Senior Product Manager Senior Product Manager - Supply Chain Data & Digital Twins Mondra is a high-growth tech start-up that is delivering a cutting-edge food system environmental insights platform to accelerate the planet's progress to NetZero carbon emissions. Following a successful Series A fundraising round, we are scaling up rapidly and preparing for significant growth in user numbers. Role Overview We are looking for a Senior Product Manager to lead our supply chain data strategy and drive the development of digital twin capabilities within the Mondra platform. This role is pivotal in unlocking additional value from our existing data while identifying new partnership opportunities and data sources that enhance our supply chain visibility. As a Senior Product Manager, you will be lead data strategist - someone who can intuitively understand complex data relationships, identifying untapped opportunities within existing datasets and identifying emerging needs. You'll work closely with our Science and Engineering teams to continuously improve our digital representations of supply chains, enabling better decision-making across the food system. The ideal candidate will bring exceptional data thinking and analytical capabilities, combined with strong product management skills, to help Mondra become the definitive platform for supply chain intelligence. You'll receive support from the Head of Product while being empowered to drive strategic decisions and own the roadmap for this critical area of our business. Responsibilities Define and own the product strategy for supply chain data capabilities and digital twin development within the Mondra platform Identify opportunities to extract additional value from existing data assets and partnerships, working with stakeholders to prioritize high-impact initiatives Collaborate with potential data partners to understand integration opportunities and define partnership requirements Work closely with the Science team to understand the implications of different data sources and ensure methodological soundness in digital twin models Translate complex supply chain concepts into user-friendly product features that provide actionable insights Define the product roadmap for digital twin capabilities, balancing technical feasibility with customer value Engage with customers and prospects to understand their needs and validate product concepts Work with Engineering teams to ensure data integration architectures support scalable digital twin development Clearly define Epics, Features, and User Stories with well-articulated acceptance criteria for supply chain data features Act as the primary product liaison between internal teams and external data partners Participate in Agile ceremonies and guide development teams toward successful delivery of supply chain features Skills 5+ years Product Management experience with a focus on data-intensive products, data platforms or complex data integration challenges. Proven experience working with large-scale, multi-dimensional datasets and demonstrated ability to synthesize actionable insights from disparate data sources Experience evaluating and structuring data partnerships, including understanding of data licensing, integration models, and partnership frameworks Background in supply chain management, logistics, or related field with understanding of food/FMCG supply chains preferred Familiarity with digital twin concepts and their application in supply chain contexts Experience with PLM (Product Lifecycle Management) systems is highly desirable Solid grasp of Agile principles with experience delivering using Scrum/Kanban methodologies Excellent communication skills, able to translate technical concepts for business stakeholders Experience working with APIs and data integration challenges Strong interpersonal skills with experience managing relationships with external partners Basic understanding of environmental impact assessment methodologies (LCA knowledge beneficial) Personal attributes and qualities Strategic thinker who can balance short-term needs with long-term vision Self-starter who can work independently while collaborating effectively across teams Detail-oriented with ability to understand technical nuances while maintaining business focus Proactive approach to identifying opportunities and solving complex problems Strong interest in sustainability and making a positive environmental impact Adaptable and eager to learn, particularly around environmental science methodologies Technical skills Microsoft Office with advanced Excel and PowerPoint proficiency Azure DevOps for agile backlog and task management Familiarity with data visualization tools and techniques Understanding of API architectures and data integration patterns Knowledge of supply chain management software and systems
Aug 25, 2026
Full time
Senior Product Manager Senior Product Manager - Supply Chain Data & Digital Twins Mondra is a high-growth tech start-up that is delivering a cutting-edge food system environmental insights platform to accelerate the planet's progress to NetZero carbon emissions. Following a successful Series A fundraising round, we are scaling up rapidly and preparing for significant growth in user numbers. Role Overview We are looking for a Senior Product Manager to lead our supply chain data strategy and drive the development of digital twin capabilities within the Mondra platform. This role is pivotal in unlocking additional value from our existing data while identifying new partnership opportunities and data sources that enhance our supply chain visibility. As a Senior Product Manager, you will be lead data strategist - someone who can intuitively understand complex data relationships, identifying untapped opportunities within existing datasets and identifying emerging needs. You'll work closely with our Science and Engineering teams to continuously improve our digital representations of supply chains, enabling better decision-making across the food system. The ideal candidate will bring exceptional data thinking and analytical capabilities, combined with strong product management skills, to help Mondra become the definitive platform for supply chain intelligence. You'll receive support from the Head of Product while being empowered to drive strategic decisions and own the roadmap for this critical area of our business. Responsibilities Define and own the product strategy for supply chain data capabilities and digital twin development within the Mondra platform Identify opportunities to extract additional value from existing data assets and partnerships, working with stakeholders to prioritize high-impact initiatives Collaborate with potential data partners to understand integration opportunities and define partnership requirements Work closely with the Science team to understand the implications of different data sources and ensure methodological soundness in digital twin models Translate complex supply chain concepts into user-friendly product features that provide actionable insights Define the product roadmap for digital twin capabilities, balancing technical feasibility with customer value Engage with customers and prospects to understand their needs and validate product concepts Work with Engineering teams to ensure data integration architectures support scalable digital twin development Clearly define Epics, Features, and User Stories with well-articulated acceptance criteria for supply chain data features Act as the primary product liaison between internal teams and external data partners Participate in Agile ceremonies and guide development teams toward successful delivery of supply chain features Skills 5+ years Product Management experience with a focus on data-intensive products, data platforms or complex data integration challenges. Proven experience working with large-scale, multi-dimensional datasets and demonstrated ability to synthesize actionable insights from disparate data sources Experience evaluating and structuring data partnerships, including understanding of data licensing, integration models, and partnership frameworks Background in supply chain management, logistics, or related field with understanding of food/FMCG supply chains preferred Familiarity with digital twin concepts and their application in supply chain contexts Experience with PLM (Product Lifecycle Management) systems is highly desirable Solid grasp of Agile principles with experience delivering using Scrum/Kanban methodologies Excellent communication skills, able to translate technical concepts for business stakeholders Experience working with APIs and data integration challenges Strong interpersonal skills with experience managing relationships with external partners Basic understanding of environmental impact assessment methodologies (LCA knowledge beneficial) Personal attributes and qualities Strategic thinker who can balance short-term needs with long-term vision Self-starter who can work independently while collaborating effectively across teams Detail-oriented with ability to understand technical nuances while maintaining business focus Proactive approach to identifying opportunities and solving complex problems Strong interest in sustainability and making a positive environmental impact Adaptable and eager to learn, particularly around environmental science methodologies Technical skills Microsoft Office with advanced Excel and PowerPoint proficiency Azure DevOps for agile backlog and task management Familiarity with data visualization tools and techniques Understanding of API architectures and data integration patterns Knowledge of supply chain management software and systems
Your responsibilities: Define and document solution designs, integration needs, and architectural decisions. Establish a solid baseline for building, implementing, and running effective technology applications. Apply architectural standards and patterns while enabling frequent, incremental improvements to deliver value. Build and maintain strong stakeholder relationships, including third-party suppliers and internal teams, ensuring alignment between a technical and non-technical audience. Champion innovation by exploring and evaluating AI-driven opportunities, identifying use cases that enhance colleague experience. Your Profile Essential skills/knowledge/experience: Analyse and clearly articulate issues, dependencies, and recommendations to stakeholders. Contribute to technical design risks and drive them through to resolution. Assess software and infrastructure risks and recommend remediation options. Conduct research and trend analysis to inform architectural choices and shape strategic direction. Hands-on experience with Jira and Confluence for effective collaboration and delivery tracking. Practical experience with major cloud platforms (GCP and Azure), leveraging their capabilities to design scalable solutions. Comfortable creating and discussing solution designs with both engineers and business stakeholders. Proven ability (or readiness) to introduce AI capabilities into enterprise solutions, balancing innovation with compliance and security.
Aug 25, 2026
Contractor
Your responsibilities: Define and document solution designs, integration needs, and architectural decisions. Establish a solid baseline for building, implementing, and running effective technology applications. Apply architectural standards and patterns while enabling frequent, incremental improvements to deliver value. Build and maintain strong stakeholder relationships, including third-party suppliers and internal teams, ensuring alignment between a technical and non-technical audience. Champion innovation by exploring and evaluating AI-driven opportunities, identifying use cases that enhance colleague experience. Your Profile Essential skills/knowledge/experience: Analyse and clearly articulate issues, dependencies, and recommendations to stakeholders. Contribute to technical design risks and drive them through to resolution. Assess software and infrastructure risks and recommend remediation options. Conduct research and trend analysis to inform architectural choices and shape strategic direction. Hands-on experience with Jira and Confluence for effective collaboration and delivery tracking. Practical experience with major cloud platforms (GCP and Azure), leveraging their capabilities to design scalable solutions. Comfortable creating and discussing solution designs with both engineers and business stakeholders. Proven ability (or readiness) to introduce AI capabilities into enterprise solutions, balancing innovation with compliance and security.
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Aug 25, 2026
Full time
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Opus Recruitment Solutions Ltd
Shiremoor, Tyne And Wear
Solution Architect (Contract) Location: Hybrid 3 days onsite/week (Sheffield, Leeds, Manchester, Manchester, Blackpool, Birmingham, Newcastle) Contract: 6 Months Opportunity We are supporting a major UK Government programme seeking an experienced Solution Architect to lead the design and delivery of enterprise-scale solutions across business-critical functions including People, Finance, Commercial and Estates. This is an excellent opportunity to join a high-profile transformation programme where you will shape technical strategy, design modern cloud-based solutions, and work closely with senior stakeholders, engineering teams, and delivery partners. Key Responsibilities Design end-to-end technical solutions that align with business requirements and enterprise architecture standards. Lead architecture design for large-scale enterprise systems and transformation initiatives. Evaluate, select, and implement SaaS products and services. Design and govern solutions using microservices, APIs, event-driven architectures, and file-based integrations. Produce architecture artefacts, solution designs, and technical documentation for a range of audiences. Work closely with engineering and delivery teams to ensure successful implementation. Drive the adoption of architecture best practices, patterns, and standards. Identify and reduce technical debt while improving long-term platform sustainability. Develop technical roadmaps and present solutions at architecture governance forums. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Collaborate with business and technology leaders to deliver value-for-money solutions. Essential Experience Proven experience working as a Solution Architect within large and complex organisations. Extensive experience selecting and implementing Software as a Service (SaaS) solutions. Strong expertise in: Microservices Architecture API Design and Integration Event-Driven Architecture File-Based Data Transfers and Integration Patterns Experience designing solutions within public cloud environments (AWS, Azure and/or GCP). Strong understanding of enterprise architecture principles and governance. Experience creating architecture diagrams, solution views, and technical documentation. Demonstrable experience leading architecture on enterprise-scale programmes. Strong stakeholder management skills with the ability to influence senior leadership. Excellent communication and presentation skills. Desirable Experience Experience delivering solutions across People (HR), Finance, Commercial, or Estates domains. Experience working within Government or highly regulated environments. Familiarity with architecture frameworks and governance processes.
Aug 25, 2026
Full time
Solution Architect (Contract) Location: Hybrid 3 days onsite/week (Sheffield, Leeds, Manchester, Manchester, Blackpool, Birmingham, Newcastle) Contract: 6 Months Opportunity We are supporting a major UK Government programme seeking an experienced Solution Architect to lead the design and delivery of enterprise-scale solutions across business-critical functions including People, Finance, Commercial and Estates. This is an excellent opportunity to join a high-profile transformation programme where you will shape technical strategy, design modern cloud-based solutions, and work closely with senior stakeholders, engineering teams, and delivery partners. Key Responsibilities Design end-to-end technical solutions that align with business requirements and enterprise architecture standards. Lead architecture design for large-scale enterprise systems and transformation initiatives. Evaluate, select, and implement SaaS products and services. Design and govern solutions using microservices, APIs, event-driven architectures, and file-based integrations. Produce architecture artefacts, solution designs, and technical documentation for a range of audiences. Work closely with engineering and delivery teams to ensure successful implementation. Drive the adoption of architecture best practices, patterns, and standards. Identify and reduce technical debt while improving long-term platform sustainability. Develop technical roadmaps and present solutions at architecture governance forums. Communicate complex technical concepts clearly to both technical and non-technical stakeholders. Collaborate with business and technology leaders to deliver value-for-money solutions. Essential Experience Proven experience working as a Solution Architect within large and complex organisations. Extensive experience selecting and implementing Software as a Service (SaaS) solutions. Strong expertise in: Microservices Architecture API Design and Integration Event-Driven Architecture File-Based Data Transfers and Integration Patterns Experience designing solutions within public cloud environments (AWS, Azure and/or GCP). Strong understanding of enterprise architecture principles and governance. Experience creating architecture diagrams, solution views, and technical documentation. Demonstrable experience leading architecture on enterprise-scale programmes. Strong stakeholder management skills with the ability to influence senior leadership. Excellent communication and presentation skills. Desirable Experience Experience delivering solutions across People (HR), Finance, Commercial, or Estates domains. Experience working within Government or highly regulated environments. Familiarity with architecture frameworks and governance processes.
Job Title: Lead SharePoint Developer Location: Durrington, Worthing (Flexible/Hybrid) Contract Type: Permanent Hours: 37 Salary: From £60,000 based on skills and experience About the role: This is a fantastic opportunity to lead the evolution of our digital workplace for over 3,000 colleagues. As our SharePoint Development Lead, you'll shape the future of collaboration, content governance, and user experience across SharePoint Online and Microsoft 365. You'll head up a small, skilled SharePoint development team within our Content and Collaboration function, driving modern, secure, user-centred solutions that transform how the business works, shares, and communicates. What you will be responsible for: You'll be the strategic and technical lead for all SharePoint development, ensuring we deliver solutions that are scalable, secure, and brilliantly designed. Typical responsibilities include: Leading the design, build and deployment of SharePoint Online sites, structures, and digital experiences. Managing and mentoring a team of SharePoint developers, driving quality and continuous improvement. Working with business stakeholders to translate requirements into technical solutions that deliver real value. Driving ECM best practice, from metadata standards to content lifecycle and user adoption. Providing technical leadership across ECM architecture, integrations, performance improvements, and migrations. Ensuring governance, compliance, and security standards are applied consistently across the M365 environment Collaborating closely on workflow, form, and automation development with our dedicated Power Platform (Power Apps, Power Automate) team Additional role requirements This role incorporates Agile delivery, DevSecOps practices, and ownership of CI/CD pipelines within Azure DevOps. Expected to lead our Content & Collaboration Centre of Excellence, supporting and coaching citizen developers. Occasional out-of-hours work may be required to support high-impact changes or platform updates. What you'll bring to the role: Essential: Proven expertise in SharePoint Online and M365 development, including SPFx, PowerShell, PnP, and the Power Platform. Strong understanding of the software development lifecycle, including Agile, Scrum, and DevSecOps. Experience leading technical teams and delivering enterprise-level digital collaboration solutions. Programming skills across .NET (C#, ASP.NET Core), JavaScript/TypeScript, and frameworks such as React. Experience working with Azure DevOps and cloud-based architectures. Excellent communication skills with the ability to influence stakeholders at all levels. Desirable: Scrum Master or Product Owner certification. Experience in UX, design thinking, or user research within digital product development. Southern Water is at the forefront of transforming Britain's water industry, investing significantly to enhance resilience, sustainability, and service excellence. With £7.8bn planned investment for 2025-30, this is an unparalleled opportunity to join a business committed to delivering a generational shift in the way water services are managed. You will be joining at a time of significant change, working alongside a highly skilled leadership team with a clear vision for the future. We offer an environment where senior professionals can make a meaningful impact, influence major strategic decisions, and drive long-term value creation "At Southern Water, we believe diverse perspectives drive innovation. If you're passionate about making a positive impact and think you can bring value to our team, we'd love to hear from you-even if you don't tick every box. Your unique skills and experiences could be exactly what we need." Our Commitment to Diversity We welcome applicants from all backgrounds, identities, and experiences. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you need reasonable adjustments during the recruitment process, please let us know. Additional information: In line with Southern Water's security requirements, successful candidates will be required to provide evidence of their identity, eligibility to work in the UK, criminal record check (DBS) and verification of their employment and/or education history for the past three years. Appointment to this role is subject to the successful completion of all pre-employment checks, including security vetting. Please note that if a candidate does not meet the required security standards or fails to pass the vetting process, Southern Water reserves the right to withdraw the offer of employment. Some positions may also require higher levels of security vetting, which may involve providing additional documentation.
Aug 25, 2026
Full time
Job Title: Lead SharePoint Developer Location: Durrington, Worthing (Flexible/Hybrid) Contract Type: Permanent Hours: 37 Salary: From £60,000 based on skills and experience About the role: This is a fantastic opportunity to lead the evolution of our digital workplace for over 3,000 colleagues. As our SharePoint Development Lead, you'll shape the future of collaboration, content governance, and user experience across SharePoint Online and Microsoft 365. You'll head up a small, skilled SharePoint development team within our Content and Collaboration function, driving modern, secure, user-centred solutions that transform how the business works, shares, and communicates. What you will be responsible for: You'll be the strategic and technical lead for all SharePoint development, ensuring we deliver solutions that are scalable, secure, and brilliantly designed. Typical responsibilities include: Leading the design, build and deployment of SharePoint Online sites, structures, and digital experiences. Managing and mentoring a team of SharePoint developers, driving quality and continuous improvement. Working with business stakeholders to translate requirements into technical solutions that deliver real value. Driving ECM best practice, from metadata standards to content lifecycle and user adoption. Providing technical leadership across ECM architecture, integrations, performance improvements, and migrations. Ensuring governance, compliance, and security standards are applied consistently across the M365 environment Collaborating closely on workflow, form, and automation development with our dedicated Power Platform (Power Apps, Power Automate) team Additional role requirements This role incorporates Agile delivery, DevSecOps practices, and ownership of CI/CD pipelines within Azure DevOps. Expected to lead our Content & Collaboration Centre of Excellence, supporting and coaching citizen developers. Occasional out-of-hours work may be required to support high-impact changes or platform updates. What you'll bring to the role: Essential: Proven expertise in SharePoint Online and M365 development, including SPFx, PowerShell, PnP, and the Power Platform. Strong understanding of the software development lifecycle, including Agile, Scrum, and DevSecOps. Experience leading technical teams and delivering enterprise-level digital collaboration solutions. Programming skills across .NET (C#, ASP.NET Core), JavaScript/TypeScript, and frameworks such as React. Experience working with Azure DevOps and cloud-based architectures. Excellent communication skills with the ability to influence stakeholders at all levels. Desirable: Scrum Master or Product Owner certification. Experience in UX, design thinking, or user research within digital product development. Southern Water is at the forefront of transforming Britain's water industry, investing significantly to enhance resilience, sustainability, and service excellence. With £7.8bn planned investment for 2025-30, this is an unparalleled opportunity to join a business committed to delivering a generational shift in the way water services are managed. You will be joining at a time of significant change, working alongside a highly skilled leadership team with a clear vision for the future. We offer an environment where senior professionals can make a meaningful impact, influence major strategic decisions, and drive long-term value creation "At Southern Water, we believe diverse perspectives drive innovation. If you're passionate about making a positive impact and think you can bring value to our team, we'd love to hear from you-even if you don't tick every box. Your unique skills and experiences could be exactly what we need." Our Commitment to Diversity We welcome applicants from all backgrounds, identities, and experiences. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, religion, or any other protected characteristic. If you need reasonable adjustments during the recruitment process, please let us know. Additional information: In line with Southern Water's security requirements, successful candidates will be required to provide evidence of their identity, eligibility to work in the UK, criminal record check (DBS) and verification of their employment and/or education history for the past three years. Appointment to this role is subject to the successful completion of all pre-employment checks, including security vetting. Please note that if a candidate does not meet the required security standards or fails to pass the vetting process, Southern Water reserves the right to withdraw the offer of employment. Some positions may also require higher levels of security vetting, which may involve providing additional documentation.
Location London & Kings Langley 3 days in office and 2 days hybrid; travel to group sites around cutovers Purpose Architect a single Microsoft Dynamics 365 Business Central platform for a multi-entity UK group and lead the technical side of the deployment through build, testing and into production. The work runs on two tracks: refine the live BC environment of the entity already on the platform, and design the new build for the businesses still on legacy Dynamics NAV, including the migration strategy that gets them there. Context Centry Services Group comprises four trading businesses in moving, relocation and related services, plus an overseas shared service centre running finance processing on the legacy estate. The largest business runs a heavily customised on-premises NAV 2009 R2 system across finance and operations; one entity's financials are already live on Business Central SaaS in its own tenant, with an Azure Data Factory and Power BI estate around it. The programme consolidates the group onto one BC platform in two phases. Phase one delivers the group chart of accounts, the financial ledgers across the entities and consolidated group reporting in Power BI, targeted at three months subject to validation during mobilisation and discovery. Phase two covers the operational scope (job costing and billing, the integrations to the operational systems that feed the ledgers, and the remaining migrations off the legacy estate) over a further three to six months depending on design and complexity. BC SaaS is the preferred target; validating the final tenant and environment architecture is part of mobilisation. Entity user counts and the integration inventory are being compiled and will be shared with shortlisted candidates. Team and governance The role reports to the Group Head of Finance, IT & Administration, who runs the programme day to day; the sponsor is the group chief executive and progress runs through a steering group. Around the role: a BC consultant-developer recruited in parallel; group IT, which maintains the legacy NAV estate and supports extraction and infrastructure; and finance superusers in each business, who carry UAT, with business superusers joining for phase two. Data cleansing sits with the businesses. Group Finance owns accounting policy, data quality, UAT acceptance and financial sign-off; this role owns the solution design and the technical delivery within that frame. Key responsibilities Own the solution architecture: group chart of accounts, dimension design, company structure, intercompany and consolidation. Bring the live BC entity onto the group design through a controlled migration: a new company on the group chart of accounts, cut over at a period end and reconciled to Group Finance sign-off. Own the migration strategy for the businesses on legacy NAV and deliver it end to end: extraction, transformation, opening balance loads and reconciliations through to Group Finance sign-off. Build hands-on. Lead configuration, test cycles and cutover through each phased go-live alongside a mid-level consultant-developer, who carries the bulk of AL development; this role designs and then delivers, it does not hand drawings to others. Design the integration layer to the group's operational systems and set the development standards: AL extensions only, no base-code modification, and environment, release and upgrade management aligned to BC release waves. Work with finance superusers in each business on process design at the platform boundary; agree what BC does and what stays in the systems feeding it. Coach the consultant-developer and shape the team as it grows, including any third hire at the operational phase (phase two). Design the run model for handover: update cadence, permissions model, environment management and the internal support model, documented and transferred to the permanent support team before contract end. Essential experience Multiple full-cycle Business Central implementations delivered end to end, led from the finance side, including at least one greenfield chart of accounts and dimension design. A strong NAV and C/AL background combined with BC SaaS implementation experience; the legacy estate is heavily customised NAV on-prem and the target is SaaS. Data migration ownership on at least one implementation, from legacy extraction through reconciled opening balances. Multi-company configuration: intercompany, consolidation and group reporting structures. Integration design: APIs and OData, and at least one delivered interface to a non-Microsoft operational system. Working AL knowledge: enough to set extension standards, review all code and write production AL when needed. Power BI against ERP data: able to define the BC data model and reporting architecture and build hands-on where needed; consolidated group reporting lands in Power BI in phase one. Desirable Personally led an end-to-end NAV (or on-prem BC) to BC SaaS migration. Familiarity with the wider Microsoft data estate: Azure Data Factory and data lake patterns. Sector exposure to job-costed or project-based businesses (removals, logistics, construction, field services). Why this role This is an end-user platform role, not a partner consultancy seat, with direct access to the day-to-day decision-maker and clear design authority. The mandate is approved and sponsored by the group's chief executive. The design is mainly greenfield: a new group chart of accounts, a clean company structure, and a phased rollout across the group's trading businesses, with the first go-live targeted within months of joining.
Aug 25, 2026
Full time
Location London & Kings Langley 3 days in office and 2 days hybrid; travel to group sites around cutovers Purpose Architect a single Microsoft Dynamics 365 Business Central platform for a multi-entity UK group and lead the technical side of the deployment through build, testing and into production. The work runs on two tracks: refine the live BC environment of the entity already on the platform, and design the new build for the businesses still on legacy Dynamics NAV, including the migration strategy that gets them there. Context Centry Services Group comprises four trading businesses in moving, relocation and related services, plus an overseas shared service centre running finance processing on the legacy estate. The largest business runs a heavily customised on-premises NAV 2009 R2 system across finance and operations; one entity's financials are already live on Business Central SaaS in its own tenant, with an Azure Data Factory and Power BI estate around it. The programme consolidates the group onto one BC platform in two phases. Phase one delivers the group chart of accounts, the financial ledgers across the entities and consolidated group reporting in Power BI, targeted at three months subject to validation during mobilisation and discovery. Phase two covers the operational scope (job costing and billing, the integrations to the operational systems that feed the ledgers, and the remaining migrations off the legacy estate) over a further three to six months depending on design and complexity. BC SaaS is the preferred target; validating the final tenant and environment architecture is part of mobilisation. Entity user counts and the integration inventory are being compiled and will be shared with shortlisted candidates. Team and governance The role reports to the Group Head of Finance, IT & Administration, who runs the programme day to day; the sponsor is the group chief executive and progress runs through a steering group. Around the role: a BC consultant-developer recruited in parallel; group IT, which maintains the legacy NAV estate and supports extraction and infrastructure; and finance superusers in each business, who carry UAT, with business superusers joining for phase two. Data cleansing sits with the businesses. Group Finance owns accounting policy, data quality, UAT acceptance and financial sign-off; this role owns the solution design and the technical delivery within that frame. Key responsibilities Own the solution architecture: group chart of accounts, dimension design, company structure, intercompany and consolidation. Bring the live BC entity onto the group design through a controlled migration: a new company on the group chart of accounts, cut over at a period end and reconciled to Group Finance sign-off. Own the migration strategy for the businesses on legacy NAV and deliver it end to end: extraction, transformation, opening balance loads and reconciliations through to Group Finance sign-off. Build hands-on. Lead configuration, test cycles and cutover through each phased go-live alongside a mid-level consultant-developer, who carries the bulk of AL development; this role designs and then delivers, it does not hand drawings to others. Design the integration layer to the group's operational systems and set the development standards: AL extensions only, no base-code modification, and environment, release and upgrade management aligned to BC release waves. Work with finance superusers in each business on process design at the platform boundary; agree what BC does and what stays in the systems feeding it. Coach the consultant-developer and shape the team as it grows, including any third hire at the operational phase (phase two). Design the run model for handover: update cadence, permissions model, environment management and the internal support model, documented and transferred to the permanent support team before contract end. Essential experience Multiple full-cycle Business Central implementations delivered end to end, led from the finance side, including at least one greenfield chart of accounts and dimension design. A strong NAV and C/AL background combined with BC SaaS implementation experience; the legacy estate is heavily customised NAV on-prem and the target is SaaS. Data migration ownership on at least one implementation, from legacy extraction through reconciled opening balances. Multi-company configuration: intercompany, consolidation and group reporting structures. Integration design: APIs and OData, and at least one delivered interface to a non-Microsoft operational system. Working AL knowledge: enough to set extension standards, review all code and write production AL when needed. Power BI against ERP data: able to define the BC data model and reporting architecture and build hands-on where needed; consolidated group reporting lands in Power BI in phase one. Desirable Personally led an end-to-end NAV (or on-prem BC) to BC SaaS migration. Familiarity with the wider Microsoft data estate: Azure Data Factory and data lake patterns. Sector exposure to job-costed or project-based businesses (removals, logistics, construction, field services). Why this role This is an end-user platform role, not a partner consultancy seat, with direct access to the day-to-day decision-maker and clear design authority. The mandate is approved and sponsored by the group's chief executive. The design is mainly greenfield: a new group chart of accounts, a clean company structure, and a phased rollout across the group's trading businesses, with the first go-live targeted within months of joining.
Location London & Kings Langley 3 days in office and 2 days hybrid; travel to group sites around cutovers Purpose Build and configure Microsoft Dynamics 365 Business Central across a multi-entity UK group, working to an architecture set by a hands-on lead solution architect. Carry configuration, data loads, interfaces and testing through phased go-lives, provide hypercare at each cutover, and hand the platform to the permanent support team before contract end. Context Centry Services Group comprises four trading businesses in moving, relocation and related services, plus an overseas shared service centre running finance processing on the legacy estate. The largest business runs a heavily customised on-premises NAV 2009 R2 system across finance and operations; one entity's financials are already live on Business Central SaaS in its own tenant, with an Azure Data Factory and Power BI estate around it. The programme consolidates the group onto one BC platform in two phases. Phase one delivers the group chart of accounts, the financial ledgers across the entities and consolidated group reporting in Power BI, targeted at three months subject to validation during mobilisation and discovery. Phase two covers the operational scope (job costing and billing, the integrations to the operational systems that feed the ledgers, and the remaining migrations off the legacy estate) over a further three to six months depending on design and complexity. BC SaaS is the preferred target; the lead solution architect validates the final tenant and environment architecture during mobilisation. Entity user counts and the integration inventory are being compiled and will be shared with shortlisted candidates. Team and governance The role reports to the Group Head of Finance, IT & Administration and takes day-to-day direction from the lead solution architect, recruited in parallel. Around the role: group IT, which maintains the legacy NAV estate and supports extraction and infrastructure, and finance superusers in each business, who carry UAT, with business superusers joining for phase two. Data cleansing sits with the businesses. Group Finance owns accounting policy, data quality, UAT acceptance and financial sign-off. Key responsibilities Configure BC companies from the group template: posting setups, number series, journals, approval workflows and user permissions. Run data loads: configuration packages, master data, opening balances, and the reconciliation work that proves them through to Group Finance sign-off. Carry the bulk of AL development to the standards set by the lead solution architect: interim interfaces to the legacy NAV estate, integrations to the operational systems, and extensions where standard BC falls short. Run test cycles to the lead solution architect's plan: prepare scripts, support superuser-led UAT in each business, fix defects and retest. Support cutovers in person: training, floor-walking and first-week support at each go-live. Provide hypercare after each go-live and build the handover: support documentation, interface runbooks and knowledge transfer to the permanent support team before contract end. Essential experience At least two years' hands-on Business Central delivery, with practical competence in both finance configuration and AL development; candidates may lean functional or technical but must work independently in both. BC finance configuration: posting groups and setups, dimensions, journals, approvals, permissions and the core sales, purchase and finance flows. Production AL delivery: VS Code, extensions and events, APIs, OData or web services, debugging, source control and controlled deployment through sandbox and production environments. At least one full implementation or major rollout from build through go-live. Hands-on data migration using configuration packages; RapidStart experience from NAV or earlier BC versions counts. Able to explain technical and data issues clearly to finance users, in person and in writing. Desirable A NAV and C/AL background, including experience transitioning legacy customisations to AL extensions. A delivered interface to a non-Microsoft operational system. Power BI report building against BC data. AP automation ISVs (Continia or similar). Jobs, projects or costing module experience. Why this role This is an end-user platform role, not a partner consultancy seat. The mandate is approved and sponsored by the group's chief executive, the architecture is set by a hands-on lead, and the work is build, load, test and cutover from week one. The rollout is phased across the group's trading businesses, with the first go-live targeted within months of joining.
Aug 25, 2026
Full time
Location London & Kings Langley 3 days in office and 2 days hybrid; travel to group sites around cutovers Purpose Build and configure Microsoft Dynamics 365 Business Central across a multi-entity UK group, working to an architecture set by a hands-on lead solution architect. Carry configuration, data loads, interfaces and testing through phased go-lives, provide hypercare at each cutover, and hand the platform to the permanent support team before contract end. Context Centry Services Group comprises four trading businesses in moving, relocation and related services, plus an overseas shared service centre running finance processing on the legacy estate. The largest business runs a heavily customised on-premises NAV 2009 R2 system across finance and operations; one entity's financials are already live on Business Central SaaS in its own tenant, with an Azure Data Factory and Power BI estate around it. The programme consolidates the group onto one BC platform in two phases. Phase one delivers the group chart of accounts, the financial ledgers across the entities and consolidated group reporting in Power BI, targeted at three months subject to validation during mobilisation and discovery. Phase two covers the operational scope (job costing and billing, the integrations to the operational systems that feed the ledgers, and the remaining migrations off the legacy estate) over a further three to six months depending on design and complexity. BC SaaS is the preferred target; the lead solution architect validates the final tenant and environment architecture during mobilisation. Entity user counts and the integration inventory are being compiled and will be shared with shortlisted candidates. Team and governance The role reports to the Group Head of Finance, IT & Administration and takes day-to-day direction from the lead solution architect, recruited in parallel. Around the role: group IT, which maintains the legacy NAV estate and supports extraction and infrastructure, and finance superusers in each business, who carry UAT, with business superusers joining for phase two. Data cleansing sits with the businesses. Group Finance owns accounting policy, data quality, UAT acceptance and financial sign-off. Key responsibilities Configure BC companies from the group template: posting setups, number series, journals, approval workflows and user permissions. Run data loads: configuration packages, master data, opening balances, and the reconciliation work that proves them through to Group Finance sign-off. Carry the bulk of AL development to the standards set by the lead solution architect: interim interfaces to the legacy NAV estate, integrations to the operational systems, and extensions where standard BC falls short. Run test cycles to the lead solution architect's plan: prepare scripts, support superuser-led UAT in each business, fix defects and retest. Support cutovers in person: training, floor-walking and first-week support at each go-live. Provide hypercare after each go-live and build the handover: support documentation, interface runbooks and knowledge transfer to the permanent support team before contract end. Essential experience At least two years' hands-on Business Central delivery, with practical competence in both finance configuration and AL development; candidates may lean functional or technical but must work independently in both. BC finance configuration: posting groups and setups, dimensions, journals, approvals, permissions and the core sales, purchase and finance flows. Production AL delivery: VS Code, extensions and events, APIs, OData or web services, debugging, source control and controlled deployment through sandbox and production environments. At least one full implementation or major rollout from build through go-live. Hands-on data migration using configuration packages; RapidStart experience from NAV or earlier BC versions counts. Able to explain technical and data issues clearly to finance users, in person and in writing. Desirable A NAV and C/AL background, including experience transitioning legacy customisations to AL extensions. A delivered interface to a non-Microsoft operational system. Power BI report building against BC data. AP automation ISVs (Continia or similar). Jobs, projects or costing module experience. Why this role This is an end-user platform role, not a partner consultancy seat. The mandate is approved and sponsored by the group's chief executive, the architecture is set by a hands-on lead, and the work is build, load, test and cutover from week one. The rollout is phased across the group's trading businesses, with the first go-live targeted within months of joining.
We are looking for an engineer to play a key role in providing technical, engineering support to Meta's Advertising partners, Customers and clients globally. You will have the opportunity to work together with a global team of Business Support Engineers who are expert in Meta's Adtech to provide proactive and reactive support for partner issues and integrations while partnering with our broad cross functional teams to ensure a high quality for our products and satisfactory experience for our partners and customers. We work directly with Platform and Infrastructure teams to investigate and resolve issues reported by our partners, to properly assess and agree on actions to be taken for necessary fixes and continuous improvements in our products and deployments.As a Business Support Engineer working on Ads at Meta, you will primarily support on Meta's Ads Products but also have the opportunity to work cross functionally in several of our key business areas across Business Messaging, Telecommunications and combine your experience with customer service skills with a product focus to ensure that key insights are communicated to our product teams. We are looking for people who have subject-matter knowledge in managing and maintaining integrations with 3rd-party services, who help foster developer/business relationships, who demonstrate critical thinking and blending systems design with business needs, and who have a desire to improve the support experience of our customers.As a Business Support Engineer, you will understand industry trends, partner solutions/integrations and their implications to our product roadmap. You will work closely with other regional offices and partnership teams to support a broad range of partners across the globe to integrate Meta's Business Products into their offering.Business Support Engineer Responsibilities:Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfactionTroubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering excellenceLeverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindsetBuild, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to productionDevelop performance monitoring systems for partner integrations to ensure high availabilityleverage metrics to proactively identify issues and drive improvements across teamsProvide 24/7 oncall support coverage via rotation schedule (including weekends)Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvementCreate clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externallyDrive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project executionMinimum Qualifications:3+ years of experience as a software engineer or site reliability engineerProven experience as a support engineer, service engineer, or similarBachelor's degree in Computer Science, Engineering, or related technical field experienceExperience in developing, deploying, and operating software in one or more public cloud infrastructures (Azure, GCP, AWS, etc.)Proven experience in API development on cloud-based infrastructuresProficiency in full-stack development with experience in the full web stack, SOAP, and REST API technologies and architecturesExperience in communicating with technical and business audiences and creating technical documentationSolid understanding of IT infrastructures and network protocols on different layers, with demonstrable knowledge of different data exchange formats and protocolsExperience in assessing, analyzing, and resolving operational issues using dataExperience managing multiple concurrent projects and driving initiatives in a cross-functional environmentPreferred Qualifications:Experience working across a global team, solving problems, and designing business operations from scratchExperience in partner-facing or customer-centric engineering rolesProficiency in PHP/Hack and JavaScript/ReactDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience transforming data, model selection/training/optimization, and deployment at scaleExperience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience in the configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems. Experience with large-scale enterprise system developmentDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Aug 25, 2026
Full time
We are looking for an engineer to play a key role in providing technical, engineering support to Meta's Advertising partners, Customers and clients globally. You will have the opportunity to work together with a global team of Business Support Engineers who are expert in Meta's Adtech to provide proactive and reactive support for partner issues and integrations while partnering with our broad cross functional teams to ensure a high quality for our products and satisfactory experience for our partners and customers. We work directly with Platform and Infrastructure teams to investigate and resolve issues reported by our partners, to properly assess and agree on actions to be taken for necessary fixes and continuous improvements in our products and deployments.As a Business Support Engineer working on Ads at Meta, you will primarily support on Meta's Ads Products but also have the opportunity to work cross functionally in several of our key business areas across Business Messaging, Telecommunications and combine your experience with customer service skills with a product focus to ensure that key insights are communicated to our product teams. We are looking for people who have subject-matter knowledge in managing and maintaining integrations with 3rd-party services, who help foster developer/business relationships, who demonstrate critical thinking and blending systems design with business needs, and who have a desire to improve the support experience of our customers.As a Business Support Engineer, you will understand industry trends, partner solutions/integrations and their implications to our product roadmap. You will work closely with other regional offices and partnership teams to support a broad range of partners across the globe to integrate Meta's Business Products into their offering.Business Support Engineer Responsibilities:Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfactionTroubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering excellenceLeverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindsetBuild, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to productionDevelop performance monitoring systems for partner integrations to ensure high availabilityleverage metrics to proactively identify issues and drive improvements across teamsProvide 24/7 oncall support coverage via rotation schedule (including weekends)Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvementCreate clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externallyDrive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Develop and share AI/ML expertise, actively coaching and mentoring peers on technical troubleshooting and project executionMinimum Qualifications:3+ years of experience as a software engineer or site reliability engineerProven experience as a support engineer, service engineer, or similarBachelor's degree in Computer Science, Engineering, or related technical field experienceExperience in developing, deploying, and operating software in one or more public cloud infrastructures (Azure, GCP, AWS, etc.)Proven experience in API development on cloud-based infrastructuresProficiency in full-stack development with experience in the full web stack, SOAP, and REST API technologies and architecturesExperience in communicating with technical and business audiences and creating technical documentationSolid understanding of IT infrastructures and network protocols on different layers, with demonstrable knowledge of different data exchange formats and protocolsExperience in assessing, analyzing, and resolving operational issues using dataExperience managing multiple concurrent projects and driving initiatives in a cross-functional environmentPreferred Qualifications:Experience working across a global team, solving problems, and designing business operations from scratchExperience in partner-facing or customer-centric engineering rolesProficiency in PHP/Hack and JavaScript/ReactDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience transforming data, model selection/training/optimization, and deployment at scaleExperience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience in the configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems. Experience with large-scale enterprise system developmentDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Microsoft Fabric Data Engineer SQL, Python, PySpark Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models Microsoft Fabric Data Engineer - Contract (Hybrid 2-3 days/wk) Greater Manchester Our Financial Services client has a contract vacancy for an experienced Microsoft Fabric Data Engineer to join their Data & Business Architecture team. This is a hands-on role supporting the operation, development and continuous improvement of a Microsoft Fabric data platform. You'll work across data engineering, platform development, DevOps, CI/CD and data operations, helping to improve the performance, resilience and automation of the platform. This is an excellent opportunity for a hands-on Data Engineer to play a key role in developing and improving a modern Microsoft Fabric data platform, while contributing to automation, DevOps and a scalable data operating model. Role Develop, maintain and optimise Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models. Implement platform improvements arising from a Microsoft Fabric Health Check. Support data ingestion, transformation, validation and integration across internal and external data sources. Troubleshoot pipeline and platform issues and carry out root-cause analysis and performance optimisation. Enhance CI/CD, Git and Azure DevOps processes across development, test and production environments. Support data quality, reconciliation, vendor feeds and critical business reporting. Identify opportunities to automate manual processes and improve data quality and operational efficiency. Develop technical documentation, runbooks and support procedures. Skills & Experience Strong hands-on experience with Microsoft Fabric. Excellent SQL, Python and PySpark skills. Experience with Fabric Lakehouse, Warehouse, Pipelines and semantic models. Practical experience of Git, Azure DevOps and CI/CD. Strong troubleshooting and analytical skills, with experience resolving production data issues. Experience working with APIs, files, databases and third-party data providers. Understanding of data governance, security, quality and reconciliation. Excellent communication skills and the ability to work effectively with technical and business stakeholders. Experience in financial services or another regulated environment would be advantageous, as would Microsoft Fabric certification. Please get in touch to discuss the role, contract details and next steps.
Aug 25, 2026
Full time
Microsoft Fabric Data Engineer SQL, Python, PySpark Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models Microsoft Fabric Data Engineer - Contract (Hybrid 2-3 days/wk) Greater Manchester Our Financial Services client has a contract vacancy for an experienced Microsoft Fabric Data Engineer to join their Data & Business Architecture team. This is a hands-on role supporting the operation, development and continuous improvement of a Microsoft Fabric data platform. You'll work across data engineering, platform development, DevOps, CI/CD and data operations, helping to improve the performance, resilience and automation of the platform. This is an excellent opportunity for a hands-on Data Engineer to play a key role in developing and improving a modern Microsoft Fabric data platform, while contributing to automation, DevOps and a scalable data operating model. Role Develop, maintain and optimise Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models. Implement platform improvements arising from a Microsoft Fabric Health Check. Support data ingestion, transformation, validation and integration across internal and external data sources. Troubleshoot pipeline and platform issues and carry out root-cause analysis and performance optimisation. Enhance CI/CD, Git and Azure DevOps processes across development, test and production environments. Support data quality, reconciliation, vendor feeds and critical business reporting. Identify opportunities to automate manual processes and improve data quality and operational efficiency. Develop technical documentation, runbooks and support procedures. Skills & Experience Strong hands-on experience with Microsoft Fabric. Excellent SQL, Python and PySpark skills. Experience with Fabric Lakehouse, Warehouse, Pipelines and semantic models. Practical experience of Git, Azure DevOps and CI/CD. Strong troubleshooting and analytical skills, with experience resolving production data issues. Experience working with APIs, files, databases and third-party data providers. Understanding of data governance, security, quality and reconciliation. Excellent communication skills and the ability to work effectively with technical and business stakeholders. Experience in financial services or another regulated environment would be advantageous, as would Microsoft Fabric certification. Please get in touch to discuss the role, contract details and next steps.
Infrastructure, Cloud & Cyber Lead - Principal / Director level 3 Months London/Hybrid - 1-2 Days per week on site (Apply online only) per day (Inside IR35) Proven infrastructure separation, consolidation or M&A integration experience. Infrastructure and hosting strategy. Azure/AWS/GCP architecture and migration. Microsoft 365, identity, workplace and network integration. Day 1 readiness and managed-service transition. Strong cybersecurity experience would be highly advantageous For the role, M&A experience is particularly important. We need senior individuals who can operate credibly with executives, advisors and PE stakeholders, facilitate architecture decisions, and move quickly from incomplete diligence information to pragmatic designs and executable plans. Facilities management, building services or field-services experience would be beneficial, but seniority, M&A integration experience and architecture leadership are more important than sector-specific experience. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Aug 24, 2026
Contractor
Infrastructure, Cloud & Cyber Lead - Principal / Director level 3 Months London/Hybrid - 1-2 Days per week on site (Apply online only) per day (Inside IR35) Proven infrastructure separation, consolidation or M&A integration experience. Infrastructure and hosting strategy. Azure/AWS/GCP architecture and migration. Microsoft 365, identity, workplace and network integration. Day 1 readiness and managed-service transition. Strong cybersecurity experience would be highly advantageous For the role, M&A experience is particularly important. We need senior individuals who can operate credibly with executives, advisors and PE stakeholders, facilitate architecture decisions, and move quickly from incomplete diligence information to pragmatic designs and executable plans. Facilities management, building services or field-services experience would be beneficial, but seniority, M&A integration experience and architecture leadership are more important than sector-specific experience. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Data Architect Location: Worcestershire or Hampshire - hybrid, 2 days per week onsite Type: Permanent We're supporting a leading technology organisation looking to appoint a Data Architect to define and evolve its enterprise-wide data architecture, supporting product development, analytics and wider business transformation. The role Define enterprise data architecture principles, standards and roadmaps. Design conceptual, logical and physical data models. Shape the use of data platforms, integration and data governance. Support large-scale migration from heritage systems to modern cloud platforms. Provide architectural direction across data and engineering teams. What we're looking for Strong enterprise Data Architecture experience. Databricks - essential. Cloud data platform experience; Azure desirable . Strong knowledge of batch, streaming, event-driven and medallion architectures. Advanced data modelling skills. Experience with complex, long-term data migrations highly desirable. Insurance experience beneficial, but not essential. A great opportunity to take ownership of enterprise data architecture within an organisation going through significant technology and data transformation.
Aug 24, 2026
Full time
Data Architect Location: Worcestershire or Hampshire - hybrid, 2 days per week onsite Type: Permanent We're supporting a leading technology organisation looking to appoint a Data Architect to define and evolve its enterprise-wide data architecture, supporting product development, analytics and wider business transformation. The role Define enterprise data architecture principles, standards and roadmaps. Design conceptual, logical and physical data models. Shape the use of data platforms, integration and data governance. Support large-scale migration from heritage systems to modern cloud platforms. Provide architectural direction across data and engineering teams. What we're looking for Strong enterprise Data Architecture experience. Databricks - essential. Cloud data platform experience; Azure desirable . Strong knowledge of batch, streaming, event-driven and medallion architectures. Advanced data modelling skills. Experience with complex, long-term data migrations highly desirable. Insurance experience beneficial, but not essential. A great opportunity to take ownership of enterprise data architecture within an organisation going through significant technology and data transformation.
Data Architect Location: Worcestershire or Hampshire - hybrid, 2 days per week onsite Type: Permanent We're supporting a leading technology organisation looking to appoint a Data Architect to define and evolve its enterprise-wide data architecture, supporting product development, analytics and wider business transformation. The role Define enterprise data architecture principles, standards and roadmaps. Design conceptual, logical and physical data models. Shape the use of data platforms, integration and data governance. Support large-scale migration from heritage systems to modern cloud platforms. Provide architectural direction across data and engineering teams. What we're looking for Strong enterprise Data Architecture experience. Databricks - essential. Cloud data platform experience; Azure desirable . Strong knowledge of batch, streaming, event-driven and medallion architectures. Advanced data modelling skills. Experience with complex, long-term data migrations highly desirable. Insurance experience beneficial, but not essential. A great opportunity to take ownership of enterprise data architecture within an organisation going through significant technology and data transformation.
Aug 24, 2026
Full time
Data Architect Location: Worcestershire or Hampshire - hybrid, 2 days per week onsite Type: Permanent We're supporting a leading technology organisation looking to appoint a Data Architect to define and evolve its enterprise-wide data architecture, supporting product development, analytics and wider business transformation. The role Define enterprise data architecture principles, standards and roadmaps. Design conceptual, logical and physical data models. Shape the use of data platforms, integration and data governance. Support large-scale migration from heritage systems to modern cloud platforms. Provide architectural direction across data and engineering teams. What we're looking for Strong enterprise Data Architecture experience. Databricks - essential. Cloud data platform experience; Azure desirable . Strong knowledge of batch, streaming, event-driven and medallion architectures. Advanced data modelling skills. Experience with complex, long-term data migrations highly desirable. Insurance experience beneficial, but not essential. A great opportunity to take ownership of enterprise data architecture within an organisation going through significant technology and data transformation.
Ready to Own More Than the Ticket Queue? You've built solid 3rd Line infrastructure experience. You know how to get to the bottom of complex technical problems, understand the importance of security and you're ready for more ownership. This could be that step. Join Bulk , one of Europe's leading active nutrition brands, and take ownership across the infrastructure and cyber security environment supporting our fast-moving digital business. You'll work across cloud, networks, endpoints and security, strengthen our email security, help lead our upcoming Cyber Essentials project and tackle the security challenges that come with our rapidly evolving use of AI. We're ahead of the curve when it comes to building with AI, so you'll get extensive exposure to new tools, integrations and systems - with the freedom to get involved in other technical projects as the business evolves. If you're a strong 3rd Line Engineer with cyber security credentials who's ready to broaden your remit and take genuine ownership, we'd love to hear from you. The Role at a Glance IT Infrastructure & Cyber Security Engineer Colchester, Essex Hybrid - 3 Days Office / 2 Days Home Occasional out-of-hours working and travel to London will be required. Competitive Salary + Excellent Benefits Full Time Permanent Focus: Infrastructure Cyber Security Cloud AI Enablement Your Background / Skills: 3rd Line Engineering, IT Infrastructure, Cyber Security, Azure, Google Workspace, Networking, CrowdStrike, Cisco, VMware vSphere, Windows Server, Jamf, Intune, Incident Response, Cyber Essentials, AI Tooling Who We Are Bulk is on an incredible journey, with a mission to evolve from a manufacturing-led retailer into a destination brand for active nutrition. We're shaking up the sports nutrition industry through innovative products, disruptive marketing and bold digital thinking that encourages people to see our brand differently. We want passionate risk-takers. People who challenge our thinking, live and breathe digital and aren't afraid to find a better way of doing things. And as our technology continues to evolve - particularly through AI - we need the infrastructure and security behind it to evolve just as quickly. The Opportunity As our IT Infrastructure & Cyber Security Engineer, you'll take ownership of Bulk's infrastructure and cyber security environment, supported by our IT Service Desk Team Lead and wider team. This is a broad, hands-on technical role with some clear priorities. You'll help upgrade our email security, manage the security aspects of AI integration and take a leading role in our Cyber Essentials project next year. You'll also oversee infrastructure, security tooling, incident response, budgeting and contracting, while becoming a Tier 3 escalation point for complex issues that need deeper technical expertise. And we're not expecting you to walk through the door knowing every technology on our list. We're looking for someone with strong infrastructure foundations and genuine cyber security capability who can demonstrate experience across roughly 80% of our technical environment, with the curiosity and ability to pick up the rest. What You'll Be Doing Infrastructure • Manage and maintain Bulk s on-premise and cloud infrastructure, including Azure, Google Workspace, networks, firewalls and VPNs. • Ensure systems are secure, reliable, resilient and up to date. • Lead infrastructure projects from planning through to deployment, including budgets and contracts. • Provide Tier 3 support for complex issues and maintain clear technical documentation and handovers. • Support wider technical projects as business requirements evolve. Cyber Security • Develop and improve Bulk s security environment, with particular focus on email security. • Monitor, investigate and respond to security threats, incidents and data breaches. • Manage and optimise security technologies including SIEM, SOAR, EDR/MDR/XDR, CASB, ZTNA and SASE. • Lead Cyber Essentials activity and support wider compliance, including ISO 27001. • Assess vendor security and work with stakeholders to implement secure technology solutions. AI Tooling & Security • Support the secure adoption and scaling of AI tools across Bulk. • Manage AI platforms including Claude Code, GitHub Copilot, Codex-style tools, MCP servers, integrations and connectors. • Own user access, permissions and governance, applying least-privilege principles. • Support teams onboarding new AI technologies, balancing innovation and productivity with security and compliance. • Develop appropriate controls as agentic AI, MCP and connector-based technologies evolve. About You You're probably already operating at strong 3rd Line Engineer level and looking for the opportunity to take broader ownership across infrastructure and cyber security. You enjoy getting hands-on with technology, but you're also interested in the bigger picture - resilience, security, risk, projects and how technology can enable the business to move faster. You don't need to tick every technology box. Breadth, strong foundations and the ability to learn matter here. You'll likely bring: • Around 2-3 years' experience in a similar role, operating at 3rd Line Engineer level or equivalent. • At least one cyber security certification. • Hands-on experience across approximately 80% of the technologies and environments outlined within this advert. • Strong infrastructure experience spanning cloud and on-premise environments. • Good working knowledge of Azure, Google Workspace, networking, endpoint management and security. • Experience across technologies such as CrowdStrike, Cisco, VMware vSphere, Windows Server, Mac/Windows, Jamf, Intune, Automox and VPNs. • Strong security monitoring, incident response and threat-analysis knowledge, including IOC investigation and remediation. • Experience or knowledge of security frameworks and compliance, ideally including Cyber Essentials and ISO 27001. • The confidence and technical capability to handle complex Tier 3 escalations. • Strong problem-solving skills and a proactive approach to improving infrastructure and security. • Excellent communication skills and the confidence to work with colleagues, suppliers and senior leadership. • Willingness to undertake occasional out-of-hours work and travel to London. Even Better If You Bring • Hands-on experience administering AI coding or agent tools, including Claude Code, GitHub Copilot or Codex. • Experience configuring MCP servers, connectors, permissions and access controls. • Familiarity with emerging agentic AI infrastructure and its associated security considerations. • Experience working with Netskope. • Hands-on Netskope CASB/SSE experience covering areas such as SSL/TLS inspection, DLP, Zero Trust architecture, CASB policy design and SCIM-based provisioning. • ITIL or project management certification such as PRINCE2. • Additional cyber security certifications such as CISSP, CISM or CompTIA. Why Join Bulk ? This is a great opportunity if you're ready to move beyond traditional 3rd Line support and build broader experience across infrastructure, cyber security and AI. You'll have genuine ownership, support from the wider IT team and exposure to a broad technology landscape within a business that's actively embracing new ways of working. Because Bulk is already pushing ahead with AI, you'll also be solving security and infrastructure challenges that many businesses haven't encountered yet. You'll also enjoy: • Monthly Bulk Bank Benefits Allowance, including subsidised gym membership. • 60% discount on Bulk products. • Birthday day off. • PerkBox subscription. • Flexi Start. • Optional additional annual leave. • Teammate pension scheme. • Life Assurance. • Medicash. • Volunteering day. • Cycle to Work Scheme. • Enhanced maternity and paternity leave. • Workplace nursery scheme. • Fully stocked Bulk Pantry. • Happy Hour drinks fridge on Thursdays and Fridays. • Summer working hours. • Hybrid working - 3 days in the Colchester office / 2 days from home. Your Experience / Background / Previous Roles May Include 3rd Line Engineer, Senior 3rd Line Engineer, Infrastructure Engineer, IT Infrastructure Engineer, Infrastructure & Security Engineer, IT Security Engineer, Systems & Security Engineer, Senior IT Engineer, Cloud Infrastructure Engineer, Cyber Security Engineer or Infrastructure Support Engineer. Apply Now If you've built strong 3rd Line foundations and you're ready for a role where you can take genuine ownership across infrastructure, cyber security and emerging AI technology, we'd love to hear from you. Bring your technical breadth, security mindset and curiosity about what's coming next - and help build the resilient, secure technology foundation behind Bulk's continued growth. Bulk is an equal opportunities employer and is committed to building a diverse and inclusive team. We welcome applications regardless of age, disability, race, gender, religion, sexual orientation, education, neurodiversity or any other protected characteristic. Application notice We take your privacy seriously . click apply for full job details
Aug 24, 2026
Full time
Ready to Own More Than the Ticket Queue? You've built solid 3rd Line infrastructure experience. You know how to get to the bottom of complex technical problems, understand the importance of security and you're ready for more ownership. This could be that step. Join Bulk , one of Europe's leading active nutrition brands, and take ownership across the infrastructure and cyber security environment supporting our fast-moving digital business. You'll work across cloud, networks, endpoints and security, strengthen our email security, help lead our upcoming Cyber Essentials project and tackle the security challenges that come with our rapidly evolving use of AI. We're ahead of the curve when it comes to building with AI, so you'll get extensive exposure to new tools, integrations and systems - with the freedom to get involved in other technical projects as the business evolves. If you're a strong 3rd Line Engineer with cyber security credentials who's ready to broaden your remit and take genuine ownership, we'd love to hear from you. The Role at a Glance IT Infrastructure & Cyber Security Engineer Colchester, Essex Hybrid - 3 Days Office / 2 Days Home Occasional out-of-hours working and travel to London will be required. Competitive Salary + Excellent Benefits Full Time Permanent Focus: Infrastructure Cyber Security Cloud AI Enablement Your Background / Skills: 3rd Line Engineering, IT Infrastructure, Cyber Security, Azure, Google Workspace, Networking, CrowdStrike, Cisco, VMware vSphere, Windows Server, Jamf, Intune, Incident Response, Cyber Essentials, AI Tooling Who We Are Bulk is on an incredible journey, with a mission to evolve from a manufacturing-led retailer into a destination brand for active nutrition. We're shaking up the sports nutrition industry through innovative products, disruptive marketing and bold digital thinking that encourages people to see our brand differently. We want passionate risk-takers. People who challenge our thinking, live and breathe digital and aren't afraid to find a better way of doing things. And as our technology continues to evolve - particularly through AI - we need the infrastructure and security behind it to evolve just as quickly. The Opportunity As our IT Infrastructure & Cyber Security Engineer, you'll take ownership of Bulk's infrastructure and cyber security environment, supported by our IT Service Desk Team Lead and wider team. This is a broad, hands-on technical role with some clear priorities. You'll help upgrade our email security, manage the security aspects of AI integration and take a leading role in our Cyber Essentials project next year. You'll also oversee infrastructure, security tooling, incident response, budgeting and contracting, while becoming a Tier 3 escalation point for complex issues that need deeper technical expertise. And we're not expecting you to walk through the door knowing every technology on our list. We're looking for someone with strong infrastructure foundations and genuine cyber security capability who can demonstrate experience across roughly 80% of our technical environment, with the curiosity and ability to pick up the rest. What You'll Be Doing Infrastructure • Manage and maintain Bulk s on-premise and cloud infrastructure, including Azure, Google Workspace, networks, firewalls and VPNs. • Ensure systems are secure, reliable, resilient and up to date. • Lead infrastructure projects from planning through to deployment, including budgets and contracts. • Provide Tier 3 support for complex issues and maintain clear technical documentation and handovers. • Support wider technical projects as business requirements evolve. Cyber Security • Develop and improve Bulk s security environment, with particular focus on email security. • Monitor, investigate and respond to security threats, incidents and data breaches. • Manage and optimise security technologies including SIEM, SOAR, EDR/MDR/XDR, CASB, ZTNA and SASE. • Lead Cyber Essentials activity and support wider compliance, including ISO 27001. • Assess vendor security and work with stakeholders to implement secure technology solutions. AI Tooling & Security • Support the secure adoption and scaling of AI tools across Bulk. • Manage AI platforms including Claude Code, GitHub Copilot, Codex-style tools, MCP servers, integrations and connectors. • Own user access, permissions and governance, applying least-privilege principles. • Support teams onboarding new AI technologies, balancing innovation and productivity with security and compliance. • Develop appropriate controls as agentic AI, MCP and connector-based technologies evolve. About You You're probably already operating at strong 3rd Line Engineer level and looking for the opportunity to take broader ownership across infrastructure and cyber security. You enjoy getting hands-on with technology, but you're also interested in the bigger picture - resilience, security, risk, projects and how technology can enable the business to move faster. You don't need to tick every technology box. Breadth, strong foundations and the ability to learn matter here. You'll likely bring: • Around 2-3 years' experience in a similar role, operating at 3rd Line Engineer level or equivalent. • At least one cyber security certification. • Hands-on experience across approximately 80% of the technologies and environments outlined within this advert. • Strong infrastructure experience spanning cloud and on-premise environments. • Good working knowledge of Azure, Google Workspace, networking, endpoint management and security. • Experience across technologies such as CrowdStrike, Cisco, VMware vSphere, Windows Server, Mac/Windows, Jamf, Intune, Automox and VPNs. • Strong security monitoring, incident response and threat-analysis knowledge, including IOC investigation and remediation. • Experience or knowledge of security frameworks and compliance, ideally including Cyber Essentials and ISO 27001. • The confidence and technical capability to handle complex Tier 3 escalations. • Strong problem-solving skills and a proactive approach to improving infrastructure and security. • Excellent communication skills and the confidence to work with colleagues, suppliers and senior leadership. • Willingness to undertake occasional out-of-hours work and travel to London. Even Better If You Bring • Hands-on experience administering AI coding or agent tools, including Claude Code, GitHub Copilot or Codex. • Experience configuring MCP servers, connectors, permissions and access controls. • Familiarity with emerging agentic AI infrastructure and its associated security considerations. • Experience working with Netskope. • Hands-on Netskope CASB/SSE experience covering areas such as SSL/TLS inspection, DLP, Zero Trust architecture, CASB policy design and SCIM-based provisioning. • ITIL or project management certification such as PRINCE2. • Additional cyber security certifications such as CISSP, CISM or CompTIA. Why Join Bulk ? This is a great opportunity if you're ready to move beyond traditional 3rd Line support and build broader experience across infrastructure, cyber security and AI. You'll have genuine ownership, support from the wider IT team and exposure to a broad technology landscape within a business that's actively embracing new ways of working. Because Bulk is already pushing ahead with AI, you'll also be solving security and infrastructure challenges that many businesses haven't encountered yet. You'll also enjoy: • Monthly Bulk Bank Benefits Allowance, including subsidised gym membership. • 60% discount on Bulk products. • Birthday day off. • PerkBox subscription. • Flexi Start. • Optional additional annual leave. • Teammate pension scheme. • Life Assurance. • Medicash. • Volunteering day. • Cycle to Work Scheme. • Enhanced maternity and paternity leave. • Workplace nursery scheme. • Fully stocked Bulk Pantry. • Happy Hour drinks fridge on Thursdays and Fridays. • Summer working hours. • Hybrid working - 3 days in the Colchester office / 2 days from home. Your Experience / Background / Previous Roles May Include 3rd Line Engineer, Senior 3rd Line Engineer, Infrastructure Engineer, IT Infrastructure Engineer, Infrastructure & Security Engineer, IT Security Engineer, Systems & Security Engineer, Senior IT Engineer, Cloud Infrastructure Engineer, Cyber Security Engineer or Infrastructure Support Engineer. Apply Now If you've built strong 3rd Line foundations and you're ready for a role where you can take genuine ownership across infrastructure, cyber security and emerging AI technology, we'd love to hear from you. Bring your technical breadth, security mindset and curiosity about what's coming next - and help build the resilient, secure technology foundation behind Bulk's continued growth. Bulk is an equal opportunities employer and is committed to building a diverse and inclusive team. We welcome applications regardless of age, disability, race, gender, religion, sexual orientation, education, neurodiversity or any other protected characteristic. Application notice We take your privacy seriously . click apply for full job details
Job Description Job Role: Guidewire Claims Business Architect Senior Manager (General Insurance) Location: London (with expected travel) Salary: Competitive, plus benefits. Company Background Accenture as a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centres.With 750,000+ people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Accenture is a company that will allow you to learn, grow and advance in an innovative culture that flourishes with shared success, innovative ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. The Opportunity Working within the General Insurance sector of Accenture's Insurance Technology business, you will be working on large scale technology and systems integrations projects. You will be responsible for defining the architectural vision - designing solutions, and defining the integration of various systems and applications - typically anchored around a core Policy Admin or Claims System like Guidewire. This role involves working closely with our clients to understand their business requirements and develop the architectural roadmap. You will play a critical role in ensuring that defined solutions are efficient, scalable, and aligned with business goals. In this role you will: Work with the client stakeholders to define high level application,business and technical blueprint and requirements aligned to the key functional and business capabilities that need to be implemented. Translate complex business requirements from Claims operational stakeholders - including claims handlers, adjusters and management - into clear functional designs and solution specifications. Define which application components are required to implement each of the required functional and business capabilities, which component will be built vs. re-used vs. integrated with, and how. Define how the components of all the applications relate to each other, and how they will support the capability or business area. Understand the capabilities and limitations of the technical components and key domain applications. Define the integration of various systems, applications, and data sources to ensure seamless communication and data flow. Provide Guidewire leadership and guidance to design and development teams, ensuring best practices and standards are followed across development, runtime, and operations architecture. Qualification Key Skills: 3+ years' knowledge and experience of solutioning Guidewire Claims implementations. 5+ years' knowledge and experience of implementing General Insurance Policy Administration & Claims Systems and / or knowledge of integrating insurance systems of record into the wider technology architecture Strong understanding of the property and casualty insurance value chain. Proven experience as Application and solution Architect or similar leadership role, with a strong background in system integration. Ability to provide technical / Guidewire leadership to our teams and our clients both during implementation and RFP responses. Ability to design and develop cost effective solutions and evaluate and propose technical alternatives to resolve business and technology issues. Ability to develop application and technical architecture as new requirements arise. Ability to document and communicate the status of progress against plans, taking corrective action as necessary. Knowledge of integration technologies, tools and architectural patterns including: APIs, microservices, cloud integration platforms, event-driven architecture. Strong analytical and problem-solving skills, with the ability to define complex multi-systems architectures and solutions. Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Ability to work across the wider organisation to collaborate across Strategy & Consulting, Platform Business Groups, Near Shore and Offshore Delivery, Business Process Outsourcing, Technology Outsourcing. Preferred Skills: Modern engineering delivery experience. Knowledge and experience of Scaled agile delivery. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native integration solutions. Knowledge of data integration and ETL (Extract, Transform, Load) processes. Familiarity with DevOps practices and tools for continuous integration and continuous deployment (CI/CD). Relevant certifications in enterprise architecture (e.g., TOGAF) or Guidewire (e.g., ACE - Accredited Configuration Expert). What's in it for you: At Accenture in addition to a competitive basic salary and car allowance, you will also have an extensive benefits package which includes up to 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! For senior roles additional bonus and equity awards are available. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
Aug 24, 2026
Full time
Job Description Job Role: Guidewire Claims Business Architect Senior Manager (General Insurance) Location: London (with expected travel) Salary: Competitive, plus benefits. Company Background Accenture as a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centres.With 750,000+ people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Accenture is a company that will allow you to learn, grow and advance in an innovative culture that flourishes with shared success, innovative ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. The Opportunity Working within the General Insurance sector of Accenture's Insurance Technology business, you will be working on large scale technology and systems integrations projects. You will be responsible for defining the architectural vision - designing solutions, and defining the integration of various systems and applications - typically anchored around a core Policy Admin or Claims System like Guidewire. This role involves working closely with our clients to understand their business requirements and develop the architectural roadmap. You will play a critical role in ensuring that defined solutions are efficient, scalable, and aligned with business goals. In this role you will: Work with the client stakeholders to define high level application,business and technical blueprint and requirements aligned to the key functional and business capabilities that need to be implemented. Translate complex business requirements from Claims operational stakeholders - including claims handlers, adjusters and management - into clear functional designs and solution specifications. Define which application components are required to implement each of the required functional and business capabilities, which component will be built vs. re-used vs. integrated with, and how. Define how the components of all the applications relate to each other, and how they will support the capability or business area. Understand the capabilities and limitations of the technical components and key domain applications. Define the integration of various systems, applications, and data sources to ensure seamless communication and data flow. Provide Guidewire leadership and guidance to design and development teams, ensuring best practices and standards are followed across development, runtime, and operations architecture. Qualification Key Skills: 3+ years' knowledge and experience of solutioning Guidewire Claims implementations. 5+ years' knowledge and experience of implementing General Insurance Policy Administration & Claims Systems and / or knowledge of integrating insurance systems of record into the wider technology architecture Strong understanding of the property and casualty insurance value chain. Proven experience as Application and solution Architect or similar leadership role, with a strong background in system integration. Ability to provide technical / Guidewire leadership to our teams and our clients both during implementation and RFP responses. Ability to design and develop cost effective solutions and evaluate and propose technical alternatives to resolve business and technology issues. Ability to develop application and technical architecture as new requirements arise. Ability to document and communicate the status of progress against plans, taking corrective action as necessary. Knowledge of integration technologies, tools and architectural patterns including: APIs, microservices, cloud integration platforms, event-driven architecture. Strong analytical and problem-solving skills, with the ability to define complex multi-systems architectures and solutions. Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders. Ability to work across the wider organisation to collaborate across Strategy & Consulting, Platform Business Groups, Near Shore and Offshore Delivery, Business Process Outsourcing, Technology Outsourcing. Preferred Skills: Modern engineering delivery experience. Knowledge and experience of Scaled agile delivery. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native integration solutions. Knowledge of data integration and ETL (Extract, Transform, Load) processes. Familiarity with DevOps practices and tools for continuous integration and continuous deployment (CI/CD). Relevant certifications in enterprise architecture (e.g., TOGAF) or Guidewire (e.g., ACE - Accredited Configuration Expert). What's in it for you: At Accenture in addition to a competitive basic salary and car allowance, you will also have an extensive benefits package which includes up to 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! For senior roles additional bonus and equity awards are available. Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
We are seeking a Lead Engineer to head the next generation XiP Compute Service (XCS2) team. The team works across both Java and Python, and significant experience in at least one of these languages is required. In this role you will design, build, and maintain the future engine room of Citi's enterprise-scale XiNG Platform (XiP). You will be working on a Greenfield build of a major new component. The current generation of the product is responsible for 1.5 billion risk calculations at Citi every day. The next generation of the product is expected to double the customer base and bring in huge new workloads. You will work closely with other software engineers, DevOps, and our customers to define technical strategy and ensure the reliable, secure, and scalable operation of the platform. Responsibilities Take a lead in defining the long-term strategic direction of XiP: Apply your experience and skills to develop next generation of the XiP Compute Service - making it faster, utilising resources more efficiently, and scaling to even greater sizes. This means adding new features without impacting platform performance in an undesirable manner; small changes multiplied by millions of calculations carry a high cost. It also means solving hard engineering problems, such as transferring small amounts of data to a huge number of machines with minimal overhead. Collaborate with Stakeholders to Define Platform Capabilities: Partner closely with key business stakeholders, product owners, and end-users to deeply understand their requirements, define the platform's capabilities, and translate business needs into technical specifications and solutions. Drive the implementation of these capabilities, ensuring they align with strategic objectives and deliver maximum business value. An essential skill will be assessing user requirements against the overall strategy of the application - to ensure to maintain a balance between user needs and application philosophy. This will mean explaining to senior clients that some of their requests will not be accepted, and crucially why. Take on the day-to-day leadership of the development team responsible for the next generation of XiP: Lead the team's Agile/Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, to ensure a smooth and effective development workflow. Manage the project backlog, prioritize tasks, and coordinate development efforts to align with the product roadmap and strategic goals. Provide hands on technical leadership, guiding the team in architectural decisions, enforcing coding standards, and performing code reviews to maintain high-quality, robust, and scalable code. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth-oriented team environment, encouraging best practices and continuous learning. Implement the new generation of Citi's Risk Calculation Engine: Participate in the design, development, and implementation of the next version of the XiP Risk Calculation Engine, focusing on understanding and fulfilling the needs of new platform customers. The current generation of the platform regularly parallelizes 250,000 hours of compute into a single 90-minute execution. The new platform needs to maintain this performance while enabling new workloads. Qualifications Professional software development experience with Java or Python. Solid experience with common frameworks and tooling (e.g. Spring, Spring Boot, Quarkus in Java. Or Flask, FastAPI, Pydantic in Python). Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes). Experience designing, building, and maintaining large-scale, distributed systems. Experience with RESTful API design and implementation. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Experience with unit testing, integration testing, and test automation frameworks. Experience working in Agile/Scrum development environments. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group Technology Job Family Applications Development Time Type Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Aug 24, 2026
Full time
We are seeking a Lead Engineer to head the next generation XiP Compute Service (XCS2) team. The team works across both Java and Python, and significant experience in at least one of these languages is required. In this role you will design, build, and maintain the future engine room of Citi's enterprise-scale XiNG Platform (XiP). You will be working on a Greenfield build of a major new component. The current generation of the product is responsible for 1.5 billion risk calculations at Citi every day. The next generation of the product is expected to double the customer base and bring in huge new workloads. You will work closely with other software engineers, DevOps, and our customers to define technical strategy and ensure the reliable, secure, and scalable operation of the platform. Responsibilities Take a lead in defining the long-term strategic direction of XiP: Apply your experience and skills to develop next generation of the XiP Compute Service - making it faster, utilising resources more efficiently, and scaling to even greater sizes. This means adding new features without impacting platform performance in an undesirable manner; small changes multiplied by millions of calculations carry a high cost. It also means solving hard engineering problems, such as transferring small amounts of data to a huge number of machines with minimal overhead. Collaborate with Stakeholders to Define Platform Capabilities: Partner closely with key business stakeholders, product owners, and end-users to deeply understand their requirements, define the platform's capabilities, and translate business needs into technical specifications and solutions. Drive the implementation of these capabilities, ensuring they align with strategic objectives and deliver maximum business value. An essential skill will be assessing user requirements against the overall strategy of the application - to ensure to maintain a balance between user needs and application philosophy. This will mean explaining to senior clients that some of their requests will not be accepted, and crucially why. Take on the day-to-day leadership of the development team responsible for the next generation of XiP: Lead the team's Agile/Scrum ceremonies, including sprint planning, daily stand-ups, and retrospectives, to ensure a smooth and effective development workflow. Manage the project backlog, prioritize tasks, and coordinate development efforts to align with the product roadmap and strategic goals. Provide hands on technical leadership, guiding the team in architectural decisions, enforcing coding standards, and performing code reviews to maintain high-quality, robust, and scalable code. Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth-oriented team environment, encouraging best practices and continuous learning. Implement the new generation of Citi's Risk Calculation Engine: Participate in the design, development, and implementation of the next version of the XiP Risk Calculation Engine, focusing on understanding and fulfilling the needs of new platform customers. The current generation of the platform regularly parallelizes 250,000 hours of compute into a single 90-minute execution. The new platform needs to maintain this performance while enabling new workloads. Qualifications Professional software development experience with Java or Python. Solid experience with common frameworks and tooling (e.g. Spring, Spring Boot, Quarkus in Java. Or Flask, FastAPI, Pydantic in Python). Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes). Experience designing, building, and maintaining large-scale, distributed systems. Experience with RESTful API design and implementation. Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Experience with unit testing, integration testing, and test automation frameworks. Experience working in Agile/Scrum development environments. Experience with CI/CD pipelines and DevOps practices is a plus. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Job Family Group Technology Job Family Applications Development Time Type Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Aug 24, 2026
Full time
ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details
Aug 24, 2026
Full time
Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details
Senior Specialist Solutions Engineer (AI/ML) Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team). The impact you will have Lead the architectural design of production grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end to end pipeline creation and optimization (training/inference) to seamless integration with cloud native services. Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real world examples. Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for Experienced, technical, customer facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer facing technical role as a subject matter expert (SME) in a pre sales environment. Pre sales or post sales experience working with external clients across a variety of industry markets. Data Science/ML Skills Hands on industry ML experience in at least one of the following: ML Engineer: Develop production grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non technical and technical audiences alike. Passion for collaboration, life long learning, and driving our values through ML. Preferred 2+ years customer facing experience in a pre sales or post sales role. Preferred Experience working with Apache Spark to process large scale distributed datasets. Can meet expectations for technical training and role specific outcomes within 3 months of hire. Can travel up to 30% when needed. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Aug 24, 2026
Full time
Senior Specialist Solutions Engineer (AI/ML) Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team). The impact you will have Lead the architectural design of production grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end to end pipeline creation and optimization (training/inference) to seamless integration with cloud native services. Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real world examples. Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for Experienced, technical, customer facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer facing technical role as a subject matter expert (SME) in a pre sales environment. Pre sales or post sales experience working with external clients across a variety of industry markets. Data Science/ML Skills Hands on industry ML experience in at least one of the following: ML Engineer: Develop production grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non technical and technical audiences alike. Passion for collaboration, life long learning, and driving our values through ML. Preferred 2+ years customer facing experience in a pre sales or post sales role. Preferred Experience working with Apache Spark to process large scale distributed datasets. Can meet expectations for technical training and role specific outcomes within 3 months of hire. Can travel up to 30% when needed. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
Aug 24, 2026
Full time
AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.
Morela is proud to be supporting a private, entrepreneurial family-owned real estate group with a multi-billion-pound property portfolio and a private credit book. Long established, cash generative, and quietly one of the larger privately held property businesses in the country. Not a name you will see on job boards, because they have never needed to advertise. And, remarkably, no data platform. Property management, asset management and accounting all sit in separate systems that do not talk to each other, which means nobody in the business has a single, trusted view of what it owns. They could have bought something off the shelf. They could have handed it to a consultancy. Instead, they have decided to build it properly, in-house, and this is the person who builds it. This is a blank page. You choose the stack. You design the model. You decide what gets built and what gets bought. There is no legacy platform to inherit and no architect sitting above you telling you how it is done. Because the business is family-owned, it actually moves: no steering committee, no six-week approval cycle, no business case to defend three times before you write a line of code. You will sit alongside the principals and the operating teams, so what you build goes live and gets used that week. Get the foundation right and the question that follows is a genuinely interesting one: whether the tooling you have built internally becomes a product in its own right. YOUR ROLE Set the direction. Identify and translate the organisation's highest-value problems into a technical roadmap, balancing a robust platform architecture against rapid delivery. Build the foundation. Design the data model that operates as a single source of truth, and the pipelines that store and reconcile properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple sources. Connect the estate. Build integrations with third-party vendors across APIs, webhooks, direct database access and scheduled ingestion. Kill the manual work. Eliminate repetitive manual work across internal workflows: data collection, validation, approvals, reconciliations, reminders, document generation and reporting. Ship what people use. Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and actually use. Put AI to work properly. Build LLM pipelines for extraction, classification, retrieval and workflow support, with evaluations, human-in-the-loop oversight and auditability, so it is explainable rather than a black box. Set the bar. Set the standards for security, testing, deployment, monitoring and documentation, manage selected vendors, build the engineering culture, and mentor the junior data engineer. WHAT WE ARE LOOKING FOR A strong record of building and operating reliable pipelines, integrations, data models or platforms that serve real users and business-critical decisions. Strong programming fundamentals in Python, TypeScript and SQL at expert working level, covering testing, performance and maintainability, with the judgement to review others' code and hold a high-quality bar. Confidence building robust REST APIs, working with relational databases such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool use and guardrails. Experience taking a platform from prototype to production or working in an early-stage environment with a rapidly evolving product. Mature judgement handling financially sensitive, personal and commercially confidential information in a regulated industry. The ability to set direction, mentor a junior colleague and introduce engineering discipline while staying practical, fast and close to end users. Curiosity about how internal tools can be abstracted and generalised into a product. HELPFUL, BUT NOT ESSENTIAL Proptech, fintech, accounting technology, asset management, construction, private investment operations or another data-intensive regulated environment. Modern data warehouses, transformation and orchestration tooling, business intelligence platforms and internal web applications. Document processing, OCR, search and retrieval systems, workflow engines or human-in-the-loop review tools. UK data protection, information security and operational resilience principles. WHY THIS ONE IS WORTH A CONVERSATION Scope most senior engineers never get. The platform is yours to define, not someone else's to maintain. Direct access to the people who decide, without the layers that slow good engineering down. Real AI work with real constraints, where auditability and evaluation matter as much as the model. The stability of a long-established, cash-generative business, with the pace and the blank page of an early-stage one. THE PROCESS Morela is supporting this search and managing the process end to end. If the brief resonates, get in touch for a confidential conversation before you commit to anything; the client is named only once you are happy to be represented. Appointment will be subject to appropriate references, background checks and a confidentiality agreement. We welcome applicants from different backgrounds whose skills and evidence meet the requirements, and reasonable adjustments are available throughout the process. For immediate consideration email (url removed)
Aug 24, 2026
Full time
Morela is proud to be supporting a private, entrepreneurial family-owned real estate group with a multi-billion-pound property portfolio and a private credit book. Long established, cash generative, and quietly one of the larger privately held property businesses in the country. Not a name you will see on job boards, because they have never needed to advertise. And, remarkably, no data platform. Property management, asset management and accounting all sit in separate systems that do not talk to each other, which means nobody in the business has a single, trusted view of what it owns. They could have bought something off the shelf. They could have handed it to a consultancy. Instead, they have decided to build it properly, in-house, and this is the person who builds it. This is a blank page. You choose the stack. You design the model. You decide what gets built and what gets bought. There is no legacy platform to inherit and no architect sitting above you telling you how it is done. Because the business is family-owned, it actually moves: no steering committee, no six-week approval cycle, no business case to defend three times before you write a line of code. You will sit alongside the principals and the operating teams, so what you build goes live and gets used that week. Get the foundation right and the question that follows is a genuinely interesting one: whether the tooling you have built internally becomes a product in its own right. YOUR ROLE Set the direction. Identify and translate the organisation's highest-value problems into a technical roadmap, balancing a robust platform architecture against rapid delivery. Build the foundation. Design the data model that operates as a single source of truth, and the pipelines that store and reconcile properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple sources. Connect the estate. Build integrations with third-party vendors across APIs, webhooks, direct database access and scheduled ingestion. Kill the manual work. Eliminate repetitive manual work across internal workflows: data collection, validation, approvals, reconciliations, reminders, document generation and reporting. Ship what people use. Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and actually use. Put AI to work properly. Build LLM pipelines for extraction, classification, retrieval and workflow support, with evaluations, human-in-the-loop oversight and auditability, so it is explainable rather than a black box. Set the bar. Set the standards for security, testing, deployment, monitoring and documentation, manage selected vendors, build the engineering culture, and mentor the junior data engineer. WHAT WE ARE LOOKING FOR A strong record of building and operating reliable pipelines, integrations, data models or platforms that serve real users and business-critical decisions. Strong programming fundamentals in Python, TypeScript and SQL at expert working level, covering testing, performance and maintainability, with the judgement to review others' code and hold a high-quality bar. Confidence building robust REST APIs, working with relational databases such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool use and guardrails. Experience taking a platform from prototype to production or working in an early-stage environment with a rapidly evolving product. Mature judgement handling financially sensitive, personal and commercially confidential information in a regulated industry. The ability to set direction, mentor a junior colleague and introduce engineering discipline while staying practical, fast and close to end users. Curiosity about how internal tools can be abstracted and generalised into a product. HELPFUL, BUT NOT ESSENTIAL Proptech, fintech, accounting technology, asset management, construction, private investment operations or another data-intensive regulated environment. Modern data warehouses, transformation and orchestration tooling, business intelligence platforms and internal web applications. Document processing, OCR, search and retrieval systems, workflow engines or human-in-the-loop review tools. UK data protection, information security and operational resilience principles. WHY THIS ONE IS WORTH A CONVERSATION Scope most senior engineers never get. The platform is yours to define, not someone else's to maintain. Direct access to the people who decide, without the layers that slow good engineering down. Real AI work with real constraints, where auditability and evaluation matter as much as the model. The stability of a long-established, cash-generative business, with the pace and the blank page of an early-stage one. THE PROCESS Morela is supporting this search and managing the process end to end. If the brief resonates, get in touch for a confidential conversation before you commit to anything; the client is named only once you are happy to be represented. Appointment will be subject to appropriate references, background checks and a confidentiality agreement. We welcome applicants from different backgrounds whose skills and evidence meet the requirements, and reasonable adjustments are available throughout the process. For immediate consideration email (url removed)
