Senior Data Engineer Department: Technology: Data Technology Employment Type: Permanent - Full Time Location: London or Manchester UK Description The Senior Data Engineer will work as part of an Agile delivery squad with other data engineers and senior data engineers. The role involves delivering data engineering on a range of data products for use in insight, reporting and analytics, including AI. The position works closely with product owners, business analysts, data architects, data analysts, delivery project managers and data scientists. Key Responsibilities Managing quality of own and teams' outputs Delivering data engineering on a range of complex marketing and research processes Working with clients to understand needs and implement technology solutions Working with a range of data sources such as CRM, sales, research and HR data Building Single Customer Views, CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation Building and configuring data ingestion methods from APIs, flat files, streaming, public data sources and survey data Skills, Knowledge and Expertise Must have experience of using Azure or AWS Databricks and Medallion architecture Expert experience with Azure Data Factory or Python/Airflow and associated libraries for data processing and manipulation Experience with a range of database technologies including Azure SQL, SQL Server, Azure Data Lake, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB Understanding of Azure DevOps and CI/CD processes Knowledge of data warehouse or data lakes with SCVs or in conjunction with CDP platforms Knowledge of data ingestion of streaming data using Databricks and PySpark Understanding and application of statistical methods Ability to lead, and to work well as part of, a team using the agile methodology A growth mindset AI curious and ready to embrace opportunities Desirable Skills Palantir Foundry (Pipeline Builder) experience Knowledge of ELT/ETL tools such as Informatica DEI/BDM and Talend beneficial Experience mentoring junior to mid-level Data Engineers beneficial Benefits Holiday entitlement of 28 days with the option to buy/sell up to 5 days (3 days held for Christmas holidays) Day off on or in the week of your birthday Pension eligibility with up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and paternity and shared parental leave Cycle to work schemes Gym and retail discounts Regular social events and activities A range of other benefits from a flexible benefits package Equal Employment Opportunity We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities and those with neurodiverse traits and disabilities. We want you to have the best opportunity to demonstrate your abilities.
30/07/2026
Full time
Senior Data Engineer Department: Technology: Data Technology Employment Type: Permanent - Full Time Location: London or Manchester UK Description The Senior Data Engineer will work as part of an Agile delivery squad with other data engineers and senior data engineers. The role involves delivering data engineering on a range of data products for use in insight, reporting and analytics, including AI. The position works closely with product owners, business analysts, data architects, data analysts, delivery project managers and data scientists. Key Responsibilities Managing quality of own and teams' outputs Delivering data engineering on a range of complex marketing and research processes Working with clients to understand needs and implement technology solutions Working with a range of data sources such as CRM, sales, research and HR data Building Single Customer Views, CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation Building and configuring data ingestion methods from APIs, flat files, streaming, public data sources and survey data Skills, Knowledge and Expertise Must have experience of using Azure or AWS Databricks and Medallion architecture Expert experience with Azure Data Factory or Python/Airflow and associated libraries for data processing and manipulation Experience with a range of database technologies including Azure SQL, SQL Server, Azure Data Lake, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB Understanding of Azure DevOps and CI/CD processes Knowledge of data warehouse or data lakes with SCVs or in conjunction with CDP platforms Knowledge of data ingestion of streaming data using Databricks and PySpark Understanding and application of statistical methods Ability to lead, and to work well as part of, a team using the agile methodology A growth mindset AI curious and ready to embrace opportunities Desirable Skills Palantir Foundry (Pipeline Builder) experience Knowledge of ELT/ETL tools such as Informatica DEI/BDM and Talend beneficial Experience mentoring junior to mid-level Data Engineers beneficial Benefits Holiday entitlement of 28 days with the option to buy/sell up to 5 days (3 days held for Christmas holidays) Day off on or in the week of your birthday Pension eligibility with up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and paternity and shared parental leave Cycle to work schemes Gym and retail discounts Regular social events and activities A range of other benefits from a flexible benefits package Equal Employment Opportunity We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities and those with neurodiverse traits and disabilities. We want you to have the best opportunity to demonstrate your abilities.
InterGame Ltd is seeking a Senior Data Engineer located in Milton Keynes to leverage data analytics for strategic decisions. The role is hybrid, offering remote start with an eventual transition to in-office work. Your responsibilities will include analysing data for insights, developing reports with SQL and Power BI, and optimising marketing activities based on data findings. Ideal candidates will have strong statistical analysis skills and experience with SQL. Attractive salary plus a bonus scheme is included.
30/07/2026
Full time
InterGame Ltd is seeking a Senior Data Engineer located in Milton Keynes to leverage data analytics for strategic decisions. The role is hybrid, offering remote start with an eventual transition to in-office work. Your responsibilities will include analysing data for insights, developing reports with SQL and Power BI, and optimising marketing activities based on data findings. Ideal candidates will have strong statistical analysis skills and experience with SQL. Attractive salary plus a bonus scheme is included.
Data Engineering Delivery & Support Lead IRC Who We Are Join Network Rail - Where People and Connections Matter At Network Rail, we're dedicated to keeping passengers and freight moving safely and efficiently across the country. When you join us, you're not just part of a team - you're part of something that matters to millions. We believe that our people are at the heart of what we do, and every role plays a vital part in building a better, more connected railway. Click here to learn more. We're committed to creating a diverse, inclusive workplace that reflects the communities we serve. To discover more about our ED&I commitments click here. We value flexibility and understand the importance of a healthy work-life balance. As a Disability Confident Leader, we'll do everything we can to accommodate any needs throughout the recruitment process. You can visit Evenbreaks Career Hive for advice on accessibility support. If you're ready to make a real difference, we'd love to hear from you! Some of our great benefits: We offer generous maternity, paternity, and adoption leave to support our employees during significant life moments Flexible/hybrid working arrangements considered Generous annual leave up to 28 days plus statutory days (role dependant), with the option to buy/sell days Discounts at selected stations with your Network Rail pass Defined benefit pension scheme 75% off leisure train tickets for you and your dependents (subject to T&Cs) Interest-free travel loan for train and car park season tickets Volunteer leave to make a positive impact Duration: Permanent Location: The Quadrant, Milton Keynes Band & Salary: Band 2B,£71,163 - £86,801 About the role About the Digital and Data Function: The Digital & Data Function brings together Network Rail's in-house digital and data capabilities into a single, dedicated function. Its purpose is to make it easier for colleagues across the organisation to access trusted digital and data services, helping Network Rail use information more effectively to support safe, efficient and informed decision-making. The function has been created to provide a more consistent and joined-up experience for teams requiring digital products, data platforms, analytics, automation and data provision. By aligning these capabilities in one place, the Digital & Data Function supports clearer accountability, reduced duplication, stronger governance and faster delivery of value to the business. Within the function, the Data Delivery area provides specialist capability in data provision, management, platform support, visualisation, analytics and advanced data services. It helps colleagues find, access, understand and use robust data so they can improve operational performance, identify efficiencies and make better evidence-based decisions. The Data Engineering Delivery & Support Lead plays a key role in enabling this ambition by leading the delivery, operation and continual improvement of Network Rail's data engineering capability. The role ensures that data platforms, pipelines and integration services are secure, reliable, scalable and aligned to business priorities, supporting both current operational needs and future transformation. Develop the data engineering strategic architecture and warehousing strategy for enterprise data, so that core data sources are consistently defined, structured and accessible for self-service. Implement data engineering overall technical and strategic engagement with IT Services, including the active management of interdependencies to facilitate delivery of the data engineering pipeline. Review, constructively challenge and adjust the data engineering service, influencing the wider stakeholder group, so the service aligns with wider Network Rail enterprise data requirements, strategies and changes that may come with the transition to Great British Railways. Prioritise the technical deliverables in the data engineering Service Pipeline, in accordance with the data engineering strategy and stakeholder requirements, so they are delivered in line with the strategy and stakeholder requirements. Define the architectural platforms and technical patterns to be exploited by the data engineering Service, and own the technical architecture including management of changes, to continuously improve the service and deliver best practice data products. Provide technical oversight and own the approval of data engineering related designs and deliverables across Network Rail, to create consistency and alignment across the organisation. Lead, manage and embed agile delivery methodologies, including daily / weekly scrums and retro ceremonies supporting the Head of Data in driving a more efficient, customer-focused culture and service offering. Develop the funding strategy and cost management mechanisms of technical deliverables owned by the data engineering, so that dashboards, data models and capabilities can be progressed across the organisation. Champion security and governance, so that the data engineering team follows Network Rail guidelines while delivering data products, services, and projects, so that the service remains compliant with governance policies. Your experience and skills Meet the essential criteria/ Apply today to join our team! Proven ability to manage, influence and develop relationships with a wide range of key stakeholders at Director level in complex environments Demonstrably strong leadership skills with the ability to lead teams through transformation Proven successful senior management experience in a matrix and/or heavily governed organisation Proven ability to successfully manage a team using delivery methodologies such as Agile (Safe / Scrum) Proven experience of enterprise strategy development and execution Strong track record of architecting high-quality data products and services and ability to demonstrate the difference they have made in transforming an organisation Proven experience of developing product roadmaps to set the future strategic direction of BI technologies Proven experience of managing the delivery of solutions across a hybrid cloud and on-premise landscape Essential demonstrable experience of MuleSoft, including the design, development, delivery and support of API-led integration services across complex enterprise data environments. Strong understanding of Data Engineering and Data Science Skills and platforms including: ETL; SQL; Relational / Graph / NoSQL Databases; Data solutions within Cloud platforms (primarily Azure); Microservice / APIs providing access to and from data sources; Streaming services; MPP and OLAP Databases e.g., Snowflake, Synapse etc; Programming languages and statistical software to access and interpret data, e.g., python, scala, spark Extensive demonstrable experience in Data Visualisation including visualisation tools such as PowerBI, Oracle OBIEE or Essbase Member of a relevant professional body with chartered status (e.g., the Chartered Institute for IT) Experience of enterprise business systems including HR, Procurement and Payroll systems Experience of working within the Rail Industry
30/07/2026
Full time
Data Engineering Delivery & Support Lead IRC Who We Are Join Network Rail - Where People and Connections Matter At Network Rail, we're dedicated to keeping passengers and freight moving safely and efficiently across the country. When you join us, you're not just part of a team - you're part of something that matters to millions. We believe that our people are at the heart of what we do, and every role plays a vital part in building a better, more connected railway. Click here to learn more. We're committed to creating a diverse, inclusive workplace that reflects the communities we serve. To discover more about our ED&I commitments click here. We value flexibility and understand the importance of a healthy work-life balance. As a Disability Confident Leader, we'll do everything we can to accommodate any needs throughout the recruitment process. You can visit Evenbreaks Career Hive for advice on accessibility support. If you're ready to make a real difference, we'd love to hear from you! Some of our great benefits: We offer generous maternity, paternity, and adoption leave to support our employees during significant life moments Flexible/hybrid working arrangements considered Generous annual leave up to 28 days plus statutory days (role dependant), with the option to buy/sell days Discounts at selected stations with your Network Rail pass Defined benefit pension scheme 75% off leisure train tickets for you and your dependents (subject to T&Cs) Interest-free travel loan for train and car park season tickets Volunteer leave to make a positive impact Duration: Permanent Location: The Quadrant, Milton Keynes Band & Salary: Band 2B,£71,163 - £86,801 About the role About the Digital and Data Function: The Digital & Data Function brings together Network Rail's in-house digital and data capabilities into a single, dedicated function. Its purpose is to make it easier for colleagues across the organisation to access trusted digital and data services, helping Network Rail use information more effectively to support safe, efficient and informed decision-making. The function has been created to provide a more consistent and joined-up experience for teams requiring digital products, data platforms, analytics, automation and data provision. By aligning these capabilities in one place, the Digital & Data Function supports clearer accountability, reduced duplication, stronger governance and faster delivery of value to the business. Within the function, the Data Delivery area provides specialist capability in data provision, management, platform support, visualisation, analytics and advanced data services. It helps colleagues find, access, understand and use robust data so they can improve operational performance, identify efficiencies and make better evidence-based decisions. The Data Engineering Delivery & Support Lead plays a key role in enabling this ambition by leading the delivery, operation and continual improvement of Network Rail's data engineering capability. The role ensures that data platforms, pipelines and integration services are secure, reliable, scalable and aligned to business priorities, supporting both current operational needs and future transformation. Develop the data engineering strategic architecture and warehousing strategy for enterprise data, so that core data sources are consistently defined, structured and accessible for self-service. Implement data engineering overall technical and strategic engagement with IT Services, including the active management of interdependencies to facilitate delivery of the data engineering pipeline. Review, constructively challenge and adjust the data engineering service, influencing the wider stakeholder group, so the service aligns with wider Network Rail enterprise data requirements, strategies and changes that may come with the transition to Great British Railways. Prioritise the technical deliverables in the data engineering Service Pipeline, in accordance with the data engineering strategy and stakeholder requirements, so they are delivered in line with the strategy and stakeholder requirements. Define the architectural platforms and technical patterns to be exploited by the data engineering Service, and own the technical architecture including management of changes, to continuously improve the service and deliver best practice data products. Provide technical oversight and own the approval of data engineering related designs and deliverables across Network Rail, to create consistency and alignment across the organisation. Lead, manage and embed agile delivery methodologies, including daily / weekly scrums and retro ceremonies supporting the Head of Data in driving a more efficient, customer-focused culture and service offering. Develop the funding strategy and cost management mechanisms of technical deliverables owned by the data engineering, so that dashboards, data models and capabilities can be progressed across the organisation. Champion security and governance, so that the data engineering team follows Network Rail guidelines while delivering data products, services, and projects, so that the service remains compliant with governance policies. Your experience and skills Meet the essential criteria/ Apply today to join our team! Proven ability to manage, influence and develop relationships with a wide range of key stakeholders at Director level in complex environments Demonstrably strong leadership skills with the ability to lead teams through transformation Proven successful senior management experience in a matrix and/or heavily governed organisation Proven ability to successfully manage a team using delivery methodologies such as Agile (Safe / Scrum) Proven experience of enterprise strategy development and execution Strong track record of architecting high-quality data products and services and ability to demonstrate the difference they have made in transforming an organisation Proven experience of developing product roadmaps to set the future strategic direction of BI technologies Proven experience of managing the delivery of solutions across a hybrid cloud and on-premise landscape Essential demonstrable experience of MuleSoft, including the design, development, delivery and support of API-led integration services across complex enterprise data environments. Strong understanding of Data Engineering and Data Science Skills and platforms including: ETL; SQL; Relational / Graph / NoSQL Databases; Data solutions within Cloud platforms (primarily Azure); Microservice / APIs providing access to and from data sources; Streaming services; MPP and OLAP Databases e.g., Snowflake, Synapse etc; Programming languages and statistical software to access and interpret data, e.g., python, scala, spark Extensive demonstrable experience in Data Visualisation including visualisation tools such as PowerBI, Oracle OBIEE or Essbase Member of a relevant professional body with chartered status (e.g., the Chartered Institute for IT) Experience of enterprise business systems including HR, Procurement and Payroll systems Experience of working within the Rail Industry
Sr. Professional I, Global Telecom page is loaded Sr. Professional I, Global Telecomlocations: GBR Belfast - Maysfieldtime type: Full timeposted on: Posted Todayjob requisition id: RJob Title:Sr. Professional I, Global TelecomJob DescriptionWe are seeking an experienced Senior Manager/ Sr. Professional I, Global Telecom (CL) To lead and manage enterprise contact center and telecom infrastructure across global operations. The ideal candidate will have strong hands-on experience with modern CCaaS platforms, SIP technologies, and enterprise telephony systems, along with proven leadership skills to manage teams and drive transformation initiatives. This role requires expertise in cloud-based contact center platforms, telephony infrastructure, automation, and integration technologies, while ensuring high availability, security, and performance of global telecom services. Job Title: Senior Manager - Global Telecom (Sr. Professional I, Global Telecom) (CL) Location: Europe Time Zone (Candidate should be flexible to work across other time zones when required for global projects and operational tasks) Experience: 12-15 Years Education: Bachelor's degree in Engineering, Information Technology, Telecommunications, or a related field We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, and intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.The Concentrix Technical Products and Services team is the driving force behind Concentrix's transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market-leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we're proud to be recognized with awards such as "World's Best Workplaces," "Best Companies for Career Growth," and "Best Company Culture," year after year.Join us and be part of this journey towards greater opportunities and brighter futures. Job Summary: We are seeking an experienced Senior Manager/Sr. Professional I, Global Telecom to lead and manage enterprise contact center and telecom infrastructure across global operations. The ideal candidate will have strong hands-on experience with modern CCaaS platforms, SIP technologies, and enterprise telephony systems, along with proven leadership skills to manage teams and drive transformation initiatives. Key Responsibilities: Manage and support CCaaS platforms including Microsoft Dynamics 365 Contact Center, Microsoft Copilot Studio, Microsoft Power Automate, and NICE CXone. Lead the design, deployment, and optimization of cloud-based contact center solutions. Manage enterprise telephony environments including Avaya Aura components such as Avaya ACD, Session Manager, System Manager, Voicemail, and CMS. Oversee day-to-day telecom and contact center operations ensuring high system availability and performance. Lead telecom and CCaaS transformation projects including migrations, upgrades, and platform consolidation. Qualifications: Hands-on expertise with CCaaS platforms (Microsoft D365 Contact Center, NICE CXone). Strong knowledge of Avaya telephony systems and ACD environments. Deep understanding of SIP protocols and voice security. Experience leading global telecom teams and managing enterprise platforms. Solid understanding of ITIL framework and service management processes.Location:GBR Belfast - MaysfieldLanguage Requirements:Time Type:Full time2026-05-30# Mission: Hi, we're Concentrix. We're a global technology and services leader that powers the brands of the future. We help well-known brands - the ones you use every day - improve their businesses with technology and integrated solutions, in over 70 countries.# Company Overview: We power the brands of the future. Some call us a global technology and services leader. But we're so much more. Human-centered, tech-powered, intelligence fuelled. Every day we're busy helping over 2000 of the world's best brands solve their toughest business challenges. Whether it's designing game-changing brand experiences, building and scaling secure AI technologies, or building loyalty to drive revenue. We design, build, and run fully integrated, end-to-end solutions across the entire enterprise, at speed and scale. We're the strategic thinkers who designbrand-defining experiences. The technologists & engineers who buildsmarter solutions. And the operational experts who run it all and make it work seamlessly. By integrating strategy & design with data & analytics, enterprise technology, and digital operations. You could say, at the heart of everything we do lies a commitment to transform the way companies connect, interact, and grow across the world and into the future. Experience the power of Concentrix.Concentrix CVG Corporation is an EEO/AA/M/F/Vet/Disability Employer.
30/07/2026
Full time
Sr. Professional I, Global Telecom page is loaded Sr. Professional I, Global Telecomlocations: GBR Belfast - Maysfieldtime type: Full timeposted on: Posted Todayjob requisition id: RJob Title:Sr. Professional I, Global TelecomJob DescriptionWe are seeking an experienced Senior Manager/ Sr. Professional I, Global Telecom (CL) To lead and manage enterprise contact center and telecom infrastructure across global operations. The ideal candidate will have strong hands-on experience with modern CCaaS platforms, SIP technologies, and enterprise telephony systems, along with proven leadership skills to manage teams and drive transformation initiatives. This role requires expertise in cloud-based contact center platforms, telephony infrastructure, automation, and integration technologies, while ensuring high availability, security, and performance of global telecom services. Job Title: Senior Manager - Global Telecom (Sr. Professional I, Global Telecom) (CL) Location: Europe Time Zone (Candidate should be flexible to work across other time zones when required for global projects and operational tasks) Experience: 12-15 Years Education: Bachelor's degree in Engineering, Information Technology, Telecommunications, or a related field We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, and intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.The Concentrix Technical Products and Services team is the driving force behind Concentrix's transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market-leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we're proud to be recognized with awards such as "World's Best Workplaces," "Best Companies for Career Growth," and "Best Company Culture," year after year.Join us and be part of this journey towards greater opportunities and brighter futures. Job Summary: We are seeking an experienced Senior Manager/Sr. Professional I, Global Telecom to lead and manage enterprise contact center and telecom infrastructure across global operations. The ideal candidate will have strong hands-on experience with modern CCaaS platforms, SIP technologies, and enterprise telephony systems, along with proven leadership skills to manage teams and drive transformation initiatives. Key Responsibilities: Manage and support CCaaS platforms including Microsoft Dynamics 365 Contact Center, Microsoft Copilot Studio, Microsoft Power Automate, and NICE CXone. Lead the design, deployment, and optimization of cloud-based contact center solutions. Manage enterprise telephony environments including Avaya Aura components such as Avaya ACD, Session Manager, System Manager, Voicemail, and CMS. Oversee day-to-day telecom and contact center operations ensuring high system availability and performance. Lead telecom and CCaaS transformation projects including migrations, upgrades, and platform consolidation. Qualifications: Hands-on expertise with CCaaS platforms (Microsoft D365 Contact Center, NICE CXone). Strong knowledge of Avaya telephony systems and ACD environments. Deep understanding of SIP protocols and voice security. Experience leading global telecom teams and managing enterprise platforms. Solid understanding of ITIL framework and service management processes.Location:GBR Belfast - MaysfieldLanguage Requirements:Time Type:Full time2026-05-30# Mission: Hi, we're Concentrix. We're a global technology and services leader that powers the brands of the future. We help well-known brands - the ones you use every day - improve their businesses with technology and integrated solutions, in over 70 countries.# Company Overview: We power the brands of the future. Some call us a global technology and services leader. But we're so much more. Human-centered, tech-powered, intelligence fuelled. Every day we're busy helping over 2000 of the world's best brands solve their toughest business challenges. Whether it's designing game-changing brand experiences, building and scaling secure AI technologies, or building loyalty to drive revenue. We design, build, and run fully integrated, end-to-end solutions across the entire enterprise, at speed and scale. We're the strategic thinkers who designbrand-defining experiences. The technologists & engineers who buildsmarter solutions. And the operational experts who run it all and make it work seamlessly. By integrating strategy & design with data & analytics, enterprise technology, and digital operations. You could say, at the heart of everything we do lies a commitment to transform the way companies connect, interact, and grow across the world and into the future. Experience the power of Concentrix.Concentrix CVG Corporation is an EEO/AA/M/F/Vet/Disability Employer.
Responsibilities Own planning, prioritisation, and sequencing across the Data & AI team. Apply a deep understanding of data work, skills, and technical dependencies to shape realistic delivery plans and roadmaps. Support senior decision-making by clearly articulating options, trade-offs, and delivery implications. Stay close to delivery to identify risks, dependencies, and opportunities early. Challenge and support teams on scope, sequencing, and approaches to solving delivery problems. Use delivery insight to improve focus, flow, and outcomes across teams. Define and use delivery metrics to track progress, predictability, and outcomes across the portfolio. Ensure appropriate governance, transparency, and documentation of delivery decisions to meet audit and compliance expectations. Act as a trusted delivery partner to Data & AI leaders and business stakeholders. Requirements Proven experience in delivery planning or coordination in a data-led environment. Strong understanding of data disciplines such as data science, ML, advanced analytics, and analytics engineering. Ability to understand and map technical dependencies across complex teams. Comfortable contributing to delivery discussions at both the detail and portfolio level. Skilled in working with cross-functional teams to shape, plan, and track delivery. Clear communicator, able to bring structure to complexity and support decision-making. Familiarity with agile practices, lean planning, or flow-based delivery. Experience improving planning practices or delivery coordination across multiple teams. Knowledge of delivery governance, performance metrics, or planning tools.
30/07/2026
Full time
Responsibilities Own planning, prioritisation, and sequencing across the Data & AI team. Apply a deep understanding of data work, skills, and technical dependencies to shape realistic delivery plans and roadmaps. Support senior decision-making by clearly articulating options, trade-offs, and delivery implications. Stay close to delivery to identify risks, dependencies, and opportunities early. Challenge and support teams on scope, sequencing, and approaches to solving delivery problems. Use delivery insight to improve focus, flow, and outcomes across teams. Define and use delivery metrics to track progress, predictability, and outcomes across the portfolio. Ensure appropriate governance, transparency, and documentation of delivery decisions to meet audit and compliance expectations. Act as a trusted delivery partner to Data & AI leaders and business stakeholders. Requirements Proven experience in delivery planning or coordination in a data-led environment. Strong understanding of data disciplines such as data science, ML, advanced analytics, and analytics engineering. Ability to understand and map technical dependencies across complex teams. Comfortable contributing to delivery discussions at both the detail and portfolio level. Skilled in working with cross-functional teams to shape, plan, and track delivery. Clear communicator, able to bring structure to complexity and support decision-making. Familiarity with agile practices, lean planning, or flow-based delivery. Experience improving planning practices or delivery coordination across multiple teams. Knowledge of delivery governance, performance metrics, or planning tools.
London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice are looking for experienced Consultants to join the team! The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore's Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at
30/07/2026
Full time
London, United Kingdom Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice are looking for experienced Consultants to join the team! The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands on delivery leadership - and who has a genuine passion for bringing AI solutions to production at scale. Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that. AI/ML Specialism You will bring expert level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit learn, PyTorch, XGBoost) and cloud native ML services (SageMaker, Azure ML, Vertex AI). Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event driven architectures and CI/CD. Track record of delivering production Python services and APIs; working knowledge of cloud native application patterns and release practices. Software Engineering Production grade Python services (FastAPI, AWS Lambda, event driven patterns) and front end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade offs - relational, NoSQL, graph and caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud, data and AI domains. Clear, confident communicator - able to make the complex accessible for technical and non technical audiences alike, and to represent Baringa's expertise with credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector. If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people first culture that values both technical rigour and human connection we would love to hear from you. All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further. For UK & EU Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal limitations) of your personal data. For more information, please contact us at For the USA Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and state laws, you may have the right to request access to or correction of your personal information. For further details, please contact Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER & APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and Singapore's Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your personal data. For more information, please contact us at
Cambridge University Hospitals
Cambridge, Cambridgeshire
Main area Division Corporate - Innovation Grade Band 8a Contract Permanent Hours Full time Part time Flexible working 37.5 hours per week (Full Time or Part Time / Flexible working hours may be considered) Job ref 180-F-CVA1042 Employer Cambridge University Hospitals NHS Foundation Trust Employer type NHS Site Addenbrookes Hospital-Division Corporate Town Cambridge Salary £57,528 - £64,750 p.a. pro rata Salary period Yearly Closing 10/08/:59 Interview date 20/08/2026 Job overview Join CUH during at a unique moment in healthcare, healthtech and the digital transformation of our services, as we embrace artificial intelligence to improve the care we provide. Our Innovation team is nascent but has grand aspirations. We work within a unique ecosystem on the Cambridge Biomedical Campus, part of the largest centre for life science and medical research in Europe. Addenbrooke's is one of the largest single-site hospitals in the country with a mature Epic EHR and plans afoot for new children's, cancer research and acute hospitals. Our academic partner, Cambridge University, has a global reputation in healthtech, AI, engineering, manufacturing and life sciences. And our neighbours on campus include the recently rebuilt Royal Papworth Hospital and Astrazeneca's global R&D facility, the Discovery Centre. We are collectively brought together through Cambridge University Healthcare Partners, which has been a driving force for the innovation and life sciences agenda nationally. AI in the NHS too often stalls at proof of concept. At CUH, we are building the infrastructure for AI at scale - from first deployment through to long-term operational ownership. Surrounded by some of the world's leading AI researchers, clinicians and life sciences companies, we are uniquely positioned to move from innovation to implementation faster than anywhere else in the NHS, embedding AI into the workflows that matter, safely and at pace. Main duties of the job As Senior AI Implementation Manager, you will lead the safe, effective and scalable implementation and operational oversight of multiple AI tools concurrently deployed across the Trust. You will provide senior, hands on technical project leadership from readiness and testing through go-live, stabilisation and handover to BAU, ensuring AI driven services are embedded into clinical and operational workflows and deliver measurable benefits. Once live, you will run routine monitoring using dashboards and operational data to identify issues early, elevate risk appropriately, and drive continuous improvement-translating AI performance metrics into clear operational actions and maintaining confidence among clinical, digital and operational stakeholders. Working for our organisation Our Trust Cambridge University Hospitals (CUH) NHS Foundation Trust comprises Addenbrooke's Hospital and the Rosie Hospital in Cambridge. With over 13,000 staff and over 1100 beds the priorities of the Trust focus on a quality service which is all about people - patients, staff and partners. Recognised as providing 'outstanding' care to our patients and rated 'Good' overall by the Care Quality Commissioner, is testament to the skill and dedication of the people who work here. CUH's values - Together - Safe, Kind, Excellent - are at the heart of patient care, defining the way all staff work and behave. The Trust provides accessible high-quality healthcare for the local people of Cambridge, together with specialist services, dealing with rare or complex conditions for a regional, national and international population. CUH is committed to promoting a diverse and inclusive community - a place where we can all be ourselves. We value our differences and fully advocate and support an inclusive working environment where every individual can fulfil their potential. We want to ensure our people are truly representative of all the communities that we serve. We welcome applications for all positions in the organisation irrespective of people's age, disability, ethnicity, race, nationality, gender identity, sex, sexual orientation, religion or belief, marriage and civil partnership status, or pregnancy and maternity status or social economic background. Detailed job description and main responsibilities Please see the attached Applicant Information Pack (combined Job Description and Person Specification) for key duties and responsibilities. Due to Home Office immigration rules, a full time permanent vacancy cannot be filled by individuals on a Student visa. Therefore, please be advised that if you are a Student visa holder, we will not be able to offer you a full time permanent contract unless you have: - applied for a Graduate visa - or you will have successfully completed your course and have applied for a Graduate visa before the anticipated start date of your employment This vacancy will close at midnight on 10th August 2026. Interviews are due to be held on 20th August 2026. Benefits to you At Cambridge University Hospitals, we want to do all we can to support good working days. We offer development opportunities and a wide range of benefits, including on site leisure facilities, shopping concourse and day nurseries. Our good work programme currently includes providing reduced cost Stagecoach bus travel to and from Cambridge University Hospital site. Park and Ride bus journeys between Babraham Road and Trumpington sites are free, as is the route to and from Cambridge train station and our hospitals. We also subsidise the cost of parking on site for eligible staff. On CUH campus, hot food is available 24/7 and at a reduced cost for colleagues. Recently we launched the first of our staff pod break spaces. Located in the Deakin Centre, we have a purpose created colleague only café, with free tea and coffee, a break space and private outside area for colleagues to rest, refuel and recharge. Just one of the ways we are working hard to support good working days at CUH. CUH is committed to assisting employees in achieving a good work life balance irrespective of role or personal circumstances. Flexible arrangements may include, but are not limited to, part time working, job share, term time working and flexible start and finish times. Please note if you would like to discuss the required hours of this role further, you should approach the contact given. In some cases, alternative working hours will be considered. We welcome applications from the Armed Forces. Person specification Qualifications Post-gradudate degree in a relevant discipline (e.g., health informatics, data/analytics, computer science, engineering, healthcare service improvement or similar) OR equivalent senior level experience delivering complex digital implementations. Evidence of ongoing CPD relevant to digital delivery, analytics, service improvement, healthcare technology Training in AI systems evaluation, real world evidence methods, clinical informatics or benefits realisation Experience Demonstrable experience leading large scale, complex digital or AI projects or programmes with Trust wide impact, ideally in healthcare or a similarly complex environment Significant experience delivering digital/technology implementations end to end: requirements through testing/UAT, go live/hypercare, stabilisation and BAU handover Experience contributing to national digital/AI initiatives (e.g., NHS programmes, AHSN or similar) and/or participation in recognised leadership development programmes. Experience in software implementation and post market surveillance activities, including vigilance reporting. Experience of implementing AI enabled tools in a clinical or operational setting Experience with SLA/OLA concepts, service transition and operational support models Knowledge In depth knowledge of NHS digital strategy, AI governance and relevant regulatory frameworks (including information governance, clinical safety and cyber basics) sufficient to coordinate specialist functions Understanding of AI tool performance at an operational level - including concepts such as false positives/negatives, model drift, monitoring thresholds and data quality indicators Knowledge of service wide policy development and implementation in a complex healthcare environment Knowledge of the UK regulatory landscape for AI in healthcare, including MHRA regulations as they apply to software as a medical device (SaMD) Understanding of responsible AI principles - transparency, explainability, bias and equity considerations - and how these apply in a clinical deployment context Sufficient understanding of clinical workflows and operational pressures in an acute NHS setting to credibly engage clinicians and identify implementation risks Knowledge of benefits realisation methodology and how to design and track measurable outcomes from AI deployments Understanding of health economics principles sufficient to articulate a value case for AI tools Familiarity with NHS evaluation frameworks (e.g. NHS England Evaluation Framework, logic models, real world evidence approaches) Understanding of interoperability standards and health data infrastructure sufficient to engage technical teams Familiarity with DTAC or equivalent assurance frameworks Skills Strong practical programme and project management skills: planning, milestones and dependencies, RAID, action tracking, decision logging, RAG reporting, change control, go live readiness and BAU transition Ability to interpret dashboards and operational metrics, form hypotheses . click apply for full job details
30/07/2026
Full time
Main area Division Corporate - Innovation Grade Band 8a Contract Permanent Hours Full time Part time Flexible working 37.5 hours per week (Full Time or Part Time / Flexible working hours may be considered) Job ref 180-F-CVA1042 Employer Cambridge University Hospitals NHS Foundation Trust Employer type NHS Site Addenbrookes Hospital-Division Corporate Town Cambridge Salary £57,528 - £64,750 p.a. pro rata Salary period Yearly Closing 10/08/:59 Interview date 20/08/2026 Job overview Join CUH during at a unique moment in healthcare, healthtech and the digital transformation of our services, as we embrace artificial intelligence to improve the care we provide. Our Innovation team is nascent but has grand aspirations. We work within a unique ecosystem on the Cambridge Biomedical Campus, part of the largest centre for life science and medical research in Europe. Addenbrooke's is one of the largest single-site hospitals in the country with a mature Epic EHR and plans afoot for new children's, cancer research and acute hospitals. Our academic partner, Cambridge University, has a global reputation in healthtech, AI, engineering, manufacturing and life sciences. And our neighbours on campus include the recently rebuilt Royal Papworth Hospital and Astrazeneca's global R&D facility, the Discovery Centre. We are collectively brought together through Cambridge University Healthcare Partners, which has been a driving force for the innovation and life sciences agenda nationally. AI in the NHS too often stalls at proof of concept. At CUH, we are building the infrastructure for AI at scale - from first deployment through to long-term operational ownership. Surrounded by some of the world's leading AI researchers, clinicians and life sciences companies, we are uniquely positioned to move from innovation to implementation faster than anywhere else in the NHS, embedding AI into the workflows that matter, safely and at pace. Main duties of the job As Senior AI Implementation Manager, you will lead the safe, effective and scalable implementation and operational oversight of multiple AI tools concurrently deployed across the Trust. You will provide senior, hands on technical project leadership from readiness and testing through go-live, stabilisation and handover to BAU, ensuring AI driven services are embedded into clinical and operational workflows and deliver measurable benefits. Once live, you will run routine monitoring using dashboards and operational data to identify issues early, elevate risk appropriately, and drive continuous improvement-translating AI performance metrics into clear operational actions and maintaining confidence among clinical, digital and operational stakeholders. Working for our organisation Our Trust Cambridge University Hospitals (CUH) NHS Foundation Trust comprises Addenbrooke's Hospital and the Rosie Hospital in Cambridge. With over 13,000 staff and over 1100 beds the priorities of the Trust focus on a quality service which is all about people - patients, staff and partners. Recognised as providing 'outstanding' care to our patients and rated 'Good' overall by the Care Quality Commissioner, is testament to the skill and dedication of the people who work here. CUH's values - Together - Safe, Kind, Excellent - are at the heart of patient care, defining the way all staff work and behave. The Trust provides accessible high-quality healthcare for the local people of Cambridge, together with specialist services, dealing with rare or complex conditions for a regional, national and international population. CUH is committed to promoting a diverse and inclusive community - a place where we can all be ourselves. We value our differences and fully advocate and support an inclusive working environment where every individual can fulfil their potential. We want to ensure our people are truly representative of all the communities that we serve. We welcome applications for all positions in the organisation irrespective of people's age, disability, ethnicity, race, nationality, gender identity, sex, sexual orientation, religion or belief, marriage and civil partnership status, or pregnancy and maternity status or social economic background. Detailed job description and main responsibilities Please see the attached Applicant Information Pack (combined Job Description and Person Specification) for key duties and responsibilities. Due to Home Office immigration rules, a full time permanent vacancy cannot be filled by individuals on a Student visa. Therefore, please be advised that if you are a Student visa holder, we will not be able to offer you a full time permanent contract unless you have: - applied for a Graduate visa - or you will have successfully completed your course and have applied for a Graduate visa before the anticipated start date of your employment This vacancy will close at midnight on 10th August 2026. Interviews are due to be held on 20th August 2026. Benefits to you At Cambridge University Hospitals, we want to do all we can to support good working days. We offer development opportunities and a wide range of benefits, including on site leisure facilities, shopping concourse and day nurseries. Our good work programme currently includes providing reduced cost Stagecoach bus travel to and from Cambridge University Hospital site. Park and Ride bus journeys between Babraham Road and Trumpington sites are free, as is the route to and from Cambridge train station and our hospitals. We also subsidise the cost of parking on site for eligible staff. On CUH campus, hot food is available 24/7 and at a reduced cost for colleagues. Recently we launched the first of our staff pod break spaces. Located in the Deakin Centre, we have a purpose created colleague only café, with free tea and coffee, a break space and private outside area for colleagues to rest, refuel and recharge. Just one of the ways we are working hard to support good working days at CUH. CUH is committed to assisting employees in achieving a good work life balance irrespective of role or personal circumstances. Flexible arrangements may include, but are not limited to, part time working, job share, term time working and flexible start and finish times. Please note if you would like to discuss the required hours of this role further, you should approach the contact given. In some cases, alternative working hours will be considered. We welcome applications from the Armed Forces. Person specification Qualifications Post-gradudate degree in a relevant discipline (e.g., health informatics, data/analytics, computer science, engineering, healthcare service improvement or similar) OR equivalent senior level experience delivering complex digital implementations. Evidence of ongoing CPD relevant to digital delivery, analytics, service improvement, healthcare technology Training in AI systems evaluation, real world evidence methods, clinical informatics or benefits realisation Experience Demonstrable experience leading large scale, complex digital or AI projects or programmes with Trust wide impact, ideally in healthcare or a similarly complex environment Significant experience delivering digital/technology implementations end to end: requirements through testing/UAT, go live/hypercare, stabilisation and BAU handover Experience contributing to national digital/AI initiatives (e.g., NHS programmes, AHSN or similar) and/or participation in recognised leadership development programmes. Experience in software implementation and post market surveillance activities, including vigilance reporting. Experience of implementing AI enabled tools in a clinical or operational setting Experience with SLA/OLA concepts, service transition and operational support models Knowledge In depth knowledge of NHS digital strategy, AI governance and relevant regulatory frameworks (including information governance, clinical safety and cyber basics) sufficient to coordinate specialist functions Understanding of AI tool performance at an operational level - including concepts such as false positives/negatives, model drift, monitoring thresholds and data quality indicators Knowledge of service wide policy development and implementation in a complex healthcare environment Knowledge of the UK regulatory landscape for AI in healthcare, including MHRA regulations as they apply to software as a medical device (SaMD) Understanding of responsible AI principles - transparency, explainability, bias and equity considerations - and how these apply in a clinical deployment context Sufficient understanding of clinical workflows and operational pressures in an acute NHS setting to credibly engage clinicians and identify implementation risks Knowledge of benefits realisation methodology and how to design and track measurable outcomes from AI deployments Understanding of health economics principles sufficient to articulate a value case for AI tools Familiarity with NHS evaluation frameworks (e.g. NHS England Evaluation Framework, logic models, real world evidence approaches) Understanding of interoperability standards and health data infrastructure sufficient to engage technical teams Familiarity with DTAC or equivalent assurance frameworks Skills Strong practical programme and project management skills: planning, milestones and dependencies, RAID, action tracking, decision logging, RAG reporting, change control, go live readiness and BAU transition Ability to interpret dashboards and operational metrics, form hypotheses . click apply for full job details
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Job Details This role is in support of Cencora's third party logistics service in Europe operating through our Alloga business. We are looking for a dynamic, forward-thinking Senior Analyst to join our 3PL business and act as a catalyst for change. This is not a traditional BA role - you will be at the intersection of logistics operations, technology, and AI-driven innovation, focusing on Client integration, Portal development, BI/Analytics. You will identify opportunities to leverage artificial intelligence, robotic process automation (RPA), predictive analytics, and other digital accelerants to transform how we deliver 3PL services to our clients. You will translate complex business needs into actionable solutions, support delivery of the business case, and drive measurable outcomes across the operation. Responsibilities Elicit, document, and validate business requirements using a range of techniques and AI capabilities. Translate requirements into user stories, functional specifications, and data models suitable for Agile delivery teams. Perform gap analysis and root cause analysis to identify inefficiencies and recommend improvements. Define KPIs, success metrics, and benefits realisation frameworks for all initiatives. Act as the primary liaison for Commercial Business process owners and Commercial stakeholders for transformation initiatives. Present findings, business cases, and solution options to senior leadership with clarity and confidence. Support change management activities - training, communications, and adoption tracking, to ensure sustainable implementation. Facilitate cross-functional workshops, sprint reviews, and steering committee meetings. Build and maintain dashboards and reports (Power BI, Tableau) that provide actionable insights to operations and leadership. Collaborate with data engineering teams to define data requirements for AI/ML model development. Champion a data-driven culture across the 3PL business. Identify, evaluate, and champion AI/ML and automation opportunities across the programme of work. Partner with internal teams to define requirements, design AI-augmented workflows, and oversee proof-of-concept (PoC) delivery. Stay current with emerging technologies (LLMs, generative AI, computer vision, digital twins, process mining) and assess their applicability to the programmes of work. Drive adoption of low-code/no-code platforms (e.g., Power Apps, Power Automate) to empower operational teams with self-service tooling. Develop and maintain a pipeline of digital innovation initiatives, including from vendors and other third-party suppliers, prioritised by business impact and feasibility. Key Qualifications and Attributes Extensive experience being part of a team developing and implementing innovative technology and operating models across Client integration, Data visibility / Analytics tools including external facing portals. Technology experience with Microsoft Dynamics 365 Suite. Experience with Portal technology solutions. Experience developing and deploying B2B and B2C client integration middleware. Operational experience within a logistics environment, preferably 3PL environment. Experience within a regulated environment, preferably pharmaceutical sector. Demonstrable experience identifying and implementing AI, automation, or digital transformation initiatives in an operational environment. Familiarity with Agile/Scrum delivery methodologies and tools (JIRA, Azure DevOps, Confluence). Bachelor's degree in Business, Supply Chain, Information Systems, Data Science, or a related discipline (or equivalent). Strategic Thinking & Innovation - Sees the bigger picture and connects emerging technology to business value. Analytical Rigour - Data-driven, detail-oriented, and methodical in problem-solving. Communication & Influence - Articulates ideas clearly, builds consensus, and drives action. Adaptability & Resilience - Thrives in ambiguity, embraces change, and iterates rapidly. Collaboration - Works effectively across functions, levels, and geographies. Results Orientation - Focused on delivering measurable business outcomes. What We Offer This is a pivotal role in one of the world's leading pharmaceutical solutions organisations. You will have the opportunity to shape the future of 3PL through transformation and digital innovation. We have a collaborative, inclusive culture that values curiosity, ownership, and impact. We offer a competitive compensation package, benefits, and career development opportunities. The role also offers Hybrid/flexible working arrangements. Employment Details Full time. Affiliated Companies: Alliance Healthcare Management Services Limited. Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call or email . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned. Cencora is a leading global pharmaceutical solutions company that is committed to improving the lives of people and animals everywhere. We connect manufacturers, providers, and patients to ensure that anyone can get the therapies they need, where and when they need them. We're a purpose-driven organization, where all of our team members around the world are united in our responsibility to create healthier futures. We work together every day to help our partners bring their innovations to patients worldwide, creating unparalleled access and impact at the center of health.
30/07/2026
Full time
Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Job Details This role is in support of Cencora's third party logistics service in Europe operating through our Alloga business. We are looking for a dynamic, forward-thinking Senior Analyst to join our 3PL business and act as a catalyst for change. This is not a traditional BA role - you will be at the intersection of logistics operations, technology, and AI-driven innovation, focusing on Client integration, Portal development, BI/Analytics. You will identify opportunities to leverage artificial intelligence, robotic process automation (RPA), predictive analytics, and other digital accelerants to transform how we deliver 3PL services to our clients. You will translate complex business needs into actionable solutions, support delivery of the business case, and drive measurable outcomes across the operation. Responsibilities Elicit, document, and validate business requirements using a range of techniques and AI capabilities. Translate requirements into user stories, functional specifications, and data models suitable for Agile delivery teams. Perform gap analysis and root cause analysis to identify inefficiencies and recommend improvements. Define KPIs, success metrics, and benefits realisation frameworks for all initiatives. Act as the primary liaison for Commercial Business process owners and Commercial stakeholders for transformation initiatives. Present findings, business cases, and solution options to senior leadership with clarity and confidence. Support change management activities - training, communications, and adoption tracking, to ensure sustainable implementation. Facilitate cross-functional workshops, sprint reviews, and steering committee meetings. Build and maintain dashboards and reports (Power BI, Tableau) that provide actionable insights to operations and leadership. Collaborate with data engineering teams to define data requirements for AI/ML model development. Champion a data-driven culture across the 3PL business. Identify, evaluate, and champion AI/ML and automation opportunities across the programme of work. Partner with internal teams to define requirements, design AI-augmented workflows, and oversee proof-of-concept (PoC) delivery. Stay current with emerging technologies (LLMs, generative AI, computer vision, digital twins, process mining) and assess their applicability to the programmes of work. Drive adoption of low-code/no-code platforms (e.g., Power Apps, Power Automate) to empower operational teams with self-service tooling. Develop and maintain a pipeline of digital innovation initiatives, including from vendors and other third-party suppliers, prioritised by business impact and feasibility. Key Qualifications and Attributes Extensive experience being part of a team developing and implementing innovative technology and operating models across Client integration, Data visibility / Analytics tools including external facing portals. Technology experience with Microsoft Dynamics 365 Suite. Experience with Portal technology solutions. Experience developing and deploying B2B and B2C client integration middleware. Operational experience within a logistics environment, preferably 3PL environment. Experience within a regulated environment, preferably pharmaceutical sector. Demonstrable experience identifying and implementing AI, automation, or digital transformation initiatives in an operational environment. Familiarity with Agile/Scrum delivery methodologies and tools (JIRA, Azure DevOps, Confluence). Bachelor's degree in Business, Supply Chain, Information Systems, Data Science, or a related discipline (or equivalent). Strategic Thinking & Innovation - Sees the bigger picture and connects emerging technology to business value. Analytical Rigour - Data-driven, detail-oriented, and methodical in problem-solving. Communication & Influence - Articulates ideas clearly, builds consensus, and drives action. Adaptability & Resilience - Thrives in ambiguity, embraces change, and iterates rapidly. Collaboration - Works effectively across functions, levels, and geographies. Results Orientation - Focused on delivering measurable business outcomes. What We Offer This is a pivotal role in one of the world's leading pharmaceutical solutions organisations. You will have the opportunity to shape the future of 3PL through transformation and digital innovation. We have a collaborative, inclusive culture that values curiosity, ownership, and impact. We offer a competitive compensation package, benefits, and career development opportunities. The role also offers Hybrid/flexible working arrangements. Employment Details Full time. Affiliated Companies: Alliance Healthcare Management Services Limited. Equal Employment Opportunity Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law. The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory. Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call or email . We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned. Cencora is a leading global pharmaceutical solutions company that is committed to improving the lives of people and animals everywhere. We connect manufacturers, providers, and patients to ensure that anyone can get the therapies they need, where and when they need them. We're a purpose-driven organization, where all of our team members around the world are united in our responsibility to create healthier futures. We work together every day to help our partners bring their innovations to patients worldwide, creating unparalleled access and impact at the center of health.
Lenkie is a fast-growing UK SME lender on a mission to give small businesses access to fair, fast, and flexible finance. We're at an exciting inflection point - scaling our lending book and building the data infrastructure that will power our credit decisions for years to come. This is a rare opportunity to be the foundational data science hire and have a genuine hand in shaping how we think about credit risk, model development, and data-driven decisioning in risk as well as other parts of the business. About the job We're looking for a (Senior) Data Scientist with deep credit risk experience to join us as one of our earliest data hires. You'll work closely with the Head of Credit, Credit Risk Manager and CTO to build our modelling capability from the ground up - from scorecard development and underwriting automation to portfolio analytics and early warning systems as well as Customer Lifetime Values. This isn't a role where you'll plug into an existing machine. You'll be defining how we do things, building the infrastructure, and helping recruit the team around you as we grow. Key Responsibilities Build credit risk models - application scorecards, behavioural models, propensity models - across our SME lending products Create portfolio monitoring dashboards, MI packs, and early warning indicators for the credit and leadership teams Work with Open Banking, bureau, and alternative data sources to enrich our credit assessment Define data science best practices, tooling, and ways of working as the function grows Partner closely with Product, Engineering, and Credit to translate business problems into data solutions Support the Head of Credit and Credit Risk Manager on strategic projects - limit setting, pricing, risk appetite calibration Use your data science expertise for projects outside of credit risk, e.g. Customer Lifetime Value modeling. Qualifications/Required Skills 2-5 years of experience in data science or quantitative analysis, with a strong focus on credit risk in a fintech or lending environment Hands-on experience building credit scorecards or risk models (application, behavioural, or collections) Proficiency in Python and SQL; experience with ML frameworks (scikit-learn, XGBoost, etc.) Familiarity with Open Banking data, bureau data (Experian, Equifax, TransUnion), or alternative data sources Comfort working in small, fast-moving teams where you have to be both strategic and hands-on Experience with SME lending is a strong plus (vs. consumer) Strong communicator - able to explain model outputs and data insights to non-technical stakeholders How we reward performance Be a founding member of the data team with real ownership and influence Competitive salary + meaningful equity Hybrid working from our London office A mission you can get behind - helping small businesses access the finance they deserve We're building a diverse, inclusive and supportive team where everyone can do their best work. We welcome applications from people of all backgrounds, experiences and perspectives, and we do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. If you require any reasonable adjustments during the recruitment process, please let us know.
30/07/2026
Full time
Lenkie is a fast-growing UK SME lender on a mission to give small businesses access to fair, fast, and flexible finance. We're at an exciting inflection point - scaling our lending book and building the data infrastructure that will power our credit decisions for years to come. This is a rare opportunity to be the foundational data science hire and have a genuine hand in shaping how we think about credit risk, model development, and data-driven decisioning in risk as well as other parts of the business. About the job We're looking for a (Senior) Data Scientist with deep credit risk experience to join us as one of our earliest data hires. You'll work closely with the Head of Credit, Credit Risk Manager and CTO to build our modelling capability from the ground up - from scorecard development and underwriting automation to portfolio analytics and early warning systems as well as Customer Lifetime Values. This isn't a role where you'll plug into an existing machine. You'll be defining how we do things, building the infrastructure, and helping recruit the team around you as we grow. Key Responsibilities Build credit risk models - application scorecards, behavioural models, propensity models - across our SME lending products Create portfolio monitoring dashboards, MI packs, and early warning indicators for the credit and leadership teams Work with Open Banking, bureau, and alternative data sources to enrich our credit assessment Define data science best practices, tooling, and ways of working as the function grows Partner closely with Product, Engineering, and Credit to translate business problems into data solutions Support the Head of Credit and Credit Risk Manager on strategic projects - limit setting, pricing, risk appetite calibration Use your data science expertise for projects outside of credit risk, e.g. Customer Lifetime Value modeling. Qualifications/Required Skills 2-5 years of experience in data science or quantitative analysis, with a strong focus on credit risk in a fintech or lending environment Hands-on experience building credit scorecards or risk models (application, behavioural, or collections) Proficiency in Python and SQL; experience with ML frameworks (scikit-learn, XGBoost, etc.) Familiarity with Open Banking data, bureau data (Experian, Equifax, TransUnion), or alternative data sources Comfort working in small, fast-moving teams where you have to be both strategic and hands-on Experience with SME lending is a strong plus (vs. consumer) Strong communicator - able to explain model outputs and data insights to non-technical stakeholders How we reward performance Be a founding member of the data team with real ownership and influence Competitive salary + meaningful equity Hybrid working from our London office A mission you can get behind - helping small businesses access the finance they deserve We're building a diverse, inclusive and supportive team where everyone can do their best work. We welcome applications from people of all backgrounds, experiences and perspectives, and we do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. If you require any reasonable adjustments during the recruitment process, please let us know.
Senior Data Analyst About Traffic Label Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets. What we're building We're building a Customer Data Platform: one unified player profile across our group of brands. The platform should help the business: Improve acquisition. Understand who actually converts, and why others don' Increase conversion. Replace generic flows with journeys built for the specific player in front of us. Segment players properly. Who's a high-value player? Who's at risk of leaving? Who's a VIP? Reactivate before churn. Spot players who are about to leave and bring them back with offers that match what they actually want. Snowflake (with Snowpipe and Cortex Analyst LLM agent). dbt, Python. Airflow (Astronomer), AWS (S3, Lambda), Terraform, GitHub Actions. Omni BI on top. Reverse ETL into marketing platforms. We're early in the build, and the person we hire helps shape the foundation. Role Overview You sit between the business (Product Owner, stakeholders) and the engineering team. About 30% of your time is practical data work: validating that CDP capabilities behave as specified, exploring data before specs are written, testing hypotheses for new capabilities, building shared gold layer models that consumer teams use, and helping those teams understand what data is available. It is not business reporting or analytics built for individual brands. The other 70% is Systems Analysis: turning what you find into specs engineers can build from, owning data quality from symptom to root cause, raising what isn't right before it ships, and shaping the semantic layer so other business lines can find and trust the data. Four things define the systems analysis side: Turn business intent into specs that engineers can build from. Talk to stakeholders, figure out what they actually need, and write it down. Each spec covers source schema, target model, transformation logic, business glossary, schedule, data quality checks, consumer, and use case. Stay reachable through development. Engineers will have questions. Find and fix data quality problems at the root, alongside the engineering function. Trace lineage, identify the cause, work with the data source owner on the fix, check downstream impact, and close the loop. Confirm what's delivered does what we said it would. Validate against the spec you wrote. When the data isn't right, you raise it before it ships. Make data usable beyond the team that asked for it. Contribute to the semantic layer, data descriptions, and shared definitions so other business lines can find what they need, understand what it means, and trust it without going through you each time. You work on the Data Platform layer: CDP build, identity resolution, data quality, semantic definitions, and governance. Business analytics on top of the platform, such as dashboards and performance reports for specific brands, is produced by analyst teams aligned to those brands. Your job is to make sure those teams can do theirs: trustworthy data, clear definitions, fast issue resolution. The team You sit within the Data Platform alongside: A Product Owner who sets the roadmap and business priorities. The Data Engineering function. Your manager (Data Engineering Lead) and the engineers building the platform. Embedded QA function. Owns automated validation. Shared DevOps across the wider organisation. Where you'll start Identity resolution. Deterministic matching is already running in our MDM across five data sources. You extend coverage to the remaining sources and validate match quality at scale. The harder cases are future scope: hashed identifiers without keys, duplicates across sources, device and behaviour signals. They start when we add dedicated ML engineering capacity, with no committed timeline yet. You'll own the spec and acceptance for that work when it begins. Skills & Experience SQL. Expert level. Window functions, complex joins, and root cause investigation on large datasets. dbt. Practical experience. You can write models, write tests, and debug them. Python. Comfortable for ad hoc analysis, scripting, and data manipulation. Confident across the modern data stack. You investigate problems yourself instead of waiting for DE, and you can explain the root cause to the business in plain language. Medallion or layered data architectures. You've written specifications that engineers built from. You've owned a data quality problem from "something looks off" to "fixed at source". You can talk to business stakeholders and a backend engineer in the same hour without losing either of them. Background in iGaming, affiliate marketing, SaaS, or other high-volume digital businesses. Experience unifying customer or user profiles across sources, sometimes called Customer 360 or Single Customer View. Angles: identity matching, semantic modelling, etc. What We Offer Opportunity to work on scalable, high-impact products in a growing iGaming business Collaborative and fast-paced engineering environment Exposure to modern technologies and architecture Competitive salary and performance-based incentives Flexible working environment and supportive team culture
30/07/2026
Full time
Senior Data Analyst About Traffic Label Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets. What we're building We're building a Customer Data Platform: one unified player profile across our group of brands. The platform should help the business: Improve acquisition. Understand who actually converts, and why others don' Increase conversion. Replace generic flows with journeys built for the specific player in front of us. Segment players properly. Who's a high-value player? Who's at risk of leaving? Who's a VIP? Reactivate before churn. Spot players who are about to leave and bring them back with offers that match what they actually want. Snowflake (with Snowpipe and Cortex Analyst LLM agent). dbt, Python. Airflow (Astronomer), AWS (S3, Lambda), Terraform, GitHub Actions. Omni BI on top. Reverse ETL into marketing platforms. We're early in the build, and the person we hire helps shape the foundation. Role Overview You sit between the business (Product Owner, stakeholders) and the engineering team. About 30% of your time is practical data work: validating that CDP capabilities behave as specified, exploring data before specs are written, testing hypotheses for new capabilities, building shared gold layer models that consumer teams use, and helping those teams understand what data is available. It is not business reporting or analytics built for individual brands. The other 70% is Systems Analysis: turning what you find into specs engineers can build from, owning data quality from symptom to root cause, raising what isn't right before it ships, and shaping the semantic layer so other business lines can find and trust the data. Four things define the systems analysis side: Turn business intent into specs that engineers can build from. Talk to stakeholders, figure out what they actually need, and write it down. Each spec covers source schema, target model, transformation logic, business glossary, schedule, data quality checks, consumer, and use case. Stay reachable through development. Engineers will have questions. Find and fix data quality problems at the root, alongside the engineering function. Trace lineage, identify the cause, work with the data source owner on the fix, check downstream impact, and close the loop. Confirm what's delivered does what we said it would. Validate against the spec you wrote. When the data isn't right, you raise it before it ships. Make data usable beyond the team that asked for it. Contribute to the semantic layer, data descriptions, and shared definitions so other business lines can find what they need, understand what it means, and trust it without going through you each time. You work on the Data Platform layer: CDP build, identity resolution, data quality, semantic definitions, and governance. Business analytics on top of the platform, such as dashboards and performance reports for specific brands, is produced by analyst teams aligned to those brands. Your job is to make sure those teams can do theirs: trustworthy data, clear definitions, fast issue resolution. The team You sit within the Data Platform alongside: A Product Owner who sets the roadmap and business priorities. The Data Engineering function. Your manager (Data Engineering Lead) and the engineers building the platform. Embedded QA function. Owns automated validation. Shared DevOps across the wider organisation. Where you'll start Identity resolution. Deterministic matching is already running in our MDM across five data sources. You extend coverage to the remaining sources and validate match quality at scale. The harder cases are future scope: hashed identifiers without keys, duplicates across sources, device and behaviour signals. They start when we add dedicated ML engineering capacity, with no committed timeline yet. You'll own the spec and acceptance for that work when it begins. Skills & Experience SQL. Expert level. Window functions, complex joins, and root cause investigation on large datasets. dbt. Practical experience. You can write models, write tests, and debug them. Python. Comfortable for ad hoc analysis, scripting, and data manipulation. Confident across the modern data stack. You investigate problems yourself instead of waiting for DE, and you can explain the root cause to the business in plain language. Medallion or layered data architectures. You've written specifications that engineers built from. You've owned a data quality problem from "something looks off" to "fixed at source". You can talk to business stakeholders and a backend engineer in the same hour without losing either of them. Background in iGaming, affiliate marketing, SaaS, or other high-volume digital businesses. Experience unifying customer or user profiles across sources, sometimes called Customer 360 or Single Customer View. Angles: identity matching, semantic modelling, etc. What We Offer Opportunity to work on scalable, high-impact products in a growing iGaming business Collaborative and fast-paced engineering environment Exposure to modern technologies and architecture Competitive salary and performance-based incentives Flexible working environment and supportive team culture
Role Overview An Amazing Career Opportunity for a Senior Program Manager, Strategic Service Programs! Location: Reading, UK. Job ID: 49356. The Senior Program Manager, Strategic Service Programs, will play a critical role in leading strategic customer, business, and transformation programs focused in EMEA while supporting global services transformation initiatives across the organization. The ideal candidate is a motivated and inquisitive self-starter who thrives in fast-paced environments, proactively identifies opportunities for improvement, develops actionable recommendations, communicates clearly, and effectively collaborates across global, cross-functional teams. This role combines program leadership, business transformation, operational excellence, financial analysis and reporting, technology acumen, and strategic execution. The successful candidate will lead complex customer facing programs and internal initiatives ranging from multi-year programs to shorter-term strategic projects, while helping evolve HID's growing service portfolio, recurring revenue offerings, operational processes, and service delivery capabilities. The Senior Program Manager, Strategic Service Programs, must manage multiple concurrent projects, programs, and business initiatives with varying levels of complexity, duration, stakeholders, and business impacts. This includes program planning duties such as requirements management, budget planning, financial analytics including P&L, schedule management, risk management, stakeholder management, communications, and executive reporting. Core Responsibilities Program Leadership: Lead assigned customer facing programs, strategic projects, and services transformation initiatives from initiation through successful delivery focused in EMEA. These may range from short term projects to multi year strategic efforts. Manage multiple concurrent projects, programs, and business initiatives with varying levels of complexity, duration, stakeholders, and business impacts. Drive program execution to facilitate delivery of all aspects across cross functional teams including but not limited to Services, Product Management, Engineering, Technical Support, Customer Success, Sales/Pre Sales, Operations, Finance, and external partners. Develop and maintain program plans including requirements, financial analytics including P&L, schedules, risk registers, dependencies, stakeholder roles and responsibilities, communications, and executive reporting. Identify, analyze, and mitigate program risks and proactively drive mitigation steps, contingency planning, and issue resolution to support business interests. Facilitate executive reviews, steering committees, status meetings, and decision making forums with appropriate stakeholders. Work with Sales and Pre Sales to ensure program and project objectives are clear and align with strategic business objectives and customer expectations. Support early stage budget and scope determinations when necessary. Represent customer, services, and operational perspectives in product planning activities, collaborating with Product Management and Engineering to ensure customer requirements, service delivery needs, business priorities, and strategic objectives are appropriately reflected in product roadmaps, epics, features, and improvement initiatives. Business and Financial Analysis: Analyze program financials, business performance metrics, and operational KPIs, tracking against baseline plans of record and routinely reporting overall program performance and financial health including current risks. Support business planning activities through financial modeling, ROI assessments, business case development, and data driven recommendations. Develop executive level reporting and insights to support strategic decision making. Evaluate business opportunities and provide recommendations based on financial, operational, and customer impact considerations. Technology and Innovation: Operate and communicate effectively within technical environments involving software, cloud based solutions, APIs, biometrics, ABIS/AFIS ecosystems, identity management solutions, cybersecurity, integrations, AI enabled technologies, and enterprise platforms. Leverage AI and automation tools to improve productivity, decision making, program execution, and service delivery outcomes. Serve as a bridge and liaison between internal business and technical stakeholders. Services Strategies and Business Growth: Support and drive services initiatives focused on service portfolio evolution, recurring revenue growth, service commercialization, and scalable delivery models. Identify, develop, and support opportunities to expand recurring revenue streams through maintenance, support, managed services, subscription based offerings, and other service based business models. Partner with Services, Finance, Product Management, Sales, and Operations teams to evaluate, develop, commercialize, and optimize service offerings through business case development, pricing strategies, profitability analysis, cost to serve evaluations, and portfolio management. Identify and implement opportunities to improve operational efficiency, customer experience, service scalability, governance, performance measurement, and overall business outcomes. Essential Qualifications Demonstrated experience managing complex programs and projects across multiple functions, business units, and geographic regions. Strong understanding of program management and execution, risk management, financial management, stakeholder management, change management, and business process improvement. Experience working within structured PMO environments and leading cross functional initiatives. Strong analytical, financial, and problem solving capabilities, including business case development, pricing analysis, profitability assessment, cost estimation, ROI evaluation, and data driven decision making. Demonstrated ability to identify opportunities, respectfully challenge assumptions and status quo, and develop actionable recommendations with limited supervision. Ability to communicate and operate effectively within technical environments involving software, cloud solutions, APIs, preferably including biometrics and ABIS technologies. Preferred Qualifications Experience supporting service transformation initiatives, recurring revenue offerings, service portfolio development, pricing strategy, profitability analysis, or service commercialization is highly desirable. Formal Project Management certifications such as PMP, PMI, PRINCE2, Agile, Scrum, or equivalent are highly valued. Experience participating in Agile environments, including exposure to scaled agile framework, scrum, roadmap planning, Program Increment (PI) planning, backlog prioritization, or similar cross functional planning activities is highly desirable. Additional languages such as French, German, Spanish, Portuguese, Arabic, or other languages commonly used across EMEA are considered an asset. Familiarity with ERP, ITSM, Customer Support, or Service Management platforms is considered an asset. Education and Experience Bachelor's degree in Business, Engineering, Computer Science, Information Technology, or related field. Equivalent combination of education and relevant work experience may also be considered. Minimum 10 years of experience in Program Management, Project Management, Business Transformation, Operations, Professional Services, or related disciplines. Experience within technology, software, biometrics, identity solutions, cybersecurity, SaaS, enterprise platforms, or related industries. Experience leading cross functional initiatives across global organizations. Benefits Competitive salary and rewards package. Competitive benefits and annual leave offering, allowing for work life balance. A vibrant, welcoming & inclusive culture. Extensive career development opportunities and resources to maximize your potential. Opportunity to be part of a global organization pioneering hardware, software and services that enable secure and seamless interactions. EEO Statement HID is committed to building a diverse, equitable, and inclusive workforce that reflects the global communities we serve. As an equal opportunity employer, we welcome applications from individuals of all backgrounds, experiences, and perspectives. We evaluate applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other legally protected characteristic.
30/07/2026
Full time
Role Overview An Amazing Career Opportunity for a Senior Program Manager, Strategic Service Programs! Location: Reading, UK. Job ID: 49356. The Senior Program Manager, Strategic Service Programs, will play a critical role in leading strategic customer, business, and transformation programs focused in EMEA while supporting global services transformation initiatives across the organization. The ideal candidate is a motivated and inquisitive self-starter who thrives in fast-paced environments, proactively identifies opportunities for improvement, develops actionable recommendations, communicates clearly, and effectively collaborates across global, cross-functional teams. This role combines program leadership, business transformation, operational excellence, financial analysis and reporting, technology acumen, and strategic execution. The successful candidate will lead complex customer facing programs and internal initiatives ranging from multi-year programs to shorter-term strategic projects, while helping evolve HID's growing service portfolio, recurring revenue offerings, operational processes, and service delivery capabilities. The Senior Program Manager, Strategic Service Programs, must manage multiple concurrent projects, programs, and business initiatives with varying levels of complexity, duration, stakeholders, and business impacts. This includes program planning duties such as requirements management, budget planning, financial analytics including P&L, schedule management, risk management, stakeholder management, communications, and executive reporting. Core Responsibilities Program Leadership: Lead assigned customer facing programs, strategic projects, and services transformation initiatives from initiation through successful delivery focused in EMEA. These may range from short term projects to multi year strategic efforts. Manage multiple concurrent projects, programs, and business initiatives with varying levels of complexity, duration, stakeholders, and business impacts. Drive program execution to facilitate delivery of all aspects across cross functional teams including but not limited to Services, Product Management, Engineering, Technical Support, Customer Success, Sales/Pre Sales, Operations, Finance, and external partners. Develop and maintain program plans including requirements, financial analytics including P&L, schedules, risk registers, dependencies, stakeholder roles and responsibilities, communications, and executive reporting. Identify, analyze, and mitigate program risks and proactively drive mitigation steps, contingency planning, and issue resolution to support business interests. Facilitate executive reviews, steering committees, status meetings, and decision making forums with appropriate stakeholders. Work with Sales and Pre Sales to ensure program and project objectives are clear and align with strategic business objectives and customer expectations. Support early stage budget and scope determinations when necessary. Represent customer, services, and operational perspectives in product planning activities, collaborating with Product Management and Engineering to ensure customer requirements, service delivery needs, business priorities, and strategic objectives are appropriately reflected in product roadmaps, epics, features, and improvement initiatives. Business and Financial Analysis: Analyze program financials, business performance metrics, and operational KPIs, tracking against baseline plans of record and routinely reporting overall program performance and financial health including current risks. Support business planning activities through financial modeling, ROI assessments, business case development, and data driven recommendations. Develop executive level reporting and insights to support strategic decision making. Evaluate business opportunities and provide recommendations based on financial, operational, and customer impact considerations. Technology and Innovation: Operate and communicate effectively within technical environments involving software, cloud based solutions, APIs, biometrics, ABIS/AFIS ecosystems, identity management solutions, cybersecurity, integrations, AI enabled technologies, and enterprise platforms. Leverage AI and automation tools to improve productivity, decision making, program execution, and service delivery outcomes. Serve as a bridge and liaison between internal business and technical stakeholders. Services Strategies and Business Growth: Support and drive services initiatives focused on service portfolio evolution, recurring revenue growth, service commercialization, and scalable delivery models. Identify, develop, and support opportunities to expand recurring revenue streams through maintenance, support, managed services, subscription based offerings, and other service based business models. Partner with Services, Finance, Product Management, Sales, and Operations teams to evaluate, develop, commercialize, and optimize service offerings through business case development, pricing strategies, profitability analysis, cost to serve evaluations, and portfolio management. Identify and implement opportunities to improve operational efficiency, customer experience, service scalability, governance, performance measurement, and overall business outcomes. Essential Qualifications Demonstrated experience managing complex programs and projects across multiple functions, business units, and geographic regions. Strong understanding of program management and execution, risk management, financial management, stakeholder management, change management, and business process improvement. Experience working within structured PMO environments and leading cross functional initiatives. Strong analytical, financial, and problem solving capabilities, including business case development, pricing analysis, profitability assessment, cost estimation, ROI evaluation, and data driven decision making. Demonstrated ability to identify opportunities, respectfully challenge assumptions and status quo, and develop actionable recommendations with limited supervision. Ability to communicate and operate effectively within technical environments involving software, cloud solutions, APIs, preferably including biometrics and ABIS technologies. Preferred Qualifications Experience supporting service transformation initiatives, recurring revenue offerings, service portfolio development, pricing strategy, profitability analysis, or service commercialization is highly desirable. Formal Project Management certifications such as PMP, PMI, PRINCE2, Agile, Scrum, or equivalent are highly valued. Experience participating in Agile environments, including exposure to scaled agile framework, scrum, roadmap planning, Program Increment (PI) planning, backlog prioritization, or similar cross functional planning activities is highly desirable. Additional languages such as French, German, Spanish, Portuguese, Arabic, or other languages commonly used across EMEA are considered an asset. Familiarity with ERP, ITSM, Customer Support, or Service Management platforms is considered an asset. Education and Experience Bachelor's degree in Business, Engineering, Computer Science, Information Technology, or related field. Equivalent combination of education and relevant work experience may also be considered. Minimum 10 years of experience in Program Management, Project Management, Business Transformation, Operations, Professional Services, or related disciplines. Experience within technology, software, biometrics, identity solutions, cybersecurity, SaaS, enterprise platforms, or related industries. Experience leading cross functional initiatives across global organizations. Benefits Competitive salary and rewards package. Competitive benefits and annual leave offering, allowing for work life balance. A vibrant, welcoming & inclusive culture. Extensive career development opportunities and resources to maximize your potential. Opportunity to be part of a global organization pioneering hardware, software and services that enable secure and seamless interactions. EEO Statement HID is committed to building a diverse, equitable, and inclusive workforce that reflects the global communities we serve. As an equal opportunity employer, we welcome applications from individuals of all backgrounds, experiences, and perspectives. We evaluate applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other legally protected characteristic.
Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success - it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option. About the role The candidate will be working with several independent product team and will need expertise in establishing and upholding standardized structure and process across several groups. The ideal candidate will have experience in organizations with growing and disparate development groups and will help scale process and maintain alignment with the larger organization. The candidate will serve as a primary liaison between the product team and engineering and be experienced in managing all aspects of project planning, execution, and customer satisfaction. In addition to establishing process, the project manager/scrum master will be expected to develop schedules, run all scrum ceremonies, identify and mitigate risks, collaborate with key stakeholders, and execute multiple projects in accordance with the terms and conditions of that project. Location: London (Waterloo), England, United Kingdom (Hybrid) Key Responsibilities Provide routine status and project reports to stakeholders including product management, senior management, engineering and co-workers as required. Status will be communicated verbally, through powerpoint presentations, Jira dashboards, velocity and release statistics, and other ad hoc reports. Assess the process maturity of the teams and organization and coach the team to higher levels of maturity, at a pace that is sustainable for the team and organization. Leading efforts to improve process and reporting by leveraging AI tools. Configure Jira projects and Confluence spaces and continuously assess efficacy of structures. Assist in comparing processes and structures across internal teams and proposing improvements. Implement processes and structures to improve and support agile/scrum methodology. Responsible for the development, implementation, and tracking of project plans and schedules. Work in collaboration with other scrum masters and project managers to organize and lead product integration projects. Support cross-team initiatives to improve and standardize sprint reporting and release forecasting. Run projects in a variety of methodologies including Kanban, scrum, or waterfall. Manage all aspects of the software development lifecycle using JIRA and Confluence. Remain current in Project Management and agile best practices, and IT technology. Other duties as assigned. Required Qualifications Minimum of four years of experience as software-centric project management or as a scrum master. Project Management experience must include using planning, scheduling, reporting and documenting tools including Atlassian software. Experience leveraging agentic AI for project management processes. Must possess strong verbal and written communication skills. Strong knowledge of software development lifecycle methodologies. Must be capable of leading and successfully working with individuals from different disciplines and experience levels. Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. Preferred Skills Experience working on government contracts preferred. Experience leading software projects using Agile, Scrum, SAFe, Kanban, and waterfall methodologies. Experience leading and implementing continuous process improvements. PMP and CSM certification is desired. Background in business analysis desired. Background in requirements management tools and configuration desired. A reasonable estimate of the base salary range for this role is: £85 200.00 GBP The actual salary offered may vary within the range based on a candidate's unique experience, locale, and business needs. In addition to base salary and either bonus or commission, Everfox offers a generous benefits package. competitive annual leave pension match PMI dental health cash plan income protection Hybrid work environment Our Talent Acquisition team will provide specific information regarding salary and benefits offerings. Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to . Applicants must have the right to work in the location to which you have applied. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success - it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option.
30/07/2026
Full time
Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success - it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option. About the role The candidate will be working with several independent product team and will need expertise in establishing and upholding standardized structure and process across several groups. The ideal candidate will have experience in organizations with growing and disparate development groups and will help scale process and maintain alignment with the larger organization. The candidate will serve as a primary liaison between the product team and engineering and be experienced in managing all aspects of project planning, execution, and customer satisfaction. In addition to establishing process, the project manager/scrum master will be expected to develop schedules, run all scrum ceremonies, identify and mitigate risks, collaborate with key stakeholders, and execute multiple projects in accordance with the terms and conditions of that project. Location: London (Waterloo), England, United Kingdom (Hybrid) Key Responsibilities Provide routine status and project reports to stakeholders including product management, senior management, engineering and co-workers as required. Status will be communicated verbally, through powerpoint presentations, Jira dashboards, velocity and release statistics, and other ad hoc reports. Assess the process maturity of the teams and organization and coach the team to higher levels of maturity, at a pace that is sustainable for the team and organization. Leading efforts to improve process and reporting by leveraging AI tools. Configure Jira projects and Confluence spaces and continuously assess efficacy of structures. Assist in comparing processes and structures across internal teams and proposing improvements. Implement processes and structures to improve and support agile/scrum methodology. Responsible for the development, implementation, and tracking of project plans and schedules. Work in collaboration with other scrum masters and project managers to organize and lead product integration projects. Support cross-team initiatives to improve and standardize sprint reporting and release forecasting. Run projects in a variety of methodologies including Kanban, scrum, or waterfall. Manage all aspects of the software development lifecycle using JIRA and Confluence. Remain current in Project Management and agile best practices, and IT technology. Other duties as assigned. Required Qualifications Minimum of four years of experience as software-centric project management or as a scrum master. Project Management experience must include using planning, scheduling, reporting and documenting tools including Atlassian software. Experience leveraging agentic AI for project management processes. Must possess strong verbal and written communication skills. Strong knowledge of software development lifecycle methodologies. Must be capable of leading and successfully working with individuals from different disciplines and experience levels. Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. Preferred Skills Experience working on government contracts preferred. Experience leading software projects using Agile, Scrum, SAFe, Kanban, and waterfall methodologies. Experience leading and implementing continuous process improvements. PMP and CSM certification is desired. Background in business analysis desired. Background in requirements management tools and configuration desired. A reasonable estimate of the base salary range for this role is: £85 200.00 GBP The actual salary offered may vary within the range based on a candidate's unique experience, locale, and business needs. In addition to base salary and either bonus or commission, Everfox offers a generous benefits package. competitive annual leave pension match PMI dental health cash plan income protection Hybrid work environment Our Talent Acquisition team will provide specific information regarding salary and benefits offerings. Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to . Applicants must have the right to work in the location to which you have applied. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success - it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option.
We1;re looking for a Senior Software Engineer to join our team building and operating the core data platform that powers our business. This platform sits at the heart of everything we do, delivering high-quality, real-time market data to systems and teams across the organisation. If you enjoy working on high-throughput, low-latency systems at massive scale, and want to take ownership of meaningful, business-critical problems, this role is for you. About the Role You1;ll be working on a distributed, event-driven platform responsible for processing billions of market data messages per day. This is a high-performance environment where reliability, scalability, and correctness are essential. Our platform acts as the backbone of the business, ensuring that accurate and timely market data flows seamlessly to downstream systems that depend on it for analytics. You1;ll collaborate closely with engineers, product teams, and stakeholders to design, build, and operate resilient systems that handle extreme data volumes with precision10- while also maintaining a strong focus on cost efficiency, scalability, and operational excellence. Key Responsibilities Design and build scalable, real-time data processing systems using technologies like Apache Flink, Kafka. Develop high-quality, maintainable code for Apache Flink (Java) data processing and .NET APIs. Lead and contribute to collaborative system design, while taking end-to-end ownership of implementation through to production support. Build production-grade systems with a strong focus on observability, monitoring, and operational excellence, enabling rapid detection and resolution of issues. Work with AWS services to build cloud-native, highly available systems. Define and manage infrastructure using Terraform. Implement CI/CD pipelines and deployment workflows using tools like Harness. Optimise systems for performance, latency, throughput, and cost. What We1;re Looking For Excellent collaboration and communication skills. Strong experience in distributed systems and event-driven architectures. Hands-on experience with: Apache Flink (or similar stream processing frameworks) Kafka or other messaging systems. Strong Proficiency in .NET or Java. Experience building systems that are highly observable and operationally mature, with strong monitoring, logging, and alerting practices. Strong understanding of performance tuning, scalability, and fault tolerance. Good understanding of cost implications when designing systems, including the ability to project costs as we scale. Why Join Us Work on systems that are mission-critical to the entire business Operate and evolve a platform handling billions of messages per day Solve complex engineering challenges at massive scale Be part of a team that values ownership, collaboration, and delivery Opportunity to shape a high-performance, cost-efficient, and highly observable data platform If you1;re motivated by building robust, scalable systems that operate under constant load, and want to have a direct impact on a platform the entire business depends on, we1;d love to hear from you. Base Salary Compensation Range GBP 68,200.00-95,333.33 Bonus Target: 12.5% AnnualWe expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate1;s qualifications, experience, and other job-related factors. the company's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. 301_MstarEurLtd the company Europe Ltd (UK) Legal Entity
30/07/2026
Full time
We1;re looking for a Senior Software Engineer to join our team building and operating the core data platform that powers our business. This platform sits at the heart of everything we do, delivering high-quality, real-time market data to systems and teams across the organisation. If you enjoy working on high-throughput, low-latency systems at massive scale, and want to take ownership of meaningful, business-critical problems, this role is for you. About the Role You1;ll be working on a distributed, event-driven platform responsible for processing billions of market data messages per day. This is a high-performance environment where reliability, scalability, and correctness are essential. Our platform acts as the backbone of the business, ensuring that accurate and timely market data flows seamlessly to downstream systems that depend on it for analytics. You1;ll collaborate closely with engineers, product teams, and stakeholders to design, build, and operate resilient systems that handle extreme data volumes with precision10- while also maintaining a strong focus on cost efficiency, scalability, and operational excellence. Key Responsibilities Design and build scalable, real-time data processing systems using technologies like Apache Flink, Kafka. Develop high-quality, maintainable code for Apache Flink (Java) data processing and .NET APIs. Lead and contribute to collaborative system design, while taking end-to-end ownership of implementation through to production support. Build production-grade systems with a strong focus on observability, monitoring, and operational excellence, enabling rapid detection and resolution of issues. Work with AWS services to build cloud-native, highly available systems. Define and manage infrastructure using Terraform. Implement CI/CD pipelines and deployment workflows using tools like Harness. Optimise systems for performance, latency, throughput, and cost. What We1;re Looking For Excellent collaboration and communication skills. Strong experience in distributed systems and event-driven architectures. Hands-on experience with: Apache Flink (or similar stream processing frameworks) Kafka or other messaging systems. Strong Proficiency in .NET or Java. Experience building systems that are highly observable and operationally mature, with strong monitoring, logging, and alerting practices. Strong understanding of performance tuning, scalability, and fault tolerance. Good understanding of cost implications when designing systems, including the ability to project costs as we scale. Why Join Us Work on systems that are mission-critical to the entire business Operate and evolve a platform handling billions of messages per day Solve complex engineering challenges at massive scale Be part of a team that values ownership, collaboration, and delivery Opportunity to shape a high-performance, cost-efficient, and highly observable data platform If you1;re motivated by building robust, scalable systems that operate under constant load, and want to have a direct impact on a platform the entire business depends on, we1;d love to hear from you. Base Salary Compensation Range GBP 68,200.00-95,333.33 Bonus Target: 12.5% AnnualWe expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate1;s qualifications, experience, and other job-related factors. the company's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. 301_MstarEurLtd the company Europe Ltd (UK) Legal Entity
Contract Opportunity Hospitality & Leisure Sector London Hybrid Duration: Initial 6-month contract with strong extension potential We are supporting a major hospitality organisation as part of a wider transformation programme, they are looking to engage an experienced Senior Technical Solution Architect to help shape and guide their evolving technology landscape. This is a high-impact role focused on defining technical direction across a complex, multi-business environment where systems, platforms and processes currently vary significantly across the group. Working closely with programme leadership, you will act as the senior technical authority across discovery and delivery initiatives, helping drive both long-term architectural strategy and shorter-term business-focused improvements. The Opportunity The organisation is tasked with accelerating transformation outcomes while continuing broader discovery activity. They therefore require an architect who can balance strategic thinking with pragmatic delivery, identifying quick wins while establishing a scalable future-state architecture. You will operate across enterprise and solution architecture, bringing strong understanding of applications, data ecosystems, platforms and user-facing insight solutions. Key Responsibilities Define and evolve the target technical architecture and strategic technology vision Develop architecture roadmaps and implementation sequencing Provide architectural governance and technical assurance across programmes Partner closely with programme management and cross-functional delivery teams Shape data product strategy and how insight tools are consumed by business stakeholders Support the development of dashboards, decision-support tools and business applications Translate technical direction into measurable commercial value and business outcomes Engage confidently with senior stakeholders across technology and business functions What We're Looking For Proven experience in roles such as Enterprise Architect, Solution Architect, Technical Architect or Architecture Director Background operating within large-scale, complex enterprise environments Strong understanding of data platforms, application ecosystems and analytics/BI solutions Ability to connect technology decisions with ROI, operational efficiency and business impactExperience building architecture roadmaps and guiding transformation programmes Comfortable navigating ambiguity, evolving priorities and fast-paced delivery environments Strong communication and stakeholder management capability Broad technical grounding with previous hands on engineering or development experience Desirable Experience Exposure to Azure and Databricks environments Experience within hospitality, travel, tourism, leisure or other multi site consumer organisations Consulting or client facing leadership experience at Director level or equivalent Familiarity working alongside programme managers and multidisciplinary transformation teams Previous AWS exposure would also be viewed positively
30/07/2026
Full time
Contract Opportunity Hospitality & Leisure Sector London Hybrid Duration: Initial 6-month contract with strong extension potential We are supporting a major hospitality organisation as part of a wider transformation programme, they are looking to engage an experienced Senior Technical Solution Architect to help shape and guide their evolving technology landscape. This is a high-impact role focused on defining technical direction across a complex, multi-business environment where systems, platforms and processes currently vary significantly across the group. Working closely with programme leadership, you will act as the senior technical authority across discovery and delivery initiatives, helping drive both long-term architectural strategy and shorter-term business-focused improvements. The Opportunity The organisation is tasked with accelerating transformation outcomes while continuing broader discovery activity. They therefore require an architect who can balance strategic thinking with pragmatic delivery, identifying quick wins while establishing a scalable future-state architecture. You will operate across enterprise and solution architecture, bringing strong understanding of applications, data ecosystems, platforms and user-facing insight solutions. Key Responsibilities Define and evolve the target technical architecture and strategic technology vision Develop architecture roadmaps and implementation sequencing Provide architectural governance and technical assurance across programmes Partner closely with programme management and cross-functional delivery teams Shape data product strategy and how insight tools are consumed by business stakeholders Support the development of dashboards, decision-support tools and business applications Translate technical direction into measurable commercial value and business outcomes Engage confidently with senior stakeholders across technology and business functions What We're Looking For Proven experience in roles such as Enterprise Architect, Solution Architect, Technical Architect or Architecture Director Background operating within large-scale, complex enterprise environments Strong understanding of data platforms, application ecosystems and analytics/BI solutions Ability to connect technology decisions with ROI, operational efficiency and business impactExperience building architecture roadmaps and guiding transformation programmes Comfortable navigating ambiguity, evolving priorities and fast-paced delivery environments Strong communication and stakeholder management capability Broad technical grounding with previous hands on engineering or development experience Desirable Experience Exposure to Azure and Databricks environments Experience within hospitality, travel, tourism, leisure or other multi site consumer organisations Consulting or client facing leadership experience at Director level or equivalent Familiarity working alongside programme managers and multidisciplinary transformation teams Previous AWS exposure would also be viewed positively
Cleo is hiring a (Senior) Machine Learning Engineer to build novel ML solutions for customer fintech needs. You'll lead production deployments, collaborate across teams, and push the boundaries of NLP and LLM-based systems to improve financial health for users at scale. You'll work with a team of engineers and product focused on real-world impact, training and deploying models across chatbots and transaction analytics while adopting state-of-the-art techniques.
30/07/2026
Full time
Cleo is hiring a (Senior) Machine Learning Engineer to build novel ML solutions for customer fintech needs. You'll lead production deployments, collaborate across teams, and push the boundaries of NLP and LLM-based systems to improve financial health for users at scale. You'll work with a team of engineers and product focused on real-world impact, training and deploying models across chatbots and transaction analytics while adopting state-of-the-art techniques.
Building the Future of Open FinancePayward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The teamFounded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. You'll work directly with the AI Growth Infrastructure Lead, the Growth Workflow Specialists across channels, and the domain experts who spec the workflows you build. You'll operate within the Growth Foundations Group - the centralized team that builds the engine every product team in the business runs on. The Role We're building an AI-native growth engine - one where agents make distribution decisions, creative is generated and iterated at scale, and the system compounds intelligence across every product simultaneously. This role is for someone who moves fast, builds from specs without needing hand-holding, and cares deeply about the quality of what they ship. If you've spent your career wanting to build systems that actually run growth rather than just support it - this is that role. WHAT YOU'LL BUILD Agent orchestration workflows across growth use cases - automating the decisions and executions that today require human intervention across paid media, lifecycle messaging, organic content, conversion optimization, incentives, and other growth levers Integrations between our AI reasoning layer, growth execution platforms, data infrastructure, experimentation systems, and analytics tools Shared agent infrastructure components - reusable workflow patterns, prompt libraries, and integration clients that every growth workstream draws from Monitoring and audit logging - ensuring every agent action is traceable, versioned, and queryable for governance and continuous improvement Creative and content generation pipelines - automating the brief-to-variant-to-distribution loop across growth channels WHAT YOU'LL OWN Build velocity across new growth workstreams - you are the person who gets workflows from spec to production Integration reliability - connections between systems work, handle errors gracefully, and are maintained as tools evolve Workflow documentation - every workflow you build is documented clearly enough that a domain specialist can understand, tune, and improve it without your involvement What you bring 3+ years building automation workflows, integrations, or agentic systems - using AI orchestration platforms, workflow automation tools, or equivalent technologies Strong understanding of API integrations - REST, webhooks, authentication patterns, and error handling at scale Experience working with LLM APIs - prompt engineering, structured outputs, tool use, and agent chaining Comfort working from a spec - you can take a workflow design and build it accurately without the architect in the room Growth or marketing context - you understand what you're building toward, not just how to build it Speed and quality in balance - you ship fast and you care what you ship Nice to haves Experience with paid media platforms, marketing automation, CRM, or lifecycle messaging systems Familiarity with data warehouse query patterns and event tracking infrastructure Background in a high-growth fintech, consumer tech, or multi-product technology environment Experience designing multi-agent architectures or complex agent-to-agent workflows Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Our commitmentPayward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connectedFollow us on TwitterLearn on the Kraken BlogConnect on LinkedInCandidate Privacy Notice
30/07/2026
Full time
Building the Future of Open FinancePayward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The teamFounded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. You'll work directly with the AI Growth Infrastructure Lead, the Growth Workflow Specialists across channels, and the domain experts who spec the workflows you build. You'll operate within the Growth Foundations Group - the centralized team that builds the engine every product team in the business runs on. The Role We're building an AI-native growth engine - one where agents make distribution decisions, creative is generated and iterated at scale, and the system compounds intelligence across every product simultaneously. This role is for someone who moves fast, builds from specs without needing hand-holding, and cares deeply about the quality of what they ship. If you've spent your career wanting to build systems that actually run growth rather than just support it - this is that role. WHAT YOU'LL BUILD Agent orchestration workflows across growth use cases - automating the decisions and executions that today require human intervention across paid media, lifecycle messaging, organic content, conversion optimization, incentives, and other growth levers Integrations between our AI reasoning layer, growth execution platforms, data infrastructure, experimentation systems, and analytics tools Shared agent infrastructure components - reusable workflow patterns, prompt libraries, and integration clients that every growth workstream draws from Monitoring and audit logging - ensuring every agent action is traceable, versioned, and queryable for governance and continuous improvement Creative and content generation pipelines - automating the brief-to-variant-to-distribution loop across growth channels WHAT YOU'LL OWN Build velocity across new growth workstreams - you are the person who gets workflows from spec to production Integration reliability - connections between systems work, handle errors gracefully, and are maintained as tools evolve Workflow documentation - every workflow you build is documented clearly enough that a domain specialist can understand, tune, and improve it without your involvement What you bring 3+ years building automation workflows, integrations, or agentic systems - using AI orchestration platforms, workflow automation tools, or equivalent technologies Strong understanding of API integrations - REST, webhooks, authentication patterns, and error handling at scale Experience working with LLM APIs - prompt engineering, structured outputs, tool use, and agent chaining Comfort working from a spec - you can take a workflow design and build it accurately without the architect in the room Growth or marketing context - you understand what you're building toward, not just how to build it Speed and quality in balance - you ship fast and you care what you ship Nice to haves Experience with paid media platforms, marketing automation, CRM, or lifecycle messaging systems Familiarity with data warehouse query patterns and event tracking infrastructure Background in a high-growth fintech, consumer tech, or multi-product technology environment Experience designing multi-agent architectures or complex agent-to-agent workflows Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Our commitmentPayward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connectedFollow us on TwitterLearn on the Kraken BlogConnect on LinkedInCandidate Privacy Notice
Lyst is a global fashion shopping platform founded in London in 2010, catering to over 160M shoppers per year. We curate pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined forces with Zozo, operators of Zozotown (Japan's leading fashion e-commerce platform). This partnership marks a bold new era for Lyst as we accelerate our ambition to redefine the future of fashion shopping through AI, personalisation, and cutting-edge technology. Lyst is building the world's most compelling fashion discovery experience. The Discovery team sits inside our Transforming the Customer Experience product group and is at the centre of how people find, explore and fall in love with fashion on Lyst. This is the team leading our work on AI Search, natural language refinement, ranking, personalisation and the next generation of fashion-aware shopping journeys. Search in fashion is changing fast. People no longer just type "black dress". They search with mood, context, occasion, taste and intent: "something minimal for a summer wedding", "trainers like these but less obvious", "quiet luxury work bags under £500". Our job is to make Lyst understand what they mean - and help them discover products they could not have found anywhere else. We're looking for a Senior Product Manager to help define and build that future. Discovery is one of the most important product bets at Lyst. The market is moving from keyword search to conversational, personalised and AI-assisted shopping. Our product already frames AI Search as a central part of that shift, with live experimentation around natural, expressive search and LLM-led intent interpretation. The wider market is moving the same way, with memory-aware, follow-up-led product discovery becoming a standard interaction model across AI shopping surfaces. This role is a chance to build what fashion discovery should become next: more visual, more personal, more expressive and much more intelligent than a grid of products behind a search box. And you get to drive that change. Responsibilities You'll lead the Discovery roadmap, from AI Search and refinement through to personalisation, ranking and new discovery surfaces. You'll decide how Lyst should understand fashion intent: the language users use, the signals they give us, the products they engage with, and the moments where they need inspiration rather than a literal search result. You'll partner closely with Engineering, Design, Data Science, Analytics and Research to turn ambiguous customer problems into sharp product bets, high-quality experiments and scalable product experiences. You'll shape how AI shows up in the product - not as a novelty, but as a materially better way to search, refine, browse and discover fashion. You'll use data and research to understand whether we are genuinely improving discovery: better search success, stronger engagement, more high intent actions, more repeat usage and ultimately more orders. What you'll work on The roadmap is evolving, but likely areas include: AI Search and natural language refinement. Search personalisation and fashion-aware ranking. Multimodal discovery, including image-led search and visual drill-downs. Inspirational query responses and richer discovery journeys. Reducing dead ends in search, including zero-results journeys, poor relevance and overly literal matching. Using Lyst's fashion data to make discovery feel more intelligent, more personal and more culturally aware. You're a Senior Product Manager who has worked on complex consumer product experiences - ideally search, discovery, recommendations, personalisation, marketplaces, e-commerce, AI products and/or mobile apps. You're highly customer-led, but not vague about it. You know how to combine user research, behavioural data, experiment results and product judgement to make strong calls. You're comfortable with technical ambiguity. You can work with engineers and data scientists on AI, ranking, search quality and relevance without needing to be the technical expert yourself. You have excellent product taste. You care about making discovery feel magical, not just functional. You can simplify complexity. Fashion discovery has messy data, subjective intent, commercial constraints and edge cases everywhere. You can turn that into a roadmap people understand and believe in. You're commercially sharp. You know that great discovery should inspire users, but also move meaningful business metrics. You're excited by fashion, culture and how people shop - not just by the mechanics of search. Benefits and Working Arrangements Our Ways of Working: We all come into the office on Tuesday and Thursday, with the option to work remotely or come into the office on the other days. We believe that in-person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more. We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements. Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
30/07/2026
Full time
Lyst is a global fashion shopping platform founded in London in 2010, catering to over 160M shoppers per year. We curate pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined forces with Zozo, operators of Zozotown (Japan's leading fashion e-commerce platform). This partnership marks a bold new era for Lyst as we accelerate our ambition to redefine the future of fashion shopping through AI, personalisation, and cutting-edge technology. Lyst is building the world's most compelling fashion discovery experience. The Discovery team sits inside our Transforming the Customer Experience product group and is at the centre of how people find, explore and fall in love with fashion on Lyst. This is the team leading our work on AI Search, natural language refinement, ranking, personalisation and the next generation of fashion-aware shopping journeys. Search in fashion is changing fast. People no longer just type "black dress". They search with mood, context, occasion, taste and intent: "something minimal for a summer wedding", "trainers like these but less obvious", "quiet luxury work bags under £500". Our job is to make Lyst understand what they mean - and help them discover products they could not have found anywhere else. We're looking for a Senior Product Manager to help define and build that future. Discovery is one of the most important product bets at Lyst. The market is moving from keyword search to conversational, personalised and AI-assisted shopping. Our product already frames AI Search as a central part of that shift, with live experimentation around natural, expressive search and LLM-led intent interpretation. The wider market is moving the same way, with memory-aware, follow-up-led product discovery becoming a standard interaction model across AI shopping surfaces. This role is a chance to build what fashion discovery should become next: more visual, more personal, more expressive and much more intelligent than a grid of products behind a search box. And you get to drive that change. Responsibilities You'll lead the Discovery roadmap, from AI Search and refinement through to personalisation, ranking and new discovery surfaces. You'll decide how Lyst should understand fashion intent: the language users use, the signals they give us, the products they engage with, and the moments where they need inspiration rather than a literal search result. You'll partner closely with Engineering, Design, Data Science, Analytics and Research to turn ambiguous customer problems into sharp product bets, high-quality experiments and scalable product experiences. You'll shape how AI shows up in the product - not as a novelty, but as a materially better way to search, refine, browse and discover fashion. You'll use data and research to understand whether we are genuinely improving discovery: better search success, stronger engagement, more high intent actions, more repeat usage and ultimately more orders. What you'll work on The roadmap is evolving, but likely areas include: AI Search and natural language refinement. Search personalisation and fashion-aware ranking. Multimodal discovery, including image-led search and visual drill-downs. Inspirational query responses and richer discovery journeys. Reducing dead ends in search, including zero-results journeys, poor relevance and overly literal matching. Using Lyst's fashion data to make discovery feel more intelligent, more personal and more culturally aware. You're a Senior Product Manager who has worked on complex consumer product experiences - ideally search, discovery, recommendations, personalisation, marketplaces, e-commerce, AI products and/or mobile apps. You're highly customer-led, but not vague about it. You know how to combine user research, behavioural data, experiment results and product judgement to make strong calls. You're comfortable with technical ambiguity. You can work with engineers and data scientists on AI, ranking, search quality and relevance without needing to be the technical expert yourself. You have excellent product taste. You care about making discovery feel magical, not just functional. You can simplify complexity. Fashion discovery has messy data, subjective intent, commercial constraints and edge cases everywhere. You can turn that into a roadmap people understand and believe in. You're commercially sharp. You know that great discovery should inspire users, but also move meaningful business metrics. You're excited by fashion, culture and how people shop - not just by the mechanics of search. Benefits and Working Arrangements Our Ways of Working: We all come into the office on Tuesday and Thursday, with the option to work remotely or come into the office on the other days. We believe that in-person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more. We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements. Don't meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation to make faster, more confident business decisions. This role goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting millions of PlayStation players while helping establish best-in-class measurement practices across one of the world's leading entertainment companies. What You'll Be Doing: Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Define and promote best practices for experiment design, statistical analysis and causal measurement across multiple product and business teams, helping scale experimentation across PlayStation. Partner closely with senior business leaders, product managers, engineers and analysts to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. Partner with engineering teams to influence the evolution of PlayStation's experimentation platform and measurement capabilities, ensuring statistical best practices are embedded into future platform development. Provide technical leadership across multiple product and commercial domains, influencing measurement strategy, analytical standards and long-term technical direction through expertise and collaboration. Mentor and develop analysts and data scientists, helping raise technical capability and analytical excellence across the team. Champion a culture of evidence-based decision-making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders, and promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems. Deep expertise in experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches. Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems. Expert-level proficiency in Python and SQL for large-scale analytical workflows. Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams. Demonstrated ability to influence technical direction, promote best practices and drive adoption through collaboration, technical leadership and senior stakeholder engagement. Strong stakeholder management, executive communication and influencing skills, with the ability to translate complex analytical concepts into clear business recommendations for both technical and non-technical audiences. Curiosity, creativity and a pragmatic approach to solving ambiguous, high-impact business problems. Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity. Demonstrated technical leadership through mentoring, publications, conference presentations, open-source contributions or internal communities of practice. What You'll Influence: Measurement strategy for PlayStation's largest product and commercial initiatives. Experimentation best practices adopted across multiple business functions. Strategic product and commercial decisions through rigorous causal evidence. The evolution of PlayStation's measurement and experimentation capabilities. Technical excellence in experimentation, causal inference and applied data science across the organisation. Why You'll Love This Role: Shape how PlayStation measures product and commercial success across a global business. Influence strategic decisions affecting millions of players worldwide. Solve challenging real-world problems using cutting-edge experimentation, causal inference and machine learning techniques. Collaborate with talented scientists, engineers and product leaders on high-impact initiatives. Drive the adoption of best practices in experimentation and evidence-based decision-making across PlayStation. Continue developing your technical expertise while mentoring and growing others. Benefits: Discretionary bonus opportunity Hybrid Working (FlexModes) Private Medical Insurance Dental Scheme 25 days annual leave On-site gym Subsidised café Complimentary soft drinks On-site bar Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
30/07/2026
Full time
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Senior / Staff Data Scientist, you will help shape how PlayStation measures the impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation to make faster, more confident business decisions. This role goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation. This is an opportunity to influence strategic decisions impacting millions of PlayStation players while helping establish best-in-class measurement practices across one of the world's leading entertainment companies. What You'll Be Doing: Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Define and promote best practices for experiment design, statistical analysis and causal measurement across multiple product and business teams, helping scale experimentation across PlayStation. Partner closely with senior business leaders, product managers, engineers and analysts to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. Partner with engineering teams to influence the evolution of PlayStation's experimentation platform and measurement capabilities, ensuring statistical best practices are embedded into future platform development. Provide technical leadership across multiple product and commercial domains, influencing measurement strategy, analytical standards and long-term technical direction through expertise and collaboration. Mentor and develop analysts and data scientists, helping raise technical capability and analytical excellence across the team. Champion a culture of evidence-based decision-making by educating stakeholders, sharing best practices, and communicating advances in experimentation, causal inference and applied data science. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Represent the team across PlayStation, building strong partnerships, engaging senior stakeholders, and promoting technical excellence in data science and experimentation. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. Strong industry experience (5+ years) applying experimentation, causal inference, statistical modelling and measurement science to solve complex business problems. Deep expertise in experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches. Experience applying advanced data science, machine learning and statistical modelling techniques to solve complex business problems. Expert-level proficiency in Python and SQL for large-scale analytical workflows. Experience developing reusable analytical methodologies, frameworks or libraries that improve measurement quality and consistency across teams. Demonstrated ability to influence technical direction, promote best practices and drive adoption through collaboration, technical leadership and senior stakeholder engagement. Strong stakeholder management, executive communication and influencing skills, with the ability to translate complex analytical concepts into clear business recommendations for both technical and non-technical audiences. Curiosity, creativity and a pragmatic approach to solving ambiguous, high-impact business problems. Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity. Demonstrated technical leadership through mentoring, publications, conference presentations, open-source contributions or internal communities of practice. What You'll Influence: Measurement strategy for PlayStation's largest product and commercial initiatives. Experimentation best practices adopted across multiple business functions. Strategic product and commercial decisions through rigorous causal evidence. The evolution of PlayStation's measurement and experimentation capabilities. Technical excellence in experimentation, causal inference and applied data science across the organisation. Why You'll Love This Role: Shape how PlayStation measures product and commercial success across a global business. Influence strategic decisions affecting millions of players worldwide. Solve challenging real-world problems using cutting-edge experimentation, causal inference and machine learning techniques. Collaborate with talented scientists, engineers and product leaders on high-impact initiatives. Drive the adoption of best practices in experimentation and evidence-based decision-making across PlayStation. Continue developing your technical expertise while mentoring and growing others. Benefits: Discretionary bonus opportunity Hybrid Working (FlexModes) Private Medical Insurance Dental Scheme 25 days annual leave On-site gym Subsidised café Complimentary soft drinks On-site bar Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Zopa's Analytics teams are building new automated ways to find the problems that impact customers and the bank and stop them before they spread. Leveraging analytics, automation and AI-enabled tooling, we're moving away from manual controls towards scalable automated systems and controls that can proactively detect problems and improve customer outcomes. This is a new and highly visible area for Zopa, with strong backing from senior leadership and real opportunity to shape how analytics, automation and AI are used to solve real business problems. You'll work across Product, Analytics, Engineering and Risk to understand how processes actually work, where data lives, and how we can turn messy operational processes into scalable automated solutions and controls. Banking is the business of risk management - put yourself at the heart of it and join us on the journey to unleashing the power of cutting edge technologies in this business critical area! The first focus will be lending products, including customer statements and related communications, with scope to expand into other product areas over time. A day in the life You'llspeak to stakeholders across the business to understand processes that may not be fully documented Investigate how data moves through systems and work out what needs to bemonitored,validatedor automated Use SQL, Python and AI-enabled tools to build scalable automated solutionsthat were previously unimageable, like ourcutting edgeAI tool that ensures weidentifyand protect our vulnerable customers. Partner with Product and Engineering teams to understand system architecture and support implementation Help improve the quality,reliabilityand scalability of how weidentifyand prevent operational issues Shape a new capability at Zopa, creating approaches and patterns that can be reused as the function grows About you Degree or equivalent experience in a STEM field or similar Highly curious, with a strong instinct to dig deeper and understand how systems,processesand data flows work Comfortable working in ambiguous environments where problems are not fully defined Strong logical thinking and problem-solving skills, with a practical and structured approach Strong communicationand stakeholder skills, with the confidence to ask good questions and challenge assumptions A proactive mindset with examples of taking ownership and driving work forward independently Exposure to SQL, Python or similar analytical tooling, orstrong evidenceof the aptitude to learn quickly Excited by automation, AI and using technology to solve real business problems Added bonus: Experience in operations, consulting,fintechor other fast-moving environments Experience using AI tools to solve real problems, with the ability to critically assess outputs rather than accept them at face value Personal projects,coursesor other examples thatdemonstratecoding curiosity or technical learning At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we'll make sure you've got everything you need to thrive, both in your work and home life, from day one. Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. Our approach to AI in interviews At Zopa, AI isn't something we're testing out - it's part of how we work every day. As a proud partner ofJobs 2030,we'recommitted to building AI fluency across our workforce, and we expectZopiansto use AI as part of how they do their jobs. Because of that, we want to be transparent about how we think about AI use during our hiring process. Behavioural and competency-based interviews: pleasedon'tuse AI These conversations are designed to understandyou- your experiences, your judgment, and howyou'veapproached real situations. An AI-generated answercan'ttell us that. What it can do is get in the way of us finding out whetherwe'rethe right fit for each other. Technical interviews: it depends on the role.Some technical stages actively welcome AI use,othersdon't. Your Talent Partner will let you knowwhat'sexpected at each stage.Where AI is part of the assessment,we'llbe interested not just in the outcome, but in how you used it - the tools you chose, your reasoning, and the decisions you made along the way.
30/07/2026
Full time
Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Zopa's Analytics teams are building new automated ways to find the problems that impact customers and the bank and stop them before they spread. Leveraging analytics, automation and AI-enabled tooling, we're moving away from manual controls towards scalable automated systems and controls that can proactively detect problems and improve customer outcomes. This is a new and highly visible area for Zopa, with strong backing from senior leadership and real opportunity to shape how analytics, automation and AI are used to solve real business problems. You'll work across Product, Analytics, Engineering and Risk to understand how processes actually work, where data lives, and how we can turn messy operational processes into scalable automated solutions and controls. Banking is the business of risk management - put yourself at the heart of it and join us on the journey to unleashing the power of cutting edge technologies in this business critical area! The first focus will be lending products, including customer statements and related communications, with scope to expand into other product areas over time. A day in the life You'llspeak to stakeholders across the business to understand processes that may not be fully documented Investigate how data moves through systems and work out what needs to bemonitored,validatedor automated Use SQL, Python and AI-enabled tools to build scalable automated solutionsthat were previously unimageable, like ourcutting edgeAI tool that ensures weidentifyand protect our vulnerable customers. Partner with Product and Engineering teams to understand system architecture and support implementation Help improve the quality,reliabilityand scalability of how weidentifyand prevent operational issues Shape a new capability at Zopa, creating approaches and patterns that can be reused as the function grows About you Degree or equivalent experience in a STEM field or similar Highly curious, with a strong instinct to dig deeper and understand how systems,processesand data flows work Comfortable working in ambiguous environments where problems are not fully defined Strong logical thinking and problem-solving skills, with a practical and structured approach Strong communicationand stakeholder skills, with the confidence to ask good questions and challenge assumptions A proactive mindset with examples of taking ownership and driving work forward independently Exposure to SQL, Python or similar analytical tooling, orstrong evidenceof the aptitude to learn quickly Excited by automation, AI and using technology to solve real business problems Added bonus: Experience in operations, consulting,fintechor other fast-moving environments Experience using AI tools to solve real problems, with the ability to critically assess outputs rather than accept them at face value Personal projects,coursesor other examples thatdemonstratecoding curiosity or technical learning At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we'll make sure you've got everything you need to thrive, both in your work and home life, from day one. Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. Our approach to AI in interviews At Zopa, AI isn't something we're testing out - it's part of how we work every day. As a proud partner ofJobs 2030,we'recommitted to building AI fluency across our workforce, and we expectZopiansto use AI as part of how they do their jobs. Because of that, we want to be transparent about how we think about AI use during our hiring process. Behavioural and competency-based interviews: pleasedon'tuse AI These conversations are designed to understandyou- your experiences, your judgment, and howyou'veapproached real situations. An AI-generated answercan'ttell us that. What it can do is get in the way of us finding out whetherwe'rethe right fit for each other. Technical interviews: it depends on the role.Some technical stages actively welcome AI use,othersdon't. Your Talent Partner will let you knowwhat'sexpected at each stage.Where AI is part of the assessment,we'llbe interested not just in the outcome, but in how you used it - the tools you chose, your reasoning, and the decisions you made along the way.
End Date Monday 10 August 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary We're transforming how security and compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous, intelligence-driven assurance. As a Senior Technical Application Specialist - Compliance Engineering, you'll play a key role in shaping and advancing regulatory security monitoring capabilities-combining deep technical expertise with an engineering-led approach to deliver scalable, automated and auditable solutions. You'll operate at the intersection of security, data engineering and platform delivery, helping drive innovation while ensuring robust regulatory compliance across the enterprise. Job Description JOB TITLE: Senior Technical Application Specialist SALARY: £72,702-£88,858 LOCATION(S): Edinburgh, Bristol, Leeds or Manchester HOURS: Full-time - 35 hours a week - Monday to Friday 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 We're transforming how Security and Compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous, insight-based assurance. As a Senior Technical Application Specialist - Compliance Engineering, you'll play a key role in shaping and advancing regulatory security monitoring capabilities-combining deep technical expertise with an engineering-led approach to deliver scalable, automated and auditable solutions. You'll operate at the intersection of security, data engineering and platform delivery, helping drive innovation while ensuring robust regulatory compliance across the enterprise. What you'll be doing: Design, build and evolve regulatory security monitoring and compliance capabilities, ensuring controls are scalable, resilient and continuously verifiable. Lead the development of security telemetry and monitoring solutions (including Database Activity Monitoring), enabling effective detection, assurance and regulatory compliance. Architect and optimise configuration of our alerting use cases, integrating complex and diverse data sources across cloud and on-premise environments. Drive continuous compliance practices, embedding automated control validation, monitoring and evidencing into engineering workflows. Apply and promote modern engineering practices, including CI/CD, automation, testing and infrastructure and configuration as code to improve quality, speed and reliability. Provide technical leadership and mentorship to team members, supporting capability uplift and collaboration across the lab. Challenge existing approaches and drive continuous improvement, finding opportunities to improve efficiency, scalability and control effectiveness. Why join us? We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. What we're looking for: We're looking for an experienced engineer who brings a strong engineering approach to security and compliance, with a passion for building scalable, automated solutions and driving technical excellence. You'll bring: Strong experience in security monitoring, telemetry or compliance engineering, including platforms such as Database Activity Monitoring or similar. Proven ability to design and deliver data-driven monitoring solutions, including pipelines, ingestion frameworks and automation. Deep understanding of security logging, deploying detective configuration and regulatory control environments (e.g. SOX, SWIFT CSP, audit logging). Experience working with modern cloud platforms (GCP, AWS or Azure) and distributed architectures. Strong problem-solving capability, with a structured and analytical approach to complex technical challenges. Excellent collaboration and communication skills, with the ability to influence stakeholders and work across engineering and security teams. And any of these would be great: Strong programming or scripting capability (using Python, SQL or similar). Experience with DevSecOps practices, CI/CD pipelines and infrastructure as code. Familiarity with observability platforms, Security monitoring tools or large-scale data analytics frameworks. Understanding of distributed system or event-driven architectures. Experience mentoring or supporting the development of other engineers. Interest in, or experience with, AI and automation in security and compliance. We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you 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 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 policies 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 your 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.
30/07/2026
Full time
End Date Monday 10 August 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary We're transforming how security and compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous, intelligence-driven assurance. As a Senior Technical Application Specialist - Compliance Engineering, you'll play a key role in shaping and advancing regulatory security monitoring capabilities-combining deep technical expertise with an engineering-led approach to deliver scalable, automated and auditable solutions. You'll operate at the intersection of security, data engineering and platform delivery, helping drive innovation while ensuring robust regulatory compliance across the enterprise. Job Description JOB TITLE: Senior Technical Application Specialist SALARY: £72,702-£88,858 LOCATION(S): Edinburgh, Bristol, Leeds or Manchester HOURS: Full-time - 35 hours a week - Monday to Friday 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 We're transforming how Security and Compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous, insight-based assurance. As a Senior Technical Application Specialist - Compliance Engineering, you'll play a key role in shaping and advancing regulatory security monitoring capabilities-combining deep technical expertise with an engineering-led approach to deliver scalable, automated and auditable solutions. You'll operate at the intersection of security, data engineering and platform delivery, helping drive innovation while ensuring robust regulatory compliance across the enterprise. What you'll be doing: Design, build and evolve regulatory security monitoring and compliance capabilities, ensuring controls are scalable, resilient and continuously verifiable. Lead the development of security telemetry and monitoring solutions (including Database Activity Monitoring), enabling effective detection, assurance and regulatory compliance. Architect and optimise configuration of our alerting use cases, integrating complex and diverse data sources across cloud and on-premise environments. Drive continuous compliance practices, embedding automated control validation, monitoring and evidencing into engineering workflows. Apply and promote modern engineering practices, including CI/CD, automation, testing and infrastructure and configuration as code to improve quality, speed and reliability. Provide technical leadership and mentorship to team members, supporting capability uplift and collaboration across the lab. Challenge existing approaches and drive continuous improvement, finding opportunities to improve efficiency, scalability and control effectiveness. Why join us? We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. What we're looking for: We're looking for an experienced engineer who brings a strong engineering approach to security and compliance, with a passion for building scalable, automated solutions and driving technical excellence. You'll bring: Strong experience in security monitoring, telemetry or compliance engineering, including platforms such as Database Activity Monitoring or similar. Proven ability to design and deliver data-driven monitoring solutions, including pipelines, ingestion frameworks and automation. Deep understanding of security logging, deploying detective configuration and regulatory control environments (e.g. SOX, SWIFT CSP, audit logging). Experience working with modern cloud platforms (GCP, AWS or Azure) and distributed architectures. Strong problem-solving capability, with a structured and analytical approach to complex technical challenges. Excellent collaboration and communication skills, with the ability to influence stakeholders and work across engineering and security teams. And any of these would be great: Strong programming or scripting capability (using Python, SQL or similar). Experience with DevSecOps practices, CI/CD pipelines and infrastructure as code. Familiarity with observability platforms, Security monitoring tools or large-scale data analytics frameworks. Understanding of distributed system or event-driven architectures. Experience mentoring or supporting the development of other engineers. Interest in, or experience with, AI and automation in security and compliance. We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you 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 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 policies 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 your 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.
