The Opportunity We're seeking a passionate Data Scientist to own the end-to-end implementation and design of data science applications for various clients. You will join a growing practice and champion and actively contribute to the growth of the discipline, enabling the ongoing growth of the data science capability. You'll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges. Make a difference and advance your career by helping deliver some of the UK's most important projects, making the world a smarter, safer, greener, and healthier place. At a certified Great Place to Work you'll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations. About Us Founded in 1992, we are a successful, growing International digital transformation consultancy. We deliver multi-Queen's Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management, and Digital Democracy. Key Accountabilities and Responsibilities Senior Data Scientists enable the design, development, integration and testing of complex, high quality data science solutions and services to meet user needs, continually improving the application of best practice patterns, methods and tools. This includes: Build effective working relationships with client counterparts in your practitioner domain, and those of a partner / 3rd party organisation. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Help structure and provide technical assurance for the work of less experienced practitioners, enabling them to maximise quality and velocity. Monitor the application of the methods and requirements, pro-actively managing technical risks and issues. Collaborating with practitioners from other disciplines (e.g. UCD, Engineering) to ensure the solution meets user and business needs. Take technical responsibility for the delivery of high-quality data science services on smaller engagements, across all stages (design, build, test, deploy, operate and continually improve), in line with best practice. Work with Delivery Managers to inform estimates for research and development activities, enabling them to plan technical activities, including how teams and work should be structured. Proactively identify and help mitigate technical risks, issues, assumptions and dependencies. Maintain relevant, up-to-date practitioner skills through training and accreditation, including a domain-relevant accreditation/certification at professional level. Being an active member of the Data Science discipline, identifying area for growth across the business, and providing coaching for less experienced practitioners. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Requirements Background in Agile delivery environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, etc.). Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands on knowledge of designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work for a team. Being able to provide commercially robust estimates of development activities. Experience providing practitioner guidance to junior colleagues and peers. Understanding of how to operationalise and deploy a Data Science solution in a live environment. A bachelor's degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge of AI, reading research papers, attending conferences, etc. Ability to work effectively across multiple teams and projects. Ability to explain and simplify complex information to stakeholders, gathering and translating business requirements, anticipating any obstacles to information flow. Understanding of different databases (Relational and NoSQL) and optimising queries for effective data manipulation. A master's degree or PhD in a STEM field. Personal Qualities You are hands on, working within a team to solve complex software and feature problems. Inquisitive, using critical thinking to ask lots of questions, overcome biases, break assumptions and consider different perspectives. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Detail-oriented with a focus on accuracy. Able to plan and organise your own work, effectively negotiating priorities crossing multiple teams across the business. Able to collaborate with other areas of the business to solve problems. Able to quickly learn and adapt to new technologies. Benefits Our benefits package compliments our highly competitive salaries and our great working environment. We believe that our people should be properly rewarded for their commitment to the continued success of our business through a comprehensive and flexible range of benefits. These can include: InformedACADEMY - We offer excellent career development opportunities through our award-winning personal and professional development programmes, including support with professional certifications. Industry leading health and wellbeing plan - We partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support and physical health support. Hybrid working Private Health Care Cover Generous life assurance cover Gym Membership Monthly office lunch Onsite massage sessions 25 paid working days holiday per year plus bank holidays Sabbatical Leave Scheme Enhanced Maternity Leave and Pay Enhanced Paternity Leave and Pay Company Pension Contribution Profit Share Scheme Payment of professional subscriptions Generous referral scheme with no limits on the number of referrals Salary Sacrifice scheme Qualifying period applies Culture We are proud to nurture a workplace culture that is diverse, inclusive, rewarding, and egalitarian. We strive to live up to our values of Innovation, Excellence, and Integrity by thinking about things differently, always doing our best, and acting in good faith at all times. We're a team of passionate problem solvers. We take pride in helping our clients accelerate and de risk digital business change so that we can collaborate and codesign world class digital services that solve complex business and safety critical problems, particularly where place, location or geography are important. Our workplace culture reflectshow we go about our work, the type of work that we choose to do, and our commitment and contribution to the sustainable social, environmental, and economic development aims of the communities that we are part of. We focus both on technical skills and equally importantly, on the cultural fit of prospective new colleagues. Our success relies on fostering an environment where creativity and collaboration produces great outcomes for our people, our clients, and our partners.
15/07/2026
Full time
The Opportunity We're seeking a passionate Data Scientist to own the end-to-end implementation and design of data science applications for various clients. You will join a growing practice and champion and actively contribute to the growth of the discipline, enabling the ongoing growth of the data science capability. You'll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges. Make a difference and advance your career by helping deliver some of the UK's most important projects, making the world a smarter, safer, greener, and healthier place. At a certified Great Place to Work you'll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations. About Us Founded in 1992, we are a successful, growing International digital transformation consultancy. We deliver multi-Queen's Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management, and Digital Democracy. Key Accountabilities and Responsibilities Senior Data Scientists enable the design, development, integration and testing of complex, high quality data science solutions and services to meet user needs, continually improving the application of best practice patterns, methods and tools. This includes: Build effective working relationships with client counterparts in your practitioner domain, and those of a partner / 3rd party organisation. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Help structure and provide technical assurance for the work of less experienced practitioners, enabling them to maximise quality and velocity. Monitor the application of the methods and requirements, pro-actively managing technical risks and issues. Collaborating with practitioners from other disciplines (e.g. UCD, Engineering) to ensure the solution meets user and business needs. Take technical responsibility for the delivery of high-quality data science services on smaller engagements, across all stages (design, build, test, deploy, operate and continually improve), in line with best practice. Work with Delivery Managers to inform estimates for research and development activities, enabling them to plan technical activities, including how teams and work should be structured. Proactively identify and help mitigate technical risks, issues, assumptions and dependencies. Maintain relevant, up-to-date practitioner skills through training and accreditation, including a domain-relevant accreditation/certification at professional level. Being an active member of the Data Science discipline, identifying area for growth across the business, and providing coaching for less experienced practitioners. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Requirements Background in Agile delivery environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, etc.). Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands on knowledge of designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work for a team. Being able to provide commercially robust estimates of development activities. Experience providing practitioner guidance to junior colleagues and peers. Understanding of how to operationalise and deploy a Data Science solution in a live environment. A bachelor's degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge of AI, reading research papers, attending conferences, etc. Ability to work effectively across multiple teams and projects. Ability to explain and simplify complex information to stakeholders, gathering and translating business requirements, anticipating any obstacles to information flow. Understanding of different databases (Relational and NoSQL) and optimising queries for effective data manipulation. A master's degree or PhD in a STEM field. Personal Qualities You are hands on, working within a team to solve complex software and feature problems. Inquisitive, using critical thinking to ask lots of questions, overcome biases, break assumptions and consider different perspectives. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Detail-oriented with a focus on accuracy. Able to plan and organise your own work, effectively negotiating priorities crossing multiple teams across the business. Able to collaborate with other areas of the business to solve problems. Able to quickly learn and adapt to new technologies. Benefits Our benefits package compliments our highly competitive salaries and our great working environment. We believe that our people should be properly rewarded for their commitment to the continued success of our business through a comprehensive and flexible range of benefits. These can include: InformedACADEMY - We offer excellent career development opportunities through our award-winning personal and professional development programmes, including support with professional certifications. Industry leading health and wellbeing plan - We partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support and physical health support. Hybrid working Private Health Care Cover Generous life assurance cover Gym Membership Monthly office lunch Onsite massage sessions 25 paid working days holiday per year plus bank holidays Sabbatical Leave Scheme Enhanced Maternity Leave and Pay Enhanced Paternity Leave and Pay Company Pension Contribution Profit Share Scheme Payment of professional subscriptions Generous referral scheme with no limits on the number of referrals Salary Sacrifice scheme Qualifying period applies Culture We are proud to nurture a workplace culture that is diverse, inclusive, rewarding, and egalitarian. We strive to live up to our values of Innovation, Excellence, and Integrity by thinking about things differently, always doing our best, and acting in good faith at all times. We're a team of passionate problem solvers. We take pride in helping our clients accelerate and de risk digital business change so that we can collaborate and codesign world class digital services that solve complex business and safety critical problems, particularly where place, location or geography are important. Our workplace culture reflectshow we go about our work, the type of work that we choose to do, and our commitment and contribution to the sustainable social, environmental, and economic development aims of the communities that we are part of. We focus both on technical skills and equally importantly, on the cultural fit of prospective new colleagues. Our success relies on fostering an environment where creativity and collaboration produces great outcomes for our people, our clients, and our partners.
Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Senior Security Architect at one of our QinetiQ UK sites, where you will have the opportunity to work with cutting edge technology in partnership with some of the most brilliant minds. The Role As a Senior Security Architect you will deliver compelling cyber security consultancy involving the leading and supporting of the design and development of secure technical system and solution architectures for our markets. Day-to-day, you will develop conceptual security solutions, architectures and associated principals and approaches devising across a range of technologies and environments. Your responsibilities will include: Working in partnership with our clients to drive the security outcomes they require in their specific business context considering impacts to their business/operations Developing security plans, policies & processes advising security related technology selection across a range of technologies Leading security-related project delivery from the detailed technical level to high-level system views Collaborating with other architect disciplines and technical experts to deliver a security viewpoint on architectures Supporting, coaching, and mentoring staff Working with other security practitioners to shape and influence good security architectural solutions that meet governance/regulatory requirements Essential experience of the Senior Security Architect: A strong working knowledge of cyber and information regulatory requirements with a good understanding of Information Assurance Frameworks The ability to apply architectural frameworks and design patterns with previous relevant experience of architecture Previous experience developing and advising proportionate cyber security solutions to meet customer needs A strong understanding of relevant digital technologies and how to apply security architecture with in depth experience of at least one area The ability to communicate strongly with stakeholders, make security recommendations and lead teams to develop secure technical solutions A good understanding of the current threat landscape, technical vulnerabilities and attack methodologies Essential qualifications for the Senior Security Architect: We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at multiple UK sites. Hybrid working patterns available. Travel to customer sites will be expected. Benefits Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Security Clearance Please note that all applicants for this role must be eligible for SC clearance, as a minimum.
15/07/2026
Full time
Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Senior Security Architect at one of our QinetiQ UK sites, where you will have the opportunity to work with cutting edge technology in partnership with some of the most brilliant minds. The Role As a Senior Security Architect you will deliver compelling cyber security consultancy involving the leading and supporting of the design and development of secure technical system and solution architectures for our markets. Day-to-day, you will develop conceptual security solutions, architectures and associated principals and approaches devising across a range of technologies and environments. Your responsibilities will include: Working in partnership with our clients to drive the security outcomes they require in their specific business context considering impacts to their business/operations Developing security plans, policies & processes advising security related technology selection across a range of technologies Leading security-related project delivery from the detailed technical level to high-level system views Collaborating with other architect disciplines and technical experts to deliver a security viewpoint on architectures Supporting, coaching, and mentoring staff Working with other security practitioners to shape and influence good security architectural solutions that meet governance/regulatory requirements Essential experience of the Senior Security Architect: A strong working knowledge of cyber and information regulatory requirements with a good understanding of Information Assurance Frameworks The ability to apply architectural frameworks and design patterns with previous relevant experience of architecture Previous experience developing and advising proportionate cyber security solutions to meet customer needs A strong understanding of relevant digital technologies and how to apply security architecture with in depth experience of at least one area The ability to communicate strongly with stakeholders, make security recommendations and lead teams to develop secure technical solutions A good understanding of the current threat landscape, technical vulnerabilities and attack methodologies Essential qualifications for the Senior Security Architect: We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at multiple UK sites. Hybrid working patterns available. Travel to customer sites will be expected. Benefits Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Security Clearance Please note that all applicants for this role must be eligible for SC clearance, as a minimum.
About Columbia Threadneedle InvestmentsWorking at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.Job DescriptionWhere you'll fit in & what our team goals are This role is a critical enabler of data-driven decision-making across Columbia Threadneedle Investments EMEA, based in London. The position reports to the Vice President of Columbia Analytics and EDAI AI Strategy and is a senior individual contributor role requiring expertise in Asset Management or Financial Services.This role is specifically intended for an experienced analytics professional who has operated within an investment management or broader financial services environment and understands the data, decision-making processes, and regulatory context of the industry. Significant experience partnering with senior stakeholders in Asset Management, Investments, Distribution, Product, Client, and other related functions is essential.The individual acts as a trusted analytics advisor to EMEA business leaders, translating advanced analytics, statistical modeling, and data science outputs into clear, actionable insights that directly support business decisions within an Asset Management context. Success in the role depends on the ability to connect analytical work to real investment, client, and commercial outcomes, and to communicate effectively with non-technical stakeholders who are accountable for those outcomes.Operating within a highly matrixed, global organization, the role requires strong influencing skills and the ability to lead without formal authority. The individual is expected to build durable partnerships across EMEA and global teams, ensuring analytical initiatives are tightly aligned to business priorities, enterprise standards, and the realities of an AM/FS operating environment.This position is designed for a senior practitioner who proactively identifies opportunities where analytics, machine learning, and data capabilities can materially improve decision-making within Asset Management. The role emphasizes problem framing in complex, ambiguous situations, and applying analytical techniques in ways that are practical, relevant, and embedded into existing business processes over time.While the role does not include direct people management, it is supported by a dedicated team of data scientists based in India. The individual provides leadership through clear definition of business problems, prioritization of work aligned to EMEA needs, and close partnership with global analytics resources. Accountability includes end-to-end ownership of analytical initiatives, senior stakeholder engagement, and informal guidance to ensure high-quality, business-relevant outcomes.Overall, this role is suited to a seasoned analytics leader with demonstrated experience in Asset Management or Financial Services, & strong business acumen, and the credibility to operate in a matrix structure. Impact is driven through insight, influence, and domain expertise rather than formal line management.How you'll spend your time Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Provides technical advice and coaching to team members on best practices for usage and application of analytic output.Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance polices and leaders.May lead or provide informal leadership to a team of analytic resources.To be successful in this role you will have Extensive experience in Asset Management or Financial Services.Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes.Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.Proficiency in programming languages such as Python, Sql etc.Experience with Data visualization tools (e.g. Power BI, Tableau)Proven track record of designing and deploying AI solutions at scale.Demonstrated project experience while working with AWS/Azure/SnowflakeProven executive presence communication skills, with the ability to translate complex data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners.Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.Ability to work effectively in a collaborative team environment.If you also had this, it would be great Familiarity with ML Ops practices and tools for model deployment and monitoring.Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text generation etc.Experience working in regulated industries or highly matrixed, enterprise environments.Experience modernizing or scaling enterprise experimentation programs and attribution frameworksTrack record of leading analytics organizations through significant transformation or maturity shifts.In-Office CollaborationWe are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.Full-Time/Part-TimeFull timeWorker Sub TypePermanentJob Family GroupDataColumbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.We appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.Columbia Threadneedle Investments is an equal opportunity employer. We consider all qualified applicants without regard to racial or ethnic background, religion or belief, sex or gender, nationality, genetic information, age, sexual orientation, gender identity, disability, marital status, pregnancy or maternity or any other basis prohibited by law.We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to aid your participation in the application or interview process, speak to your recruiter to discuss how we can support you.
15/07/2026
Full time
About Columbia Threadneedle InvestmentsWorking at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.Job DescriptionWhere you'll fit in & what our team goals are This role is a critical enabler of data-driven decision-making across Columbia Threadneedle Investments EMEA, based in London. The position reports to the Vice President of Columbia Analytics and EDAI AI Strategy and is a senior individual contributor role requiring expertise in Asset Management or Financial Services.This role is specifically intended for an experienced analytics professional who has operated within an investment management or broader financial services environment and understands the data, decision-making processes, and regulatory context of the industry. Significant experience partnering with senior stakeholders in Asset Management, Investments, Distribution, Product, Client, and other related functions is essential.The individual acts as a trusted analytics advisor to EMEA business leaders, translating advanced analytics, statistical modeling, and data science outputs into clear, actionable insights that directly support business decisions within an Asset Management context. Success in the role depends on the ability to connect analytical work to real investment, client, and commercial outcomes, and to communicate effectively with non-technical stakeholders who are accountable for those outcomes.Operating within a highly matrixed, global organization, the role requires strong influencing skills and the ability to lead without formal authority. The individual is expected to build durable partnerships across EMEA and global teams, ensuring analytical initiatives are tightly aligned to business priorities, enterprise standards, and the realities of an AM/FS operating environment.This position is designed for a senior practitioner who proactively identifies opportunities where analytics, machine learning, and data capabilities can materially improve decision-making within Asset Management. The role emphasizes problem framing in complex, ambiguous situations, and applying analytical techniques in ways that are practical, relevant, and embedded into existing business processes over time.While the role does not include direct people management, it is supported by a dedicated team of data scientists based in India. The individual provides leadership through clear definition of business problems, prioritization of work aligned to EMEA needs, and close partnership with global analytics resources. Accountability includes end-to-end ownership of analytical initiatives, senior stakeholder engagement, and informal guidance to ensure high-quality, business-relevant outcomes.Overall, this role is suited to a seasoned analytics leader with demonstrated experience in Asset Management or Financial Services, & strong business acumen, and the credibility to operate in a matrix structure. Impact is driven through insight, influence, and domain expertise rather than formal line management.How you'll spend your time Identify, develop and implement increasingly complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc.Engage collaboratively with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Provides technical advice and coaching to team members on best practices for usage and application of analytic output.Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance polices and leaders.May lead or provide informal leadership to a team of analytic resources.To be successful in this role you will have Extensive experience in Asset Management or Financial Services.Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes.Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.Proficiency in programming languages such as Python, Sql etc.Experience with Data visualization tools (e.g. Power BI, Tableau)Proven track record of designing and deploying AI solutions at scale.Demonstrated project experience while working with AWS/Azure/SnowflakeProven executive presence communication skills, with the ability to translate complex data into clear, actionable insights that influence prioritization and investment; ability to communicate to less technical partners.Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.Ability to work effectively in a collaborative team environment.If you also had this, it would be great Familiarity with ML Ops practices and tools for model deployment and monitoring.Familiarity with Gen AI capabilities, Observability, Gen AI type - Q/A, text summarization and text generation etc.Experience working in regulated industries or highly matrixed, enterprise environments.Experience modernizing or scaling enterprise experimentation programs and attribution frameworksTrack record of leading analytics organizations through significant transformation or maturity shifts.In-Office CollaborationWe are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.Full-Time/Part-TimeFull timeWorker Sub TypePermanentJob Family GroupDataColumbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.We appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.Columbia Threadneedle Investments is an equal opportunity employer. We consider all qualified applicants without regard to racial or ethnic background, religion or belief, sex or gender, nationality, genetic information, age, sexual orientation, gender identity, disability, marital status, pregnancy or maternity or any other basis prohibited by law.We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to aid your participation in the application or interview process, speak to your recruiter to discuss how we can support you.
About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands on technical guidance and partnership. As an AI Deployment Engineer you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. About the role We are looking for a solutions oriented technical leader to engage with customers post sale and ensure they realise tangible business value from their investment in the company's technologies. You will work closely with senior leaders and technical teams within customer organisations to establish GenAI roadmaps, strategies, prioritise high value use cases, and guide projects from early prototyping through enterprise grade production deployments. You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, the company APIs, and our broader ecosystem of tools and services. You will work cross functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. In this role, you will: Serve as the primary technical subject matter expert post sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open source resources and enterprise facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types. You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike. Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations. Possess hands on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept. Take end to end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success. Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike. Thrive in fast paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact. About the company The company is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. Equal Opportunity Employer We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see the company's affirmative action and equal employment opportunity policy statement. Background Checks & Compliance Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. Reasonable Accommodations We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
15/07/2026
Full time
About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands on technical guidance and partnership. As an AI Deployment Engineer you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. About the role We are looking for a solutions oriented technical leader to engage with customers post sale and ensure they realise tangible business value from their investment in the company's technologies. You will work closely with senior leaders and technical teams within customer organisations to establish GenAI roadmaps, strategies, prioritise high value use cases, and guide projects from early prototyping through enterprise grade production deployments. You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, the company APIs, and our broader ecosystem of tools and services. You will work cross functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment. In this role, you will: Serve as the primary technical subject matter expert post sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions. Engage with senior business and technical stakeholders to identify, prioritise, and validate the highest value GenAI applications in their roadmap. Accelerate customer time to value by providing architectural guidance, building hands on prototypes, and advising on best practices for scaling solutions in production. Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes. Contribute to open source resources and enterprise facing technical documentation to scale best practices across customers. Share learnings and collaborate with internal teams to inform product development and improve customer outcomes. Codify knowledge and operationalise technical success practices to help the Solutions Architecture team scale impact across industries and customer types. You'll thrive in this role if you: Have 5+ years of technical consulting, post sales engineering, solutions architecture, or similar experience working directly with customers. Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike. Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations. Possess hands on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept. Take end to end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success. Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike. Thrive in fast paced environments, adeptly managing multiple workstreams and prioritising for the highest customer impact. About the company The company is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. Equal Opportunity Employer We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see the company's affirmative action and equal employment opportunity policy statement. Background Checks & Compliance Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. Reasonable Accommodations We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
About the role As a Program Manager within 4C Strategies' EMEA Defence team, based in Warminster, UK, you will lead 4C's delivery into a major, newly signed, long-term UK defence programme, delivered as part of a multi-partner consortium. 4C provides a market-leading COTS software product, together with configuration, consultancy and support services, that underpins multiple service lines within the wider programme delivery model. The shape of the role is distinctive: you will manage the requirements, delivery plans, stakeholders and governance needs of several programme service lines in parallel, while consolidating that demand into a single coherent delivery plan, a single commercial position, and a single product roadmap. You will own the full delivery lifecycle - from requirement definition and planning through governance, deployment and into support - ensuring commitments are delivered on time, within scope, and to the highest quality standards. You will act as 4C's primary delivery interface with the prime contractor, consortium partners and customer stakeholders, building trusted relationships through clear communication, disciplined governance and honest expectation management. You will work in close partnership with 4C solution architects and technical specialists, who author the technical designs and assurance artefacts - your role is to orchestrate, assure and front that work, not to produce it. This is a long-horizon programme: you will be shaping delivery foundations intended to last more than a decade. Key responsibilities Lead 4C's end-to-end delivery into the programme, ensuring successful execution within agreed scope, budget, quality and timelines. Manage requirements, delivery, stakeholder engagement and governance support across multiple programme service lines, consolidating demand into a single prioritised delivery plan and product roadmap. Work with service leads and customer stakeholders to firm up delivery plans from the contracted proposal baseline, including transition from incumbent systems and processes. Act as 4C's primary delivery interface with the prime contractor, consortium partners and customer stakeholders, with clear reporting, communication and expectation management. Plan and lead the passage of deliverables through customer technical governance and security assurance processes (design authorities, approval boards, Secure by Design), in partnership with 4C solution architects. Coordinate 4C Engineering, Product, Consultancy and Support teams, aligning service-line requirements with the 4C product roadmap and release planning. Manage delivery within a software product (COTS licence and support) commercial model, exercising sound judgement over scope, change and product investment trade-offs, and supporting forecasting, budget control and margin management. Ensure compliance with applicable security, accreditation, contractual and quality requirements throughout delivery. Identify, assess and proactively manage risks, issues and dependencies - including cross-service-line and customer-side dependencies. Support business development by contributing delivery expertise to bids, proposals and contract change. Represent 4C Strategies professionally with customers, partners and at relevant industry events. Contribute to the continuous improvement of delivery practices, governance and methodologies across the EMEA Defence organisation. About you You are an experienced Program Manager with a background in defence, software delivery, or other technically complex and regulated environments. You are at your best serving multiple demanding stakeholder groups from a single delivery capability - consolidating competing priorities into one coherent plan and making trade offs visible rather than promising everything to everyone. You are comfortable leading multidisciplinary teams, operating within a consortium or prime/subcontractor structure, and fronting technically demanding governance forums without being the deepest technical expert in the room. You build trust through clear communication, pragmatic problem solving and a collaborative approach, while maintaining a strong focus on quality, governance and commercial discipline. We believe you bring Demonstrated experience delivering complex projects within defence, government, software, or similarly regulated environments. Proven experience leading end-to-end delivery across multidisciplinary teams - ideally serving multiple concurrent customer or stakeholder groups from a shared product or platform. Strong project planning, scheduling, financial management and resource coordination skills. Experience managing customer and partner relationships, and engaging confidently with senior stakeholders. Strong understanding of project governance, risk management, security/assurance processes and quality assurance. Commercial awareness - comfortable managing scope and change within contractual boundaries and recognising the commercial consequences of delivery decisions. Excellent written, verbal and presentation skills. Ability to manage multiple priorities while maintaining a structured and proactive approach. Eligibility to obtain and maintain UK Security Check (SC) clearance. Desirable Experience delivering projects for the UK Ministry of Defence, NATO or other defence organisations. Experience delivering within a consortium, or as a subcontractor to a prime contractor. Experience delivering from within a software product / COTS organisation (licence-and-support commercial models). Experience working with software-enabled capabilities or digital transformation programmes. Familiarity with Agile delivery at scale (e.g. SAFe) alongside structured methodologies. Professional project management certification such as PRINCE2 Practitioner, PMP, MSP or Agile qualifications.
15/07/2026
Full time
About the role As a Program Manager within 4C Strategies' EMEA Defence team, based in Warminster, UK, you will lead 4C's delivery into a major, newly signed, long-term UK defence programme, delivered as part of a multi-partner consortium. 4C provides a market-leading COTS software product, together with configuration, consultancy and support services, that underpins multiple service lines within the wider programme delivery model. The shape of the role is distinctive: you will manage the requirements, delivery plans, stakeholders and governance needs of several programme service lines in parallel, while consolidating that demand into a single coherent delivery plan, a single commercial position, and a single product roadmap. You will own the full delivery lifecycle - from requirement definition and planning through governance, deployment and into support - ensuring commitments are delivered on time, within scope, and to the highest quality standards. You will act as 4C's primary delivery interface with the prime contractor, consortium partners and customer stakeholders, building trusted relationships through clear communication, disciplined governance and honest expectation management. You will work in close partnership with 4C solution architects and technical specialists, who author the technical designs and assurance artefacts - your role is to orchestrate, assure and front that work, not to produce it. This is a long-horizon programme: you will be shaping delivery foundations intended to last more than a decade. Key responsibilities Lead 4C's end-to-end delivery into the programme, ensuring successful execution within agreed scope, budget, quality and timelines. Manage requirements, delivery, stakeholder engagement and governance support across multiple programme service lines, consolidating demand into a single prioritised delivery plan and product roadmap. Work with service leads and customer stakeholders to firm up delivery plans from the contracted proposal baseline, including transition from incumbent systems and processes. Act as 4C's primary delivery interface with the prime contractor, consortium partners and customer stakeholders, with clear reporting, communication and expectation management. Plan and lead the passage of deliverables through customer technical governance and security assurance processes (design authorities, approval boards, Secure by Design), in partnership with 4C solution architects. Coordinate 4C Engineering, Product, Consultancy and Support teams, aligning service-line requirements with the 4C product roadmap and release planning. Manage delivery within a software product (COTS licence and support) commercial model, exercising sound judgement over scope, change and product investment trade-offs, and supporting forecasting, budget control and margin management. Ensure compliance with applicable security, accreditation, contractual and quality requirements throughout delivery. Identify, assess and proactively manage risks, issues and dependencies - including cross-service-line and customer-side dependencies. Support business development by contributing delivery expertise to bids, proposals and contract change. Represent 4C Strategies professionally with customers, partners and at relevant industry events. Contribute to the continuous improvement of delivery practices, governance and methodologies across the EMEA Defence organisation. About you You are an experienced Program Manager with a background in defence, software delivery, or other technically complex and regulated environments. You are at your best serving multiple demanding stakeholder groups from a single delivery capability - consolidating competing priorities into one coherent plan and making trade offs visible rather than promising everything to everyone. You are comfortable leading multidisciplinary teams, operating within a consortium or prime/subcontractor structure, and fronting technically demanding governance forums without being the deepest technical expert in the room. You build trust through clear communication, pragmatic problem solving and a collaborative approach, while maintaining a strong focus on quality, governance and commercial discipline. We believe you bring Demonstrated experience delivering complex projects within defence, government, software, or similarly regulated environments. Proven experience leading end-to-end delivery across multidisciplinary teams - ideally serving multiple concurrent customer or stakeholder groups from a shared product or platform. Strong project planning, scheduling, financial management and resource coordination skills. Experience managing customer and partner relationships, and engaging confidently with senior stakeholders. Strong understanding of project governance, risk management, security/assurance processes and quality assurance. Commercial awareness - comfortable managing scope and change within contractual boundaries and recognising the commercial consequences of delivery decisions. Excellent written, verbal and presentation skills. Ability to manage multiple priorities while maintaining a structured and proactive approach. Eligibility to obtain and maintain UK Security Check (SC) clearance. Desirable Experience delivering projects for the UK Ministry of Defence, NATO or other defence organisations. Experience delivering within a consortium, or as a subcontractor to a prime contractor. Experience delivering from within a software product / COTS organisation (licence-and-support commercial models). Experience working with software-enabled capabilities or digital transformation programmes. Familiarity with Agile delivery at scale (e.g. SAFe) alongside structured methodologies. Professional project management certification such as PRINCE2 Practitioner, PMP, MSP or Agile qualifications.
ReqID: FEQ327R501 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 Databricks 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 Databricks 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 drive 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 (TM) 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 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.
15/07/2026
Full time
ReqID: FEQ327R501 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 Databricks 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 Databricks 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 drive 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 (TM) 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 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.
Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as: Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability. You'll have the opportunity to: Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products, enhance analytical capabilities and improve user experience. Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices. Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement. Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. Represent Bloomberg at industry events, scientific conferences, and within open-source communities. You'll need to have: Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach. Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.
15/07/2026
Full time
Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior AI Engineers with expertise and a passion for Information Retrieval, Search technologies, Natural Language Processing and Generative AI to join our AI Experiences team. Our teams are working on exciting initiatives such as: Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability. You'll have the opportunity to: Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products, enhance analytical capabilities and improve user experience. Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software engineering practices. Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement. Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions. Represent Bloomberg at industry events, scientific conferences, and within open-source communities. You'll need to have: Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach. Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.
Exciting opportunity for an Endur Business Analyst to join this global Energy company for a 6 12 month initial long term contract. 3 days a week in the London office. This is an exciting time to join this world leading Energy company as it evolves from a traditional oil & gas enterprise into a future focused Energy leader. The transformation includes the establishment of a highly successful new Power Trading desk within the Energy Trading team and ventures into cutting edge solutions that address the evolving demands of the Energy sector. These initiatives include advanced Gas infrastructure, LNG technology, effective Energy Storage systems, and green Energy solutions. Roles available Energy Trading (Gas/Power) Front Office Experience and Commercial Operations experience Ideally strong BA experience There are three major releases: EU Gas, EU Power and then Global Emissions. The overall programme is broken down into squads of typically 8 12 people, with a combination of Product Owners, BAs, Developers and Testers. Currently on Endur V24 and planning to go live on V25. The end to end delivery of all systems necessary to manage the systematic trading desk trade flow from deal entry to settlements will be your focus. This value stream will pave the way for rapid incremental roll out of further desks, proving the end to end Endur transaction backbone and downstream (risk & finance) workflows, processes and key interfaces. Significantly de risks the overall delivery by choosing a discreet trading desk with limited interactions with other desks that predominantly trade. We are looking for an experienced energy trading business analyst who wants to expand their knowledge and be part of a strategic programme that will revolutionise the business. Whether you have worked with Endur or are looking to broaden your skill set, this is a great step for you and your career. You will be working on a greenfield, cloud hosted Endur implementation, playing a key role in delivery from design through build to implementation and beyond. You will bring your expertise to the team, working hand in hand with dedicated business SME's to drive the requirements and design for Shell's strategic ETRM solution. Through a combination of focused Endur training and working with existing specialists you'll build your knowledge in this leading ETRM system. As a business analyst, you will work alongside a team of highly skilled professionals, who have pooled their collective decades of knowledge from multiple Endur implementations to rewrite best practice at the heart of what we do. The expansive reach of this programme will give individuals the opportunity to build depth of end to end trading life cycle experience and expand knowledge into new commodities. What you will bring Track record of end to end project lifecycle delivery Strong BA experience, including capturing business problems, value drivers and functional/non functional requirements Experience running workshops and user acceptance testing Demonstratable stakeholder management skills Experience working in Agile project delivery Energy Trading Experience - Essential Experience of energy trading markets, with a strong understanding of European Gas, including gas networks, balancing, scheduling, capacity, transportation, pricing, position, P&L and exposure management A working knowledge of different trading instruments, including: OTC transactions - forwards, storage, swing deals, swaps and simple options Exchange traded futures & options lifecycle, including cascading Optional skills CBAP (Certified Business Analysis Professional) or PMI PBA certification preferred Lean Practitioner training and experience is an asset Agile certifications/trainings preferred This role requires a positive attitude and an ability to work within a large, globally dispersed project team in a multi cultural environment. It calls for a self starter, a logical thinker, a quick learner, and strong initiative with excellent communication, interpersonal and presentation skills, able to write clearly and concisely. We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age.
15/07/2026
Full time
Exciting opportunity for an Endur Business Analyst to join this global Energy company for a 6 12 month initial long term contract. 3 days a week in the London office. This is an exciting time to join this world leading Energy company as it evolves from a traditional oil & gas enterprise into a future focused Energy leader. The transformation includes the establishment of a highly successful new Power Trading desk within the Energy Trading team and ventures into cutting edge solutions that address the evolving demands of the Energy sector. These initiatives include advanced Gas infrastructure, LNG technology, effective Energy Storage systems, and green Energy solutions. Roles available Energy Trading (Gas/Power) Front Office Experience and Commercial Operations experience Ideally strong BA experience There are three major releases: EU Gas, EU Power and then Global Emissions. The overall programme is broken down into squads of typically 8 12 people, with a combination of Product Owners, BAs, Developers and Testers. Currently on Endur V24 and planning to go live on V25. The end to end delivery of all systems necessary to manage the systematic trading desk trade flow from deal entry to settlements will be your focus. This value stream will pave the way for rapid incremental roll out of further desks, proving the end to end Endur transaction backbone and downstream (risk & finance) workflows, processes and key interfaces. Significantly de risks the overall delivery by choosing a discreet trading desk with limited interactions with other desks that predominantly trade. We are looking for an experienced energy trading business analyst who wants to expand their knowledge and be part of a strategic programme that will revolutionise the business. Whether you have worked with Endur or are looking to broaden your skill set, this is a great step for you and your career. You will be working on a greenfield, cloud hosted Endur implementation, playing a key role in delivery from design through build to implementation and beyond. You will bring your expertise to the team, working hand in hand with dedicated business SME's to drive the requirements and design for Shell's strategic ETRM solution. Through a combination of focused Endur training and working with existing specialists you'll build your knowledge in this leading ETRM system. As a business analyst, you will work alongside a team of highly skilled professionals, who have pooled their collective decades of knowledge from multiple Endur implementations to rewrite best practice at the heart of what we do. The expansive reach of this programme will give individuals the opportunity to build depth of end to end trading life cycle experience and expand knowledge into new commodities. What you will bring Track record of end to end project lifecycle delivery Strong BA experience, including capturing business problems, value drivers and functional/non functional requirements Experience running workshops and user acceptance testing Demonstratable stakeholder management skills Experience working in Agile project delivery Energy Trading Experience - Essential Experience of energy trading markets, with a strong understanding of European Gas, including gas networks, balancing, scheduling, capacity, transportation, pricing, position, P&L and exposure management A working knowledge of different trading instruments, including: OTC transactions - forwards, storage, swing deals, swaps and simple options Exchange traded futures & options lifecycle, including cascading Optional skills CBAP (Certified Business Analysis Professional) or PMI PBA certification preferred Lean Practitioner training and experience is an asset Agile certifications/trainings preferred This role requires a positive attitude and an ability to work within a large, globally dispersed project team in a multi cultural environment. It calls for a self starter, a logical thinker, a quick learner, and strong initiative with excellent communication, interpersonal and presentation skills, able to write clearly and concisely. We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age.
Senior Software Engineer Department: Engineering Employment Type: Permanent Location: Middleton Stoney, United Kingdom Reporting To: John Turner Description The successful applicant will have experience working on projects in relation to Web client/server applications within an engineering manufacturing environment. It is key to this role that you have experience of working with hardware and communication protocols. You will also have responsibility for designing, developing, and maintaining software for our products. Key Responsibilities Plan, track, and manage software projects - working both independently and collaboratively within Agile teams to meet project objectives and deadlines. Design, develop, test, and maintain application and GUI software across the full software development lifecycle. Capture and interpret customer and user requirements to deliver high quality, reliable software solutions. Develop and maintain real time and post process data analysis software, incorporating mathematical algorithms and visualisation tools. Apply relevant expertise in order to create robust, scalable, and maintainable code; whilst adhering to company policies and processes. Develop and maintain software architecture using best practices such as multi threading, design patterns, and SOLID principles. Specify, install, and maintain development tools and technologies (e.g., GitLab DevOps, IDEs, testing frameworks). Investigate and resolve software issues or feature requests raised by internal teams, representatives, or customers. Contribute to R&D initiatives by identifying opportunities for innovation and improvement in existing or new software products. Work on cross platform projects including cloud based, RESTful APIs, and client/server based solutions. Provide guidance, mentoring, and technical support to junior team members. Skills, Knowledge and Expertise Minimum of 2:1 degree in programming or computer science or equivalent industry experience required. Strong programming skills in C# and XAML, with experience using .NET / .NET Core frameworks and cloud based architectures such as AWS. Solid understanding of software architecture, design patterns, and multi threaded applications. Experience developing user interfaces, data visualisation tools, and interactive software. Proficient in version control, testing, and release management. Experience practitioner of Agile methodologies and collaborative software development environments. Excellent problem solving and analytical skills, with a logical and creative approach to challenges. Strong communication and teamwork, able to work effectively across technical and non technical teams. Self motivated and results driven, with the ability to manage priorities and meet deadlines. Committed to high standards, quality, and continuous improvement in all aspects of work. Experience mentoring or supporting junior engineers is advantageous. Benefits Discretionary annual profit share bonus Holiday entitlement of 27 days plus bank holidays 5% employee and 5% employer contributions through our via our salary sacrifice workplace pension scheme with Scottish Widows Group Income Protection Insurance Scheme Private Medical Insurance Death In Service Scheme Electric Vehicle Scheme Smart casual dress code
15/07/2026
Full time
Senior Software Engineer Department: Engineering Employment Type: Permanent Location: Middleton Stoney, United Kingdom Reporting To: John Turner Description The successful applicant will have experience working on projects in relation to Web client/server applications within an engineering manufacturing environment. It is key to this role that you have experience of working with hardware and communication protocols. You will also have responsibility for designing, developing, and maintaining software for our products. Key Responsibilities Plan, track, and manage software projects - working both independently and collaboratively within Agile teams to meet project objectives and deadlines. Design, develop, test, and maintain application and GUI software across the full software development lifecycle. Capture and interpret customer and user requirements to deliver high quality, reliable software solutions. Develop and maintain real time and post process data analysis software, incorporating mathematical algorithms and visualisation tools. Apply relevant expertise in order to create robust, scalable, and maintainable code; whilst adhering to company policies and processes. Develop and maintain software architecture using best practices such as multi threading, design patterns, and SOLID principles. Specify, install, and maintain development tools and technologies (e.g., GitLab DevOps, IDEs, testing frameworks). Investigate and resolve software issues or feature requests raised by internal teams, representatives, or customers. Contribute to R&D initiatives by identifying opportunities for innovation and improvement in existing or new software products. Work on cross platform projects including cloud based, RESTful APIs, and client/server based solutions. Provide guidance, mentoring, and technical support to junior team members. Skills, Knowledge and Expertise Minimum of 2:1 degree in programming or computer science or equivalent industry experience required. Strong programming skills in C# and XAML, with experience using .NET / .NET Core frameworks and cloud based architectures such as AWS. Solid understanding of software architecture, design patterns, and multi threaded applications. Experience developing user interfaces, data visualisation tools, and interactive software. Proficient in version control, testing, and release management. Experience practitioner of Agile methodologies and collaborative software development environments. Excellent problem solving and analytical skills, with a logical and creative approach to challenges. Strong communication and teamwork, able to work effectively across technical and non technical teams. Self motivated and results driven, with the ability to manage priorities and meet deadlines. Committed to high standards, quality, and continuous improvement in all aspects of work. Experience mentoring or supporting junior engineers is advantageous. Benefits Discretionary annual profit share bonus Holiday entitlement of 27 days plus bank holidays 5% employee and 5% employer contributions through our via our salary sacrifice workplace pension scheme with Scottish Widows Group Income Protection Insurance Scheme Private Medical Insurance Death In Service Scheme Electric Vehicle Scheme Smart casual dress code
Enterprise Hybrid Platform Architect (Advisory) - Manager - National Security Location: Bristol, London & Other locations Important - due to the nature of the work, it is essential for applicants to hold current 'National Security Vetting' aligned to a UK National Security organisation. KPMG Overview KPMG is part of a global network of firms that offers Audit, Tax, Consulting, Deal Advisory and Technology services. Through the talent of over 17,000 colleagues, we bring our creativity and insight to our clients' most critical challenges. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in. KPMG's AI & Platform Engineering practice helps clients transform the way they deliver the technology underpinnings of their businesses. We work with the UK's largest and most complex organisations to: Develop strategies for the adoption and exploitation of modern platform technologies - both in the cloud and on-premises. Build the operating models, architectures and capabilities to deliver value from cloud and hybrid platforms. Help clients operate their platform estates effectively and cost efficiently over the long term. We need Hybrid Platform Architects that are comfortable providing advice and delivering to C suite leaders and senior client technologists across our whole client base but, in particular, this role will be aligned to our well established National Security team. National Security The National Security sector is one of KPMG's key priority sectors, and we have ambitions for high growth over the next three years. It is anticipated that this role will be a key contributor to that growth. The Role Enterprises, when starting on their modernisation journey, often imagine that they will simplify their environment. The reality for many, however, is that adoption of technologies such as cloud adds additional technologies and capabilities, drives divergence in operating models, often splits business processes across multiple tech stacks in different landing zones and, overall, adds significant complexity to the enterprise estate. The platform architect must make sense of this new complexity, and be able to tame it through judicious use of both old and new technologies coupled with "hybrid" processes that address the needs of both the legacy and the new platform environments. They must have a strong knowledge of both the traditional enterprise landscape, as well as a thorough appreciation of the major cloud platforms and the opportunities, capabilities and pitfalls they present. Skills, Qualifications and Experience Required We are seeking developing technical leaders who can communicate and manage relationships with senior stakeholders, build compelling transformation journeys and be a key player in their delivery. You will have proven experience in helping clients to shape and deliver technology enabled change that delivers value, security, agility and efficiency. You have developed enterprise level technology strategies and contributed to the definition of the associated programs of work. You have experience of delivering complex architectural solutions on cloud or hybrid environments and also the integration of new platforms into the wider enterprise You should have experience across disciplines, for example: business analysis, systems thinking, solution architecture, technical architecture, data architecture and data science. You have knowledge of a variety of systems thinking and systems integration approaches and techniques, and the ability to apply them to understand, frame and solve problems. You must have a strong knowledge of traditional platform delivery approaches, technologies and op models, and a thorough appreciation of the capabilities of the major cloud platforms - Azure, GCP but particular depth, skills and experience in AWS. You understand, and can balance, the trade offs in using "one size fits all" vs "landing zone specific" solutions. You must understand the importance of both enterprise MI, for long term decision making, and (near) real time observability for operations. You should have an appreciation of different operating models associated with both legacy and cloud environments, and be able to contribute to op model design and implementation. You can manage technical reviews and assessments of platform strategy, roadmaps, data models, cloud integration and migration tools. You are a team player that thrives in a diverse culture, inspiring and motivating others. Ideally you will hold recognised industry qualifications appropriate to the role and your seniority. You must be a practitioner more than a theorist. You are passionate about technology, but thrive in multi disciplinary teams. You must be highly credible in front of both client and your colleagues. You will act as a source of support for customers, throughout the transformation journey, building relationships and helping to ensure the successful implementation of major change. Key Responsibilities: As a Manager at KPMG we will expect you to: Have strong hands on skills in a relevant technical area Be comfortable running technical workstreams within larger projects Provide highly credible and informative thought leadership, based on real life experience. Design roadmaps, implementation strategies, transformation plans and solution architectures. Provide broad and detailed insight across a range of technology areas including integration and hybrid hosting scenarios. Work with colleagues to maximise the use of our knowledge and experience. Leverage your overarching expertise and network to generate new client opportunities Drive the development of propositions and assets, bringing a National Security perspective to them. Share knowledge - coaching and advising colleagues. Develop strong client relationships with client stakeholders, to understand their business problems, and identify commercial opportunities for KPMG. Base Location The role will preferably be based at our London, Manchester of Bristol offices, though others will be considered. Note, however, that client constraints may result in a requirement to be on client site for a significant proportion of the week (depending on project). Significant travel within the UK may be required. With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients. They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter. From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you. We're committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this. We're a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities.
14/07/2026
Full time
Enterprise Hybrid Platform Architect (Advisory) - Manager - National Security Location: Bristol, London & Other locations Important - due to the nature of the work, it is essential for applicants to hold current 'National Security Vetting' aligned to a UK National Security organisation. KPMG Overview KPMG is part of a global network of firms that offers Audit, Tax, Consulting, Deal Advisory and Technology services. Through the talent of over 17,000 colleagues, we bring our creativity and insight to our clients' most critical challenges. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in. KPMG's AI & Platform Engineering practice helps clients transform the way they deliver the technology underpinnings of their businesses. We work with the UK's largest and most complex organisations to: Develop strategies for the adoption and exploitation of modern platform technologies - both in the cloud and on-premises. Build the operating models, architectures and capabilities to deliver value from cloud and hybrid platforms. Help clients operate their platform estates effectively and cost efficiently over the long term. We need Hybrid Platform Architects that are comfortable providing advice and delivering to C suite leaders and senior client technologists across our whole client base but, in particular, this role will be aligned to our well established National Security team. National Security The National Security sector is one of KPMG's key priority sectors, and we have ambitions for high growth over the next three years. It is anticipated that this role will be a key contributor to that growth. The Role Enterprises, when starting on their modernisation journey, often imagine that they will simplify their environment. The reality for many, however, is that adoption of technologies such as cloud adds additional technologies and capabilities, drives divergence in operating models, often splits business processes across multiple tech stacks in different landing zones and, overall, adds significant complexity to the enterprise estate. The platform architect must make sense of this new complexity, and be able to tame it through judicious use of both old and new technologies coupled with "hybrid" processes that address the needs of both the legacy and the new platform environments. They must have a strong knowledge of both the traditional enterprise landscape, as well as a thorough appreciation of the major cloud platforms and the opportunities, capabilities and pitfalls they present. Skills, Qualifications and Experience Required We are seeking developing technical leaders who can communicate and manage relationships with senior stakeholders, build compelling transformation journeys and be a key player in their delivery. You will have proven experience in helping clients to shape and deliver technology enabled change that delivers value, security, agility and efficiency. You have developed enterprise level technology strategies and contributed to the definition of the associated programs of work. You have experience of delivering complex architectural solutions on cloud or hybrid environments and also the integration of new platforms into the wider enterprise You should have experience across disciplines, for example: business analysis, systems thinking, solution architecture, technical architecture, data architecture and data science. You have knowledge of a variety of systems thinking and systems integration approaches and techniques, and the ability to apply them to understand, frame and solve problems. You must have a strong knowledge of traditional platform delivery approaches, technologies and op models, and a thorough appreciation of the capabilities of the major cloud platforms - Azure, GCP but particular depth, skills and experience in AWS. You understand, and can balance, the trade offs in using "one size fits all" vs "landing zone specific" solutions. You must understand the importance of both enterprise MI, for long term decision making, and (near) real time observability for operations. You should have an appreciation of different operating models associated with both legacy and cloud environments, and be able to contribute to op model design and implementation. You can manage technical reviews and assessments of platform strategy, roadmaps, data models, cloud integration and migration tools. You are a team player that thrives in a diverse culture, inspiring and motivating others. Ideally you will hold recognised industry qualifications appropriate to the role and your seniority. You must be a practitioner more than a theorist. You are passionate about technology, but thrive in multi disciplinary teams. You must be highly credible in front of both client and your colleagues. You will act as a source of support for customers, throughout the transformation journey, building relationships and helping to ensure the successful implementation of major change. Key Responsibilities: As a Manager at KPMG we will expect you to: Have strong hands on skills in a relevant technical area Be comfortable running technical workstreams within larger projects Provide highly credible and informative thought leadership, based on real life experience. Design roadmaps, implementation strategies, transformation plans and solution architectures. Provide broad and detailed insight across a range of technology areas including integration and hybrid hosting scenarios. Work with colleagues to maximise the use of our knowledge and experience. Leverage your overarching expertise and network to generate new client opportunities Drive the development of propositions and assets, bringing a National Security perspective to them. Share knowledge - coaching and advising colleagues. Develop strong client relationships with client stakeholders, to understand their business problems, and identify commercial opportunities for KPMG. Base Location The role will preferably be based at our London, Manchester of Bristol offices, though others will be considered. Note, however, that client constraints may result in a requirement to be on client site for a significant proportion of the week (depending on project). Significant travel within the UK may be required. With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients. They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter. From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you. We're committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this. We're a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities.
Enterprise Hybrid Platform Architect (Advisory) - Manager - National Security Location: Bristol, London & Other locations Important - due to the nature of the work, it is essential for applicants to hold current 'National Security Vetting' aligned to a UK National Security organisation. KPMG Overview KPMG is part of a global network of firms that offers Audit, Tax, Consulting, Deal Advisory and Technology services. Through the talent of over 17,000 colleagues, we bring our creativity and insight to our clients' most critical challenges. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in. KPMG's AI & Platform Engineering practice helps clients transform the way they deliver the technology underpinnings of their businesses. We work with the UK's largest and most complex organisations to: Develop strategies for the adoption and exploitation of modern platform technologies - both in the cloud and on-premises. Build the operating models, architectures and capabilities to deliver value from cloud and hybrid platforms. Help clients operate their platform estates effectively and cost efficiently over the long term. We need Hybrid Platform Architects that are comfortable providing advice and delivering to C suite leaders and senior client technologists across our whole client base but, in particular, this role will be aligned to our well established National Security team. National Security The National Security sector is one of KPMG's key priority sectors, and we have ambitions for high growth over the next three years. It is anticipated that this role will be a key contributor to that growth. The Role Enterprises, when starting on their modernisation journey, often imagine that they will simplify their environment. The reality for many, however, is that adoption of technologies such as cloud adds additional technologies and capabilities, drives divergence in operating models, often splits business processes across multiple tech stacks in different landing zones and, overall, adds significant complexity to the enterprise estate. The platform architect must make sense of this new complexity, and be able to tame it through judicious use of both old and new technologies coupled with "hybrid" processes that address the needs of both the legacy and the new platform environments. They must have a strong knowledge of both the traditional enterprise landscape, as well as a thorough appreciation of the major cloud platforms and the opportunities, capabilities and pitfalls they present. Skills, Qualifications and Experience Required We are seeking developing technical leaders who can communicate and manage relationships with senior stakeholders, build compelling transformation journeys and be a key player in their delivery. You will have proven experience in helping clients to shape and deliver technology enabled change that delivers value, security, agility and efficiency. You have developed enterprise level technology strategies and contributed to the definition of the associated programs of work. You have experience of delivering complex architectural solutions on cloud or hybrid environments and also the integration of new platforms into the wider enterprise You should have experience across disciplines, for example: business analysis, systems thinking, solution architecture, technical architecture, data architecture and data science. You have knowledge of a variety of systems thinking and systems integration approaches and techniques, and the ability to apply them to understand, frame and solve problems. You must have a strong knowledge of traditional platform delivery approaches, technologies and op models, and a thorough appreciation of the capabilities of the major cloud platforms - Azure, GCP but particular depth, skills and experience in AWS. You understand, and can balance, the trade offs in using "one size fits all" vs "landing zone specific" solutions. You must understand the importance of both enterprise MI, for long term decision making, and (near) real time observability for operations. You should have an appreciation of different operating models associated with both legacy and cloud environments, and be able to contribute to op model design and implementation. You can manage technical reviews and assessments of platform strategy, roadmaps, data models, cloud integration and migration tools. You are a team player that thrives in a diverse culture, inspiring and motivating others. Ideally you will hold recognised industry qualifications appropriate to the role and your seniority. You must be a practitioner more than a theorist. You are passionate about technology, but thrive in multi disciplinary teams. You must be highly credible in front of both client and your colleagues. You will act as a source of support for customers, throughout the transformation journey, building relationships and helping to ensure the successful implementation of major change. Key Responsibilities: As a Manager at KPMG we will expect you to: Have strong hands on skills in a relevant technical area Be comfortable running technical workstreams within larger projects Provide highly credible and informative thought leadership, based on real life experience. Design roadmaps, implementation strategies, transformation plans and solution architectures. Provide broad and detailed insight across a range of technology areas including integration and hybrid hosting scenarios. Work with colleagues to maximise the use of our knowledge and experience. Leverage your overarching expertise and network to generate new client opportunities Drive the development of propositions and assets, bringing a National Security perspective to them. Share knowledge - coaching and advising colleagues. Develop strong client relationships with client stakeholders, to understand their business problems, and identify commercial opportunities for KPMG. Base Location The role will preferably be based at our London, Manchester of Bristol offices, though others will be considered. Note, however, that client constraints may result in a requirement to be on client site for a significant proportion of the week (depending on project). Significant travel within the UK may be required. With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients. They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter. From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you. We're committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this. We're a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities.
14/07/2026
Full time
Enterprise Hybrid Platform Architect (Advisory) - Manager - National Security Location: Bristol, London & Other locations Important - due to the nature of the work, it is essential for applicants to hold current 'National Security Vetting' aligned to a UK National Security organisation. KPMG Overview KPMG is part of a global network of firms that offers Audit, Tax, Consulting, Deal Advisory and Technology services. Through the talent of over 17,000 colleagues, we bring our creativity and insight to our clients' most critical challenges. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in. KPMG's AI & Platform Engineering practice helps clients transform the way they deliver the technology underpinnings of their businesses. We work with the UK's largest and most complex organisations to: Develop strategies for the adoption and exploitation of modern platform technologies - both in the cloud and on-premises. Build the operating models, architectures and capabilities to deliver value from cloud and hybrid platforms. Help clients operate their platform estates effectively and cost efficiently over the long term. We need Hybrid Platform Architects that are comfortable providing advice and delivering to C suite leaders and senior client technologists across our whole client base but, in particular, this role will be aligned to our well established National Security team. National Security The National Security sector is one of KPMG's key priority sectors, and we have ambitions for high growth over the next three years. It is anticipated that this role will be a key contributor to that growth. The Role Enterprises, when starting on their modernisation journey, often imagine that they will simplify their environment. The reality for many, however, is that adoption of technologies such as cloud adds additional technologies and capabilities, drives divergence in operating models, often splits business processes across multiple tech stacks in different landing zones and, overall, adds significant complexity to the enterprise estate. The platform architect must make sense of this new complexity, and be able to tame it through judicious use of both old and new technologies coupled with "hybrid" processes that address the needs of both the legacy and the new platform environments. They must have a strong knowledge of both the traditional enterprise landscape, as well as a thorough appreciation of the major cloud platforms and the opportunities, capabilities and pitfalls they present. Skills, Qualifications and Experience Required We are seeking developing technical leaders who can communicate and manage relationships with senior stakeholders, build compelling transformation journeys and be a key player in their delivery. You will have proven experience in helping clients to shape and deliver technology enabled change that delivers value, security, agility and efficiency. You have developed enterprise level technology strategies and contributed to the definition of the associated programs of work. You have experience of delivering complex architectural solutions on cloud or hybrid environments and also the integration of new platforms into the wider enterprise You should have experience across disciplines, for example: business analysis, systems thinking, solution architecture, technical architecture, data architecture and data science. You have knowledge of a variety of systems thinking and systems integration approaches and techniques, and the ability to apply them to understand, frame and solve problems. You must have a strong knowledge of traditional platform delivery approaches, technologies and op models, and a thorough appreciation of the capabilities of the major cloud platforms - Azure, GCP but particular depth, skills and experience in AWS. You understand, and can balance, the trade offs in using "one size fits all" vs "landing zone specific" solutions. You must understand the importance of both enterprise MI, for long term decision making, and (near) real time observability for operations. You should have an appreciation of different operating models associated with both legacy and cloud environments, and be able to contribute to op model design and implementation. You can manage technical reviews and assessments of platform strategy, roadmaps, data models, cloud integration and migration tools. You are a team player that thrives in a diverse culture, inspiring and motivating others. Ideally you will hold recognised industry qualifications appropriate to the role and your seniority. You must be a practitioner more than a theorist. You are passionate about technology, but thrive in multi disciplinary teams. You must be highly credible in front of both client and your colleagues. You will act as a source of support for customers, throughout the transformation journey, building relationships and helping to ensure the successful implementation of major change. Key Responsibilities: As a Manager at KPMG we will expect you to: Have strong hands on skills in a relevant technical area Be comfortable running technical workstreams within larger projects Provide highly credible and informative thought leadership, based on real life experience. Design roadmaps, implementation strategies, transformation plans and solution architectures. Provide broad and detailed insight across a range of technology areas including integration and hybrid hosting scenarios. Work with colleagues to maximise the use of our knowledge and experience. Leverage your overarching expertise and network to generate new client opportunities Drive the development of propositions and assets, bringing a National Security perspective to them. Share knowledge - coaching and advising colleagues. Develop strong client relationships with client stakeholders, to understand their business problems, and identify commercial opportunities for KPMG. Base Location The role will preferably be based at our London, Manchester of Bristol offices, though others will be considered. Note, however, that client constraints may result in a requirement to be on client site for a significant proportion of the week (depending on project). Significant travel within the UK may be required. With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients. They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter. From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you. We're committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this. We're a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities.
Enterprise Hybrid Platform Architect (Advisory) - Manager - National Security Location: Bristol, London & Other locations Important - due to the nature of the work, it is essential for applicants to hold current 'National Security Vetting' aligned to a UK National Security organisation. KPMG Overview KPMG is part of a global network of firms that offers Audit, Tax, Consulting, Deal Advisory and Technology services. Through the talent of over 17,000 colleagues, we bring our creativity and insight to our clients' most critical challenges. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in. KPMG's AI & Platform Engineering practice helps clients transform the way they deliver the technology underpinnings of their businesses. We work with the UK's largest and most complex organisations to: Develop strategies for the adoption and exploitation of modern platform technologies - both in the cloud and on-premises. Build the operating models, architectures and capabilities to deliver value from cloud and hybrid platforms. Help clients operate their platform estates effectively and cost efficiently over the long term. We need Hybrid Platform Architects that are comfortable providing advice and delivering to C suite leaders and senior client technologists across our whole client base but, in particular, this role will be aligned to our well established National Security team. National Security The National Security sector is one of KPMG's key priority sectors, and we have ambitions for high growth over the next three years. It is anticipated that this role will be a key contributor to that growth. The Role Enterprises, when starting on their modernisation journey, often imagine that they will simplify their environment. The reality for many, however, is that adoption of technologies such as cloud adds additional technologies and capabilities, drives divergence in operating models, often splits business processes across multiple tech stacks in different landing zones and, overall, adds significant complexity to the enterprise estate. The platform architect must make sense of this new complexity, and be able to tame it through judicious use of both old and new technologies coupled with "hybrid" processes that address the needs of both the legacy and the new platform environments. They must have a strong knowledge of both the traditional enterprise landscape, as well as a thorough appreciation of the major cloud platforms and the opportunities, capabilities and pitfalls they present. Skills, Qualifications and Experience Required We are seeking developing technical leaders who can communicate and manage relationships with senior stakeholders, build compelling transformation journeys and be a key player in their delivery. You will have proven experience in helping clients to shape and deliver technology enabled change that delivers value, security, agility and efficiency. You have developed enterprise level technology strategies and contributed to the definition of the associated programs of work. You have experience of delivering complex architectural solutions on cloud or hybrid environments and also the integration of new platforms into the wider enterprise You should have experience across disciplines, for example: business analysis, systems thinking, solution architecture, technical architecture, data architecture and data science. You have knowledge of a variety of systems thinking and systems integration approaches and techniques, and the ability to apply them to understand, frame and solve problems. You must have a strong knowledge of traditional platform delivery approaches, technologies and op models, and a thorough appreciation of the capabilities of the major cloud platforms - Azure, GCP but particular depth, skills and experience in AWS. You understand, and can balance, the trade offs in using "one size fits all" vs "landing zone specific" solutions. You must understand the importance of both enterprise MI, for long term decision making, and (near) real time observability for operations. You should have an appreciation of different operating models associated with both legacy and cloud environments, and be able to contribute to op model design and implementation. You can manage technical reviews and assessments of platform strategy, roadmaps, data models, cloud integration and migration tools. You are a team player that thrives in a diverse culture, inspiring and motivating others. Ideally you will hold recognised industry qualifications appropriate to the role and your seniority. You must be a practitioner more than a theorist. You are passionate about technology, but thrive in multi disciplinary teams. You must be highly credible in front of both client and your colleagues. You will act as a source of support for customers, throughout the transformation journey, building relationships and helping to ensure the successful implementation of major change. Key Responsibilities: As a Manager at KPMG we will expect you to: Have strong hands on skills in a relevant technical area Be comfortable running technical workstreams within larger projects Provide highly credible and informative thought leadership, based on real life experience. Design roadmaps, implementation strategies, transformation plans and solution architectures. Provide broad and detailed insight across a range of technology areas including integration and hybrid hosting scenarios. Work with colleagues to maximise the use of our knowledge and experience. Leverage your overarching expertise and network to generate new client opportunities Drive the development of propositions and assets, bringing a National Security perspective to them. Share knowledge - coaching and advising colleagues. Develop strong client relationships with client stakeholders, to understand their business problems, and identify commercial opportunities for KPMG. Base Location The role will preferably be based at our London, Manchester of Bristol offices, though others will be considered. Note, however, that client constraints may result in a requirement to be on client site for a significant proportion of the week (depending on project). Significant travel within the UK may be required. With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients. They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter. From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you. We're committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this. We're a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities.
14/07/2026
Full time
Enterprise Hybrid Platform Architect (Advisory) - Manager - National Security Location: Bristol, London & Other locations Important - due to the nature of the work, it is essential for applicants to hold current 'National Security Vetting' aligned to a UK National Security organisation. KPMG Overview KPMG is part of a global network of firms that offers Audit, Tax, Consulting, Deal Advisory and Technology services. Through the talent of over 17,000 colleagues, we bring our creativity and insight to our clients' most critical challenges. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in. KPMG's AI & Platform Engineering practice helps clients transform the way they deliver the technology underpinnings of their businesses. We work with the UK's largest and most complex organisations to: Develop strategies for the adoption and exploitation of modern platform technologies - both in the cloud and on-premises. Build the operating models, architectures and capabilities to deliver value from cloud and hybrid platforms. Help clients operate their platform estates effectively and cost efficiently over the long term. We need Hybrid Platform Architects that are comfortable providing advice and delivering to C suite leaders and senior client technologists across our whole client base but, in particular, this role will be aligned to our well established National Security team. National Security The National Security sector is one of KPMG's key priority sectors, and we have ambitions for high growth over the next three years. It is anticipated that this role will be a key contributor to that growth. The Role Enterprises, when starting on their modernisation journey, often imagine that they will simplify their environment. The reality for many, however, is that adoption of technologies such as cloud adds additional technologies and capabilities, drives divergence in operating models, often splits business processes across multiple tech stacks in different landing zones and, overall, adds significant complexity to the enterprise estate. The platform architect must make sense of this new complexity, and be able to tame it through judicious use of both old and new technologies coupled with "hybrid" processes that address the needs of both the legacy and the new platform environments. They must have a strong knowledge of both the traditional enterprise landscape, as well as a thorough appreciation of the major cloud platforms and the opportunities, capabilities and pitfalls they present. Skills, Qualifications and Experience Required We are seeking developing technical leaders who can communicate and manage relationships with senior stakeholders, build compelling transformation journeys and be a key player in their delivery. You will have proven experience in helping clients to shape and deliver technology enabled change that delivers value, security, agility and efficiency. You have developed enterprise level technology strategies and contributed to the definition of the associated programs of work. You have experience of delivering complex architectural solutions on cloud or hybrid environments and also the integration of new platforms into the wider enterprise You should have experience across disciplines, for example: business analysis, systems thinking, solution architecture, technical architecture, data architecture and data science. You have knowledge of a variety of systems thinking and systems integration approaches and techniques, and the ability to apply them to understand, frame and solve problems. You must have a strong knowledge of traditional platform delivery approaches, technologies and op models, and a thorough appreciation of the capabilities of the major cloud platforms - Azure, GCP but particular depth, skills and experience in AWS. You understand, and can balance, the trade offs in using "one size fits all" vs "landing zone specific" solutions. You must understand the importance of both enterprise MI, for long term decision making, and (near) real time observability for operations. You should have an appreciation of different operating models associated with both legacy and cloud environments, and be able to contribute to op model design and implementation. You can manage technical reviews and assessments of platform strategy, roadmaps, data models, cloud integration and migration tools. You are a team player that thrives in a diverse culture, inspiring and motivating others. Ideally you will hold recognised industry qualifications appropriate to the role and your seniority. You must be a practitioner more than a theorist. You are passionate about technology, but thrive in multi disciplinary teams. You must be highly credible in front of both client and your colleagues. You will act as a source of support for customers, throughout the transformation journey, building relationships and helping to ensure the successful implementation of major change. Key Responsibilities: As a Manager at KPMG we will expect you to: Have strong hands on skills in a relevant technical area Be comfortable running technical workstreams within larger projects Provide highly credible and informative thought leadership, based on real life experience. Design roadmaps, implementation strategies, transformation plans and solution architectures. Provide broad and detailed insight across a range of technology areas including integration and hybrid hosting scenarios. Work with colleagues to maximise the use of our knowledge and experience. Leverage your overarching expertise and network to generate new client opportunities Drive the development of propositions and assets, bringing a National Security perspective to them. Share knowledge - coaching and advising colleagues. Develop strong client relationships with client stakeholders, to understand their business problems, and identify commercial opportunities for KPMG. Base Location The role will preferably be based at our London, Manchester of Bristol offices, though others will be considered. Note, however, that client constraints may result in a requirement to be on client site for a significant proportion of the week (depending on project). Significant travel within the UK may be required. With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients. They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter. From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you. We're committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this. We're a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities.
Location The locations for this role are Newport and Titchfield (Fareham). This role requires attendance at an ONS office, where all working days will be office based. The post holder will be expected to work in the office to undertake in-person activities. The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is the UK's largest producer of official statistics, covering a range of key economic, social and demographic topics. These include measuring changes in the value of the UK economy, estimating the size, geographic distribution and characteristics of the population, and providing indicators of price inflation, employment, earnings, crime and migration. Are you innovative with the energy and motivation to lead exciting technical and cultural change? Our Digital Services (DS) Directorate develops and operates much of the technology and services that ONS uses to deliver. Demand for data and statistics are increasing, and DS has a critical role in enabling the business to meet these demands. We are seeking an experienced, proactive and enthusiastic Senior Infrastructure Engineer who is motivated to take ownership of our Mobile Device Management (MDM) Service within the User Experience & Support Service Team. Job description As a Senior Infrastructure Engineer, you will build, manage, and support the infrastructure services that underpin the Corporate Device and Service operations service. As a Senior infrastructure Engineer in the User Experience and support team you will be responsible for the end-to-end lifecycle management of mobile devices and MacBooks, utilising enterprise platform tools such as Intune, Jamf, Knox, and Apple Business Manager. You will ensure that the service operates effectively, is well-governed, and aligns with both user needs and organisational objectives. This includes maintaining strong control frameworks, delivering high-quality user support, and continuously improving the overall user experience across all managed devices and platforms. We are looking for excellent customer service and interpersonal skills, with the proven ability to deliver quality outputs in a fast-paced environment. You will have the capability to work under pressure and prioritise effectively as well a proven record of stakeholder management with both internal and external customers. You will have the skills to influence and challenge existing processes, using your communication skills to handle challenging conversations. Responsibilities Defining, building, bringing into service, operating, supporting, performance monitoring, continually improving and decommissioning Infrastructure services (SaaS, IaaS, and PaaS), products and platforms to serve a variety of user needs. For the services, products and platforms supported you will: Define, Build, operate, configure, monitor and decommission infrastructure services. Manage incidents, requests, changes, and problems. Proactively manage patching, maintenance and upgrade cycles with minimal disruption to live service. Proactively manage configuration, availability, security, capacity, performance, and cost. Engage in continuous improvement activities. Sharing knowledge of tools and techniques and collaborating to improve the capability of the team. Maximise the use of tools and technologies to deliver operational excellence. Participate in BAU and project delivery, providing technical knowledge to add value. Actively participates in the Infrastructure Engineering Community of Practice, identifying good practices operations can adopt and sharing experiences. Take a technical lead in the management of major incidents ensuring that the incident is managed and communicated effectively. Person specification Essential Criteria: Information Security (Working) - Use information security practices and available security controls to contribute to protecting solutions and services. Ownership and Initiative (Working) - Own a problem until a new owner has been found, or the problem has been mitigated or resolved. Troubleshooting and problem resolution (Practitioner) - Break a problem down into its component parts to identify and diagnose root causes. Troubleshoot and identify problems across different technology capabilities. Technical Understanding (Practitioner) - Show a thorough understanding of the technical concepts required for the role and can explain how these fit into the wider technical landscape. Service focus (Practitioner) - Take inputs from various sources and use these to guide the design, development, delivery and operation of a service. You always look to continually improve and get the best out of services you support.
14/07/2026
Full time
Location The locations for this role are Newport and Titchfield (Fareham). This role requires attendance at an ONS office, where all working days will be office based. The post holder will be expected to work in the office to undertake in-person activities. The induction process for the role will be conducted in person. About the job Job summary The Office for National Statistics (ONS) is the UK's largest producer of official statistics, covering a range of key economic, social and demographic topics. These include measuring changes in the value of the UK economy, estimating the size, geographic distribution and characteristics of the population, and providing indicators of price inflation, employment, earnings, crime and migration. Are you innovative with the energy and motivation to lead exciting technical and cultural change? Our Digital Services (DS) Directorate develops and operates much of the technology and services that ONS uses to deliver. Demand for data and statistics are increasing, and DS has a critical role in enabling the business to meet these demands. We are seeking an experienced, proactive and enthusiastic Senior Infrastructure Engineer who is motivated to take ownership of our Mobile Device Management (MDM) Service within the User Experience & Support Service Team. Job description As a Senior Infrastructure Engineer, you will build, manage, and support the infrastructure services that underpin the Corporate Device and Service operations service. As a Senior infrastructure Engineer in the User Experience and support team you will be responsible for the end-to-end lifecycle management of mobile devices and MacBooks, utilising enterprise platform tools such as Intune, Jamf, Knox, and Apple Business Manager. You will ensure that the service operates effectively, is well-governed, and aligns with both user needs and organisational objectives. This includes maintaining strong control frameworks, delivering high-quality user support, and continuously improving the overall user experience across all managed devices and platforms. We are looking for excellent customer service and interpersonal skills, with the proven ability to deliver quality outputs in a fast-paced environment. You will have the capability to work under pressure and prioritise effectively as well a proven record of stakeholder management with both internal and external customers. You will have the skills to influence and challenge existing processes, using your communication skills to handle challenging conversations. Responsibilities Defining, building, bringing into service, operating, supporting, performance monitoring, continually improving and decommissioning Infrastructure services (SaaS, IaaS, and PaaS), products and platforms to serve a variety of user needs. For the services, products and platforms supported you will: Define, Build, operate, configure, monitor and decommission infrastructure services. Manage incidents, requests, changes, and problems. Proactively manage patching, maintenance and upgrade cycles with minimal disruption to live service. Proactively manage configuration, availability, security, capacity, performance, and cost. Engage in continuous improvement activities. Sharing knowledge of tools and techniques and collaborating to improve the capability of the team. Maximise the use of tools and technologies to deliver operational excellence. Participate in BAU and project delivery, providing technical knowledge to add value. Actively participates in the Infrastructure Engineering Community of Practice, identifying good practices operations can adopt and sharing experiences. Take a technical lead in the management of major incidents ensuring that the incident is managed and communicated effectively. Person specification Essential Criteria: Information Security (Working) - Use information security practices and available security controls to contribute to protecting solutions and services. Ownership and Initiative (Working) - Own a problem until a new owner has been found, or the problem has been mitigated or resolved. Troubleshooting and problem resolution (Practitioner) - Break a problem down into its component parts to identify and diagnose root causes. Troubleshoot and identify problems across different technology capabilities. Technical Understanding (Practitioner) - Show a thorough understanding of the technical concepts required for the role and can explain how these fit into the wider technical landscape. Service focus (Practitioner) - Take inputs from various sources and use these to guide the design, development, delivery and operation of a service. You always look to continually improve and get the best out of services you support.
Role Profile Our client seeks an experienced Senior Tester & Business Analyst to join their IT Department. This hybrid role combines strong analytical capability with hands on testing expertise to ensure end to end delivery of high quality business and technical solutions. The successful candidate will collaborate across business, technical, regulatory, and delivery teams, helping shape requirements, validate designs, and ensure systems and processes meet both programme objectives and industry obligations. Key Responsibilities Testing & Quality Assurance: Lead end to end test strategies for system, integration, migration, and operational readiness. Prepare detailed test plans, scripts, and traceability matrices linked to core requirements. Execute system, integration, UAT, and regression testing across multiple systems including utility billing, device management, and integrated platforms. Identify, document, and prioritise defects, lead triage to ensure timely resolution. Validate results and provide data driven go/no go recommendations for deployments and rollout phases. Act as the primary bridge between business units, developers, and third party suppliers. Business Analyst & Process Design Facilitate workshops with operational teams, network operators, and technical stakeholders. Map business processes, identifying risks, gaps, and improvements impacted by rollouts. Perform detailed assessments on proposed system or process changes. Act as a trusted advisor, challenging assumptions to ensure value driven outcomes. Produce user guides, onboarding materials, and process notes to support change management and user adoption. Key Skills and Experience Certifications: Prince2 Practitioner and/or MSP Qualification - Desirable Recognised Business Analyst qualification or equivalent - Essential 3+ Years in a similar role Significant experience in Agile (Scrum, Kanban) and the full Software Development Lifecycle (SDLC). Strong background as a Senior Tester or BA on complex technology change programmes; utility industry experience is highly desirable. Proven track record in systems and integration testing within multi system environments and experience with modern testing platforms such as automation frameworks (Selenium, Playwright), API testing (Postman), and defect tracking tools (Jira, Azure DevOps). Experience supporting operational readiness and creating structured test artefacts and process maps. Ability to use analysis tools such as SQL for data extraction, Excel for quantitative modelling, and BI tools like Power BI or Tableau for visualization. Understanding of system and integration testing Excellent planning skills Experience working with modern analysis and testing toolsets
14/07/2026
Full time
Role Profile Our client seeks an experienced Senior Tester & Business Analyst to join their IT Department. This hybrid role combines strong analytical capability with hands on testing expertise to ensure end to end delivery of high quality business and technical solutions. The successful candidate will collaborate across business, technical, regulatory, and delivery teams, helping shape requirements, validate designs, and ensure systems and processes meet both programme objectives and industry obligations. Key Responsibilities Testing & Quality Assurance: Lead end to end test strategies for system, integration, migration, and operational readiness. Prepare detailed test plans, scripts, and traceability matrices linked to core requirements. Execute system, integration, UAT, and regression testing across multiple systems including utility billing, device management, and integrated platforms. Identify, document, and prioritise defects, lead triage to ensure timely resolution. Validate results and provide data driven go/no go recommendations for deployments and rollout phases. Act as the primary bridge between business units, developers, and third party suppliers. Business Analyst & Process Design Facilitate workshops with operational teams, network operators, and technical stakeholders. Map business processes, identifying risks, gaps, and improvements impacted by rollouts. Perform detailed assessments on proposed system or process changes. Act as a trusted advisor, challenging assumptions to ensure value driven outcomes. Produce user guides, onboarding materials, and process notes to support change management and user adoption. Key Skills and Experience Certifications: Prince2 Practitioner and/or MSP Qualification - Desirable Recognised Business Analyst qualification or equivalent - Essential 3+ Years in a similar role Significant experience in Agile (Scrum, Kanban) and the full Software Development Lifecycle (SDLC). Strong background as a Senior Tester or BA on complex technology change programmes; utility industry experience is highly desirable. Proven track record in systems and integration testing within multi system environments and experience with modern testing platforms such as automation frameworks (Selenium, Playwright), API testing (Postman), and defect tracking tools (Jira, Azure DevOps). Experience supporting operational readiness and creating structured test artefacts and process maps. Ability to use analysis tools such as SQL for data extraction, Excel for quantitative modelling, and BI tools like Power BI or Tableau for visualization. Understanding of system and integration testing Excellent planning skills Experience working with modern analysis and testing toolsets
QA Engineer LOCATION: Belfast, On site Office Location: Belfast About StormHarvester StormHarvester helps wastewater utilities predict and prevent issues like flooding and pollution before they happen, protecting communities and reducing costs. We are the market leader in this space. At its core, StormHarvester's advanced anomaly detection system analyses data from thousands of sensors, turning it into precise, actionable insights that drive smarter decisions. About the role Our products deliver on real-world issues, solving water company and industry problems with existing and new infrastructure which is critical to the environment, economy and everyday living. We are primarily data driven with domain expertise delivering insights to water networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based. We are building on our existing team to onward develop our existing products, and continue growing our customer offerings, base and revenues. We are looking for an experienced and motivated QA Engineer to lead our test strategy and execution. You will architect automation frameworks, implement scalable testing solutions, and play a key role in ensuring the delivery of high-quality, reliable software products. This is a hands on role that also involves mentorship, technical leadership, and close collaboration with DevOps, Developers, and Product teams. Essential Criteria Degree level education in a relevant discipline or equivalent experience 3+ years of experience in QA, with a strong focus on framework development. Proven expertise with test automation tools: Selenium, Cypress, Playwright, or similar. Experience working with the Angular (v16+) framework Hands on experience with scripting/programming languages like JavaScript, TypeScript, Python, or Java. Deep understanding of CI/CD pipelines and automation integration using tools like Jenkins, GitLab CI/CD, GitHub Actions. Solid grasp of RESTful APIs, JSON, and Postman or similar API testing tools. Familiarity with cloud-based testing on AWS or equivalent platforms. Strong working knowledge of Linux Strong understanding of Agile methodologies and collaborative software development environments. Desirable Criteria AWS Certification (e.g., Cloud Practitioner, Solutions Architect) is a significant advantage. ISTQB Certification or equivalent testing qualifications. Experience with cloud infrastructure and serverless testing (e.g., AWS Lambda). Familiarity with BDD tools (e.g., Cucumber, Behave). Experience using test reporting tools (e.g., Allure, ExtentReports, TestNG). Exposure to containerized environments (e.g., Docker, Kubernetes) for testing. Job responsibilities Test Automation Framework Ownership: Design and develop custom, scalable, and reusable test automation frameworks using tools such as Selenium, Cypress, Playwright, or equivalent. Standardize automation practices across teams and ensure modular, maintainable test code. End-to-End Test Automation: Create automated test suites for web, API, regression, and integration testing. Embed automated tests into CI/CD pipelines to enable continuous testing and early defect detection. Technical Leadership & Strategy: Define automation goals, best practices, and quality KPIs across the QA function. Lead test planning and reviews while mentoring junior QA engineers. Cloud & DevOps Collaboration: Collaborate with DevOps and Cloud teams to run automation on AWS based infrastructure. Leverage AWS tools (e.g., CloudWatch, Lambda, EC2) as part of the test ecosystem. Agile Delivery Support: Participate in sprint ceremonies, refine user stories with test criteria, and ensure strong collaboration with developers and product stakeholders. Documentation & Reporting: Maintain test documentation and coverage reports. Track defects and test results using tools like JIRA, TestRail, or similar. Job benefits Free parking at our Belfast office Private medical and dental insurance 24 days+ annual leave Electric vehicle scheme Cycle Scheme, Tech Scheme Life Cover
14/07/2026
Full time
QA Engineer LOCATION: Belfast, On site Office Location: Belfast About StormHarvester StormHarvester helps wastewater utilities predict and prevent issues like flooding and pollution before they happen, protecting communities and reducing costs. We are the market leader in this space. At its core, StormHarvester's advanced anomaly detection system analyses data from thousands of sensors, turning it into precise, actionable insights that drive smarter decisions. About the role Our products deliver on real-world issues, solving water company and industry problems with existing and new infrastructure which is critical to the environment, economy and everyday living. We are primarily data driven with domain expertise delivering insights to water networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based. We are building on our existing team to onward develop our existing products, and continue growing our customer offerings, base and revenues. We are looking for an experienced and motivated QA Engineer to lead our test strategy and execution. You will architect automation frameworks, implement scalable testing solutions, and play a key role in ensuring the delivery of high-quality, reliable software products. This is a hands on role that also involves mentorship, technical leadership, and close collaboration with DevOps, Developers, and Product teams. Essential Criteria Degree level education in a relevant discipline or equivalent experience 3+ years of experience in QA, with a strong focus on framework development. Proven expertise with test automation tools: Selenium, Cypress, Playwright, or similar. Experience working with the Angular (v16+) framework Hands on experience with scripting/programming languages like JavaScript, TypeScript, Python, or Java. Deep understanding of CI/CD pipelines and automation integration using tools like Jenkins, GitLab CI/CD, GitHub Actions. Solid grasp of RESTful APIs, JSON, and Postman or similar API testing tools. Familiarity with cloud-based testing on AWS or equivalent platforms. Strong working knowledge of Linux Strong understanding of Agile methodologies and collaborative software development environments. Desirable Criteria AWS Certification (e.g., Cloud Practitioner, Solutions Architect) is a significant advantage. ISTQB Certification or equivalent testing qualifications. Experience with cloud infrastructure and serverless testing (e.g., AWS Lambda). Familiarity with BDD tools (e.g., Cucumber, Behave). Experience using test reporting tools (e.g., Allure, ExtentReports, TestNG). Exposure to containerized environments (e.g., Docker, Kubernetes) for testing. Job responsibilities Test Automation Framework Ownership: Design and develop custom, scalable, and reusable test automation frameworks using tools such as Selenium, Cypress, Playwright, or equivalent. Standardize automation practices across teams and ensure modular, maintainable test code. End-to-End Test Automation: Create automated test suites for web, API, regression, and integration testing. Embed automated tests into CI/CD pipelines to enable continuous testing and early defect detection. Technical Leadership & Strategy: Define automation goals, best practices, and quality KPIs across the QA function. Lead test planning and reviews while mentoring junior QA engineers. Cloud & DevOps Collaboration: Collaborate with DevOps and Cloud teams to run automation on AWS based infrastructure. Leverage AWS tools (e.g., CloudWatch, Lambda, EC2) as part of the test ecosystem. Agile Delivery Support: Participate in sprint ceremonies, refine user stories with test criteria, and ensure strong collaboration with developers and product stakeholders. Documentation & Reporting: Maintain test documentation and coverage reports. Track defects and test results using tools like JIRA, TestRail, or similar. Job benefits Free parking at our Belfast office Private medical and dental insurance 24 days+ annual leave Electric vehicle scheme Cycle Scheme, Tech Scheme Life Cover
Goldman Sachs Group, Inc.
Birmingham, Staffordshire
Corporate Treasury - DevOps Engineer - Associate - Birmingham Birmingham, West Midlands, England, United Kingdom Job Description Team overview: Payment processing has recently become one of the key areas of focus for the financial services and fintech industry. It is at the centre of innovation for automating and streamlining flows to meet the needs of a variety of clients across the globe. Our Payments Engineering team builds and supports systems that provide a comprehensive payment solution for the firm across institutional, consumer and internal clients. These systems manage the entire payment lifecycle, from initiation to execution, covering all inbound and outbound cash flows across multiple currencies, spanning multiple electronic payment networks and platforms globally. Governing these critical flows is not a responsibility we take lightly. To meet changing business needs and to keep our stack updated with the latest technologies and trends, we are in the process of modernising our stack, rebuilding features on the Cloud and making them API-based. We are therefore looking for a DevOps Engineer to serve as a technical anchor for the Payments Engineering team. The DevOps Engineer will be responsible for bridging the gap between software development and systems operations, ensuring high availability, security and scalability. The engineer will be hands on, working in a pod (a specialised cross functional team) and helping developers. The role extends into technical consulting and architectural oversight, capacity management, liaising between support teams and the internal cloud engineering team, and ensuring we adhere to the standards set by them. You will be the go to expert for complex troubleshooting and operational decisions. Responsibilities: Build and manage AWS platform infrastructure and manage application deployments across environments Automate infrastructure provisioning using Terraform or CloudFormation for VPCs, EC2, RDS, Lambda, and ECS/EKS Design and manage CI/CD pipelines with automated testing, security scanning (SAST/DAST) and zero downtime deployments Manage production grade containerised environments using Docker and Kubernetes on Amazon ECS/EKS Set up monitoring dashboards, automated alerts, and logging for system health, latency, and error tracking Automate operational tasks using Python, Go, or Bash to reduce manual effort Collaborate with development teams to ensure reliable software delivery and mentor junior engineers Stay current with emerging DevOps trends, tools and best practices Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 3+ years of DevOps experience with focus on AWS services (EC2, S3, RDS, Lambda, ECS, IAM, CloudWatch) Experience with CI/CD tools (Jenkins, GitLab CI/CD, or AWS Code Pipeline) Knowledge of IaC tools (Terraform or CloudFormation) and scripting (Python, Bash) Basic understanding of Java, Maven, and Gradle build systems for supporting JVM based application pipelines Exposure to Docker, Kubernetes and monitoring/logging tools (CloudWatch, ELK Stack) General knowledge of networking, security and cloud system administration Self motivated with the ability to work independently and deliver results within defined timelines AWS Certified DevOps Engineer Professional is highly preferred Experience with zero downtime deployment strategies (Blue/Green, Canary) Security scanning integration (SAST/DAST) in CI/CD pipelines Production Kubernetes operations on ECS or EKS Understanding of microservices architecture and serverless computing Experience supporting multi module Gradle or Maven projects in CI/CD pipelines Additional AWS certifications (Solutions Architect Associate, Cloud Practitioner) Basic experience with performance tuning and cost optimisation in AWS. Strong communication, documentation, and mentoring skills Preferred Qualifications: ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programmes. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 170574 Job Category Associate Posting Date 05/12/2026, 10:11 AM Locations Birmingham, West Midlands, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counselling and referral services through the Employee Assistance Programme (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Programme. We also provide state of the art on site health centres in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centres. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site childcare centres that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counselling services, expectant parent resources and transitional programmes for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More
14/07/2026
Full time
Corporate Treasury - DevOps Engineer - Associate - Birmingham Birmingham, West Midlands, England, United Kingdom Job Description Team overview: Payment processing has recently become one of the key areas of focus for the financial services and fintech industry. It is at the centre of innovation for automating and streamlining flows to meet the needs of a variety of clients across the globe. Our Payments Engineering team builds and supports systems that provide a comprehensive payment solution for the firm across institutional, consumer and internal clients. These systems manage the entire payment lifecycle, from initiation to execution, covering all inbound and outbound cash flows across multiple currencies, spanning multiple electronic payment networks and platforms globally. Governing these critical flows is not a responsibility we take lightly. To meet changing business needs and to keep our stack updated with the latest technologies and trends, we are in the process of modernising our stack, rebuilding features on the Cloud and making them API-based. We are therefore looking for a DevOps Engineer to serve as a technical anchor for the Payments Engineering team. The DevOps Engineer will be responsible for bridging the gap between software development and systems operations, ensuring high availability, security and scalability. The engineer will be hands on, working in a pod (a specialised cross functional team) and helping developers. The role extends into technical consulting and architectural oversight, capacity management, liaising between support teams and the internal cloud engineering team, and ensuring we adhere to the standards set by them. You will be the go to expert for complex troubleshooting and operational decisions. Responsibilities: Build and manage AWS platform infrastructure and manage application deployments across environments Automate infrastructure provisioning using Terraform or CloudFormation for VPCs, EC2, RDS, Lambda, and ECS/EKS Design and manage CI/CD pipelines with automated testing, security scanning (SAST/DAST) and zero downtime deployments Manage production grade containerised environments using Docker and Kubernetes on Amazon ECS/EKS Set up monitoring dashboards, automated alerts, and logging for system health, latency, and error tracking Automate operational tasks using Python, Go, or Bash to reduce manual effort Collaborate with development teams to ensure reliable software delivery and mentor junior engineers Stay current with emerging DevOps trends, tools and best practices Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 3+ years of DevOps experience with focus on AWS services (EC2, S3, RDS, Lambda, ECS, IAM, CloudWatch) Experience with CI/CD tools (Jenkins, GitLab CI/CD, or AWS Code Pipeline) Knowledge of IaC tools (Terraform or CloudFormation) and scripting (Python, Bash) Basic understanding of Java, Maven, and Gradle build systems for supporting JVM based application pipelines Exposure to Docker, Kubernetes and monitoring/logging tools (CloudWatch, ELK Stack) General knowledge of networking, security and cloud system administration Self motivated with the ability to work independently and deliver results within defined timelines AWS Certified DevOps Engineer Professional is highly preferred Experience with zero downtime deployment strategies (Blue/Green, Canary) Security scanning integration (SAST/DAST) in CI/CD pipelines Production Kubernetes operations on ECS or EKS Understanding of microservices architecture and serverless computing Experience supporting multi module Gradle or Maven projects in CI/CD pipelines Additional AWS certifications (Solutions Architect Associate, Cloud Practitioner) Basic experience with performance tuning and cost optimisation in AWS. Strong communication, documentation, and mentoring skills Preferred Qualifications: ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programmes. Learn more about our culture, benefits, and people at . We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 170574 Job Category Associate Posting Date 05/12/2026, 10:11 AM Locations Birmingham, West Midlands, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counselling and referral services through the Employee Assistance Programme (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Programme. We also provide state of the art on site health centres in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centres. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site childcare centres that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counselling services, expectant parent resources and transitional programmes for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More
Capital One (Europe) Plc
Nottingham, Nottinghamshire
Lead Data Scientist (Model Developer) / Deep Learning Practitioner Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high impact customer insights. What you'll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritise initiatives. You will bridge the gap between ambitious R&D and tangible in market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices. Hands on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation. We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers). Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season ticket loans, cycle to work scheme and enhanced parental leave. Open plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head office has a fully serviced gym, subsidised restaurant, mindfulness and music rooms. 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 .
14/07/2026
Full time
Lead Data Scientist (Model Developer) / Deep Learning Practitioner Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high impact customer insights. What you'll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritise initiatives. You will bridge the gap between ambitious R&D and tangible in market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices. Hands on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation. We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers). Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season ticket loans, cycle to work scheme and enhanced parental leave. Open plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head office has a fully serviced gym, subsidised restaurant, mindfulness and music rooms. 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 .
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 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 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.
14/07/2026
Full time
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 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 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.
Data Protection Lead Contract Length: 6 months (with potential extension) Location: London, Bristol or Manchester (hybrid working - 1 day on site per week) BPSS £650 P/D Inside IR35 About the Role We are seeking an experienced Data Protection Lead to join a high-performing data governance function within a digital delivery environment. This is a hands-on operational role focused on embedding privacy and data protection principles into innovative digital products and services. Working within a team of 8 data protection and governance professionals (and a wider governance function of 14), you will provide expert advice, conduct privacy risk assessments, and support the implementation of privacy-by-design practices across complex digital programmes. This role is ideal for a pragmatic and collaborative data protection professional who enjoys working closely with delivery teams, analysing technical solutions, and ensuring privacy risks are effectively identified and managed throughout the development lifecycle. Key Responsibilities Lead and support the completion of Data Protection Impact Assessments (DPIAs) and other privacy risk assessments. Provide expert guidance on UK GDPR , Data Protection Act requirements, and broader privacy compliance obligations. Embed Privacy by Design principles into new and existing digital services and products. Work collaboratively with product, technical, delivery and policy teams to identify and mitigate privacy risks. Assess complex digital products and services, translating technical concepts into clear privacy and compliance considerations. Support the development and maintenance of data protection policies, standards and guidance. Provide practical, risk-based advice to stakeholders while balancing legal compliance with operational delivery needs. Contribute to the management of privacy risks associated with digital delivery programmes and emerging technologies. Support compliance activities, governance processes and assurance reviews as required. Essential Skills & Experience Minimum 3 years' experience working in data protection, privacy, or a closely related discipline. Strong practical experience conducting and reviewing DPIAs and privacy risk assessments. Detailed knowledge of UK GDPR , data protection legislation and privacy best practice. Experience working in a digital, technology or product delivery environment . Strong understanding of Privacy by Design principles and their application in digital services. Excellent analytical and problem-solving skills, with the ability to assess complex technical solutions. Strong attention to detail and ability to undertake detailed risk assessments. Ability to work effectively as part of a collaborative, multidisciplinary team. Excellent stakeholder management and communication skills. Pragmatic approach to balancing privacy requirements with organisational and delivery objectives. Desirable Skills & Experience Experience within the Civil Service , wider public sector, or government organisations. Experience supporting the development and delivery of large-scale digital transformation programmes. Knowledge of privacy considerations relating to digital identity services . Experience assessing or managing privacy and data protection risks associated with Artificial Intelligence (AI) solutions. Familiarity with Government Digital Service (GDS) standards and digital delivery practices. Qualifications Applicants should hold one or more of the following qualifications, or be able to demonstrate equivalent experience: Data Protection Practitioner Certificate CIPP/E (Certified Information Privacy Professional - Europe) CIPM (Certified Information Privacy Manager) CIPT (Certified Information Privacy Technologist) UK GDPR Practitioner Certificate Equivalent data protection/privacy qualifications Person Specification Personable, collaborative and approachable. A strong team player who enjoys working closely with delivery and technical teams. Pragmatic and solutions-focused in their approach to privacy and compliance challenges. Comfortable working at a detailed operational level rather than in a purely strategic capacity. Confident assessing complex technical products and identifying privacy risks. Resilient and able to maintain focus when conducting detailed assessments and reviews.
14/07/2026
Contractor
Data Protection Lead Contract Length: 6 months (with potential extension) Location: London, Bristol or Manchester (hybrid working - 1 day on site per week) BPSS £650 P/D Inside IR35 About the Role We are seeking an experienced Data Protection Lead to join a high-performing data governance function within a digital delivery environment. This is a hands-on operational role focused on embedding privacy and data protection principles into innovative digital products and services. Working within a team of 8 data protection and governance professionals (and a wider governance function of 14), you will provide expert advice, conduct privacy risk assessments, and support the implementation of privacy-by-design practices across complex digital programmes. This role is ideal for a pragmatic and collaborative data protection professional who enjoys working closely with delivery teams, analysing technical solutions, and ensuring privacy risks are effectively identified and managed throughout the development lifecycle. Key Responsibilities Lead and support the completion of Data Protection Impact Assessments (DPIAs) and other privacy risk assessments. Provide expert guidance on UK GDPR , Data Protection Act requirements, and broader privacy compliance obligations. Embed Privacy by Design principles into new and existing digital services and products. Work collaboratively with product, technical, delivery and policy teams to identify and mitigate privacy risks. Assess complex digital products and services, translating technical concepts into clear privacy and compliance considerations. Support the development and maintenance of data protection policies, standards and guidance. Provide practical, risk-based advice to stakeholders while balancing legal compliance with operational delivery needs. Contribute to the management of privacy risks associated with digital delivery programmes and emerging technologies. Support compliance activities, governance processes and assurance reviews as required. Essential Skills & Experience Minimum 3 years' experience working in data protection, privacy, or a closely related discipline. Strong practical experience conducting and reviewing DPIAs and privacy risk assessments. Detailed knowledge of UK GDPR , data protection legislation and privacy best practice. Experience working in a digital, technology or product delivery environment . Strong understanding of Privacy by Design principles and their application in digital services. Excellent analytical and problem-solving skills, with the ability to assess complex technical solutions. Strong attention to detail and ability to undertake detailed risk assessments. Ability to work effectively as part of a collaborative, multidisciplinary team. Excellent stakeholder management and communication skills. Pragmatic approach to balancing privacy requirements with organisational and delivery objectives. Desirable Skills & Experience Experience within the Civil Service , wider public sector, or government organisations. Experience supporting the development and delivery of large-scale digital transformation programmes. Knowledge of privacy considerations relating to digital identity services . Experience assessing or managing privacy and data protection risks associated with Artificial Intelligence (AI) solutions. Familiarity with Government Digital Service (GDS) standards and digital delivery practices. Qualifications Applicants should hold one or more of the following qualifications, or be able to demonstrate equivalent experience: Data Protection Practitioner Certificate CIPP/E (Certified Information Privacy Professional - Europe) CIPM (Certified Information Privacy Manager) CIPT (Certified Information Privacy Technologist) UK GDPR Practitioner Certificate Equivalent data protection/privacy qualifications Person Specification Personable, collaborative and approachable. A strong team player who enjoys working closely with delivery and technical teams. Pragmatic and solutions-focused in their approach to privacy and compliance challenges. Comfortable working at a detailed operational level rather than in a purely strategic capacity. Confident assessing complex technical products and identifying privacy risks. Resilient and able to maintain focus when conducting detailed assessments and reviews.
Data Protection Lead Location: London, Bristol or Manchester (Hybrid - typically 1 day per week onsite) Contract: 6 Months IR35: £650 daily Inside IR35 Clearance: BPSS The Opportunity We are seeking an experienced Data Protection Lead to join a high-profile digital delivery environment, supporting the development of innovative digital products and services. This is a hands-on role for a privacy professional who enjoys working closely with product, technology, analytics and delivery teams to ensure privacy requirements are embedded from the outset. You will play a key role in delivering practical data protection solutions, conducting risk assessments, and enabling teams to deliver at pace while maintaining compliance. This is not a strategic leadership or people management position. We're looking for a practitioner who is comfortable getting into the detail of complex digital services, privacy risks and DPIAs. Key Responsibilities Lead and deliver Data Protection Impact Assessments (DPIAs) for new and existing digital services. Provide expert advice on UK GDPR, Data Protection Act requirements and privacy best practices. Embed Privacy by Design principles throughout the product and delivery lifecycle. Support the creation and maintenance of: Privacy Notices Records of Processing Activities (ROPAs) Data-sharing documentation Risk assessments Work closely with product managers, delivery teams, engineers and stakeholders to identify and mitigate privacy risks. Analyse digital products, data flows and technical architectures to assess compliance implications. Provide pragmatic, risk-based guidance that enables delivery while maintaining regulatory compliance. Support governance activities relating to emerging technologies and AI-enabled solutions. Essential Experience Minimum 3 years' experience in a Data Protection, Privacy or Information Governance role. Strong experience conducting and reviewing DPIAs. Proven expertise in UK GDPR and Data Protection legislation. Experience embedding Privacy by Design within digital products or services. Strong risk assessment and problem-solving capabilities. Experience working with technical stakeholders, digital teams and delivery environments. Excellent communication and stakeholder engagement skills. Ability to work collaboratively within multidisciplinary teams. Desirable Experience Experience working within digital delivery organisations. Knowledge of PECR, cookies and tracking technologies. Exposure to analytics platforms and privacy considerations surrounding digital analytics. Experience supporting AI governance or AI-related risk assessments. Public sector or government experience. Experience working within Agile delivery environments. Qualifications One or more of the following would be highly desirable: CIPP/E CIPM CIPT Data Protection Practitioner Certificate UK GDPR Practitioner Certificate Equivalent privacy or data protection qualification Equivalent practical experience will also be considered. Personal Attributes We are particularly interested in individuals who are: Personable and collaborative Pragmatic in their approach to compliance and risk Detail-oriented and analytical Comfortable working in fast-paced environments Able to build strong relationships across technical and non-technical teams Focused on delivery and outcomes rather than high-level strategy
14/07/2026
Contractor
Data Protection Lead Location: London, Bristol or Manchester (Hybrid - typically 1 day per week onsite) Contract: 6 Months IR35: £650 daily Inside IR35 Clearance: BPSS The Opportunity We are seeking an experienced Data Protection Lead to join a high-profile digital delivery environment, supporting the development of innovative digital products and services. This is a hands-on role for a privacy professional who enjoys working closely with product, technology, analytics and delivery teams to ensure privacy requirements are embedded from the outset. You will play a key role in delivering practical data protection solutions, conducting risk assessments, and enabling teams to deliver at pace while maintaining compliance. This is not a strategic leadership or people management position. We're looking for a practitioner who is comfortable getting into the detail of complex digital services, privacy risks and DPIAs. Key Responsibilities Lead and deliver Data Protection Impact Assessments (DPIAs) for new and existing digital services. Provide expert advice on UK GDPR, Data Protection Act requirements and privacy best practices. Embed Privacy by Design principles throughout the product and delivery lifecycle. Support the creation and maintenance of: Privacy Notices Records of Processing Activities (ROPAs) Data-sharing documentation Risk assessments Work closely with product managers, delivery teams, engineers and stakeholders to identify and mitigate privacy risks. Analyse digital products, data flows and technical architectures to assess compliance implications. Provide pragmatic, risk-based guidance that enables delivery while maintaining regulatory compliance. Support governance activities relating to emerging technologies and AI-enabled solutions. Essential Experience Minimum 3 years' experience in a Data Protection, Privacy or Information Governance role. Strong experience conducting and reviewing DPIAs. Proven expertise in UK GDPR and Data Protection legislation. Experience embedding Privacy by Design within digital products or services. Strong risk assessment and problem-solving capabilities. Experience working with technical stakeholders, digital teams and delivery environments. Excellent communication and stakeholder engagement skills. Ability to work collaboratively within multidisciplinary teams. Desirable Experience Experience working within digital delivery organisations. Knowledge of PECR, cookies and tracking technologies. Exposure to analytics platforms and privacy considerations surrounding digital analytics. Experience supporting AI governance or AI-related risk assessments. Public sector or government experience. Experience working within Agile delivery environments. Qualifications One or more of the following would be highly desirable: CIPP/E CIPM CIPT Data Protection Practitioner Certificate UK GDPR Practitioner Certificate Equivalent privacy or data protection qualification Equivalent practical experience will also be considered. Personal Attributes We are particularly interested in individuals who are: Personable and collaborative Pragmatic in their approach to compliance and risk Detail-oriented and analytical Comfortable working in fast-paced environments Able to build strong relationships across technical and non-technical teams Focused on delivery and outcomes rather than high-level strategy
