A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP
Feb 24, 2026
Full time
A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency in Python and ML libraries (e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku Experience with ML Ops, including deployment, monitoring, and retraining pipelines Ability to work cross-functionally with marketing, CRM, and engineering teams Excellent communication and stakeholder management skills Experience in a global or multi-regional context is a plus Details Salary: £65k-75k per annum Duration: Permanent Location: Hybrid, with 2-3 days/week in Central London office Start date: ASAP
Mandatory Skills: OKTA - Identity and Access Management. Job Description Experience on Identity & Access Management (IDAM) and Privilege Access Management (PAM). Experience with Identity Governance & Administration (IGA) projects and Tools. Define and own the end to end Non Functional Testing (NFT) strategy. Lead and execute Operational Acceptance Testing (OAT) activities. Oversee performance testing life cycle from planning to analysis. Provide clear updates, risks, and recommendations to stakeholders. Collaborate closely with Project Team and IT Ops to ensure operational readiness and monitoring coverage. Ensure non functional test coverage extends to cloud platforms and cloud native services. Review and validate non functional requirements (NFRs) for completeness and feasibility. Review NFT test results from suppliers, identify gaps, and ensure corrective actions. Skills Strong verbal and written communication abilities. Extensive experience coordinating work across suppliers. Strong background in OAT processes and operational readiness checks. Strong expertise in performance testing tools and analysis along with: Performance Testing Load Testing Security Testing Portability Testing Accountability Testing Reliability Testing Volume Testing Proven stakeholder management and influencing skills. Experience collaborating with IT Operations and other Technical teams. Strong understanding of cloud platforms (AWS/Azure/GCP) and cloud native testing needs. Ability to interpret, validate, and translate non functional requirements into testable criteria. Skilled in reviewing and assessing quality of supplier provided NFT results, reports, and dashboards. Do Bridging the gap between project and support teams through techno-functional expertise. For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment. Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines. Provide techno-functional solution support for all the new business implementations while building the entire system from the scratch. Support the solutioning team from architectural design, coding, testing and implementation. Understand the functional design as well as technical design and architecture to be implemented on the ERP system. Customize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & production. Implement the business processes, requirements and the underlying ERP technology to translate them into ERP solutions. Write code as per the developmental standards to decide upon the implementation methodology. Provide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may arise. Create and deploy automation tools/ solutions to ensure process optimization and increase in efficiency. Sink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordingly. Support on-site manager with the necessary details write any change and off-site support.
Feb 24, 2026
Full time
Mandatory Skills: OKTA - Identity and Access Management. Job Description Experience on Identity & Access Management (IDAM) and Privilege Access Management (PAM). Experience with Identity Governance & Administration (IGA) projects and Tools. Define and own the end to end Non Functional Testing (NFT) strategy. Lead and execute Operational Acceptance Testing (OAT) activities. Oversee performance testing life cycle from planning to analysis. Provide clear updates, risks, and recommendations to stakeholders. Collaborate closely with Project Team and IT Ops to ensure operational readiness and monitoring coverage. Ensure non functional test coverage extends to cloud platforms and cloud native services. Review and validate non functional requirements (NFRs) for completeness and feasibility. Review NFT test results from suppliers, identify gaps, and ensure corrective actions. Skills Strong verbal and written communication abilities. Extensive experience coordinating work across suppliers. Strong background in OAT processes and operational readiness checks. Strong expertise in performance testing tools and analysis along with: Performance Testing Load Testing Security Testing Portability Testing Accountability Testing Reliability Testing Volume Testing Proven stakeholder management and influencing skills. Experience collaborating with IT Operations and other Technical teams. Strong understanding of cloud platforms (AWS/Azure/GCP) and cloud native testing needs. Ability to interpret, validate, and translate non functional requirements into testable criteria. Skilled in reviewing and assessing quality of supplier provided NFT results, reports, and dashboards. Do Bridging the gap between project and support teams through techno-functional expertise. For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment. Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines. Provide techno-functional solution support for all the new business implementations while building the entire system from the scratch. Support the solutioning team from architectural design, coding, testing and implementation. Understand the functional design as well as technical design and architecture to be implemented on the ERP system. Customize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & production. Implement the business processes, requirements and the underlying ERP technology to translate them into ERP solutions. Write code as per the developmental standards to decide upon the implementation methodology. Provide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may arise. Create and deploy automation tools/ solutions to ensure process optimization and increase in efficiency. Sink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordingly. Support on-site manager with the necessary details write any change and off-site support.
Application Solutions Architect- , Payments, AML,KYC, GDPR, Cloud, Application, 6 months A leading client within the financial services space is seeking a solid and reliable Application Solutions Architect to join and help implement some key solutions across a range of technology. The role: Define an architectural vision and solution architecture that aligns with business strategy, enterprise architecture principles, and technology platform choices. Articulate the solution intent and operating environment, identify primary systems/subsystems and their interfaces, and define non-functional requirements. Ensure solutions are fit for purpose by collaborating with stakeholders and vendors, while assessing the impact of strategic design decisions. Work closely with both business and technology teams to shape the solution intent and architectural vision. Rapidly develop high-level architecture, refining details as business requirements evolve; ensure designs are modular, flexible, and adaptable. Apply best practices, templates, and documentation standards to produce architectural designs. Partner with Product Managers/Owners to plan and prioritise technology-focused backlog items for the architecture runway. Provide clarity to development teams on architectural aspects, offering solution options to overcome impediments. Conduct design reviews to confirm all non-functional requirements are met (e.g., security, performance, scalability, usability, reliability). Operate as an individual contributor. Required Skills 3 days onsite is essential Strong domain knowledge in Corporate Payments (essential), plus Accounting Services, Liquidity Management, and Receivables. Expertise in API design, microservices, and integration platforms. Experience with cloud platforms (AWS, Azure, GCP). Familiarity with DevOps, CI/CD pipelines, and containerisation (Docker, Kubernetes). Proficiency in AI technologies and their practical application within financial services. Strong understanding of application architecture in modern development languages, including Java, .NET (C#), Python, and JavaScript/TypeScript frameworks (e.g., Angular, React). Experience working on initiatives delivering regulatory-driven changes (e.g., PSD2, ISO 20022, AML/KYC, GDPR). Ability to drive shared service strategies and foster a performance culture. Commitment to continuous improvement of products, processes, and tools. Self-motivated and proactive. Ability to thrive in a fast-paced, collaborative environment. Solid understanding of SDLC methodologies (Waterfall and Agile). Strong business partner engagement and coordination skills. Capable of leading automation initiatives, root cause analysis, and development of shared/common solutions. Excellent verbal and written communication skills for both technical and non-technical audiences. Analytical thinking, attention to detail, problem-solving, and innovative mindset. Ability to translate complex concepts into multiple architectural views for different audiences. Broad IT knowledge, including financial software, middleware, and databases. Skilled at interpreting business needs and applying innovative technology solutions. A solid background and experience in Banking/Financial Services technology. Nice to have: Bachelor's Degree in Computer Science/related field or related work experience. TOGAF 9 Certified. Cloud Solutions Architect Certification (AWS, Azure, GCP). AI Certification (AI+ Architect, LSBA, ELVTR) McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Feb 24, 2026
Full time
Application Solutions Architect- , Payments, AML,KYC, GDPR, Cloud, Application, 6 months A leading client within the financial services space is seeking a solid and reliable Application Solutions Architect to join and help implement some key solutions across a range of technology. The role: Define an architectural vision and solution architecture that aligns with business strategy, enterprise architecture principles, and technology platform choices. Articulate the solution intent and operating environment, identify primary systems/subsystems and their interfaces, and define non-functional requirements. Ensure solutions are fit for purpose by collaborating with stakeholders and vendors, while assessing the impact of strategic design decisions. Work closely with both business and technology teams to shape the solution intent and architectural vision. Rapidly develop high-level architecture, refining details as business requirements evolve; ensure designs are modular, flexible, and adaptable. Apply best practices, templates, and documentation standards to produce architectural designs. Partner with Product Managers/Owners to plan and prioritise technology-focused backlog items for the architecture runway. Provide clarity to development teams on architectural aspects, offering solution options to overcome impediments. Conduct design reviews to confirm all non-functional requirements are met (e.g., security, performance, scalability, usability, reliability). Operate as an individual contributor. Required Skills 3 days onsite is essential Strong domain knowledge in Corporate Payments (essential), plus Accounting Services, Liquidity Management, and Receivables. Expertise in API design, microservices, and integration platforms. Experience with cloud platforms (AWS, Azure, GCP). Familiarity with DevOps, CI/CD pipelines, and containerisation (Docker, Kubernetes). Proficiency in AI technologies and their practical application within financial services. Strong understanding of application architecture in modern development languages, including Java, .NET (C#), Python, and JavaScript/TypeScript frameworks (e.g., Angular, React). Experience working on initiatives delivering regulatory-driven changes (e.g., PSD2, ISO 20022, AML/KYC, GDPR). Ability to drive shared service strategies and foster a performance culture. Commitment to continuous improvement of products, processes, and tools. Self-motivated and proactive. Ability to thrive in a fast-paced, collaborative environment. Solid understanding of SDLC methodologies (Waterfall and Agile). Strong business partner engagement and coordination skills. Capable of leading automation initiatives, root cause analysis, and development of shared/common solutions. Excellent verbal and written communication skills for both technical and non-technical audiences. Analytical thinking, attention to detail, problem-solving, and innovative mindset. Ability to translate complex concepts into multiple architectural views for different audiences. Broad IT knowledge, including financial software, middleware, and databases. Skilled at interpreting business needs and applying innovative technology solutions. A solid background and experience in Banking/Financial Services technology. Nice to have: Bachelor's Degree in Computer Science/related field or related work experience. TOGAF 9 Certified. Cloud Solutions Architect Certification (AWS, Azure, GCP). AI Certification (AI+ Architect, LSBA, ELVTR) McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Machine Learning Engineer in United Kingdom. The Cloud Machine Learning Engineer will design, build, and deploy scalable machine learning solutions leveraging cloud technologies. This role bridges advanced ML frameworks with cloud platforms to deliver performant, secure, and user-friendly APIs and developer experiences. You will collaborate with cross-functional teams to ensure models are optimized, integrated, and documented effectively for a global user base. The position requires hands on experience in deep learning frameworks, cloud infrastructure, and MLOps practices, with a focus on efficiency, reproducibility, and developer usability. The ideal candidate thrives in a distributed, innovation driven environment, enjoys sharing knowledge with the community, and contributes to solutions that impact millions of users worldwide. You will also have the opportunity to influence best practices, technical standards, and cloud ML architecture at scale. Accountabilities Integrate machine learning models with cloud platforms and managed SaaS solutions to deliver robust production systems. Ensure deployed ML models meet performance, reliability, and scalability requirements. Design, develop, and maintain secure and user friendly developer APIs and interfaces. Build and optimize MLOps pipelines, including containerization with Docker and orchestration with Kubernetes where applicable. Write technical documentation, tutorials, and examples to support internal teams and external users. Collaborate with cross functional teams, including data scientists, engineers, and product managers, to align development efforts with strategic goals. Advocate and share technical solutions and achievements with internal stakeholders and the broader developer community. Requirements Strong experience with ML frameworks, preferably PyTorch, and ML libraries such as Transformers, Diffusers, Accelerate, and Datasets. Proficiency with cloud platforms such as AWS, Azure, or GCP, including services like SageMaker, EC2, S3, or equivalents. Experience building MLOps pipelines for model deployment, monitoring, and containerization. Familiarity with programming and scripting languages such as Python; knowledge of Typescript, Rust, or MongoDB is a plus. Ability to write clear, reproducible documentation and examples to support development and adoption. Experience across the full ML product lifecycle, from research and prototyping to production deployment and monitoring. Strong problem solving, collaboration, and communication skills in a distributed team environment. Preferred / Bonus Skills Experience with front end frameworks or styling libraries such as Svelte and TailwindCSS. Exposure to open source ML communities and contributions. Understanding of XLA, hardware accelerators, or distributed training techniques. Benefits Competitive salary and equity package. Flexible work hours and fully remote work options with potential visits to office locations. Comprehensive health, dental, and vision insurance for employees and dependents. Parental leave and flexible paid time off policies. Professional development opportunities, including training, conferences, and workshops. Ownership and impact: equity participation to align with company success. Inclusive and supportive work culture with emphasis on learning, growth, and collaboration. Why Apply Through Jobgether? We use an AI powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
Feb 21, 2026
Full time
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Machine Learning Engineer in United Kingdom. The Cloud Machine Learning Engineer will design, build, and deploy scalable machine learning solutions leveraging cloud technologies. This role bridges advanced ML frameworks with cloud platforms to deliver performant, secure, and user-friendly APIs and developer experiences. You will collaborate with cross-functional teams to ensure models are optimized, integrated, and documented effectively for a global user base. The position requires hands on experience in deep learning frameworks, cloud infrastructure, and MLOps practices, with a focus on efficiency, reproducibility, and developer usability. The ideal candidate thrives in a distributed, innovation driven environment, enjoys sharing knowledge with the community, and contributes to solutions that impact millions of users worldwide. You will also have the opportunity to influence best practices, technical standards, and cloud ML architecture at scale. Accountabilities Integrate machine learning models with cloud platforms and managed SaaS solutions to deliver robust production systems. Ensure deployed ML models meet performance, reliability, and scalability requirements. Design, develop, and maintain secure and user friendly developer APIs and interfaces. Build and optimize MLOps pipelines, including containerization with Docker and orchestration with Kubernetes where applicable. Write technical documentation, tutorials, and examples to support internal teams and external users. Collaborate with cross functional teams, including data scientists, engineers, and product managers, to align development efforts with strategic goals. Advocate and share technical solutions and achievements with internal stakeholders and the broader developer community. Requirements Strong experience with ML frameworks, preferably PyTorch, and ML libraries such as Transformers, Diffusers, Accelerate, and Datasets. Proficiency with cloud platforms such as AWS, Azure, or GCP, including services like SageMaker, EC2, S3, or equivalents. Experience building MLOps pipelines for model deployment, monitoring, and containerization. Familiarity with programming and scripting languages such as Python; knowledge of Typescript, Rust, or MongoDB is a plus. Ability to write clear, reproducible documentation and examples to support development and adoption. Experience across the full ML product lifecycle, from research and prototyping to production deployment and monitoring. Strong problem solving, collaboration, and communication skills in a distributed team environment. Preferred / Bonus Skills Experience with front end frameworks or styling libraries such as Svelte and TailwindCSS. Exposure to open source ML communities and contributions. Understanding of XLA, hardware accelerators, or distributed training techniques. Benefits Competitive salary and equity package. Flexible work hours and fully remote work options with potential visits to office locations. Comprehensive health, dental, and vision insurance for employees and dependents. Parental leave and flexible paid time off policies. Professional development opportunities, including training, conferences, and workshops. Ownership and impact: equity participation to align with company success. Inclusive and supportive work culture with emphasis on learning, growth, and collaboration. Why Apply Through Jobgether? We use an AI powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Senior Software Engineer into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. A place where you can grow as an individual, while also having an influence (or even leading) on the direction of projects and technological choices. As a Senior Software Engineer, you will leverage your extensive knowledge and experience to spearhead the development of our products. You'll be instrumental in the technical direction of projects, from initial concept to final deployment and ongoing maintenance. Your expertise will help guide architectural decisions, ensure code quality, and mentor fellow engineers, promoting a culture of technical excellence and innovation. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot's terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you'll be doing: Understanding the existing technical landscape and planning, implementing, and releasing new features with a focus on backend stability and scalability. Architecting solutions to handle high-volume data processing for fraud detection while maintaining the internal tooling frontends used for investigations. Troubleshooting existing software, squashing bugs across the stack, and optimizing database performance. Inspire and challenge the organisation with your knowledge of how to solve complex architectural problems. Help to lead the technical direction of the team through the adoption of best practices, tooling, and Infrastructure as Code. Help mentor and coach less experienced colleagues. Who you are: Experience at a Senior level, building full-stack applications, but with a deep focus and passion for backend engineering. Extensive proficiency in Node.js and TypeScript. Competent with frontend frameworks (specifically React). Proficient AWS experience is a must. A customer-centric and solution-oriented mindset with a bias to action. Motivated to push yourself and the people around you to constantly improve in a healthy way. Nice to have: Experience integrating AI/ML models or working with LLMs/Generative AI in a backend context. Experience with Google Cloud Platform services (specifically BigQuery or Pub/Sub). Some relevant technologies and services we use: Languages: TypeScript, JavaScript Infrastructure: AWS (ECS, Lambda, SNS, SQS, CloudFormation), GCP (BigQuery, Pub/Sub), Docker, Terraform Backend: Node.js, Serverless Framework Database: DynamoDB, PostgreSQL, BigQuery Frontend: React, Next.js, CSS Modules Tools: GitHub Actions Find more here: What's in it for you: A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career Still not sure We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We're excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don't feel you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team () quoting the role you wish to apply for. Any offer of employment for this position will be subject to our standard background checks.
Feb 21, 2026
Full time
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We are growing our engineering team at Trustpilot and are looking to welcome a Senior Software Engineer into the Trust Tech department! You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. A place where you can grow as an individual, while also having an influence (or even leading) on the direction of projects and technological choices. As a Senior Software Engineer, you will leverage your extensive knowledge and experience to spearhead the development of our products. You'll be instrumental in the technical direction of projects, from initial concept to final deployment and ongoing maintenance. Your expertise will help guide architectural decisions, ensure code quality, and mentor fellow engineers, promoting a culture of technical excellence and innovation. About the team: You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses. The team is responsible for building and maintaining automated systems that enforce Trustpilot's terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement. What you'll be doing: Understanding the existing technical landscape and planning, implementing, and releasing new features with a focus on backend stability and scalability. Architecting solutions to handle high-volume data processing for fraud detection while maintaining the internal tooling frontends used for investigations. Troubleshooting existing software, squashing bugs across the stack, and optimizing database performance. Inspire and challenge the organisation with your knowledge of how to solve complex architectural problems. Help to lead the technical direction of the team through the adoption of best practices, tooling, and Infrastructure as Code. Help mentor and coach less experienced colleagues. Who you are: Experience at a Senior level, building full-stack applications, but with a deep focus and passion for backend engineering. Extensive proficiency in Node.js and TypeScript. Competent with frontend frameworks (specifically React). Proficient AWS experience is a must. A customer-centric and solution-oriented mindset with a bias to action. Motivated to push yourself and the people around you to constantly improve in a healthy way. Nice to have: Experience integrating AI/ML models or working with LLMs/Generative AI in a backend context. Experience with Google Cloud Platform services (specifically BigQuery or Pub/Sub). Some relevant technologies and services we use: Languages: TypeScript, JavaScript Infrastructure: AWS (ECS, Lambda, SNS, SQS, CloudFormation), GCP (BigQuery, Pub/Sub), Docker, Terraform Backend: Node.js, Serverless Framework Database: DynamoDB, PostgreSQL, BigQuery Frontend: React, Next.js, CSS Modules Tools: GitHub Actions Find more here: What's in it for you: A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist Pension and life insurance Health cash plan, online GP, 24/7, Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials. Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Independent financial advice and free standard professional mortgage broker advice Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career Still not sure We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We're excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don't feel you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team () quoting the role you wish to apply for. Any offer of employment for this position will be subject to our standard background checks.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Feb 20, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe data products that drive commercial value from complex data assets. This is a hands-on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products. This programme operates within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team's delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team. Key Responsibilities Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable. Lead the team's agile process, facilitating stand ups, managing the backlog and setting roadmap priorities with senior stakeholders. Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth. Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance. Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities. Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes. Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle Who we are Who we are The UK's fastest broadband network. The nation's best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we're building a more connected future for everyone. Our ways of working We're a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person. That doesn't just mean time in the office, it could be team meetings, offsites, volunteering days, cross functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts. Accessible, inclusive and equitable for all Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us. The must haves Technical leadership of remote engineering teams Strong Python and SQL skills; writes clean, maintainable, production grade code Architecture ownership for complex, scalable data and ML/AI solutions End to end data platform design (ingestion, modelling, analytics) Google Cloud (or equivalent) experience incl. BigQuery, Analytics Hub, Cloud Functions, dbt Commercial mindset with evidence of data product adoption, cost and delivery awareness Clear communicator across technical/non-technical audiences, up to C-suite Experience building external-facing SaaS or data products with partners Working within data contracts, privacy and regulatory constraints Effective delivery in ambiguous, fast paced environments (Agile, Jira, Confluence) Coaching engineers with strong hands on Python and SQL capability The other stuff we are looking for Built new products from scratch (greenfield over legacy) Worked with sensitive data in regulated industries (e.g. telco) Experience with data cleanrooms (Google, Snowflake or equivalent) What's in it for you As you're already a valued member of the Virgin Media O2 crew, you'll know lots about the amazing stuff we do to take care of our people. If you need a reminder, head on over to the benefits portal via the main intranet site. Next steps If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview. When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed. Thanks for your patience and for showing an interest in joining the Virgin Media O2 family.
Feb 19, 2026
Full time
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe data products that drive commercial value from complex data assets. This is a hands-on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products. This programme operates within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team's delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team. Key Responsibilities Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable. Lead the team's agile process, facilitating stand ups, managing the backlog and setting roadmap priorities with senior stakeholders. Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth. Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance. Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities. Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes. Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle Who we are Who we are The UK's fastest broadband network. The nation's best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we're building a more connected future for everyone. Our ways of working We're a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person. That doesn't just mean time in the office, it could be team meetings, offsites, volunteering days, cross functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts. Accessible, inclusive and equitable for all Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us. The must haves Technical leadership of remote engineering teams Strong Python and SQL skills; writes clean, maintainable, production grade code Architecture ownership for complex, scalable data and ML/AI solutions End to end data platform design (ingestion, modelling, analytics) Google Cloud (or equivalent) experience incl. BigQuery, Analytics Hub, Cloud Functions, dbt Commercial mindset with evidence of data product adoption, cost and delivery awareness Clear communicator across technical/non-technical audiences, up to C-suite Experience building external-facing SaaS or data products with partners Working within data contracts, privacy and regulatory constraints Effective delivery in ambiguous, fast paced environments (Agile, Jira, Confluence) Coaching engineers with strong hands on Python and SQL capability The other stuff we are looking for Built new products from scratch (greenfield over legacy) Worked with sensitive data in regulated industries (e.g. telco) Experience with data cleanrooms (Google, Snowflake or equivalent) What's in it for you As you're already a valued member of the Virgin Media O2 crew, you'll know lots about the amazing stuff we do to take care of our people. If you need a reminder, head on over to the benefits portal via the main intranet site. Next steps If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview. When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed. Thanks for your patience and for showing an interest in joining the Virgin Media O2 family.
We are seeking an experienced Fractional CISO to provide hands-on security leadership as we evolve our security function to support continued growth and European expansion. This is a permanent fractional engagement reporting directly to the CTO. You will own our information security strategy, maintain our ISO 27001 certification, build our security roadmap, and prepare the organisation for SOC 2 readiness in . This role requires someone who can operate both strategically and tactically - developing policy one day and reviewing cloud configurations the next. Key Responsibilities Strategy & Governance Develop and own the Information Security strategy aligned with ApprovalMax's business objectives and European expansion plans Maintain and continuously improve the Information Security Management System (ISMS) Create, review, and maintain core security policies, standards, and procedures Establish and chair a cross-functional Security Working Group (Engineering, Architecture, IT, HR) Build and present a multi-year security roadmap with clear milestones, resource requirements, and priorities Serve as the central authority on risk assessment, risk treatment, and risk acceptance decisions Assess and provide guidance on secure AI adoption across the organisation, including AI-powered product features and internal AI tooling Compliance & Certification Maintain ISO 27001 certification and prepare for the 2027 recertification audit Lead SOC 2 Type II readiness programme (target: ), including gap analysis and control mapping Ensure compliance with GDPR and data protection requirements across EU/UK/US/AU/NZ/CA/ZA jurisdictions Collaborate with external DPO support provider on privacy-related matters and customer security questionnaires as needed Cloud & Technical Security Provide security oversight across Azure, AWS, and Google Workspace environments Conduct access reviews and advise on identity and access management best practices Evaluate and guide implementation of security tooling (SIEM, vulnerability management, endpoint protection) Oversee VMware Workspace ONE MDM deployment and device security policies Advise engineering teams on secure SDLC practices, DevSecOps integration, and application security principles Operational Security Develop and maintain incident response plans and procedures Lead incident response tabletop exercises and post-incident reviews Provide guidance on business continuity and disaster recovery planning Advise on vendor security assessments and third-party risk management Awareness & Culture Design and deliver company-wide security awareness training programmes Mentor and upskill internal staff on security best practices Foster a security-first culture across all departments Act as a trusted advisor to leadership on emerging threats and security trends Stakeholder Engagement Report regularly to the CTO on security posture, risks, and programme progress Prepare board-level security presentations as required (infrequent) Support commercial teams by contributing to customer security discussions when escalated Qualifications 8+ years of progressive experience in information security, with at least 3 years in a CISO, Head of Security, or senior security leadership role Demonstrated experience in B2B SaaS environments, ideally in fintech, finance software, or similarly regulated industries Proven track record of achieving and maintaining ISO 27001 certification Experience preparing organisations for SOC 2 Type II certification Hands-on experience securing cloud environments (Azure and/or AWS required; GCP a plus) Experience with Google Workspace security configuration and administration Background working with distributed, remote-first engineering teams Technical Knowledge Strong understanding of cloud security architecture, identity management, and zero-trust principles Familiarity with secure software development lifecycle (SDLC) and DevSecOps practices Knowledge of MDM solutions (VMware Workspace ONE experience preferred) Understanding of API security and integration risk management Practical experience with security tooling: SIEM, vulnerability scanners, endpoint protection, etc. Awareness of AI/ML security risks, including secure AI adoption practices and emerging AI governance frameworks (desirable) Compliance & Regulatory Deep knowledge of ISO 27001:2022 requirements and audit processes Familiarity with SOC 2 Trust Service Criteria (Security, Availability, Confidentiality, Privacy) Understanding of GDPR, UK Data Protection Act, and international data transfer mechanisms Awareness of regional requirements across EU, UK, US, Australia, New Zealand, Canada, and South Africa Additional Information Growing international business with 10,000+ subscribers Regular performance-based compensation reviews 26 days paid time off 1 additional day off for your Birthday Remote office assistance Service years recognition financial reward
Feb 19, 2026
Full time
We are seeking an experienced Fractional CISO to provide hands-on security leadership as we evolve our security function to support continued growth and European expansion. This is a permanent fractional engagement reporting directly to the CTO. You will own our information security strategy, maintain our ISO 27001 certification, build our security roadmap, and prepare the organisation for SOC 2 readiness in . This role requires someone who can operate both strategically and tactically - developing policy one day and reviewing cloud configurations the next. Key Responsibilities Strategy & Governance Develop and own the Information Security strategy aligned with ApprovalMax's business objectives and European expansion plans Maintain and continuously improve the Information Security Management System (ISMS) Create, review, and maintain core security policies, standards, and procedures Establish and chair a cross-functional Security Working Group (Engineering, Architecture, IT, HR) Build and present a multi-year security roadmap with clear milestones, resource requirements, and priorities Serve as the central authority on risk assessment, risk treatment, and risk acceptance decisions Assess and provide guidance on secure AI adoption across the organisation, including AI-powered product features and internal AI tooling Compliance & Certification Maintain ISO 27001 certification and prepare for the 2027 recertification audit Lead SOC 2 Type II readiness programme (target: ), including gap analysis and control mapping Ensure compliance with GDPR and data protection requirements across EU/UK/US/AU/NZ/CA/ZA jurisdictions Collaborate with external DPO support provider on privacy-related matters and customer security questionnaires as needed Cloud & Technical Security Provide security oversight across Azure, AWS, and Google Workspace environments Conduct access reviews and advise on identity and access management best practices Evaluate and guide implementation of security tooling (SIEM, vulnerability management, endpoint protection) Oversee VMware Workspace ONE MDM deployment and device security policies Advise engineering teams on secure SDLC practices, DevSecOps integration, and application security principles Operational Security Develop and maintain incident response plans and procedures Lead incident response tabletop exercises and post-incident reviews Provide guidance on business continuity and disaster recovery planning Advise on vendor security assessments and third-party risk management Awareness & Culture Design and deliver company-wide security awareness training programmes Mentor and upskill internal staff on security best practices Foster a security-first culture across all departments Act as a trusted advisor to leadership on emerging threats and security trends Stakeholder Engagement Report regularly to the CTO on security posture, risks, and programme progress Prepare board-level security presentations as required (infrequent) Support commercial teams by contributing to customer security discussions when escalated Qualifications 8+ years of progressive experience in information security, with at least 3 years in a CISO, Head of Security, or senior security leadership role Demonstrated experience in B2B SaaS environments, ideally in fintech, finance software, or similarly regulated industries Proven track record of achieving and maintaining ISO 27001 certification Experience preparing organisations for SOC 2 Type II certification Hands-on experience securing cloud environments (Azure and/or AWS required; GCP a plus) Experience with Google Workspace security configuration and administration Background working with distributed, remote-first engineering teams Technical Knowledge Strong understanding of cloud security architecture, identity management, and zero-trust principles Familiarity with secure software development lifecycle (SDLC) and DevSecOps practices Knowledge of MDM solutions (VMware Workspace ONE experience preferred) Understanding of API security and integration risk management Practical experience with security tooling: SIEM, vulnerability scanners, endpoint protection, etc. Awareness of AI/ML security risks, including secure AI adoption practices and emerging AI governance frameworks (desirable) Compliance & Regulatory Deep knowledge of ISO 27001:2022 requirements and audit processes Familiarity with SOC 2 Trust Service Criteria (Security, Availability, Confidentiality, Privacy) Understanding of GDPR, UK Data Protection Act, and international data transfer mechanisms Awareness of regional requirements across EU, UK, US, Australia, New Zealand, Canada, and South Africa Additional Information Growing international business with 10,000+ subscribers Regular performance-based compensation reviews 26 days paid time off 1 additional day off for your Birthday Remote office assistance Service years recognition financial reward
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe data products that drive commercial value from complex data assets. This is a hands-on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products. This programme operates within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team's delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team. Key Responsibilities Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable. Lead the team's agile process, facilitating stand ups, managing the backlog and setting roadmap priorities with senior stakeholders. Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth. Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance. Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities. Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes. Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle Who we are Who we are The UK's fastest broadband network. The nation's best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we're building a more connected future for everyone. Our ways of working We're a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person. That doesn't just mean time in the office, it could be team meetings, offsites, volunteering days, cross functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts. Accessible, inclusive and equitable for all Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us. The must haves Technical leadership of remote engineering teams Strong Python and SQL skills; writes clean, maintainable, production grade code Architecture ownership for complex, scalable data and ML/AI solutions End to end data platform design (ingestion, modelling, analytics) Google Cloud (or equivalent) experience incl. BigQuery, Analytics Hub, Cloud Functions, dbt Commercial mindset with evidence of data product adoption, cost and delivery awareness Clear communicator across technical/non-technical audiences, up to C-suite Experience building external-facing SaaS or data products with partners Working within data contracts, privacy and regulatory constraints Effective delivery in ambiguous, fast paced environments (Agile, Jira, Confluence) Coaching engineers with strong hands on Python and SQL capability The other stuff we are looking for Built new products from scratch (greenfield over legacy) Worked with sensitive data in regulated industries (e.g. telco) Experience with data cleanrooms (Google, Snowflake or equivalent) What's in it for you As you're already a valued member of the Virgin Media O2 crew, you'll know lots about the amazing stuff we do to take care of our people. If you need a reminder, head on over to the benefits portal via the main intranet site. Next steps If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview. When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed. Thanks for your patience and for showing an interest in joining the Virgin Media O2 family.
Feb 19, 2026
Full time
We have a great new role for a Head of Data Engineering to join our Data Monetisation team. This is a brand new role responsible for leading the data engineering function and building scalable, privacy-safe data products that drive commercial value from complex data assets. This is a hands-on senior role, owning engineering strategy, architecture and delivery within a commercially focused data product environment. This role is 60% leadership/strategy and 40% hands on working with Python, SQL, GCP, AI solutions. As Head of Data Engineering, you will be responsible for leading and mentoring a team of 4 in the creation and maintenance of our strategic data products. This programme operates within data monetisation and AI application, developing high value customer signals and data segments derived from a complex, multi source data ecosystem. You will define the architectural strategy for our extensible and reusable data platform and act as the team's delivery lead, managing the agile workflow and roadmap priorities in coordination with senior management and key stakeholders. Working primarily in the Google Cloud ecosystem, you will make high level decisions on data platforms, governance, data privacy and lead the evaluation and adoption of new technologies to drive innovation across the team. Key Responsibilities Define and own the technical strategy and architecture for the data product platform, ensuring systems are extensible, reusable and scalable. Lead the team's agile process, facilitating stand ups, managing the backlog and setting roadmap priorities with senior stakeholders. Mentor a team of Product Data Engineers, providing technical guidance, support and fostering professional growth. Drive high standards for data quality, output accuracy, platform SLAs, data privacy and governance. Evaluate, prototype and recommend new technologies and tooling to continuously improve team efficiency and product capabilities. Maintain an understanding of data consumers and paying customers to ensure product development is aligned with high value business outcomes. Ensure data lineage, accessibility, privacy and security are correctly implemented throughout the data lifecycle Who we are Who we are The UK's fastest broadband network. The nation's best-loved mobile brand. And, one of the UK's biggest companies too. We put our customers first, making life simpler, smoother, and more joyful. With big ambitions and a brilliant team, we're building a more connected future for everyone. Our ways of working We're a flexible-first organisation, because we know people do their best work when they have choice and clarity. To support meaningful collaboration, we ask everyone to spend at least eight days each month connecting in person. That doesn't just mean time in the office, it could be team meetings, offsites, volunteering days, cross functional projects, or away days - anywhere meaningful collaboration happens. What matters is making those moments purposeful, so when we come together, it really counts. Accessible, inclusive and equitable for all Virgin Media O2 is an equal opportunities employer and we're working hard to remove bias and barriers for our people and candidates. So, we build equity and inclusion into everything we do, from the policies we craft to the relationships we shape. We support and encourage you to be your authentic self throughout your application journey with us. The must haves Technical leadership of remote engineering teams Strong Python and SQL skills; writes clean, maintainable, production grade code Architecture ownership for complex, scalable data and ML/AI solutions End to end data platform design (ingestion, modelling, analytics) Google Cloud (or equivalent) experience incl. BigQuery, Analytics Hub, Cloud Functions, dbt Commercial mindset with evidence of data product adoption, cost and delivery awareness Clear communicator across technical/non-technical audiences, up to C-suite Experience building external-facing SaaS or data products with partners Working within data contracts, privacy and regulatory constraints Effective delivery in ambiguous, fast paced environments (Agile, Jira, Confluence) Coaching engineers with strong hands on Python and SQL capability The other stuff we are looking for Built new products from scratch (greenfield over legacy) Worked with sensitive data in regulated industries (e.g. telco) Experience with data cleanrooms (Google, Snowflake or equivalent) What's in it for you As you're already a valued member of the Virgin Media O2 crew, you'll know lots about the amazing stuff we do to take care of our people. If you need a reminder, head on over to the benefits portal via the main intranet site. Next steps If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include a technical and competency based interview. When you apply, you'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you're offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed. Thanks for your patience and for showing an interest in joining the Virgin Media O2 family.
About the Role: Grade Level (for internal use): 15 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long-term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, reporting and tracking its adoption. Support governance activities by maintaining accurate, up-to-date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real-time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API-led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Assets, Data and Tooling team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan . click apply for full job details
Feb 18, 2026
Full time
About the Role: Grade Level (for internal use): 15 The Team: The S&P Enterprise Architecture office is a newly established capability that provides technology, system and data alignment, control, and insight across all divisions and corporate functions of S&P Global. The office is orientated around five strategic principles: A Single View of Enterprise Architecture - Develop and maintain a consolidated view of systems, data, and technology assets (current and future state) to support investment and integration decisions. Evolve Common Governance & Standards - Evolve and embed enterprise-level governance and standards building on existing TDOC and ARB processes. Enable Enterprise-Scale Data, AI, & Agentic Capabilities - Coordinate architecture for AI and agentic solutions to ensure responsible adoption and shared value across business units. Develop Architecture Capability and Community - Build an empowered network of architects across divisions and functions with shared ways of working, tools, architecture principles and frameworks. Deliver Measurable Business Alignment & Value - Enable Technology Value realization and demonstrate clear outcomes such as cost savings through reduced duplication, enhanced Productivity through improved time-to-market, and Efficiency through optimized investment. The office is newly formed as part of the company's strategy to more tightly align technology, business functions and data assets to accelerate AI readiness of the entire technology estate. The office has oversight of all aspects of technology: from IT and business systems through to product platforms. As part of this new office initiative, multiple roles are being recruited across levels. Each role will be assigned to any of the 3 priority capabilities, with a possibility of role rotation enabling a well-rounded team. Strategy and Program: To set overall direction and interact with key initiatives across S&P, driving synergy and efficiency optimization, including strategy and transformation roadmap for future state EA artifacts. Governance and Community: To run and embed governance and activate the architecture community through ARBs, TDAs, and other related processes. Establishing cohesive definitions and effective ways of working, including aligning the Divisions towards the standards of the future state EA artifacts. Assets and Tooling: To own architecture tool(s) and drive transparent documentation of multiple architectural assets and best practices, including the implementation and ownership of future state EA artifacts. The Impact: As an Enterprise Architect, you will report to the S&P Global Head of Enterprise Architecture and will be part of the newly formed S&P EA office. You will support 150 architects across the Divisions, driving alignment between technical solutions and business needs, fostering a culture of innovation, and overseeing the seamless integration of governance processes to support scalable and unified technology, data and product outcomes throughout S&P Global. Responsibilities and Impact Govern and manage Architecture assets, serving as the product owner for the Enterprise Architecture tooling platform, managing EA tooling platform roadmap, configuration, and lifecycle management. Oversee the evaluation of software and hardware product standards to ensure alignment with strategy, architectural standards, integration requirements, risk management, and long-term sustainability across the technology landscape. Partner with Business and Technical teams to ensure architecture assets and tooling investments deliver measurable business value and support capability development. Assess and guide on architecture for product/platform enablement (e.g., digital subscription platforms, SaaS offerings, global delivery of information assets) and ensure architecture supports scalability, performance, reliability, global compliance. Measure and report on architectural effectiveness, using the Enterprise Architecture tooling platform to track key metrics such as technical debt reduction, component reuse percentage and percentage of automation adoption. Support to build the architecture community and promote shared standards and practices to build a network of architects with shared ways of working, tools, and frameworks. Drive ownership in maintaining future state EA artifacts and tools, publish, reporting and tracking its adoption. Support governance activities by maintaining accurate, up-to-date architectural models and artifacts within the enterprise tooling platform. Form partnerships across the enterprise and externally, to facilitate collaboration and remain informed of new capabilities and emerging technology trends. Drive the mandate and contribute to the ongoing success of the Enterprise Architecture office. Lead and implement the Architecture Observability (AO) strategy, transforming enterprise architecture into a dynamic, queryable system by leveraging data from across our technology estate. By ensuring strong data governance, ownership, and quality, this role enables real-time insights and trend analysis, moving beyond static documentation to a live architectural model. Lead a Data Governance team, establishing best practices for data stewardship, quality, compliance, and lifecycle management. Lead a Data Driven Decisions team responsible for providing executive dashboards and business intelligence capabilities, enabling actionable insights for leadership. Manage and mentor an engineering team, driving delivery of data, analytics, and architecture solutions. Required Skills, Experience, and Knowledge As an Enterprise Architect: Expert knowledge of established architecture frameworks (e.g., TOGAF, Gartner or Zachman) and their application in driving enterprise-level standards and compliance. Demonstrated ability to influence and partner with senior Product, Technology, and Business leaders to align technology & architectural decisions with investment prioritization. Critically a focus on servant leadership, ensuring that EA is not perceived as an ivory tower practice. Deep expertise in one or more core architectural domains: Data Architecture, Cloud Platforms (AWS, Azure, or GCP), Microservices, or API-led architecture. Strategic partnership lens, with understanding of entire data & software lifecycle to enable comprehensive support of Divisional needs. Significant, hands on experience with major Enterprise Architecture management tools (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Experience in media/information services or related domain highly desirable (e.g., content delivery, subscription models, rights/licensing systems, real time analytics, digital platforms). Experience leading and developing engineering teams, including technical mentorship, performance management, and delivery leadership. Familiarity with relevant technologies, including Azure Data Fabric, Alteryx, SQL, Dremio, Python, Power BI, CSPM (Cloud Security Posture Management) tools, Enterprise Architecture tools, knowledge graphs, and USE Data.World. Bachelor's degree in computer science, Information Systems, or related discipline; Master's or MBA is a plus. Relevant architecture certifications desirable. As the Assets, Data and Tooling team: Analytical and problem solving skills with the ability to evaluate software, assess architectural fit, and manage lifecycle and sustainability considerations for architecture assets. Advanced analytical and reasoning skills to analyze functional requirements and provide data backed decisions on Buy Vs Build Vs Host. Knowledge of enterprise technology landscapes (e.g., cloud, platform consolidation, data management, and application portfolios) to ensure effective alignment between tools, data, and automation strategies. Expertise in defining and managing architectural views and artifacts, specifically "as is" and "to be" models, patterns, technology roadmaps. Proven experience as an owner or administrator of a major Enterprise Architecture tool (e.g., LeanIX, Ardoq, Alfabet, or equivalent). Demonstrated ability to lead the implementation plan for the Enterprise Architecture tooling and its associated processes. Expertise in implementing and maintaining automated tooling capabilities, including data ingestion pipelines, integrations with CMDBs, cloud inventories, CI/CD systems, or discovery tools to enhance architectural accuracy and reduce manual effort. Strong collaboration and stakeholder engagement skills, with the ability to partner across IT, Business, and Leadership teams to drive architectural alignment and tool utilization. Ability to define and implement reporting metrics to demonstrate architectural effectiveness and measure the value realization from Enterprise Architecture initiatives. Ability to lead teams focused on data governance, data driven decisions business intelligence, and architecture observability. Compensation/Benefits Information (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $150,000 to $280,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan . click apply for full job details
End Date Friday 27 February 2026 Salary Range £89,739 - £99,710 Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Data Science Manager SALARY: £89,739 - £99,710 LOCATION(S): London & Bristol HOURS: Full time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this opportunity At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. We're looking for someone to join as a Data Science Manager within our innovative, collaborative and highly-skilled AI, Data & Engineering team in Group Audit (GA). At GA, we see AI as integral to our mission of supporting our purpose and strategy. We have a strategic commitment to harness cutting edge AI and cultivate an AI fluent function. In this role, you will have an opportunity to perform a hands-on and multifaceted role within a skilled and supportive team of data scientists and engineers who are highly visible to senior management, with exposure to the entire Group. You will have a passion for data science and engineering on GCP, strong customer focus, and interest in learning about internal audit. The successful candidate will work across all stages of the data science lifecycle from problem identification to designing and implementing applications that use AI & ML techniques. These will support delivery of our audit plan, provide insights, and drive innovation within Group Audit.You will have the opportunity to: Lead multiple data science and application development projects concurrently with great autonomy. Programming tasks will include designing, implementing, and delivering applications, as well as creating data models and data pipelines in a mixed on premises and Google Cloud Platform environment. Design, build, test, and deploy robust AI/ML and generative AI systems, including cloud native architectures. Ensure solutions are scalable, secure, and production ready within enterprise frameworks. Diagnose complex issues and deliver high quality technical solutions aligned to best practices and standards. Produce specifications, testing approaches, and documentation to support reliable and consistent delivery. Lead other team members and manage stakeholders, acting as a project lead and applying agile project management and software development best practices. Work collaboratively across the audit function to identify innovative opportunities to apply data science techniques for business monitoring, audit planning, and audit delivery. Acquire sufficient levels of auditing and business knowledge, positively impacting the quality of GA's assurance work. Communicate technical concepts in plain, simple language that is easy for non technical stakeholders to understand. Answer queries and provide support to end users for existing utilities. Why Lloyds Banking Group If you think all banks are the same, you'd be wrong. We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What you'll need Experience leading application development and data science projects, involving techniques such as generative AI, machine learning and natural language processing. Experience designing and implementing infrastructure on Google Cloud Platform. The ability to productionise data and AI models for non-technical users while applying best practices in software development and ensuring that key data science, engineering, and programming concepts are applied. Proven ability to translate data science and AI capabilities into measurable business value. Experience at managing peers or more junior colleagues on projects, holding colleagues accountable, ensuring the quality and timeliness of the project delivery, and fostering a culture of collaboration and continuous improvement. Managing stakeholders, communicating in a way that a lay audience can understand. Supporting colleague development with training, coaching and feedback as appropriate to upskill the team and the wider function. Proficient with mainstream data science programming languages, such as Python, and the use of data analytics tools such as SQL and PowerBI. Reviewing complex code and familiarity with version control. Experience in web application development (Django, Bootstrap, jQuery) is desirable. Previous financial services, audit or risk experience is an advantage. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesIf you're excited by the thought of becoming part of our team, get in touch! We'd love to hear from you! At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
Feb 17, 2026
Full time
End Date Friday 27 February 2026 Salary Range £89,739 - £99,710 Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE: Data Science Manager SALARY: £89,739 - £99,710 LOCATION(S): London & Bristol HOURS: Full time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this opportunity At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. We're looking for someone to join as a Data Science Manager within our innovative, collaborative and highly-skilled AI, Data & Engineering team in Group Audit (GA). At GA, we see AI as integral to our mission of supporting our purpose and strategy. We have a strategic commitment to harness cutting edge AI and cultivate an AI fluent function. In this role, you will have an opportunity to perform a hands-on and multifaceted role within a skilled and supportive team of data scientists and engineers who are highly visible to senior management, with exposure to the entire Group. You will have a passion for data science and engineering on GCP, strong customer focus, and interest in learning about internal audit. The successful candidate will work across all stages of the data science lifecycle from problem identification to designing and implementing applications that use AI & ML techniques. These will support delivery of our audit plan, provide insights, and drive innovation within Group Audit.You will have the opportunity to: Lead multiple data science and application development projects concurrently with great autonomy. Programming tasks will include designing, implementing, and delivering applications, as well as creating data models and data pipelines in a mixed on premises and Google Cloud Platform environment. Design, build, test, and deploy robust AI/ML and generative AI systems, including cloud native architectures. Ensure solutions are scalable, secure, and production ready within enterprise frameworks. Diagnose complex issues and deliver high quality technical solutions aligned to best practices and standards. Produce specifications, testing approaches, and documentation to support reliable and consistent delivery. Lead other team members and manage stakeholders, acting as a project lead and applying agile project management and software development best practices. Work collaboratively across the audit function to identify innovative opportunities to apply data science techniques for business monitoring, audit planning, and audit delivery. Acquire sufficient levels of auditing and business knowledge, positively impacting the quality of GA's assurance work. Communicate technical concepts in plain, simple language that is easy for non technical stakeholders to understand. Answer queries and provide support to end users for existing utilities. Why Lloyds Banking Group If you think all banks are the same, you'd be wrong. We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What you'll need Experience leading application development and data science projects, involving techniques such as generative AI, machine learning and natural language processing. Experience designing and implementing infrastructure on Google Cloud Platform. The ability to productionise data and AI models for non-technical users while applying best practices in software development and ensuring that key data science, engineering, and programming concepts are applied. Proven ability to translate data science and AI capabilities into measurable business value. Experience at managing peers or more junior colleagues on projects, holding colleagues accountable, ensuring the quality and timeliness of the project delivery, and fostering a culture of collaboration and continuous improvement. Managing stakeholders, communicating in a way that a lay audience can understand. Supporting colleague development with training, coaching and feedback as appropriate to upskill the team and the wider function. Proficient with mainstream data science programming languages, such as Python, and the use of data analytics tools such as SQL and PowerBI. Reviewing complex code and familiarity with version control. Experience in web application development (Django, Bootstrap, jQuery) is desirable. Previous financial services, audit or risk experience is an advantage. About working for us Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policiesIf you're excited by the thought of becoming part of our team, get in touch! We'd love to hear from you! At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers.Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
Job Title : Network Project Manager Start date : ASAP Contract : 3 month Location : Hybrid (London) Sector: Retail Overview We are seeking an experienced Network Project Manager to lead the planning, execution, and delivery of network-related initiatives across the organisation. This role is responsible for coordinating cross-functional teams, managing timelines and ensuring network projects are delivered on time, within scope, and aligned with required business objectives. Key Responsibilities Plan, manage, and deliver network infrastructure projects (e.g., LAN/WAN, data centre, cloud connectivity, security, and network upgrades). Lead projects involving cloud network architectures, including VPC/VNet design, site-to-site VPNs, client VPNs, Direct Connect/ExpressRoute, and hybrid environments. Define project scope, objectives, timelines, and resource requirements. Coordinate with architects, network engineers, vendors, and business stakeholders to ensure technical and operational alignment. Develop and maintain detailed project plans, schedules, risk registers, and status reports. Track project progress, manage dependencies, and proactively address risks and issues. Oversee vendor performance and deliverables related to network projects. Facilitate project meetings, including kick-off, status updates, and post-implementation reviews. Ensure projects comply with organisational governance standards, security policies, and regulatory requirements. Manage change control processes and communicate impacts to stakeholders. Support network documentation, handover to operations, and post-deployment validation. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field (or equivalent experience). 3-7 years of project management experience, with a strong focus on network or infrastructure projects. Solid understanding of networking concepts (TCP/IP, routing, switching, firewalls, VPNs, SD-WAN, etc.). Proven experience managing multiple projects simultaneously in fast-paced environments. Strong communication, organisational, and stakeholder management skills. Experience with project management and collaboration tools (e.g., MS Project, Teams, Jira, Smartsheet, or similar). Preferred Qualifications Project management certification (PMP, PRINCE2, Agile, or similar). Experience working with cloud networking (AWS, Azure, GCP). Familiarity with ITIL or service management frameworks. Key Skills and Competencies Project planning and execution Network and cloud project delivery Hybrid and cloud networking fundamentals Risk and issue management Technical fluency in networking concepts Strong analytical and problem-solving abilities Clear, effective communication with technical and non-technical stakeholders
Feb 17, 2026
Contractor
Job Title : Network Project Manager Start date : ASAP Contract : 3 month Location : Hybrid (London) Sector: Retail Overview We are seeking an experienced Network Project Manager to lead the planning, execution, and delivery of network-related initiatives across the organisation. This role is responsible for coordinating cross-functional teams, managing timelines and ensuring network projects are delivered on time, within scope, and aligned with required business objectives. Key Responsibilities Plan, manage, and deliver network infrastructure projects (e.g., LAN/WAN, data centre, cloud connectivity, security, and network upgrades). Lead projects involving cloud network architectures, including VPC/VNet design, site-to-site VPNs, client VPNs, Direct Connect/ExpressRoute, and hybrid environments. Define project scope, objectives, timelines, and resource requirements. Coordinate with architects, network engineers, vendors, and business stakeholders to ensure technical and operational alignment. Develop and maintain detailed project plans, schedules, risk registers, and status reports. Track project progress, manage dependencies, and proactively address risks and issues. Oversee vendor performance and deliverables related to network projects. Facilitate project meetings, including kick-off, status updates, and post-implementation reviews. Ensure projects comply with organisational governance standards, security policies, and regulatory requirements. Manage change control processes and communicate impacts to stakeholders. Support network documentation, handover to operations, and post-deployment validation. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field (or equivalent experience). 3-7 years of project management experience, with a strong focus on network or infrastructure projects. Solid understanding of networking concepts (TCP/IP, routing, switching, firewalls, VPNs, SD-WAN, etc.). Proven experience managing multiple projects simultaneously in fast-paced environments. Strong communication, organisational, and stakeholder management skills. Experience with project management and collaboration tools (e.g., MS Project, Teams, Jira, Smartsheet, or similar). Preferred Qualifications Project management certification (PMP, PRINCE2, Agile, or similar). Experience working with cloud networking (AWS, Azure, GCP). Familiarity with ITIL or service management frameworks. Key Skills and Competencies Project planning and execution Network and cloud project delivery Hybrid and cloud networking fundamentals Risk and issue management Technical fluency in networking concepts Strong analytical and problem-solving abilities Clear, effective communication with technical and non-technical stakeholders
Associate Director - Technology Strategy, Vision & Architecture (Consumer) Basic information Location Bristol, Edinburgh, Glasgow, London, Manchester Business Line Job Type Permanent / FTC Date published 17-Dec-2025 21592 Connect to your Industry Our leading architecture group TSV&A (Technology Strategy, Vision & Architecture), is positioned at the crucial intersection of business, technology, and industry to help our global clients reimagine their business through the latest technological advancements, solving our clients' most complex business and technology problems and accelerating their IT modernisation and digital transformation journeys. TSV&A is responsible for assisting our global clients in answering their most challenging problems using 5 key pillars: Explore the latest technologies & build practical use cases in a hands-on approach, helping our clients reimagine their business. Translate business vision into technology strategy to ensure foundational capabilities are in place. Harnessing our expertise in EA & SA to set the strategic vision, create the blueprint for change as a precursor to driving delivery across programmes with complex interdependencies. Develop blueprints to implement a tailored solution that fulfils the strategy and provide technical assurance. Linking into Cloud, cyber, integration and much more. Provide guidance and support to establish, run and transition our clients' Enterprise Architecture function by developing our Agile Architecture PoV and Architecture function in a Box. We are responsible towards our clients in formulating their vision, strategy, Technology perspectives and outputs. Our recent perspectives and outputs include: Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together at Deloitte?It'show we approach the thousands of decisions we make everyday. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, whereverwe arein the world, welead the way,serve with integrity, take care of each other ,fosterinclusion, andcollaborate for measurable impact. These five shared values lead every decision wemake and action we take, guiding us to deliver impact how and where it mattersmost . Connect to your opportunity Our TSV&A operating unit in the UK is growing and we are looking to hire experienced individuals to be part of a team delivering high-quality consultative services in a dynamic and growing marketplace. You will have the opportunity to become a key member of this team, working with not only some of the largest global companies, but some of the newest and most entrepreneurial businesses too. This exciting role will involve the following: Drive large, complex and innovative transformation programmes through the development and delivery of technology architecture. Combine strategic thinking, advisory skills, and hands-on architecture leadership to advise CxOs of some of the biggest and well-known Consumer brands globally Lead teams that deliver technology strategies and technology roadmaps Advise CTO/CIOs and board stakeholders on future technology investments and innovative technology solutions Lead definition and delivery of the client's architecture vision, as well as effective architecture options analysis & design decisions. Lead definition and execution of the client's architecture management, governance and assurance process. Lead the development of architecture methods and collateral to build architecture community and capability. Use architecture knowledge and skills to support business development, build external eminence and lead the planning and running of architecture learning and development initiatives. Lead large client engagements, with a strong market trends awareness around the architecture, digital technologies, and cloud platforms. Create propositions driving business development activities in the Consumer industry. Provide mentorship and build competence in TSV&A team in the areas of Consumer industry domain. Connect to your skills and professional experience For the Associate Director grade, we are looking for candidates that can bring insight and experience to our Consumer industry leadership team. You must demonstrate experience in: Understanding and communicating Consumer trends and the evolving market/industry trends impacting businesses like Retail, Consumer Products, Automotive or Transportation Hospitality & Services, and the underlying implications for architecture and technology investments Breadth and depth of experience across the enterprise architecture domains: Business Architecture, Data Architecture, Application Architecture and Technology Architecture Leading architecture workstreams on large-scale technology enabled business transformation programmes in Consumer industries, especially those underpinned by core technology modernisations (e.g. SAP, Oracle, Salesforce, Service Now, etc) Experience in providing advisory services to Board-level and C-suite stakeholders Experienced in capability development activities, such as team building, training, recruitment, career planning, staff assessments. Building external or internal eminence by contributing to thought leadership, methods, knowledge management, points of view, speaking at industry events, membership of industry groups or publications Leading diverse teams drawing together those with a wide range of capabilities and perspectives and demonstrating commitment to diversity and inclusion Must show risk awareness and sound judgment in the management of risk from both client and supplier perspectives Certifications in Enterprise Architecture frameworks (TOGAF, LeanIX, ArchiMate and more), Cloud (AWS, Azure or GCP), Agile, ITIL, COBIT or any leading platform solution would be advantageous Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. That's what connects us. That's what makes us Deloitte. If you want to help solve some of the biggest tech and transformational challenges around, join us. Together, we'll make an impact that matters. Enterprise, Technology and Performance Our clients want to achieve maximum value from digital transformation investments in Finance, Supply Chain and IT operations. That's where we come in. By taking a holistic view of performance improvement, including strategy, process design and technology enablement, we support the smooth operation of transformations. Personal independence Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further detail as you progress through the recruitment process or you can contact the Independence team upon request. Connect with your colleagues "I enjoy helping client analyse their capabilities through an Architecture and Strategy lens as it represents what the business can deliver and where they want to be." - Jen, Technology and Transformation "I very much enjoy the challenging nature of my work, and the unique opportunities we have to lead change across industries. A great bonus - I usually work with a team of passionate, fun, and driven people who come from diverse backgrounds and experiences, but all strive to make a meaningful impact and to learn from each other." - Kieran, Technology and Transformation "Being in a position to be able to challenge, influence and support our clients in solving complex problems such as M&A and Net Zero with technology at the centre, is a huge motivating factor." - Sharbanee Prusty, Technology and Transformation Our hybrid working policy You'll be based in one of our UK offices with hybrid working. At Deloitte we understand the importance of balancing your career alongside your home life. That's why we'll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you'll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You'll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role. Our commitment to you Making an impact is more than just what we do: it's why we're here . click apply for full job details
Feb 17, 2026
Full time
Associate Director - Technology Strategy, Vision & Architecture (Consumer) Basic information Location Bristol, Edinburgh, Glasgow, London, Manchester Business Line Job Type Permanent / FTC Date published 17-Dec-2025 21592 Connect to your Industry Our leading architecture group TSV&A (Technology Strategy, Vision & Architecture), is positioned at the crucial intersection of business, technology, and industry to help our global clients reimagine their business through the latest technological advancements, solving our clients' most complex business and technology problems and accelerating their IT modernisation and digital transformation journeys. TSV&A is responsible for assisting our global clients in answering their most challenging problems using 5 key pillars: Explore the latest technologies & build practical use cases in a hands-on approach, helping our clients reimagine their business. Translate business vision into technology strategy to ensure foundational capabilities are in place. Harnessing our expertise in EA & SA to set the strategic vision, create the blueprint for change as a precursor to driving delivery across programmes with complex interdependencies. Develop blueprints to implement a tailored solution that fulfils the strategy and provide technical assurance. Linking into Cloud, cyber, integration and much more. Provide guidance and support to establish, run and transition our clients' Enterprise Architecture function by developing our Agile Architecture PoV and Architecture function in a Box. We are responsible towards our clients in formulating their vision, strategy, Technology perspectives and outputs. Our recent perspectives and outputs include: Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together at Deloitte?It'show we approach the thousands of decisions we make everyday. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, whereverwe arein the world, welead the way,serve with integrity, take care of each other ,fosterinclusion, andcollaborate for measurable impact. These five shared values lead every decision wemake and action we take, guiding us to deliver impact how and where it mattersmost . Connect to your opportunity Our TSV&A operating unit in the UK is growing and we are looking to hire experienced individuals to be part of a team delivering high-quality consultative services in a dynamic and growing marketplace. You will have the opportunity to become a key member of this team, working with not only some of the largest global companies, but some of the newest and most entrepreneurial businesses too. This exciting role will involve the following: Drive large, complex and innovative transformation programmes through the development and delivery of technology architecture. Combine strategic thinking, advisory skills, and hands-on architecture leadership to advise CxOs of some of the biggest and well-known Consumer brands globally Lead teams that deliver technology strategies and technology roadmaps Advise CTO/CIOs and board stakeholders on future technology investments and innovative technology solutions Lead definition and delivery of the client's architecture vision, as well as effective architecture options analysis & design decisions. Lead definition and execution of the client's architecture management, governance and assurance process. Lead the development of architecture methods and collateral to build architecture community and capability. Use architecture knowledge and skills to support business development, build external eminence and lead the planning and running of architecture learning and development initiatives. Lead large client engagements, with a strong market trends awareness around the architecture, digital technologies, and cloud platforms. Create propositions driving business development activities in the Consumer industry. Provide mentorship and build competence in TSV&A team in the areas of Consumer industry domain. Connect to your skills and professional experience For the Associate Director grade, we are looking for candidates that can bring insight and experience to our Consumer industry leadership team. You must demonstrate experience in: Understanding and communicating Consumer trends and the evolving market/industry trends impacting businesses like Retail, Consumer Products, Automotive or Transportation Hospitality & Services, and the underlying implications for architecture and technology investments Breadth and depth of experience across the enterprise architecture domains: Business Architecture, Data Architecture, Application Architecture and Technology Architecture Leading architecture workstreams on large-scale technology enabled business transformation programmes in Consumer industries, especially those underpinned by core technology modernisations (e.g. SAP, Oracle, Salesforce, Service Now, etc) Experience in providing advisory services to Board-level and C-suite stakeholders Experienced in capability development activities, such as team building, training, recruitment, career planning, staff assessments. Building external or internal eminence by contributing to thought leadership, methods, knowledge management, points of view, speaking at industry events, membership of industry groups or publications Leading diverse teams drawing together those with a wide range of capabilities and perspectives and demonstrating commitment to diversity and inclusion Must show risk awareness and sound judgment in the management of risk from both client and supplier perspectives Certifications in Enterprise Architecture frameworks (TOGAF, LeanIX, ArchiMate and more), Cloud (AWS, Azure or GCP), Agile, ITIL, COBIT or any leading platform solution would be advantageous Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. That's what connects us. That's what makes us Deloitte. If you want to help solve some of the biggest tech and transformational challenges around, join us. Together, we'll make an impact that matters. Enterprise, Technology and Performance Our clients want to achieve maximum value from digital transformation investments in Finance, Supply Chain and IT operations. That's where we come in. By taking a holistic view of performance improvement, including strategy, process design and technology enablement, we support the smooth operation of transformations. Personal independence Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further detail as you progress through the recruitment process or you can contact the Independence team upon request. Connect with your colleagues "I enjoy helping client analyse their capabilities through an Architecture and Strategy lens as it represents what the business can deliver and where they want to be." - Jen, Technology and Transformation "I very much enjoy the challenging nature of my work, and the unique opportunities we have to lead change across industries. A great bonus - I usually work with a team of passionate, fun, and driven people who come from diverse backgrounds and experiences, but all strive to make a meaningful impact and to learn from each other." - Kieran, Technology and Transformation "Being in a position to be able to challenge, influence and support our clients in solving complex problems such as M&A and Net Zero with technology at the centre, is a huge motivating factor." - Sharbanee Prusty, Technology and Transformation Our hybrid working policy You'll be based in one of our UK offices with hybrid working. At Deloitte we understand the importance of balancing your career alongside your home life. That's why we'll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you'll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You'll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role. Our commitment to you Making an impact is more than just what we do: it's why we're here . click apply for full job details
Location: UK - London, UK - Birmingham, UK - Edinburgh, UK - Hatfield, UK - Manchester, UK - Milton Keynes, UK - Nottingham, UK - Reading Job-ID: 216415 Contract type: Standard Business Unit: IT Consulting Life on the team Join Computacenter's growing Consultancy Practice and work in a globally recognised IT services business operating across 70+ countries. You'll collaborate with experienced Enterprise Solution Architects, consultants, and technology experts, delivering complex, high-profile programmes in the defence sector. We offer: Flexible UK base location with regular UK-wide and occasional overseas travel Access to professional & technical training, including conferences Exposure to cutting-edge technologies across Workplace, Networking, Security, Datacentre, Cloud, and Applications You'll work in a culture that values expertise, innovation, and collaboration, giving you the freedom to grow, learn, and influence enterprise technology outcomes. What you'll do As an Enterprise Solution Architect, you'll act as a trusted technical authority, shaping and delivering enterprise-scale, mission critical solutions. Key responsibilities include: Engaging with customers to understand their business and technology strategy Leading pre sales architecture, qualifying opportunities and producing high level design documentation Acting as Design Authority for key accounts, ensuring solutions meet security, compliance, and business objectives Designing and implementing integrated, cross domain solutions across: Microsoft 365 & Workplace solutions Networking and enterprise security Datacentre and hybrid cloud Cloud platforms & applications Collaborating with C level executives, senior IT leaders, vendors, and partners Leading or contributing to large scale IT transformation programmes Providing technical governance and assurance across pre and post sales engagements Supporting new proposition development with the Group Strategy & Portfolio team Staying current with emerging technologies, vendor roadmaps, and market trends What you'll need We're looking for a consultative, senior architect with a strong record in enterprise architecture, IT transformation, and defence sector delivery. You'll need: Experience & Leadership Proven experience leading complex, multi domain IT solutions Experience in pre sales and customer facing consultancy Defence sector experience and knowledge of security and regulatory compliance Ability to lead C level conversations and manage senior stakeholders Strong track record of end to end delivery Technical Knowledge & Skills Microsoft client, server, and cloud architecture expertise Deep understanding of Microsoft 365, Azure, IDAM, and security solutions Broad experience across Networking, Security, Datacentre, Cloud, Applications, and Automation Exposure to tools such as: Cisco, Palo Alto, VMware, Nutanix, AWS, Google Cloud, Kubernetes, Ansible, Terraform, Microsoft Power Platform Certifications (desirable) Cloud (Azure Solutions Architect, AWS Solutions Architect, GCP Architect) Microsoft 365, Azure, Identity & Security certifications About us We are a leading independent technology and services provider, trusted by large corporate and public sector organisations. We are a responsible business that believes in winning together for our people and our planet. We help our customers to source, transform and manage their technology infrastructure to deliver digital transformation, enabling people and their business. Our business may be about technology, but first of all it's about people With over 20,000 people across 22 countries, we are proud of our inclusive culture - where everyone can thrive, feel valued, and truly belong. As an equal opportunities employer, we're committed to ensuring fair and equal access to opportunities for all. Your application will be considered on its merits, regardless of your age, disability, ethnicity, gender identity, or any other characteristics protected by law. What matters most to us is that you share our vision and values, and bring the experience and skills we're looking for. We are proud to be a Disability Confident Employer. We welcome applications from disabled people and accept applications in alternative formats. We also guarantee to interview applicants who have a disability. If you share our values and want to make a meaningful impact in a supportive, forward thinking environment - we'd love to hear from you!
Feb 16, 2026
Full time
Location: UK - London, UK - Birmingham, UK - Edinburgh, UK - Hatfield, UK - Manchester, UK - Milton Keynes, UK - Nottingham, UK - Reading Job-ID: 216415 Contract type: Standard Business Unit: IT Consulting Life on the team Join Computacenter's growing Consultancy Practice and work in a globally recognised IT services business operating across 70+ countries. You'll collaborate with experienced Enterprise Solution Architects, consultants, and technology experts, delivering complex, high-profile programmes in the defence sector. We offer: Flexible UK base location with regular UK-wide and occasional overseas travel Access to professional & technical training, including conferences Exposure to cutting-edge technologies across Workplace, Networking, Security, Datacentre, Cloud, and Applications You'll work in a culture that values expertise, innovation, and collaboration, giving you the freedom to grow, learn, and influence enterprise technology outcomes. What you'll do As an Enterprise Solution Architect, you'll act as a trusted technical authority, shaping and delivering enterprise-scale, mission critical solutions. Key responsibilities include: Engaging with customers to understand their business and technology strategy Leading pre sales architecture, qualifying opportunities and producing high level design documentation Acting as Design Authority for key accounts, ensuring solutions meet security, compliance, and business objectives Designing and implementing integrated, cross domain solutions across: Microsoft 365 & Workplace solutions Networking and enterprise security Datacentre and hybrid cloud Cloud platforms & applications Collaborating with C level executives, senior IT leaders, vendors, and partners Leading or contributing to large scale IT transformation programmes Providing technical governance and assurance across pre and post sales engagements Supporting new proposition development with the Group Strategy & Portfolio team Staying current with emerging technologies, vendor roadmaps, and market trends What you'll need We're looking for a consultative, senior architect with a strong record in enterprise architecture, IT transformation, and defence sector delivery. You'll need: Experience & Leadership Proven experience leading complex, multi domain IT solutions Experience in pre sales and customer facing consultancy Defence sector experience and knowledge of security and regulatory compliance Ability to lead C level conversations and manage senior stakeholders Strong track record of end to end delivery Technical Knowledge & Skills Microsoft client, server, and cloud architecture expertise Deep understanding of Microsoft 365, Azure, IDAM, and security solutions Broad experience across Networking, Security, Datacentre, Cloud, Applications, and Automation Exposure to tools such as: Cisco, Palo Alto, VMware, Nutanix, AWS, Google Cloud, Kubernetes, Ansible, Terraform, Microsoft Power Platform Certifications (desirable) Cloud (Azure Solutions Architect, AWS Solutions Architect, GCP Architect) Microsoft 365, Azure, Identity & Security certifications About us We are a leading independent technology and services provider, trusted by large corporate and public sector organisations. We are a responsible business that believes in winning together for our people and our planet. We help our customers to source, transform and manage their technology infrastructure to deliver digital transformation, enabling people and their business. Our business may be about technology, but first of all it's about people With over 20,000 people across 22 countries, we are proud of our inclusive culture - where everyone can thrive, feel valued, and truly belong. As an equal opportunities employer, we're committed to ensuring fair and equal access to opportunities for all. Your application will be considered on its merits, regardless of your age, disability, ethnicity, gender identity, or any other characteristics protected by law. What matters most to us is that you share our vision and values, and bring the experience and skills we're looking for. We are proud to be a Disability Confident Employer. We welcome applications from disabled people and accept applications in alternative formats. We also guarantee to interview applicants who have a disability. If you share our values and want to make a meaningful impact in a supportive, forward thinking environment - we'd love to hear from you!
Day rate: 500 - 550 Inside IR35 Location: London Key Responsibilities Design, build, and maintain scalable data pipelines , ETL processes, and data integrations. Develop and optimize data models , storage solutions, and analytics environments. Partner with UX/UI designers to create user-friendly dashboards, data tools, and internal products . Implement visualizations that make complex datasets understandable for technical and non-technical users. Work with cross-functional teams to translate product requirements into technical designs. Ensure data quality, governance, and best practices across systems. Contribute to the evolution of our design systems and front-end components for data tools. Required Skills & Experience Proven experience as a Data Engineer , BI Engineer , or similar role. Strong proficiency in SQL , Python , and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data warehousing and ETL/ELT architecture. Demonstrable UX/UI skills: wireframing, prototyping, and designing clean, intuitive interfaces. Experience with front-end technologies (e.g., React, Vue, or similar) is a plus. Familiarity with visualization tools (e.g., Tableau, Power BI, or custom solutions).
Feb 16, 2026
Contractor
Day rate: 500 - 550 Inside IR35 Location: London Key Responsibilities Design, build, and maintain scalable data pipelines , ETL processes, and data integrations. Develop and optimize data models , storage solutions, and analytics environments. Partner with UX/UI designers to create user-friendly dashboards, data tools, and internal products . Implement visualizations that make complex datasets understandable for technical and non-technical users. Work with cross-functional teams to translate product requirements into technical designs. Ensure data quality, governance, and best practices across systems. Contribute to the evolution of our design systems and front-end components for data tools. Required Skills & Experience Proven experience as a Data Engineer , BI Engineer , or similar role. Strong proficiency in SQL , Python , and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data warehousing and ETL/ELT architecture. Demonstrable UX/UI skills: wireframing, prototyping, and designing clean, intuitive interfaces. Experience with front-end technologies (e.g., React, Vue, or similar) is a plus. Familiarity with visualization tools (e.g., Tableau, Power BI, or custom solutions).
Logiq is a fast-growing technology Company, providing cutting-edge solutions to high-risk clients across Private and Public Sector. Due to rapid growth in our Security Capability, we are looking for experienced AI Architects to join our team. Location: Hybrid Salary: Negotiable, plus car allowance, plus up to 10% performance bonus , plus excellent benefits package. Travel Required: Travel expected to client or Logiq's offices in Bristol, Chippenham or Exeter Category: Architecture Clearance: UK - SC Role Status: Open / Accepting Applications As an AI Technical Architect, you'll design and deliver production grade AI enabled and cloud native systems across Azure, AWS, and hybrid environments. You'll operate as a hands on technical leader: turning ambiguous client needs into secure, scalable architectures, then building, deploying, and running what you design. This role suits someone who enjoys the full lifecycle: rapid prototyping, strong engineering fundamentals, infrastructure as code, and the operational discipline that comes with "you build it, you run it." You'll help set the technical patterns Logiq uses for AI delivery, platform engineering, observability, and secure by default cloud implementations, while leading small engineering teams and supporting clients through delivery and change. Expect variety: one week you may be shaping a reference architecture and delivery plan; the next you're implementing CI/CD, shipping a containerised service to AKS/EKS, hardening identity and network controls, and instrumenting logs/metrics/tracing so the system is supportable in the real world. Logiq's Architecture Practice brings together highly experienced technologists and IT professionals with a passion for delivering complex solutions that drive tangible uplifts in capability for clients and their users. We specialise in Enterprise and Solution Architecture, AI Systems Architecture, Systems Engineering, Service Management and DevOps, to build highly effective teams tailored to the problem space and requirements. As part of the Secure Systems Team, you'll have the opportunity to: Develop solutions for complex and unique operating environments Adapt leading edge technology solutions for novel and challenging use cases Build effective multi discipline teams capable of delivering to the highest assurance levels Key Reponsibilities Solution Design: Develop scalable, secure architectures for cloud and hybrid environments, translating business needs into actionable designs, incorporating security best practices from day one. Hands On Delivery: Prototype, integrate, and deploy solutions using Python, Terraform, GitHub/Gitlab, docker, Kubernetes and other modern cloud native tools. Technical Leadership: Lead technical delivery teams, mentor junior engineers, and ensure quality across design and implementation. System Hardening: Implement secure by design configurations across cloud and hybrid environments, applying hardened baselines, enforcing least privilege access, and ensuring environments are resilient against threats through proactive security controls, monitoring, and continuous optimisation. Client Engagement: Build trusted relationships, gather requirements, and present solutions that deliver measurable value. Continuous Improvement: Drive innovation through proof of concepts, experimentation, and adoption of best practices. Winning Work & Market Presence: Partner with other members of the Architecture Practice to win new engagements, leading technical bid responses, solutioning, and client facing workshops, while building Logiq's AI capability through IP development, case studies, and internal enablement. You will collaborate with multi disciplinary teams, adapting to various roles within client projects. This is an excellent opportunity to broaden your expertise or specialise further, with Logiq's support for your professional growth. Employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application. Travel to client sites and Logiq offices will be required. What We're Looking For Proven experience in solution architecture and hands on delivery across cloud environments. Strong consulting and communication skills - comfortable engaging with clients and influencing decisions. Shipped production systems on Azure, AWS or GCP with operational ownership (you build it, you run it). IaC expertise (Terraform preferred) + CI/CD (GitHub Actions/GitLab CI) + container platforms (AKS/EKS). Understanding of security principles for cloud and enterprise systems, including the ability to design solutions with identity, logging and alerting, access control and data protection in mind. A passion for learning and experimenting with emerging technologies and sharing this knowledge with others. Experience with data engineering and pipelines, including ETL processes and working with both traditional relational databases and modern vector databases. An understanding of Site Reliability Engineering best practices and Platforms / DevOps best practices. Exposure to AI concepts such as LLMs, RAG, and agent based systems (or a strong desire to learn). Experience previously working with central government and an understanding of government ways of working Knowledge of Site Reliability Engineering best practices and Platforms / DevOps best practices. Why Join Logiq Work on impactful projects that drive efficiency and innovation across diverse sectors. Access professional development pathways tailored to your career ambitions. Enjoy flexible working arrangements and a competitive benefits package. What the Team Say At Logiq, I love being part of a team that thrives on exciting, fast paced projects in complex environments. We focus on delivering real value rather than getting bogged down by unnecessary processes. The collaborative culture encourages initiative and empowers me to make impactful decisions, with support always available when I need it. I also feel supported in my project work and career development, with plenty of opportunities to enhance my skills and take on new challenges. Logiq's investment in its people ensures I have both the tools and encouragement to achieve my goals. As someone with a challenging home life, including children with additional needs, the hybrid working model has been invaluable. Logiq treats me as a professional, trusting me to manage my work, projects, and outputs while balancing my family commitments. The flexibility to adapt my schedule for school runs and care needs, combined with a supportive team and rewarding work, makes this a truly unique place to grow and succeed. Other Information Logiq is committed to investing in people, offering clear progression pathway into our consultancy service, and we will passionately support professional growth to develop our employees. Flexible working is available including part time / term time working patterns. All suggestions are welcomed to be discussed as part of a proposed employment package. Logiq is dedicated to fostering an inclusive workplace. Our commitment is to ensure equal opportunities for all in both employment and career advancement. We base our decisions on individual merit, qualifications and suitability for the role, without regard to gender, age, marital or civil partnership status, sexual orientation, ethnicity, disability, race, religion or national background. Bonus payments are discretionary and awarded upon successful completion of probation.
Feb 16, 2026
Full time
Logiq is a fast-growing technology Company, providing cutting-edge solutions to high-risk clients across Private and Public Sector. Due to rapid growth in our Security Capability, we are looking for experienced AI Architects to join our team. Location: Hybrid Salary: Negotiable, plus car allowance, plus up to 10% performance bonus , plus excellent benefits package. Travel Required: Travel expected to client or Logiq's offices in Bristol, Chippenham or Exeter Category: Architecture Clearance: UK - SC Role Status: Open / Accepting Applications As an AI Technical Architect, you'll design and deliver production grade AI enabled and cloud native systems across Azure, AWS, and hybrid environments. You'll operate as a hands on technical leader: turning ambiguous client needs into secure, scalable architectures, then building, deploying, and running what you design. This role suits someone who enjoys the full lifecycle: rapid prototyping, strong engineering fundamentals, infrastructure as code, and the operational discipline that comes with "you build it, you run it." You'll help set the technical patterns Logiq uses for AI delivery, platform engineering, observability, and secure by default cloud implementations, while leading small engineering teams and supporting clients through delivery and change. Expect variety: one week you may be shaping a reference architecture and delivery plan; the next you're implementing CI/CD, shipping a containerised service to AKS/EKS, hardening identity and network controls, and instrumenting logs/metrics/tracing so the system is supportable in the real world. Logiq's Architecture Practice brings together highly experienced technologists and IT professionals with a passion for delivering complex solutions that drive tangible uplifts in capability for clients and their users. We specialise in Enterprise and Solution Architecture, AI Systems Architecture, Systems Engineering, Service Management and DevOps, to build highly effective teams tailored to the problem space and requirements. As part of the Secure Systems Team, you'll have the opportunity to: Develop solutions for complex and unique operating environments Adapt leading edge technology solutions for novel and challenging use cases Build effective multi discipline teams capable of delivering to the highest assurance levels Key Reponsibilities Solution Design: Develop scalable, secure architectures for cloud and hybrid environments, translating business needs into actionable designs, incorporating security best practices from day one. Hands On Delivery: Prototype, integrate, and deploy solutions using Python, Terraform, GitHub/Gitlab, docker, Kubernetes and other modern cloud native tools. Technical Leadership: Lead technical delivery teams, mentor junior engineers, and ensure quality across design and implementation. System Hardening: Implement secure by design configurations across cloud and hybrid environments, applying hardened baselines, enforcing least privilege access, and ensuring environments are resilient against threats through proactive security controls, monitoring, and continuous optimisation. Client Engagement: Build trusted relationships, gather requirements, and present solutions that deliver measurable value. Continuous Improvement: Drive innovation through proof of concepts, experimentation, and adoption of best practices. Winning Work & Market Presence: Partner with other members of the Architecture Practice to win new engagements, leading technical bid responses, solutioning, and client facing workshops, while building Logiq's AI capability through IP development, case studies, and internal enablement. You will collaborate with multi disciplinary teams, adapting to various roles within client projects. This is an excellent opportunity to broaden your expertise or specialise further, with Logiq's support for your professional growth. Employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application. Travel to client sites and Logiq offices will be required. What We're Looking For Proven experience in solution architecture and hands on delivery across cloud environments. Strong consulting and communication skills - comfortable engaging with clients and influencing decisions. Shipped production systems on Azure, AWS or GCP with operational ownership (you build it, you run it). IaC expertise (Terraform preferred) + CI/CD (GitHub Actions/GitLab CI) + container platforms (AKS/EKS). Understanding of security principles for cloud and enterprise systems, including the ability to design solutions with identity, logging and alerting, access control and data protection in mind. A passion for learning and experimenting with emerging technologies and sharing this knowledge with others. Experience with data engineering and pipelines, including ETL processes and working with both traditional relational databases and modern vector databases. An understanding of Site Reliability Engineering best practices and Platforms / DevOps best practices. Exposure to AI concepts such as LLMs, RAG, and agent based systems (or a strong desire to learn). Experience previously working with central government and an understanding of government ways of working Knowledge of Site Reliability Engineering best practices and Platforms / DevOps best practices. Why Join Logiq Work on impactful projects that drive efficiency and innovation across diverse sectors. Access professional development pathways tailored to your career ambitions. Enjoy flexible working arrangements and a competitive benefits package. What the Team Say At Logiq, I love being part of a team that thrives on exciting, fast paced projects in complex environments. We focus on delivering real value rather than getting bogged down by unnecessary processes. The collaborative culture encourages initiative and empowers me to make impactful decisions, with support always available when I need it. I also feel supported in my project work and career development, with plenty of opportunities to enhance my skills and take on new challenges. Logiq's investment in its people ensures I have both the tools and encouragement to achieve my goals. As someone with a challenging home life, including children with additional needs, the hybrid working model has been invaluable. Logiq treats me as a professional, trusting me to manage my work, projects, and outputs while balancing my family commitments. The flexibility to adapt my schedule for school runs and care needs, combined with a supportive team and rewarding work, makes this a truly unique place to grow and succeed. Other Information Logiq is committed to investing in people, offering clear progression pathway into our consultancy service, and we will passionately support professional growth to develop our employees. Flexible working is available including part time / term time working patterns. All suggestions are welcomed to be discussed as part of a proposed employment package. Logiq is dedicated to fostering an inclusive workplace. Our commitment is to ensure equal opportunities for all in both employment and career advancement. We base our decisions on individual merit, qualifications and suitability for the role, without regard to gender, age, marital or civil partnership status, sexual orientation, ethnicity, disability, race, religion or national background. Bonus payments are discretionary and awarded upon successful completion of probation.
DevOps Automation Managing Engineer (Hybrid) page is loaded DevOps Automation Managing Engineer (Hybrid)remote type: Hybridlocations: Belfast 10 Mays Meadow: Der-Derry/Londonderrytime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 11, 2025 (6 days left to apply)job requisition id: R21493At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team We are seeking a DevOps Automation Managing Engineer to lead and drive the design, implementation, and maintenance of secure and scalable infrastructure automation solutions. You will be responsible for integrating security best practices into DevOps workflows, managing automation pipelines, and leading a team of engineers focused on infrastructure as code, CI/CD security, and cloud-native security tooling. The ideal candidate is a hands-on technical leader with a deep understanding of DevOps principles, infrastructure automation, and cybersecurity Key Responsibilities Lead a team of Security and DevOps Automation Engineers, providing coaching, mentorship, performance feedback, and career development. Collaborate with cross-functional teams including DevOps, Security, Development, and IT to align automation efforts with security and business goals. Drive adoption of DevSecOps principles across the organisation Influence design and architecture conversations Design and implement automated security checks in CI/CD pipelines (e.g., static/dynamic analysis, secret scanning, policy enforcement). Automate infrastructure provisioning using tools like fullstack development, Infrastructure as code or Ansible, ensuring security is embedded from the start. Integrate and manage security tools (container scanners, vulnerability management, code scanning) into build and deploy processes. Establish monitoring, logging, and alerting frameworks with a security-first approach (e.g., CloudTrail, SIEM, Prometheus/Grafana). Support incident response efforts and ensure audit-readiness across environments. Contribute to security policies, risk assessments, and compliance initiatives (e.g., SOC 2, ISO 27001, HIPAA). Ensure automation solutions align with regulatory and internal compliance requirements. Essential Skills All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. At least 5 years' experience as a DevOps engineer within a full stack Java environment (Ansible, Powershell, Python) At least 2 years' in a leadership or team management position Experience within a CI/CD platforms (e.g., GitLab CI, GitHub Actions, Jenkins, CircleCI). Desirable Skills Hands-on experience with cloud platforms (AWS/GCP/Azure), Kubernetes, and containerization and container orchestration. Prior understanding of security infrastructure Supervisory Responsibilities This job has supervisory duties. Job Posting End Date: Friday 10th October Midnight Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility.We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value.We offer:• A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts• Access to world-class learning platforms and award-winning L&D• Clear career paths, internal mobility, and a strong focus on growth• A people-first culture with flexible working optionsBe part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit.Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.Posting End Date:12 September 2025
Feb 16, 2026
Full time
DevOps Automation Managing Engineer (Hybrid) page is loaded DevOps Automation Managing Engineer (Hybrid)remote type: Hybridlocations: Belfast 10 Mays Meadow: Der-Derry/Londonderrytime type: Full timeposted on: Posted Todaytime left to apply: End Date: October 11, 2025 (6 days left to apply)job requisition id: R21493At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team We are seeking a DevOps Automation Managing Engineer to lead and drive the design, implementation, and maintenance of secure and scalable infrastructure automation solutions. You will be responsible for integrating security best practices into DevOps workflows, managing automation pipelines, and leading a team of engineers focused on infrastructure as code, CI/CD security, and cloud-native security tooling. The ideal candidate is a hands-on technical leader with a deep understanding of DevOps principles, infrastructure automation, and cybersecurity Key Responsibilities Lead a team of Security and DevOps Automation Engineers, providing coaching, mentorship, performance feedback, and career development. Collaborate with cross-functional teams including DevOps, Security, Development, and IT to align automation efforts with security and business goals. Drive adoption of DevSecOps principles across the organisation Influence design and architecture conversations Design and implement automated security checks in CI/CD pipelines (e.g., static/dynamic analysis, secret scanning, policy enforcement). Automate infrastructure provisioning using tools like fullstack development, Infrastructure as code or Ansible, ensuring security is embedded from the start. Integrate and manage security tools (container scanners, vulnerability management, code scanning) into build and deploy processes. Establish monitoring, logging, and alerting frameworks with a security-first approach (e.g., CloudTrail, SIEM, Prometheus/Grafana). Support incident response efforts and ensure audit-readiness across environments. Contribute to security policies, risk assessments, and compliance initiatives (e.g., SOC 2, ISO 27001, HIPAA). Ensure automation solutions align with regulatory and internal compliance requirements. Essential Skills All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate. Allstate is not providing sponsorship for this vacancy. At least 5 years' experience as a DevOps engineer within a full stack Java environment (Ansible, Powershell, Python) At least 2 years' in a leadership or team management position Experience within a CI/CD platforms (e.g., GitLab CI, GitHub Actions, Jenkins, CircleCI). Desirable Skills Hands-on experience with cloud platforms (AWS/GCP/Azure), Kubernetes, and containerization and container orchestration. Prior understanding of security infrastructure Supervisory Responsibilities This job has supervisory duties. Job Posting End Date: Friday 10th October Midnight Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact. Allstate NI is proud to be Allstate's European Digital Centre of Excellence-recent winners of 'Best Use of Cloud Services' at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility.We're a product-driven, cloud-first organisation delivering real outcomes through modern technology, a digital product-centric talent model, and a culture rooted in engineering excellence. Our teams work in cross-functional structures, guided by an outcome-based delivery approach that accelerates speed, agility, and value.We offer:• A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts• Access to world-class learning platforms and award-winning L&D• Clear career paths, internal mobility, and a strong focus on growth• A people-first culture with flexible working optionsBe part of a high-performing, socially responsible organisation where your work has purpose, and your growth is supported every step of the way. Statement on Fair Employment and Equal Opportunities Allstate NI wishes to ensure equal opportunity is given to all job applicants. This company will not discriminate on the grounds of race, gender (including gender reassignment status), sexual orientation, religious belief, political opinion, marital status, age or disability.We are an equal opportunities employer. We welcome applications from all suitably qualified persons. However, as women are currently under-represented in our workforce, we would particularly welcome applications from women. All appointments will be made on merit.Applicants should note Allstate NI complete AccessNI background checks on all candidates offered a position.Posting End Date:12 September 2025
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Feb 15, 2026
Full time
Job Description Job Role: Data Science Manager Location: London Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team We've been at the forefront of the Data and AI revolution and want you to help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical direction of client's teams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities Qualification We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding language - e.g., Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies - e.g., SQL, ETL, No SQL, DW, and Big Data technologies - e.g., PySpark, Hive, etc. Experienced working with structured and also unstructured data - e.g., Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine tune those models - e.g., XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries - e.g., Fastai, Keras, Tensorflow, pytorch, sci kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies - e.g., AWS, GCP or Azure Specialized visualisation techniques - e.g., D3.js, ggplot, etc. Strong verbal/written communication & data presentation skills Set yourself apart Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Feb 15, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
Feb 15, 2026
Full time
We are a dynamic consulting firm focused on delivering sustainable change. We help our clients succeed in their long-term goals by turning strategy into action through exceptional delivery and establishing a culture of change. As a transformation consultancy, we work with clients to improve the way they operate, deliver services, and empower their people. We get out of the theory and into the detail - working directly with client teams to deliver meaningful, measurable impact. Our people are our greatest asset and core to why clients choose to work with us. We pride ourselves on being proactive, collaborative and straightforward team players, with a focus on being successful together. We move fast as a team, and honesty and integrity sit at the heart of how we operate. You will be part of a supportive and high performing community that looks after one another, has fun, and celebrates success together. You can expect exciting opportunities on varied and stretching projects that will equip you with skills, experience and knowledge to help organisations thrive in a rapidly changing world. We will expect you to contribute to a culture of sustainability and embrace Moorhouse's social responsibility by integrating responsible practices and upholding ethical standards and awareness in everyday work. Moorhouse is currently unable to offer visa sponsorship for this role. Unfortunately, this means we are not able to progress applications from candidates who would require sponsorship now or in the future. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining strong technical expertise with the consulting skills needed to drive real world change. Our team works across the full data and analytics lifecycle, from shaping strategy and enabling data driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI enabled transformation continues to grow, our Data Science team is continuing to grow and shaping some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? As a Senior Consultant, you will help deliver advanced analytics and digital product solutions, leading defined workstreams and shaping how data science is applied in practice. You will play a key role in both hands on delivery and client engagement. In this role, you will have the opportunity to: Deliver machine learning, forecasting and analytical solutions that support meaningful outcomes. Lead workstreams within broader programmes, ensuring clarity, structure and quality. Design analytical approaches and contribute to architectural decisions. Develop dashboards, apps and tools using PowerBI, KNIME, R or Python based frameworks. Work directly with senior stakeholders, translating analytical insights into practical and actionable recommendations. Support business development through proposals, thought leadership and proposition development. Mentor junior colleagues and contribute to capability growth. Essential skills What are we looking for? We are seeking candidates with 4+ years' experience in data science, advanced data analytics, data engineering, or digital product development. Core Analytics & Engineering Strong experience with Python and SQL; exposure to R is beneficial. Hands on delivery of machine learning models or advanced analytical techniques. Experience designing data pipelines, dashboards, APIs or analytical tools. Experience with Power BI, Tableau, KNIME or Python visualisation frameworks. Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering, including templates, guardrails and basic evaluation approaches. Awareness of model limitations, hallucinations, latency and cost trade offs. Infrastructure & Production Mindset Conceptual and light hands on familiarity with cloud infrastructure (Azure/AWS/GCP). Basic experience with Docker or environment management. Comfort moving from notebooks to production ready services, pipelines or batch workflows. Exposure to APIs, simple backends or AI enabled services. Ethics, Governance & Risk Clear understanding of data privacy, GDPR and responsible AI principles. Comfort delivering AI solutions within client governance, security and risk constraints. Ability to explain AI risks and controls clearly to non technical stakeholders. Consulting Skills Strong communication and stakeholder engagement skills. Ability to translate complex analytical and AI concepts in a way that is easy to understand and client friendly. Experience leading structured delivery within consulting or project environments. Confidence balancing technical delivery with commercial and client needs. Bonus Experience Experience building internal AI tools, copilots or assistants. Exposure to LangChain, LlamaIndex or similar orchestration frameworks. Well developed production mindset, with a focus on reliability and maintainability. What we can offer you: A total cash package of up to £80,000 comprising of a base salary of £64,575 and a combination of personal and company bonuses paid every six months. 25 days annual leave, increasing by one day for every full year of service to a maximum of 30, plus the option to buy or sell up to five days per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of lifestyle and wellbeing benefits through Perkbox. A culture free from quotas or forced performance curves, we reward performance consistently and transparently so everyone knows where they stand. Flexible working arrangements, with offices near Liverpool Street, and opportunities to spend time on client site as part of a collaborative team. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally.
