISHLT, AOPO), subject to commercial confidentiality. Prepare and maintain product materials for clinical interactions, including leaflets, slide decks and other resources to support customer-facing activities. Support the design and execution of further evidence-generating initiatives as identified by the Project Director. Assist in drafting and reviewing publications and scientific communications in collaboration with clinicians and academic scientists. Travel Requirements This role is based in ScubaTx's Manchester office but requires frequent travel to Houston, Texas, concentrated during the real-world deployment phase of the project (approximately November 2026 - June 2027): During the deployment phase: on-the-ground presence in Houston of approximately one week in every four to six weeks, with more frequent trips around key training and deployment milestones. Before and after this window: shorter, more occasional visits for relationship-building, planning and follow-up. Occasional additional travel to other US sites or relevant conferences as required. Candidates must be able to travel to, and undertake business activity in, the United States (e.g. via ESTA/B-1 or equivalent business travel authorisation). Person Specification Degree (BSc, MSc, or PhD, including candidates in the final stages of thesis completion) in a relevant life sciences, biomedical engineering, clinical or related discipline. Experience in a clinical, medical device or life-sciences commercial environment, ideally involving direct interaction with clinicians, hospital or procurement staff. Relevant doctoral research experience in a life sciences or clinical context will be considered equivalent. Strong data analysis skills (e.g. Excel and/or statistical software), with the ability to translate technical and clinical data into clear commercial insight. Excellent written and verbal communication skills, comfortable liaising confidently with senior clinicians and OPO leadership. Willingness and ability to travel frequently and independently to the USA, as set out above. Self-motivated and comfortable operating with significant autonomy while based remotely from the core UK team. Familiarity with organ transplantation, organ preservation, or OPO operations. Experience with medical device field deployment, clinical evaluations, or post-market surveillance. Understanding of US healthcare and transplant procurement/reimbursement pathways. Prior experience supporting an early-stage or scale-up medtech company. About ScubaTx ScubaTx is a Manchester- and Houston-based medical device company developing the Active Temperature Control (ATC) platform: a reusable, plug-and-play system that actively regulates and maintains precise, tuneable temperatures for donor organs during transport, alongside proprietary oxygen persufflation technology. ATC-Heart, the company's first product application, is approaching FDA 510(k) submission and initial US commercial deployment. This role is central to that transition from late-stage development into real-world clinical use.
Data Insights Engineer - Azure, Python & Power BI Position Description At CGI, data is at the heart of helping organisations make smarter decisions and deliver better outcomes. As a Data Insights Engineer, you'll design and deliver modern data solutions that transform complex information into trusted, actionable insights. Working alongside business stakeholders, architects and engineering teams, you'll develop scalable cloud-based data products that improve decision-making, enhance operational performance and create lasting value for our clients. You'll have the opportunity to work with leading Azure technologies, contribute innovative ideas and develop your expertise within a collaborative environment that empowers you to make a real impact. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will design, develop and deliver scalable data solutions that enable clients to unlock the full value of their data. You'll build robust data pipelines, develop cloud-based data models and create intuitive dashboards that provide meaningful insights to support strategic and operational decision-making. Working closely with business stakeholders, you'll translate complex requirements into practical, high-quality solutions that improve reporting, analytics and business performance. You'll collaborate with architects, software engineers and platform teams throughout the solution lifecycle, from requirements gathering and technical design through to deployment and continuous improvement. You'll also help strengthen data governance, improve data quality and identify opportunities to modernise data platforms using emerging technologies and engineering best practices. Key responsibilities • Design & develop scalable data pipelines and cloud-based data solutions • Build & maintain ETL/ELT processes to support reporting and analytics • Develop & optimise data models for trusted business insights • Analyse & transform complex datasets to improve data quality and usability • Create & enhance interactive dashboards and visualisations using Power BI • Collaborate & engage with stakeholders to understand business requirements and translate them into technical solutions • Support & contribute to solution architecture, data integration and technical design • Produce & maintain technical documentation throughout the delivery lifecycle • Participate & contribute to Agile delivery, DevOps and CI/CD practices • Improve & promote data governance, metadata and information management standards • Evaluate & recommend new technologies and approaches to enhance data engineering capabilities • Monitor & optimise data products to ensure performance, reliability and business value Required qualifications to be successful in this role You'll be an experienced data professional with a passion for building modern cloud-based data solutions that deliver meaningful business insights. You'll combine strong technical expertise with excellent communication skills, enabling you to work effectively with both technical teams and business stakeholders. A proactive mindset, attention to detail and enthusiasm for continuous learning will help you thrive in this role. Essential qualifications • Experience designing and delivering data engineering or analytics solutions • Strong Python skills (including Pandas, Flask and/or FastAPI) • Strong SQL skills and experience working with relational databases • Experience developing ETL/ELT pipelines and data transformation processes • Experience with Microsoft Azure or equivalent cloud data platforms • Experience developing dashboards and reports using Power BI • Experience using Git and Azure DevOps • Experience gathering business requirements and translating them into technical solutions • Strong analytical, problem-solving and communication skills • Experience working within Agile delivery teams and DevOps practices • Degree in Computer Science, Data Science, Information Systems, Engineering or equivalent practical experience Desirable qualifications • Azure Blob Storage and/or Azure Data Lake Storage (ADLS) • Azure Application Insights • dbt • Snowflake • DataOps or GitLab experience • Knowledge of data lakes, data warehouses and data fabric architectures • Understanding of data governance, metadata and information management • Azure, Snowflake or Power BI certifications Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team-one of the largest IT and business consulting services firms in the world.
Aug 24, 2026
Full time
Data Insights Engineer - Azure, Python & Power BI Position Description At CGI, data is at the heart of helping organisations make smarter decisions and deliver better outcomes. As a Data Insights Engineer, you'll design and deliver modern data solutions that transform complex information into trusted, actionable insights. Working alongside business stakeholders, architects and engineering teams, you'll develop scalable cloud-based data products that improve decision-making, enhance operational performance and create lasting value for our clients. You'll have the opportunity to work with leading Azure technologies, contribute innovative ideas and develop your expertise within a collaborative environment that empowers you to make a real impact. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will design, develop and deliver scalable data solutions that enable clients to unlock the full value of their data. You'll build robust data pipelines, develop cloud-based data models and create intuitive dashboards that provide meaningful insights to support strategic and operational decision-making. Working closely with business stakeholders, you'll translate complex requirements into practical, high-quality solutions that improve reporting, analytics and business performance. You'll collaborate with architects, software engineers and platform teams throughout the solution lifecycle, from requirements gathering and technical design through to deployment and continuous improvement. You'll also help strengthen data governance, improve data quality and identify opportunities to modernise data platforms using emerging technologies and engineering best practices. Key responsibilities • Design & develop scalable data pipelines and cloud-based data solutions • Build & maintain ETL/ELT processes to support reporting and analytics • Develop & optimise data models for trusted business insights • Analyse & transform complex datasets to improve data quality and usability • Create & enhance interactive dashboards and visualisations using Power BI • Collaborate & engage with stakeholders to understand business requirements and translate them into technical solutions • Support & contribute to solution architecture, data integration and technical design • Produce & maintain technical documentation throughout the delivery lifecycle • Participate & contribute to Agile delivery, DevOps and CI/CD practices • Improve & promote data governance, metadata and information management standards • Evaluate & recommend new technologies and approaches to enhance data engineering capabilities • Monitor & optimise data products to ensure performance, reliability and business value Required qualifications to be successful in this role You'll be an experienced data professional with a passion for building modern cloud-based data solutions that deliver meaningful business insights. You'll combine strong technical expertise with excellent communication skills, enabling you to work effectively with both technical teams and business stakeholders. A proactive mindset, attention to detail and enthusiasm for continuous learning will help you thrive in this role. Essential qualifications • Experience designing and delivering data engineering or analytics solutions • Strong Python skills (including Pandas, Flask and/or FastAPI) • Strong SQL skills and experience working with relational databases • Experience developing ETL/ELT pipelines and data transformation processes • Experience with Microsoft Azure or equivalent cloud data platforms • Experience developing dashboards and reports using Power BI • Experience using Git and Azure DevOps • Experience gathering business requirements and translating them into technical solutions • Strong analytical, problem-solving and communication skills • Experience working within Agile delivery teams and DevOps practices • Degree in Computer Science, Data Science, Information Systems, Engineering or equivalent practical experience Desirable qualifications • Azure Blob Storage and/or Azure Data Lake Storage (ADLS) • Azure Application Insights • dbt • Snowflake • DataOps or GitLab experience • Knowledge of data lakes, data warehouses and data fabric architectures • Understanding of data governance, metadata and information management • Azure, Snowflake or Power BI certifications Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team-one of the largest IT and business consulting services firms in the world.
Data Science Manager - Merchants Team Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning. We’re hiring a Data Science Manager to join our Merchants team. Merchants are central to Deliveroo’s marketplace: they drive selection, order volume and a significant proportion of the value created across the business. You’ll lead a team focused on helping Deliveroo acquire, onboard, support and retain the right merchant partners. You’ll work across a broad set of merchant problems, from identifying the restaurants, grocers and retailers we should partner with, to improving order management, reducing merchant defects and helping partners manage their business more effectively through self-serve tools and communications. This role is based in London and sits within the wider Merchants Data Science team. You’ll report to a Senior Data Science Manager and partner closely with Product, Engineering, Strategy, Operations and Commercial teams. What You’ll Be Doing You’ll own the analytical direction and measurable impact of a defined area within Merchants, while leading and developing a team of approximately four to seven data scientists. The team already has several data scientists in place and is continuing to grow. You’ll help shape that growth, build a high-performing team and bring structure to a fast-moving and ambiguous environment. Depending on the final scope, your team may work across areas such as: merchant acquisition and onboarding, including identifying the most valuable restaurants, grocers and retailers to partner with; improving models used to understand restaurant, grocery and retail supply; merchant order management and reducing defects such as missing items, inaccurate orders, menu issues and rider waiting time; merchant account management, churn and retention; self-service tools, automated communications and partner support. You’ll identify high-value problems, guide the team’s analytical approach and ensure the work drives clear product, operational or commercial decisions. You’ll partner closely with senior stakeholders across Product, Engineering, Strategy, Operations and Commercial to shape priorities, make trade-offs and focus on the highest-impact areas. This is a hands-on management role with meaningful technical involvement. You should be comfortable getting into the detail and unblocking work, while prioritising people leadership and strategic direction. You’ll also maintain high analytical standards, delegate effectively and support team development through coaching and feedback. What You’ll Need to Thrive Our ideal candidate will bring: Experience line managing data scientists and developing high-performing teams A strong background as a senior data science individual contributor Expertise in experimentation, causal inference or applied machine learning The ability to guide technical work and translate data science into product, operational or commercial decisions Strong stakeholder management skills and confidence working with senior leaders The ability to bring structure to ambiguity, prioritise effectively and shape a clear roadmap Experience working with merchants, marketplaces, restaurants, grocery, retail or B2B products would be valuable, but is not essential. We’re more interested in your ability to solve complex, non-standard problems within a multi-sided marketplace. Why Join Us? Merchants are fundamental to Deliveroo’s success. The strength of our merchant network directly affects customer choice, order volume and the performance of the wider marketplace. In this role, you’ll work on complex, high-impact problems across product, commercial strategy and operations. You’ll have significant autonomy to shape the team’s roadmap, influence senior stakeholders and develop a growing team of strong data scientists. You’ll also have the opportunity to apply experimentation, causal inference, machine learning and AI to problems that directly affect Deliveroo’s growth, profitability and merchant experience. We’re looking for someone who is comfortable with ambiguity, can create structure where needed and can align teams around the most important problems. Diversity, Equity and Inclusion At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion or belief. If you require adjustments at any stage of the application or interview process, please let us know. We’re committed to ensuring everyone has an equitable opportunity to succeed.
Aug 24, 2026
Full time
Data Science Manager - Merchants Team Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning. We’re hiring a Data Science Manager to join our Merchants team. Merchants are central to Deliveroo’s marketplace: they drive selection, order volume and a significant proportion of the value created across the business. You’ll lead a team focused on helping Deliveroo acquire, onboard, support and retain the right merchant partners. You’ll work across a broad set of merchant problems, from identifying the restaurants, grocers and retailers we should partner with, to improving order management, reducing merchant defects and helping partners manage their business more effectively through self-serve tools and communications. This role is based in London and sits within the wider Merchants Data Science team. You’ll report to a Senior Data Science Manager and partner closely with Product, Engineering, Strategy, Operations and Commercial teams. What You’ll Be Doing You’ll own the analytical direction and measurable impact of a defined area within Merchants, while leading and developing a team of approximately four to seven data scientists. The team already has several data scientists in place and is continuing to grow. You’ll help shape that growth, build a high-performing team and bring structure to a fast-moving and ambiguous environment. Depending on the final scope, your team may work across areas such as: merchant acquisition and onboarding, including identifying the most valuable restaurants, grocers and retailers to partner with; improving models used to understand restaurant, grocery and retail supply; merchant order management and reducing defects such as missing items, inaccurate orders, menu issues and rider waiting time; merchant account management, churn and retention; self-service tools, automated communications and partner support. You’ll identify high-value problems, guide the team’s analytical approach and ensure the work drives clear product, operational or commercial decisions. You’ll partner closely with senior stakeholders across Product, Engineering, Strategy, Operations and Commercial to shape priorities, make trade-offs and focus on the highest-impact areas. This is a hands-on management role with meaningful technical involvement. You should be comfortable getting into the detail and unblocking work, while prioritising people leadership and strategic direction. You’ll also maintain high analytical standards, delegate effectively and support team development through coaching and feedback. What You’ll Need to Thrive Our ideal candidate will bring: Experience line managing data scientists and developing high-performing teams A strong background as a senior data science individual contributor Expertise in experimentation, causal inference or applied machine learning The ability to guide technical work and translate data science into product, operational or commercial decisions Strong stakeholder management skills and confidence working with senior leaders The ability to bring structure to ambiguity, prioritise effectively and shape a clear roadmap Experience working with merchants, marketplaces, restaurants, grocery, retail or B2B products would be valuable, but is not essential. We’re more interested in your ability to solve complex, non-standard problems within a multi-sided marketplace. Why Join Us? Merchants are fundamental to Deliveroo’s success. The strength of our merchant network directly affects customer choice, order volume and the performance of the wider marketplace. In this role, you’ll work on complex, high-impact problems across product, commercial strategy and operations. You’ll have significant autonomy to shape the team’s roadmap, influence senior stakeholders and develop a growing team of strong data scientists. You’ll also have the opportunity to apply experimentation, causal inference, machine learning and AI to problems that directly affect Deliveroo’s growth, profitability and merchant experience. We’re looking for someone who is comfortable with ambiguity, can create structure where needed and can align teams around the most important problems. Diversity, Equity and Inclusion At Deliveroo, we believe great workplaces reflect the world around us. We welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion or belief. If you require adjustments at any stage of the application or interview process, please let us know. We’re committed to ensuring everyone has an equitable opportunity to succeed.
Product Delivery Manager - Digital Engineering Capabilities Contract: Initial 6 Months Day Rate: Circa 600 Inside IR35 Location: Hybrid (Reading as required) Start Date: ASAP Security Clearance: Active SC clearance We are looking for an experienced Product Delivery Manager - Digital Engineering Capabilities to lead the delivery and continuous improvement of digital engineering capabilities supporting aircraft concept design, master geometry, aerodynamics, and flight dynamics. This is a strategic role at the intersection of aerospace engineering, digital engineering, and technology delivery. You will be responsible for ensuring the digital tools, environments, and processes used by engineering teams are fit for purpose, integrated, and continuously evolving to meet programme requirements. Key Responsibilities Own the delivery and continuous improvement of digital capabilities supporting air vehicle concept and configuration development. Lead the deployment, optimisation, and lifecycle management of 3D CAD, aerodynamic analysis, and configuration management environments. Develop product roadmaps, delivery plans, and prioritised backlogs aligned with engineering and programme objectives. Support the development of technical baselines, methodologies, and work instructions for digital engineering solutions. Ensure integration with the wider Digital Thread, enabling data continuity and interoperability across engineering domains and enterprise systems. Capture, challenge, and consolidate requirements from engineering teams and stakeholders. Drive adoption of new digital tools and processes through training, change management, and effective stakeholder engagement. Establish appropriate data models, naming conventions, metadata standards, and access controls. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, technical debt, risks, and dependencies across digital engineering environments. Lead incident resolution, root-cause analysis, and continuous service improvement. Support technology evaluations, proof-of-concept activity, and strategic tool selection. Manage vendor relationships, licences, performance, and delivery to ensure cost-effective and compliant solutions. Drive innovation in automation, model-based workflows, and aerodynamic simulation. Balance immediate delivery requirements with longer-term architecture, scalability, and data strategy. Skills & Experience Degree in Engineering, Computer Science, or a related technical discipline. Experience delivering digital engineering capabilities, toolchains, and lifecycle environments. Experience within the Aerospace and/or Defence industry, with an understanding of regulatory and assurance frameworks. Strong knowledge of Digital Engineering, Model-Based Engineering, and Digital Thread principles. Experience with digital environments supporting concept design, 3D CAD, master geometry, aerodynamics, and/or configuration management. Proven experience managing complex delivery involving multiple partners, suppliers, and distributed teams. Strong project, programme, or service management experience. ITIL, APM, or PRINCE2 qualifications are advantageous. Experience with SAFe or Agile delivery methodologies. Strong understanding of digital thread, digital continuity, and model-based workflows. Experience managing suppliers and system integrators for CAD, aerodynamic analysis, and configuration management platforms . Familiarity with advanced simulation environments and multidisciplinary engineering tool integration. Experience delivering digital transformation and business change within engineering organisations. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Aug 24, 2026
Contractor
Product Delivery Manager - Digital Engineering Capabilities Contract: Initial 6 Months Day Rate: Circa 600 Inside IR35 Location: Hybrid (Reading as required) Start Date: ASAP Security Clearance: Active SC clearance We are looking for an experienced Product Delivery Manager - Digital Engineering Capabilities to lead the delivery and continuous improvement of digital engineering capabilities supporting aircraft concept design, master geometry, aerodynamics, and flight dynamics. This is a strategic role at the intersection of aerospace engineering, digital engineering, and technology delivery. You will be responsible for ensuring the digital tools, environments, and processes used by engineering teams are fit for purpose, integrated, and continuously evolving to meet programme requirements. Key Responsibilities Own the delivery and continuous improvement of digital capabilities supporting air vehicle concept and configuration development. Lead the deployment, optimisation, and lifecycle management of 3D CAD, aerodynamic analysis, and configuration management environments. Develop product roadmaps, delivery plans, and prioritised backlogs aligned with engineering and programme objectives. Support the development of technical baselines, methodologies, and work instructions for digital engineering solutions. Ensure integration with the wider Digital Thread, enabling data continuity and interoperability across engineering domains and enterprise systems. Capture, challenge, and consolidate requirements from engineering teams and stakeholders. Drive adoption of new digital tools and processes through training, change management, and effective stakeholder engagement. Establish appropriate data models, naming conventions, metadata standards, and access controls. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, technical debt, risks, and dependencies across digital engineering environments. Lead incident resolution, root-cause analysis, and continuous service improvement. Support technology evaluations, proof-of-concept activity, and strategic tool selection. Manage vendor relationships, licences, performance, and delivery to ensure cost-effective and compliant solutions. Drive innovation in automation, model-based workflows, and aerodynamic simulation. Balance immediate delivery requirements with longer-term architecture, scalability, and data strategy. Skills & Experience Degree in Engineering, Computer Science, or a related technical discipline. Experience delivering digital engineering capabilities, toolchains, and lifecycle environments. Experience within the Aerospace and/or Defence industry, with an understanding of regulatory and assurance frameworks. Strong knowledge of Digital Engineering, Model-Based Engineering, and Digital Thread principles. Experience with digital environments supporting concept design, 3D CAD, master geometry, aerodynamics, and/or configuration management. Proven experience managing complex delivery involving multiple partners, suppliers, and distributed teams. Strong project, programme, or service management experience. ITIL, APM, or PRINCE2 qualifications are advantageous. Experience with SAFe or Agile delivery methodologies. Strong understanding of digital thread, digital continuity, and model-based workflows. Experience managing suppliers and system integrators for CAD, aerodynamic analysis, and configuration management platforms . Familiarity with advanced simulation environments and multidisciplinary engineering tool integration. Experience delivering digital transformation and business change within engineering organisations. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Principal Sales Executive- Trading (Portware)Applylocations: London, GBRtime type: Full timeposted on: Posted 3 Days Agojob requisition id: R32474FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. Your Team's Impact: As a Sales Executive - Trading for FactSet's EMS (Execution Management System), Portware, you are a seasoned commercial leader driving revenue retention and growth across a high-value book of business. You serve as the primary relationship owner and trusted advisor, leveraging deep industry expertise to identify, develop, and close strategic opportunities within your accounts. Partnering closely with Product, Engineering, Implementation, and Support teams, you deliver measurable client value while directly impacting FactSet's revenue growth. This role demands a proven sales professional with the technical depth, business development acumen, and consultative selling skills to retain, expand, and strategically elevate a sophisticated client base. What You'll Do Build, manage and execute on a pipeline for FactSet's Portware Enterprise offering across buy-side clients Lead the full sales cycle from prospecting and discovery through negotiation and close, partnering with Pre-Sales Engineering to assess client workflows, craft compelling proposals, and win high-value EMS deals against competitors Proactively identify and convert revenue opportunities by uncovering client pain points around execution quality, workflow inefficiencies, and connectivity gaps, positioning Portware's EMS capabilities and delivering a clear ROI narrative to senior decision-makers Build and maintain C-suite and executive-level relationships across trading desks, technology, and operations teams establishing yourself as a trusted, long-term strategic partner who understands the evolving demands of modern order and execution management. Leverage deep knowledge of market microstructure, order routing, algorithmic trading, and multi-asset execution workflows to engage credibly with heads of trading, portfolio managers, and CTOs in highly technical conversations. Stay current on industry trends including evolving best execution obligations, T+1 settlement impacts, fragmentation across lit and dark venues, and the growing role of AI and automation in trade execution - applying these insights to sharpen your competitive positioning and client conversation Mentor and inspire junior team members, modeling a high-performance, results-driven sales culture built on accountability, urgency, deep product expertise and continuous improvement. Serve as a subject matter expert on EMS capabilities, market structure, and trading workflows, leveraging your expertise to differentiate FactSet's offering in competitive situations. What We're Looking For Required Skills Bachelor's degree in Economics, Business, Computer Science, or a related field or equivalent experience. 12+ years of front-office financial markets sales experience with deep knowledge across multiple asset classes and market structures. Proven track record of building C-suite relationships and exceeding revenue targets through consultative selling and long-term account management. Demonstrated ability to close complex, high-value deals navigating multi-stakeholder buying processes across trading, technology, and operations. Experience collaborating directly with software engineers, developers, and technical architects on business requirements and solution delivery. Deep expertise in securities trading, FX or Fixed Income strongly preferred; derivatives and equities experience a strong plus. Advanced understanding of FIX protocol and its practical application across trading workflows and connectivity solutions. Comprehensive knowledge of EMS platforms and their components; OMS experience a plus Exceptional communicator with the executive presence to convey complex technical and commercial concepts to senior business and technology audiences. Ability to operate at both strategic and tactical levels - balancing high-level account planning with hands-on execution and problem-solving. What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions. Career progression plans with dedicated time each month for learning and development. Employee-led Business Resource Groups that are wholly supported by Executive Management.Learn more about our benefits here. Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career. At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more at and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
Aug 24, 2026
Full time
Principal Sales Executive- Trading (Portware)Applylocations: London, GBRtime type: Full timeposted on: Posted 3 Days Agojob requisition id: R32474FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. Your Team's Impact: As a Sales Executive - Trading for FactSet's EMS (Execution Management System), Portware, you are a seasoned commercial leader driving revenue retention and growth across a high-value book of business. You serve as the primary relationship owner and trusted advisor, leveraging deep industry expertise to identify, develop, and close strategic opportunities within your accounts. Partnering closely with Product, Engineering, Implementation, and Support teams, you deliver measurable client value while directly impacting FactSet's revenue growth. This role demands a proven sales professional with the technical depth, business development acumen, and consultative selling skills to retain, expand, and strategically elevate a sophisticated client base. What You'll Do Build, manage and execute on a pipeline for FactSet's Portware Enterprise offering across buy-side clients Lead the full sales cycle from prospecting and discovery through negotiation and close, partnering with Pre-Sales Engineering to assess client workflows, craft compelling proposals, and win high-value EMS deals against competitors Proactively identify and convert revenue opportunities by uncovering client pain points around execution quality, workflow inefficiencies, and connectivity gaps, positioning Portware's EMS capabilities and delivering a clear ROI narrative to senior decision-makers Build and maintain C-suite and executive-level relationships across trading desks, technology, and operations teams establishing yourself as a trusted, long-term strategic partner who understands the evolving demands of modern order and execution management. Leverage deep knowledge of market microstructure, order routing, algorithmic trading, and multi-asset execution workflows to engage credibly with heads of trading, portfolio managers, and CTOs in highly technical conversations. Stay current on industry trends including evolving best execution obligations, T+1 settlement impacts, fragmentation across lit and dark venues, and the growing role of AI and automation in trade execution - applying these insights to sharpen your competitive positioning and client conversation Mentor and inspire junior team members, modeling a high-performance, results-driven sales culture built on accountability, urgency, deep product expertise and continuous improvement. Serve as a subject matter expert on EMS capabilities, market structure, and trading workflows, leveraging your expertise to differentiate FactSet's offering in competitive situations. What We're Looking For Required Skills Bachelor's degree in Economics, Business, Computer Science, or a related field or equivalent experience. 12+ years of front-office financial markets sales experience with deep knowledge across multiple asset classes and market structures. Proven track record of building C-suite relationships and exceeding revenue targets through consultative selling and long-term account management. Demonstrated ability to close complex, high-value deals navigating multi-stakeholder buying processes across trading, technology, and operations. Experience collaborating directly with software engineers, developers, and technical architects on business requirements and solution delivery. Deep expertise in securities trading, FX or Fixed Income strongly preferred; derivatives and equities experience a strong plus. Advanced understanding of FIX protocol and its practical application across trading workflows and connectivity solutions. Comprehensive knowledge of EMS platforms and their components; OMS experience a plus Exceptional communicator with the executive presence to convey complex technical and commercial concepts to senior business and technology audiences. Ability to operate at both strategic and tactical levels - balancing high-level account planning with hands-on execution and problem-solving. What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions. Career progression plans with dedicated time each month for learning and development. Employee-led Business Resource Groups that are wholly supported by Executive Management.Learn more about our benefits here. Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career. At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more at and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Aug 24, 2026
Full time
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Introduction Together, we're working to welcome millions more passengers, while ensuring aviation can continue to be a force for good by leading global efforts in sustainability. At Heathrow, you can be part of this - providing solutions that make every journey better for millions each year. That means ensuring we meet the changing needs of the passengers, colleagues and partners who use our airport to work, travel, trade, shop, eat, explore and connect. Our Solutions team covers project management, process improvement, business change, technology, cyber defence, masterplanning, infrastructure and procurement. It brings together people with the skills to deliver prestigious and often large-scale projects, from transforming terminals to making big reductions in our carbon emissions. Every day will test your skills and give you the opportunity to make your mark. You might be working with the technology and data that power our city within a city, driving vital commercial agreements with everyone from retailers to airlines, or improving the unique infrastructure that includes everything from 200 buildings to 250 HV substations. It's a collaborative environment, where you can rely on the support of the experts around you as you take on projects you'll both take pride in and feel passionate about. Job Description This role shapes how data science and AI are used across Heathrow. It sets direction for enterprise analytics and AI services that support safe, efficient and reliable airport operations. The role oversees Data Science and AI services across multiple business areas. It ensures AI use is responsible, well governed and delivers clear value. It also supports senior decision making through insight and evidence. Principal Accountabilities Set the direction for data science and AI across Heathrow, aligned to business needs. Put clear AI governance, ethics and assurance arrangements in place. Ensure analytics services are reliable, secure and meet agreed service outcomes. Oversee investment, supplier arrangements and value tracking for AI and analytics. Build sustainable capability across data science, AI engineering and analytics. Qualifications, Skills and Experience Strong experience delivering data science or AI solutions at enterprise scale. Experience guiding teams that develop and deploy machine learning models. Practical knowledge of responsible AI, governance and regulatory expectations. Experience shaping strategy and turning insight into business outcomes. Experience using cloud platforms for analytics and AI workloads. Ability to explain technical ideas clearly to non technical audiences. Desirable Experience working in complex operational environments. Familiarity with production level model deployment and monitoring approaches. About us With 80 million passengers passing through our airport each year, it takes hundreds of systems, platforms and networks to keep our airport running smoothly, 24 hours a day, 365 days a year. Join us, and you'll thrive on the buzz of providing the technology, data, cyber and digital capabilities that run all the services you'd expect to see in a city - and more. Tech at Heathrow isn't typical - the scale and non-stop nature of our airport make it truly unique. Our Data, Digital and Technology team are leading the way in innovations that will make our airport more efficient, resilient and competitive, in an increasingly digital marketplace, as well as keeping Heathrow safe and secure. Every day will test your skills and give you the opportunity to make your mark. We're constantly looking for new ways to help Heathrow transform and grow, responding to the changing needs of passengers, colleagues and partner businesses. It means the chance to work on a huge variety of inspiring projects and to develop in lots of exciting directions. Our team covers technology, cyber defence, data and digital, offering one-of-a kind careers you won't find anywhere else. Apply before 28/08/2026
Aug 24, 2026
Full time
Introduction Together, we're working to welcome millions more passengers, while ensuring aviation can continue to be a force for good by leading global efforts in sustainability. At Heathrow, you can be part of this - providing solutions that make every journey better for millions each year. That means ensuring we meet the changing needs of the passengers, colleagues and partners who use our airport to work, travel, trade, shop, eat, explore and connect. Our Solutions team covers project management, process improvement, business change, technology, cyber defence, masterplanning, infrastructure and procurement. It brings together people with the skills to deliver prestigious and often large-scale projects, from transforming terminals to making big reductions in our carbon emissions. Every day will test your skills and give you the opportunity to make your mark. You might be working with the technology and data that power our city within a city, driving vital commercial agreements with everyone from retailers to airlines, or improving the unique infrastructure that includes everything from 200 buildings to 250 HV substations. It's a collaborative environment, where you can rely on the support of the experts around you as you take on projects you'll both take pride in and feel passionate about. Job Description This role shapes how data science and AI are used across Heathrow. It sets direction for enterprise analytics and AI services that support safe, efficient and reliable airport operations. The role oversees Data Science and AI services across multiple business areas. It ensures AI use is responsible, well governed and delivers clear value. It also supports senior decision making through insight and evidence. Principal Accountabilities Set the direction for data science and AI across Heathrow, aligned to business needs. Put clear AI governance, ethics and assurance arrangements in place. Ensure analytics services are reliable, secure and meet agreed service outcomes. Oversee investment, supplier arrangements and value tracking for AI and analytics. Build sustainable capability across data science, AI engineering and analytics. Qualifications, Skills and Experience Strong experience delivering data science or AI solutions at enterprise scale. Experience guiding teams that develop and deploy machine learning models. Practical knowledge of responsible AI, governance and regulatory expectations. Experience shaping strategy and turning insight into business outcomes. Experience using cloud platforms for analytics and AI workloads. Ability to explain technical ideas clearly to non technical audiences. Desirable Experience working in complex operational environments. Familiarity with production level model deployment and monitoring approaches. About us With 80 million passengers passing through our airport each year, it takes hundreds of systems, platforms and networks to keep our airport running smoothly, 24 hours a day, 365 days a year. Join us, and you'll thrive on the buzz of providing the technology, data, cyber and digital capabilities that run all the services you'd expect to see in a city - and more. Tech at Heathrow isn't typical - the scale and non-stop nature of our airport make it truly unique. Our Data, Digital and Technology team are leading the way in innovations that will make our airport more efficient, resilient and competitive, in an increasingly digital marketplace, as well as keeping Heathrow safe and secure. Every day will test your skills and give you the opportunity to make your mark. We're constantly looking for new ways to help Heathrow transform and grow, responding to the changing needs of passengers, colleagues and partner businesses. It means the chance to work on a huge variety of inspiring projects and to develop in lots of exciting directions. Our team covers technology, cyber defence, data and digital, offering one-of-a kind careers you won't find anywhere else. Apply before 28/08/2026
About Sygnature Discovery At Sygnature Discovery, we create exceptional scientific outcomes. For our customers, who bring life-changing medicines to patients; and for our people, who help make this possible. We're 700+ scientists from over 50 countries, working as one across Europe and North America. With no competing internal programs, we offer total confidentiality and commitment. Over the past 20 years, we've earned a track record of real impact: 60+ advanced candidates, 250 patents filed, 200+ active projects. Over 90% of our customers choose to stay with us - from biotechs racing to clinic to pharma companies that need specialised expertise for targeted challenges. About the role: Our Chemistry team at Alderley Park is looking for an experienced Associate Principal Scientist / Principal Scientist to join the team. We're looking for someone with significant experience leading medicinal chemistry programmes within a pharmaceutical, biotechnology or CRO environment. This is a senior and influential role where you'll help shape project strategy, develop high-performing scientists through effective mentoring and coaching, and contribute to the continued growth and success of the site. You'll work closely with colleagues across Bioscience and DMPK and other scientific disciplines to define and execute integrated project strategies. Strong experience of working within multidisciplinary drug discovery teams, influencing scientific direction and communicating effectively with both internal teams and clients, will therefore be essential. This is a fantastic opportunity to work across diverse drug discovery projects for a range of clients, offering genuine breadth and depth of scientific experience. If this sounds like the next challenge you'd like to embark on - we'd love to hear from you. Role Responsibilities: Lead and influence complex medicinal chemistry programmes, at any stage of pre-clinical development Develop high performing project teams, ensuring the delivery of excellent science and successful project outcomes. Communicate scientific strategy and key project outcomes, whilst simultaneously manage all stakeholders, both internal and external Provide leadership beyond project delivery by contributing to operational strategy, business growth, recruitment, capability development, and continuous improvement programmes across the department. Contribute to the development of high-performing scientists through effective mentoring, coaching, training, and performance management. Maintain the highest standards of laboratory practice, data integrity, health & safety, and professionalism, ensuring teams are appropriately trained, fully compliant with all relevant company policies, and consistently maintain a safe and productive working environment. Represent Sygnature externally through client engagement, scientific presentations, publications, conference participation, and professional networking activities. Skills & Qualifications: PhD in Organic Chemistry, Medicinal Chemistry, or a related discipline, or equivalent industrial experience. Proven track record of leading multidisciplinary drug discovery projects and delivering scientific success. Broad understanding of integrated drug discovery and the ability to work effectively across multiple scientific disciplines. Strong people leadership skills, with experience mentoring, coaching, and developing scientists at different career stages. Excellent communication and stakeholder management skills, with the ability to influence both scientific and non-scientific audiences. Commercial awareness and experience working with clients, supporting proposals, and contributing to business growth. Motivated, adaptable, and comfortable operating in a fast-paced and collaborative environment. Benefits 25 days annual leave (plus bank holidays) Private Medical Insurance Life Insurance Employee Assistance Programme Enhanced Family Friendly Policies Sygnature Group Pension Scheme 1 paid volunteer day per year
Aug 24, 2026
Full time
About Sygnature Discovery At Sygnature Discovery, we create exceptional scientific outcomes. For our customers, who bring life-changing medicines to patients; and for our people, who help make this possible. We're 700+ scientists from over 50 countries, working as one across Europe and North America. With no competing internal programs, we offer total confidentiality and commitment. Over the past 20 years, we've earned a track record of real impact: 60+ advanced candidates, 250 patents filed, 200+ active projects. Over 90% of our customers choose to stay with us - from biotechs racing to clinic to pharma companies that need specialised expertise for targeted challenges. About the role: Our Chemistry team at Alderley Park is looking for an experienced Associate Principal Scientist / Principal Scientist to join the team. We're looking for someone with significant experience leading medicinal chemistry programmes within a pharmaceutical, biotechnology or CRO environment. This is a senior and influential role where you'll help shape project strategy, develop high-performing scientists through effective mentoring and coaching, and contribute to the continued growth and success of the site. You'll work closely with colleagues across Bioscience and DMPK and other scientific disciplines to define and execute integrated project strategies. Strong experience of working within multidisciplinary drug discovery teams, influencing scientific direction and communicating effectively with both internal teams and clients, will therefore be essential. This is a fantastic opportunity to work across diverse drug discovery projects for a range of clients, offering genuine breadth and depth of scientific experience. If this sounds like the next challenge you'd like to embark on - we'd love to hear from you. Role Responsibilities: Lead and influence complex medicinal chemistry programmes, at any stage of pre-clinical development Develop high performing project teams, ensuring the delivery of excellent science and successful project outcomes. Communicate scientific strategy and key project outcomes, whilst simultaneously manage all stakeholders, both internal and external Provide leadership beyond project delivery by contributing to operational strategy, business growth, recruitment, capability development, and continuous improvement programmes across the department. Contribute to the development of high-performing scientists through effective mentoring, coaching, training, and performance management. Maintain the highest standards of laboratory practice, data integrity, health & safety, and professionalism, ensuring teams are appropriately trained, fully compliant with all relevant company policies, and consistently maintain a safe and productive working environment. Represent Sygnature externally through client engagement, scientific presentations, publications, conference participation, and professional networking activities. Skills & Qualifications: PhD in Organic Chemistry, Medicinal Chemistry, or a related discipline, or equivalent industrial experience. Proven track record of leading multidisciplinary drug discovery projects and delivering scientific success. Broad understanding of integrated drug discovery and the ability to work effectively across multiple scientific disciplines. Strong people leadership skills, with experience mentoring, coaching, and developing scientists at different career stages. Excellent communication and stakeholder management skills, with the ability to influence both scientific and non-scientific audiences. Commercial awareness and experience working with clients, supporting proposals, and contributing to business growth. Motivated, adaptable, and comfortable operating in a fast-paced and collaborative environment. Benefits 25 days annual leave (plus bank holidays) Private Medical Insurance Life Insurance Employee Assistance Programme Enhanced Family Friendly Policies Sygnature Group Pension Scheme 1 paid volunteer day per year
About the company - the company's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role the company's Safeguards organization builds the systems that keep Claude safe to use at scale. The Account Compromise team owns one specific slice of that work: protecting the people and organizations who use Claude from losing control of their accounts, and preventing compromised accounts and credentials from being used to abuse our platform. Account takeover, credential stuffing, phishing-driven session theft, leaked API keys, and resold access all cause real harm - to the customers whose accounts are hijacked, and to the wider ecosystem when stolen access is used to route abusive traffic through legitimate accounts. We are looking for a staff+ engineer to set the technical direction for this work. You will own the architecture of how we detect, contain, and remediate account compromise across Claude and the Claude Developer Platform, making the design decisions that other engineers and teams build on top of. You will move between deep technical work and adversarial problem-solving: threat modelling how attackers will adapt, scoping multi-month projects from ambiguous starting points, and leading complex live investigations when they escalate. This is a hard problem space. Attackers iterate quickly, the signals separating a compromised account from an unusual but legitimate one are subtle, and every defence carries a cost to real users if it fires incorrectly. You will be building the playbook, and the judgement calls about where to draw those lines will largely be yours to make and defend. You will operate with high autonomy - owning detection coverage and incident leadership, driving alignment with Security, Product, and Policy teams, and shaping how the company approaches this problem globally rather than executing against someone else's roadmap. Key responsibilities Set the technical direction and own the architecture for account compromise detection, response, and remediation across Claude and the Claude Developer Platform Independently scope and lead complex, multi-month engineering projects from an ambiguous starting point through to production systems that operate reliably under adversarial pressure Build and evolve detection systems that identify account takeover, credential abuse, and compromised API keys in near real time Design automated response flows that cut off attacker access while minimising disruption to legitimate users Lead investigations into significant compromise incidents end to end, then convert what you learn into durable, automated defences Threat model how attackers are likely to adapt, and prioritise the team's work against that view rather than only against incidents already observed Drive cross-organisational alignment on account security direction with Security, Product, Support, Policy and other partners. Define how the team measures success and hold the work to those measures Set technical standards for the domain and raise the bar for other engineers through code review, design review, and mentorship Surface patterns from compromise cases to research and product teams so that protections improve upstream Minimum qualifications 10 + years experience designing, building, and operating detection, anti-fraud, anti-abuse, or security systems in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions in an adversarial domain that other engineers and teams then build on Proficiency in Python and SQL, with strong software engineering fundamentals and hands-on coding ability Experience leading investigations into account-based abuse or security incidents, and translating findings into automated detection Ability to reason rigorously about large behavioural or telemetry datasets, and to distinguish attacker behaviour from unusual but legitimate use Strong written communication and a track record of driving alignment across multiple teams and stakeholders Sound judgement about the tradeoff between stopping bad actors and disrupting legitimate users, and the ability to explain and defend where you have drawn that line Preferred qualifications Significant engineering experience in trust and safety, platform integrity, fraud, or detection and response, including time as a technical lead or mentor Deep familiarity with account attack techniques Experience with authentication and identity systems, including OAuth, single sign-on, multi-factor authentication, device binding, and risk-based authentication Experience applying machine learning to fraud or abuse detection, alongside a clear sense of when simpler rules-based approaches are the better choice Experience with cloud data tooling such as BigQuery, Spark, dbt, Airflow or similar Experience building tooling for operational or investigative teams, and partnering closely with the people who use it Interest in AI safety, and in the specific ways account compromise intersects with model misuse Representative projects - Design the architecture for real-time login risk scoring, and get agreement across Security, Product, and Safeguards on where step-up authentication should and should not fire Design detection for compromised API keys, together with security controls to limit exposure Rebuild product features to regain access quickly when customers get compromised Write the threat model that sets the team's roadmap for the next year, and bring the rest of the organisation along with it Instrument a false positive review loop that measures how often the team's defences affect legitimate users, and drive that number down The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 - £390,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit the directly for confirmed position openings. How we're different - We're different We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to the company, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute . click apply for full job details
Aug 24, 2026
Full time
About the company - the company's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role the company's Safeguards organization builds the systems that keep Claude safe to use at scale. The Account Compromise team owns one specific slice of that work: protecting the people and organizations who use Claude from losing control of their accounts, and preventing compromised accounts and credentials from being used to abuse our platform. Account takeover, credential stuffing, phishing-driven session theft, leaked API keys, and resold access all cause real harm - to the customers whose accounts are hijacked, and to the wider ecosystem when stolen access is used to route abusive traffic through legitimate accounts. We are looking for a staff+ engineer to set the technical direction for this work. You will own the architecture of how we detect, contain, and remediate account compromise across Claude and the Claude Developer Platform, making the design decisions that other engineers and teams build on top of. You will move between deep technical work and adversarial problem-solving: threat modelling how attackers will adapt, scoping multi-month projects from ambiguous starting points, and leading complex live investigations when they escalate. This is a hard problem space. Attackers iterate quickly, the signals separating a compromised account from an unusual but legitimate one are subtle, and every defence carries a cost to real users if it fires incorrectly. You will be building the playbook, and the judgement calls about where to draw those lines will largely be yours to make and defend. You will operate with high autonomy - owning detection coverage and incident leadership, driving alignment with Security, Product, and Policy teams, and shaping how the company approaches this problem globally rather than executing against someone else's roadmap. Key responsibilities Set the technical direction and own the architecture for account compromise detection, response, and remediation across Claude and the Claude Developer Platform Independently scope and lead complex, multi-month engineering projects from an ambiguous starting point through to production systems that operate reliably under adversarial pressure Build and evolve detection systems that identify account takeover, credential abuse, and compromised API keys in near real time Design automated response flows that cut off attacker access while minimising disruption to legitimate users Lead investigations into significant compromise incidents end to end, then convert what you learn into durable, automated defences Threat model how attackers are likely to adapt, and prioritise the team's work against that view rather than only against incidents already observed Drive cross-organisational alignment on account security direction with Security, Product, Support, Policy and other partners. Define how the team measures success and hold the work to those measures Set technical standards for the domain and raise the bar for other engineers through code review, design review, and mentorship Surface patterns from compromise cases to research and product teams so that protections improve upstream Minimum qualifications 10 + years experience designing, building, and operating detection, anti-fraud, anti-abuse, or security systems in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions in an adversarial domain that other engineers and teams then build on Proficiency in Python and SQL, with strong software engineering fundamentals and hands-on coding ability Experience leading investigations into account-based abuse or security incidents, and translating findings into automated detection Ability to reason rigorously about large behavioural or telemetry datasets, and to distinguish attacker behaviour from unusual but legitimate use Strong written communication and a track record of driving alignment across multiple teams and stakeholders Sound judgement about the tradeoff between stopping bad actors and disrupting legitimate users, and the ability to explain and defend where you have drawn that line Preferred qualifications Significant engineering experience in trust and safety, platform integrity, fraud, or detection and response, including time as a technical lead or mentor Deep familiarity with account attack techniques Experience with authentication and identity systems, including OAuth, single sign-on, multi-factor authentication, device binding, and risk-based authentication Experience applying machine learning to fraud or abuse detection, alongside a clear sense of when simpler rules-based approaches are the better choice Experience with cloud data tooling such as BigQuery, Spark, dbt, Airflow or similar Experience building tooling for operational or investigative teams, and partnering closely with the people who use it Interest in AI safety, and in the specific ways account compromise intersects with model misuse Representative projects - Design the architecture for real-time login risk scoring, and get agreement across Security, Product, and Safeguards on where step-up authentication should and should not fire Design detection for compromised API keys, together with security controls to limit exposure Rebuild product features to regain access quickly when customers get compromised Write the threat model that sets the team's roadmap for the next year, and bring the rest of the organisation along with it Instrument a false positive review loop that measures how often the team's defences affect legitimate users, and drive that number down The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 - £390,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit the directly for confirmed position openings. How we're different - We're different We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to the company, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute . click apply for full job details
Product Delivery Manager - Material & Environmental Engineering Contract: Initial 6 Months Day Rate: Circa 600 Inside IR35 Location: Hybrid (Reading as required) Start Date: ASAP Security Clearance: Active SC clearance We are looking for an experienced Product Delivery Manager - Material & Environmental Engineering to lead the delivery and continuous improvement of digital capabilities supporting materials management, product compliance, and environmental sustainability within a complex aerospace and defence environment. This is a strategic role combining materials engineering, environmental compliance, digital engineering, and product delivery. You will shape the digital toolchains, data environments, and processes that support materials selection and allowables, material and process specifications, batch pedigree and traceability, obsolescence, restricted substances, corrosion and compatibility, coatings and finishes, and environmental compliance. Key Responsibilities Own the delivery and continuous improvement of Material Management and Product Environmental digital capabilities. Lead the development and optimisation of digital solutions covering materials databases, allowables, specifications, process records, batch pedigree, certificates, compliance data, and sustainability reporting. Develop product roadmaps, delivery plans, and prioritised backlogs aligned with engineering and programme requirements. Enable integration with the wider Digital Thread, providing end-to-end traceability from requirements and material selection through manufacturing, testing, and compliance evidence. Support digital workflows for materials selection, corrosion and compatibility, coatings and finishes, restricted substances, and obsolescence management. Establish technical baselines, methodologies, data models, and work instructions. Ensure digital solutions meet agreed quality, security, performance, airworthiness, and environmental compliance requirements. Capture, challenge, and consolidate requirements across engineering, manufacturing, supply chain, and other stakeholders. Drive adoption of new digital tools and processes through training, change management, and stakeholder engagement. Define appropriate access models, data governance, metadata standards, and controls for sensitive engineering and environmental information. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, risks, technical debt, capacity, and dependencies. Drive incident resolution, root-cause analysis, and continuous improvement. Support vendor management, contract performance, licence optimisation, and technology evaluations. Identify opportunities for innovation in digital material pedigree, automated allowables integration, sustainability analytics, compliance dashboards, and evidence generation. Manage upgrades, enhancements, and decommissioning across the digital product lifecycle. Skills & Experience Degree in Materials Science, Engineering, Chemical Engineering, Aerospace Engineering, or a related technical discipline. Experience delivering digital engineering capabilities related to materials management and/or product environmental compliance. Experience within the Aerospace and/or Defence industry, with an understanding of regulated and safety-critical environments. Strong understanding of areas such as materials databases and allowables, material/process specifications, batch traceability, certificates, environmental compliance, and sustainability data. Strong knowledge of Digital Engineering, Model-Based Engineering, and Digital Thread principles. Experience managing complex delivery involving multiple stakeholders, suppliers, and distributed teams. Strong project, programme, or service management experience. ITIL, APM, or PRINCE2 qualifications are advantageous. Experience with SAFe or Agile delivery methodologies. Strong understanding of materials engineering and environmental compliance, including restricted substances, obsolescence, corrosion, compatibility, coatings, and finishes. Knowledge of REACH, RoHS, PFAS reduction, conflict minerals, and Life Cycle Assessment (LCA). Experience managing suppliers and technology partners supporting materials databases, process/specification management, test data, and environmental compliance platforms. Understanding of aerospace materials assurance, material allowables, conformity records, material pedigree, and environmental declarations. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Aug 24, 2026
Contractor
Product Delivery Manager - Material & Environmental Engineering Contract: Initial 6 Months Day Rate: Circa 600 Inside IR35 Location: Hybrid (Reading as required) Start Date: ASAP Security Clearance: Active SC clearance We are looking for an experienced Product Delivery Manager - Material & Environmental Engineering to lead the delivery and continuous improvement of digital capabilities supporting materials management, product compliance, and environmental sustainability within a complex aerospace and defence environment. This is a strategic role combining materials engineering, environmental compliance, digital engineering, and product delivery. You will shape the digital toolchains, data environments, and processes that support materials selection and allowables, material and process specifications, batch pedigree and traceability, obsolescence, restricted substances, corrosion and compatibility, coatings and finishes, and environmental compliance. Key Responsibilities Own the delivery and continuous improvement of Material Management and Product Environmental digital capabilities. Lead the development and optimisation of digital solutions covering materials databases, allowables, specifications, process records, batch pedigree, certificates, compliance data, and sustainability reporting. Develop product roadmaps, delivery plans, and prioritised backlogs aligned with engineering and programme requirements. Enable integration with the wider Digital Thread, providing end-to-end traceability from requirements and material selection through manufacturing, testing, and compliance evidence. Support digital workflows for materials selection, corrosion and compatibility, coatings and finishes, restricted substances, and obsolescence management. Establish technical baselines, methodologies, data models, and work instructions. Ensure digital solutions meet agreed quality, security, performance, airworthiness, and environmental compliance requirements. Capture, challenge, and consolidate requirements across engineering, manufacturing, supply chain, and other stakeholders. Drive adoption of new digital tools and processes through training, change management, and stakeholder engagement. Define appropriate access models, data governance, metadata standards, and controls for sensitive engineering and environmental information. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, risks, technical debt, capacity, and dependencies. Drive incident resolution, root-cause analysis, and continuous improvement. Support vendor management, contract performance, licence optimisation, and technology evaluations. Identify opportunities for innovation in digital material pedigree, automated allowables integration, sustainability analytics, compliance dashboards, and evidence generation. Manage upgrades, enhancements, and decommissioning across the digital product lifecycle. Skills & Experience Degree in Materials Science, Engineering, Chemical Engineering, Aerospace Engineering, or a related technical discipline. Experience delivering digital engineering capabilities related to materials management and/or product environmental compliance. Experience within the Aerospace and/or Defence industry, with an understanding of regulated and safety-critical environments. Strong understanding of areas such as materials databases and allowables, material/process specifications, batch traceability, certificates, environmental compliance, and sustainability data. Strong knowledge of Digital Engineering, Model-Based Engineering, and Digital Thread principles. Experience managing complex delivery involving multiple stakeholders, suppliers, and distributed teams. Strong project, programme, or service management experience. ITIL, APM, or PRINCE2 qualifications are advantageous. Experience with SAFe or Agile delivery methodologies. Strong understanding of materials engineering and environmental compliance, including restricted substances, obsolescence, corrosion, compatibility, coatings, and finishes. Knowledge of REACH, RoHS, PFAS reduction, conflict minerals, and Life Cycle Assessment (LCA). Experience managing suppliers and technology partners supporting materials databases, process/specification management, test data, and environmental compliance platforms. Understanding of aerospace materials assurance, material allowables, conformity records, material pedigree, and environmental declarations. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role We are a medical device company operating at the intersection of engineering precision and patient impact. As we grow our capabilities across the UK and US, we are looking for a Principal Talent Acquisition Partner to lead on hiring delivery, spanning hardware, software, and broader engineering disciplines critical to our product development and regulatory roadmap. This is a senior, high-autonomy role for someone who has built talent functions end to end before, not simply staffed them. You will operate as a trusted advisor to senior leadership on how we find, engage, and win the specialist and leadership talent this space demands; bringing structured market intelligence, sharp judgment on ambiguous and high-stakes searches, and the credibility to shape hiring strategy at the most senior tables in the business. You will set the standard for how the wider TA function operates: embedding rigour into our ATS and pipeline data, and partnering closely with People Operations to keep our offer and onboarding process compliant, consistent, and built to scale. Responsibilities: Act as a trusted advisor to senior leadership on talent strategy for CoMind's most complex and business-critical hires, translating ambiguous or evolving requirements into a clear hiring plan Define and embed hiring processes that scale across geographies without losing rigour, speed, or candidate experience Build long-term relationships with passive talent at leadership level Manage stakeholders across the business to triage priorities and delivery required to manage pipelines against business objectives Define and embed hiring processes that scale without losing rigour or speed Partner with hiring managers to deeply understand role requirements and team dynamics Run searches across hardware, software engineering, data science, clinical and adjacent technical disciplines Build and maintain proactive pipelines through sourcing, referrals and community engagement Conduct structured market mapping exercises for senior/leadership roles Deliver competitive intelligence and candidate landscape reports to senior stakeholders Build and maintain sourcing trackers, pipeline reports, and hiring metricsWork closely with Talent Ops to ensure offer workflows run smoothly and compliantly Collaborate with People Ops on onboarding handoffs, background check coordination, and new hire readiness Feed insights back into process improvement initiatives across the broader TA function AI is fundamental to our culture - it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 10+ years of in-house or embedded Talent Acquisition experience, including demonstrated experience operating at a senior or principal level as a trusted advisor to leadership A strong track record recruiting across hardware, software, and broader engineering disciplines Deep expertise sourcing and engaging passive, senior, and hard-to-find talent using executive search-grade methodology Experience building or scaling a talent function, designing how hiring works, not just filling seats within an existing process Comfortable managing multi-site hiring across geographically dispersed teams, and operating with autonomy in ambiguous or fast-changing environments Meticulous about data; you keep your ATS clean, your trackers current, and your reporting honest, and you hold others to that same standard A credible, senior collaborator who understands that a great hire doesn't end at offer acceptance, and who can influence stakeholders at every level without relying on formal authority Nice to have: Experience with executive search methodology or retained search Familiarity with the London and/or South West technical talent market Deep expertise hiring in electronics, opto-electronics, FPGA/ASIC engineering, and other deeply technical hardware domains Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life insurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores
Aug 24, 2026
Full time
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role We are a medical device company operating at the intersection of engineering precision and patient impact. As we grow our capabilities across the UK and US, we are looking for a Principal Talent Acquisition Partner to lead on hiring delivery, spanning hardware, software, and broader engineering disciplines critical to our product development and regulatory roadmap. This is a senior, high-autonomy role for someone who has built talent functions end to end before, not simply staffed them. You will operate as a trusted advisor to senior leadership on how we find, engage, and win the specialist and leadership talent this space demands; bringing structured market intelligence, sharp judgment on ambiguous and high-stakes searches, and the credibility to shape hiring strategy at the most senior tables in the business. You will set the standard for how the wider TA function operates: embedding rigour into our ATS and pipeline data, and partnering closely with People Operations to keep our offer and onboarding process compliant, consistent, and built to scale. Responsibilities: Act as a trusted advisor to senior leadership on talent strategy for CoMind's most complex and business-critical hires, translating ambiguous or evolving requirements into a clear hiring plan Define and embed hiring processes that scale across geographies without losing rigour, speed, or candidate experience Build long-term relationships with passive talent at leadership level Manage stakeholders across the business to triage priorities and delivery required to manage pipelines against business objectives Define and embed hiring processes that scale without losing rigour or speed Partner with hiring managers to deeply understand role requirements and team dynamics Run searches across hardware, software engineering, data science, clinical and adjacent technical disciplines Build and maintain proactive pipelines through sourcing, referrals and community engagement Conduct structured market mapping exercises for senior/leadership roles Deliver competitive intelligence and candidate landscape reports to senior stakeholders Build and maintain sourcing trackers, pipeline reports, and hiring metricsWork closely with Talent Ops to ensure offer workflows run smoothly and compliantly Collaborate with People Ops on onboarding handoffs, background check coordination, and new hire readiness Feed insights back into process improvement initiatives across the broader TA function AI is fundamental to our culture - it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: 10+ years of in-house or embedded Talent Acquisition experience, including demonstrated experience operating at a senior or principal level as a trusted advisor to leadership A strong track record recruiting across hardware, software, and broader engineering disciplines Deep expertise sourcing and engaging passive, senior, and hard-to-find talent using executive search-grade methodology Experience building or scaling a talent function, designing how hiring works, not just filling seats within an existing process Comfortable managing multi-site hiring across geographically dispersed teams, and operating with autonomy in ambiguous or fast-changing environments Meticulous about data; you keep your ATS clean, your trackers current, and your reporting honest, and you hold others to that same standard A credible, senior collaborator who understands that a great hire doesn't end at offer acceptance, and who can influence stakeholders at every level without relying on formal authority Nice to have: Experience with executive search methodology or retained search Familiarity with the London and/or South West technical talent market Deep expertise hiring in electronics, opto-electronics, FPGA/ASIC engineering, and other deeply technical hardware domains Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life insurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores
Product Delivery Manager - Structural Systems Digital Engineering Contract: Initial 6 Months Day Rate: Circa 600 Inside IR35 Location: Hybrid (Reading as required) Start Date: ASAP Security Clearance: Active SC clearance We are looking for an experienced Product Delivery Manager - Structural Systems Digital Engineering to lead the development and delivery of digital engineering capabilities supporting advanced aircraft structural design and analysis. You will shape the digital toolchains, architectures, and lifecycle environments that underpin 3D CAD, Model-Based Definition (MBD), Finite Element Analysis (FEA), composite and metallic structures, joints and fasteners, structural testing, and certification. Key Responsibilities Own the delivery and continuous improvement of Structural Systems digital engineering capabilities. Develop product roadmaps, delivery plans, and prioritised backlogs aligned with engineering and programme requirements. Support and optimise digital environments for CAD/MBD, FEA, structural analysis, composites, metallic structures, joints, fasteners, loads, and mass properties. Enable integration with the wider Digital Thread, ensuring data continuity from requirements and design through analysis, test, and evidence. Establish technical baselines, reference architectures, methodologies, and work instructions. Promote best practice in model-based engineering, structural analysis, verification, and evidence generation. Ensure solutions meet agreed quality, performance, security, compliance, and airworthiness requirements. Lead upgrades, enhancements, and lifecycle management of digital engineering platforms with minimal disruption to users. Capture, challenge, and consolidate requirements across engineering teams and partners. Drive adoption of new tools, processes, and frameworks through effective stakeholder engagement, training, and change management. Establish appropriate data models, metadata, naming conventions, and access controls for engineering information. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, risks, capacity, technical debt, and dependencies. Drive incident resolution, root-cause analysis, and continuous improvement. Support vendor relationships, contract management, licence optimisation, and technology evaluations. Identify opportunities for innovation in automation, topology optimisation, multiscale modelling, co-simulation, model calibration, and evidence generation. Skills & Experience Degree in Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related technical discipline. Experience delivering digital engineering capabilities across structural systems. Experience within the Aerospace and/or Defence industry, with an understanding of regulated and safety-critical environments. Strong knowledge of structural engineering toolchains including 3D CAD/MBD, FEA, stress analysis, stiffness and strength, buckling, fatigue, and damage tolerance. Experience with metallic and/or composite structures, joints, fasteners, and structural test correlation. Strong understanding of Model-Based Engineering and Digital Thread principles. Proven experience managing complex technical delivery involving multiple stakeholders, suppliers, and distributed teams. Strong project, programme, or service management experience. ITIL, APM, or PRINCE2 qualifications are advantageous. Experience with SAFe or Agile delivery methodologies. Understanding of structural airworthiness and certification, including strength, stiffness, stability, fatigue, damage tolerance, and durability. Experience managing suppliers and technology partners supporting CAD/MBD, FEA, composite analysis, materials databases, or test-data platforms. Knowledge of topology optimisation, progressive damage modelling, multiscale material modelling, and structural joining/fastening analysis. Experience delivering digital transformation and business change across engineering organisations. Experience working with secure, collaborative environments supporting distributed engineering teams. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Aug 24, 2026
Contractor
Product Delivery Manager - Structural Systems Digital Engineering Contract: Initial 6 Months Day Rate: Circa 600 Inside IR35 Location: Hybrid (Reading as required) Start Date: ASAP Security Clearance: Active SC clearance We are looking for an experienced Product Delivery Manager - Structural Systems Digital Engineering to lead the development and delivery of digital engineering capabilities supporting advanced aircraft structural design and analysis. You will shape the digital toolchains, architectures, and lifecycle environments that underpin 3D CAD, Model-Based Definition (MBD), Finite Element Analysis (FEA), composite and metallic structures, joints and fasteners, structural testing, and certification. Key Responsibilities Own the delivery and continuous improvement of Structural Systems digital engineering capabilities. Develop product roadmaps, delivery plans, and prioritised backlogs aligned with engineering and programme requirements. Support and optimise digital environments for CAD/MBD, FEA, structural analysis, composites, metallic structures, joints, fasteners, loads, and mass properties. Enable integration with the wider Digital Thread, ensuring data continuity from requirements and design through analysis, test, and evidence. Establish technical baselines, reference architectures, methodologies, and work instructions. Promote best practice in model-based engineering, structural analysis, verification, and evidence generation. Ensure solutions meet agreed quality, performance, security, compliance, and airworthiness requirements. Lead upgrades, enhancements, and lifecycle management of digital engineering platforms with minimal disruption to users. Capture, challenge, and consolidate requirements across engineering teams and partners. Drive adoption of new tools, processes, and frameworks through effective stakeholder engagement, training, and change management. Establish appropriate data models, metadata, naming conventions, and access controls for engineering information. Coordinate delivery across internal teams, suppliers, and system integrators. Monitor service performance, risks, capacity, technical debt, and dependencies. Drive incident resolution, root-cause analysis, and continuous improvement. Support vendor relationships, contract management, licence optimisation, and technology evaluations. Identify opportunities for innovation in automation, topology optimisation, multiscale modelling, co-simulation, model calibration, and evidence generation. Skills & Experience Degree in Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related technical discipline. Experience delivering digital engineering capabilities across structural systems. Experience within the Aerospace and/or Defence industry, with an understanding of regulated and safety-critical environments. Strong knowledge of structural engineering toolchains including 3D CAD/MBD, FEA, stress analysis, stiffness and strength, buckling, fatigue, and damage tolerance. Experience with metallic and/or composite structures, joints, fasteners, and structural test correlation. Strong understanding of Model-Based Engineering and Digital Thread principles. Proven experience managing complex technical delivery involving multiple stakeholders, suppliers, and distributed teams. Strong project, programme, or service management experience. ITIL, APM, or PRINCE2 qualifications are advantageous. Experience with SAFe or Agile delivery methodologies. Understanding of structural airworthiness and certification, including strength, stiffness, stability, fatigue, damage tolerance, and durability. Experience managing suppliers and technology partners supporting CAD/MBD, FEA, composite analysis, materials databases, or test-data platforms. Knowledge of topology optimisation, progressive damage modelling, multiscale material modelling, and structural joining/fastening analysis. Experience delivering digital transformation and business change across engineering organisations. Experience working with secure, collaborative environments supporting distributed engineering teams. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
JPMorganChase is forming a Mid-Frequency Strategies team focused on the research, development, and execution of systematic trading strategies. The group operates at the intersection of quantitative research and trading, developing strategies that span alpha generation, portfolio construction, risk management, and execution infrastructure - with statistical analysis and machine learning at the core. You will work alongside experienced traders, researchers, and technologists in a collaborative environment where research directly drives live trading decisions. The Mid-Frequency Trading Strategies team is located Globally across London, New York and Hong Kong. Job Summary As a Vice President/Executive Director within the Mid-Frequency Trading Strategies team, you will play a central role in designing and implementing JPMorgan Chase's mid-frequency trading framework. You will be responsible for the full lifecycle of strategy development - from ideation and statistical research through production deployment and ongoing performance monitoring. This is a highly quantitative role requiring deep expertise in statistical modelling, machine learning, and financial markets, and is suited to someone who thrives at the boundary of research and live trading. Job Responsibilities Improve the mid-frequency trading framework, including the architecture for signal generation, alpha combination, portfolio optimization, and execution logic, ensuring the platform is robust, scalable, and production-ready. Research and develop proprietary trading strategies using advanced statistical modelling and machine learning techniques, with a focus on identifying persistent, risk-adjusted alpha signals across relevant asset classes. Apply machine learning methodologies - including supervised and unsupervised learning, reinforcement learning, and time-series modelling - to extract predictive signals from large, complex datasets including market microstructure, alternative data, and macroeconomic indicators. Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases. Develop and maintain production-grade implementations of trading strategies and supporting infrastructure, working with technology partners to integrate models into the live trading environment. Monitor live strategy performance, carry out PnL attribution, identify regime changes, and continuously iterate on models to maintain and improve P&L generation. Required Qualifications, Capabilities, and Skills Master's degree in a quantitative STEM discipline such as Statistics Mathematics, Physics, Computer Science, or Financial Engineering Proven experience in quantitative trading, quantitative research, or systematic strategy development role, ideally within a prop trading environment, hedge fund, or sell-side systematic trading desk Demonstrable expertise in statistical modelling, including time-series analysis, factor modelling, Bayesian inference, and hypothesis testing in a financial markets context Strong machine learning proficiency, with hands on experience applying ML techniques (e.g. gradient boosting, neural networks, regularization methods, dimensionality reduction) to financial prediction problems Strong Python programming skills, including experience with scientific computing libraries (NumPy, pandas, scikit-learn, PyTorch/TensorFlow) Strong analytical and problem-solving skills, with the ability to work independently and drive research from first principles. Preferred Qualifications, Capabilities, and Skills PhD in quantitative STEM discipline such as Statistics, Applied Mathematics, Physics, or Machine Learning, with a research track record demonstrating rigorous application of statistical or computational methods to complex, real-world problems Proven experience in a proprietary trading environment - such as a systematic trading group, quantitative hedge fund, or prop trading desk, with direct ownership of or meaningful contribution to live strategies Proven track record in alpha research, including the full lifecycle of signal discovery: hypothesis generation, statistical validation, backtesting under realistic assumptions, and post-deployment performance attribution Strong command of machine learning techniques applied to financial prediction problems, with a demonstrated ability to critically assess model reliability, manage overfitting risk, and distinguish statistically significant signals from noise in low signal-to-noise environments Experienced in researching and developing mid-to-high frequency systematic strategies, with a nuanced understanding of how signal decay, turnover costs, and capacity constraints interact with strategy design at different frequency horizons Experience with cloud-based data and compute infrastructure, particularly AWS, for large-scale data processing, model training, and research pipeline automation. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Aug 24, 2026
Full time
JPMorganChase is forming a Mid-Frequency Strategies team focused on the research, development, and execution of systematic trading strategies. The group operates at the intersection of quantitative research and trading, developing strategies that span alpha generation, portfolio construction, risk management, and execution infrastructure - with statistical analysis and machine learning at the core. You will work alongside experienced traders, researchers, and technologists in a collaborative environment where research directly drives live trading decisions. The Mid-Frequency Trading Strategies team is located Globally across London, New York and Hong Kong. Job Summary As a Vice President/Executive Director within the Mid-Frequency Trading Strategies team, you will play a central role in designing and implementing JPMorgan Chase's mid-frequency trading framework. You will be responsible for the full lifecycle of strategy development - from ideation and statistical research through production deployment and ongoing performance monitoring. This is a highly quantitative role requiring deep expertise in statistical modelling, machine learning, and financial markets, and is suited to someone who thrives at the boundary of research and live trading. Job Responsibilities Improve the mid-frequency trading framework, including the architecture for signal generation, alpha combination, portfolio optimization, and execution logic, ensuring the platform is robust, scalable, and production-ready. Research and develop proprietary trading strategies using advanced statistical modelling and machine learning techniques, with a focus on identifying persistent, risk-adjusted alpha signals across relevant asset classes. Apply machine learning methodologies - including supervised and unsupervised learning, reinforcement learning, and time-series modelling - to extract predictive signals from large, complex datasets including market microstructure, alternative data, and macroeconomic indicators. Own the end-to-end research process, from hypothesis generation and backtesting through to live deployment, with rigorous statistical validation to guard against overfitting and data snooping biases. Develop and maintain production-grade implementations of trading strategies and supporting infrastructure, working with technology partners to integrate models into the live trading environment. Monitor live strategy performance, carry out PnL attribution, identify regime changes, and continuously iterate on models to maintain and improve P&L generation. Required Qualifications, Capabilities, and Skills Master's degree in a quantitative STEM discipline such as Statistics Mathematics, Physics, Computer Science, or Financial Engineering Proven experience in quantitative trading, quantitative research, or systematic strategy development role, ideally within a prop trading environment, hedge fund, or sell-side systematic trading desk Demonstrable expertise in statistical modelling, including time-series analysis, factor modelling, Bayesian inference, and hypothesis testing in a financial markets context Strong machine learning proficiency, with hands on experience applying ML techniques (e.g. gradient boosting, neural networks, regularization methods, dimensionality reduction) to financial prediction problems Strong Python programming skills, including experience with scientific computing libraries (NumPy, pandas, scikit-learn, PyTorch/TensorFlow) Strong analytical and problem-solving skills, with the ability to work independently and drive research from first principles. Preferred Qualifications, Capabilities, and Skills PhD in quantitative STEM discipline such as Statistics, Applied Mathematics, Physics, or Machine Learning, with a research track record demonstrating rigorous application of statistical or computational methods to complex, real-world problems Proven experience in a proprietary trading environment - such as a systematic trading group, quantitative hedge fund, or prop trading desk, with direct ownership of or meaningful contribution to live strategies Proven track record in alpha research, including the full lifecycle of signal discovery: hypothesis generation, statistical validation, backtesting under realistic assumptions, and post-deployment performance attribution Strong command of machine learning techniques applied to financial prediction problems, with a demonstrated ability to critically assess model reliability, manage overfitting risk, and distinguish statistically significant signals from noise in low signal-to-noise environments Experienced in researching and developing mid-to-high frequency systematic strategies, with a nuanced understanding of how signal decay, turnover costs, and capacity constraints interact with strategy design at different frequency horizons Experience with cloud-based data and compute infrastructure, particularly AWS, for large-scale data processing, model training, and research pipeline automation. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Senior Specialist Solutions Engineer (AI/ML) Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team). The impact you will have Lead the architectural design of production grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end to end pipeline creation and optimization (training/inference) to seamless integration with cloud native services. Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real world examples. Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for Experienced, technical, customer facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer facing technical role as a subject matter expert (SME) in a pre sales environment. Pre sales or post sales experience working with external clients across a variety of industry markets. Data Science/ML Skills Hands on industry ML experience in at least one of the following: ML Engineer: Develop production grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non technical and technical audiences alike. Passion for collaboration, life long learning, and driving our values through ML. Preferred 2+ years customer facing experience in a pre sales or post sales role. Preferred Experience working with Apache Spark to process large scale distributed datasets. Can meet expectations for technical training and role specific outcomes within 3 months of hire. Can travel up to 30% when needed. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Aug 24, 2026
Full time
Senior Specialist Solutions Engineer (AI/ML) Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team). The impact you will have Lead the architectural design of production grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end to end pipeline creation and optimization (training/inference) to seamless integration with cloud native services. Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real world examples. Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for Experienced, technical, customer facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer facing technical role as a subject matter expert (SME) in a pre sales environment. Pre sales or post sales experience working with external clients across a variety of industry markets. Data Science/ML Skills Hands on industry ML experience in at least one of the following: ML Engineer: Develop production grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non technical and technical audiences alike. Passion for collaboration, life long learning, and driving our values through ML. Preferred 2+ years customer facing experience in a pre sales or post sales role. Preferred Experience working with Apache Spark to process large scale distributed datasets. Can meet expectations for technical training and role specific outcomes within 3 months of hire. Can travel up to 30% when needed. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity 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.
Aug 24, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity 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.
