Job Title: Senior Cyber Security Architect Location: Remote Employment Type: Permanent, Full-Time Salary: £85,000 - £100,000 + excellent Benefits About the Role We're working with a well-established and highly regulated organisation in the utilities sector, who are seeking a Senior Cyber Security Architect to play a key role in their Cyber Resilience team. This is a senior technical position focused on designing and implementing robust cloud focused security architectures that protect critical systems and information assets. You'll be responsible for developing security strategies aligned with business goals, ensuring effective integration of controls across networks, applications, cloud environments, and enterprise systems. Reporting to the Cyber Resilience Manager, you'll work across technical and governance functions to ensure ongoing protection against an evolving threat landscape, while supporting incident response, architecture design, compliance, and risk management. Key Responsibilities Design and maintain enterprise-wide cloud security architectures aligned to business objectives and compliance requirements Implement security controls across infrastructure, applications, and cloud platforms Conduct risk assessments and collaborate with GRC teams to manage identified risks Integrate security measures into the software development lifecycle (SDLC) and broader IT processes Engage with architects, IT teams, and external suppliers to embed security into system design Develop and maintain technical incident response plans and support ongoing testing and refinement Monitor industry standards and regulatory changes (e.g., NIS regulations), ensuring ongoing compliance Contribute to internal security awareness and training programmes Evaluate emerging technologies and advise on their security implications Produce clear, well-documented architecture artefacts, policies, and procedures Benefits: Flexible working opportunities Discretionary bonus of up to 15% 25 days annual leave plus bank holidays Retirement Savings Plan (pension) with Aviva: 5% employee contribution, doubling your contribution at 10% - totalling 15% 14 x salary Life Insurance linked to membership of the Retirement Savings Plan "Choices" flexible benefit scheme options including corporate gym memberships, dental insurance, and health cash-plans Access to our Financial Wellbeing Programme - allowing you to manage your benefits flexibly to suit your financial needs Enhanced pay for parental leave Retail discounts and cashback scheme Annual salary review Company Sick Pay Why You Should Apply: This newly created role offers the chance to shape processes from the ground up while working in a supportive and forward-thinking IT team. If you're passionate about reducing service disruption, enhancing operational excellence, and driving real change, this could be your next big step. Ready to Apply? Contact Daniel Newton to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral scheme-just get in touch!
Aug 24, 2026
Full time
Job Title: Senior Cyber Security Architect Location: Remote Employment Type: Permanent, Full-Time Salary: £85,000 - £100,000 + excellent Benefits About the Role We're working with a well-established and highly regulated organisation in the utilities sector, who are seeking a Senior Cyber Security Architect to play a key role in their Cyber Resilience team. This is a senior technical position focused on designing and implementing robust cloud focused security architectures that protect critical systems and information assets. You'll be responsible for developing security strategies aligned with business goals, ensuring effective integration of controls across networks, applications, cloud environments, and enterprise systems. Reporting to the Cyber Resilience Manager, you'll work across technical and governance functions to ensure ongoing protection against an evolving threat landscape, while supporting incident response, architecture design, compliance, and risk management. Key Responsibilities Design and maintain enterprise-wide cloud security architectures aligned to business objectives and compliance requirements Implement security controls across infrastructure, applications, and cloud platforms Conduct risk assessments and collaborate with GRC teams to manage identified risks Integrate security measures into the software development lifecycle (SDLC) and broader IT processes Engage with architects, IT teams, and external suppliers to embed security into system design Develop and maintain technical incident response plans and support ongoing testing and refinement Monitor industry standards and regulatory changes (e.g., NIS regulations), ensuring ongoing compliance Contribute to internal security awareness and training programmes Evaluate emerging technologies and advise on their security implications Produce clear, well-documented architecture artefacts, policies, and procedures Benefits: Flexible working opportunities Discretionary bonus of up to 15% 25 days annual leave plus bank holidays Retirement Savings Plan (pension) with Aviva: 5% employee contribution, doubling your contribution at 10% - totalling 15% 14 x salary Life Insurance linked to membership of the Retirement Savings Plan "Choices" flexible benefit scheme options including corporate gym memberships, dental insurance, and health cash-plans Access to our Financial Wellbeing Programme - allowing you to manage your benefits flexibly to suit your financial needs Enhanced pay for parental leave Retail discounts and cashback scheme Annual salary review Company Sick Pay Why You Should Apply: This newly created role offers the chance to shape processes from the ground up while working in a supportive and forward-thinking IT team. If you're passionate about reducing service disruption, enhancing operational excellence, and driving real change, this could be your next big step. Ready to Apply? Contact Daniel Newton to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral scheme-just get in touch!
Position Summary As a SOC Shift Lead, you build on your solid experience as a SOC Analyst by supervising and guiding a team of SOC Analysts during your assigned shift. You ensure quality and consistency across all alerts and incidents handled by the team while serving as the primary point of escalation. In this role, you support team development, drive process improvements, and maintain clear, customer-centric communication with all stakeholders. You also lead quality assurance efforts and ensure that service-level agreements (SLAs) are met. Objectives & Key Results Key Responsibilities Shift Leadership and Team Coordination - You run shift operations, ensuring compliance with SLAs and maintaining high-quality incident handling. You set shift agendas, balance workloads, and promptly address any process or staffing issues. You also maintain effective, customer-centric communication with internal teams (including Security Optimisation and Engineering), customers, and their incident response partners Incident Triage and Investigation - You review and prioritise new alerts, taking initial ownership of high-priority or complex incidents, and ensure proper escalation to customers and Senior SOC Analysts. You make sound, data-driven decisions to facilitate effective triage, investigation, and escalation in line with operational standards Quality Assurance and Documentation - You conduct regular quality assurance (QA) of tickets to ensure SOC procedures and documentation standards are met, providing clear, constructive feedback to team members to improve technical skills and workflow consistency Collaboration and Mentorship - You mentor SOC Analysts in your team by offering regular, constructive feedback on triage processes and best practices. You encourage targeted training initiatives, including relevant certifications, to support career progression within the SOC Service Improvement - You contribute to ongoing service improvement through participation in supporting threat hunting activity led by Senior SOC Analysts, rule tuning, and process refinement initiatives. You assist in monthly reporting and post-incident reviews to drive improvements that reflect our commitment to transparent and reliable performance Required Qualifications & Experience You may be required to hold or obtain UK Non-Police Personnel Vetting (NPPV) and/or a Security Check (SC) clearance as part of this role Willingness to work towards or obtain intermediate cybersecurity certifications (e.g. SBT BTL2, CREST Registered Intrusion Analyst) Proficiency with SIEM platforms, endpoint security tools, and ticketing systems, with an ability to make clear, data-driven decisions under pressure Critical Competencies - Technical Fit Operating Systems - Possess detailed knowledge of Windows and Linux system architectures, with a clear understanding of how event logs (e.g., Windows Event Viewer, Syslog) reflect system security posture Networking and Protocols - Have a comprehensive understanding of TCP/IP, DNS, DCHP, VPNs, SSL/TLS, and network forensics concepts to validate network-based alerts and anomalies Cybersecurity Frameworks - Deeply understand and be able to articulate the elements of the MITRE ATT&CK framework, and Cyber Kill Chain; know how adversary tactics and techniques translate into observable indicators SIEM and Security Tools - Know the theoretical underpinnings of SIEM operations, including alert correlation, the design of automated detection rules, and the interpretation of aggregated security data Incident Triage - Understand the principles behind effective triage, including the rationale for using standardised playbooks and the criteria for escalating incidents without undertaking complex forensic analysis Threat Intelligence Integration - Be knowledgeable about the role and structure of threat intelligence - how feeds are sourced, what constitutes actionable information, and how malware indicators are defined Scripting and Automation - Understand the concepts behind using scripting for automating regular data extraction and log analysis, and the benefits such tools being to maintaining consistency in alert handling Benefits At Claranet, we go the extra mile with our people-because we believe in building a workplace where everyone feels valued and supported. What makes us unique is Team Claranet , our internal community that supports causes close to our employees' hearts. We offer paid charity leave, support local charities across our offices, and host annual fundraising events, all backed by a dedicated committee. We're proud founding members of TC4RE (Technology Community for Racial Equality) working collectively to build a more diverse and inclusive tech industry. About Claranet Founded at the beginning of the dot com bubble in 1996, our CEO Charles Nasser had a light bulb moment to develop a truly customer-focused IT business. Since then, Claranet has grown from an Internet Service Provider (ISP) in the UK to being one of the leading business modernisation experts, who deliver solutions across 11+ countries. Equal Opportunities Statement Diversity, equity and inclusion are at the heart of what we value as an organisation. Claranet is an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law. Our recruitment team are happy to support any reasonable adjustments that are needed within the recruitment process. Ready to take the next step in your career with Claranet? Click 'apply' - we can't wait to meet you! To view full job description please visit our careers page
Aug 24, 2026
Full time
Position Summary As a SOC Shift Lead, you build on your solid experience as a SOC Analyst by supervising and guiding a team of SOC Analysts during your assigned shift. You ensure quality and consistency across all alerts and incidents handled by the team while serving as the primary point of escalation. In this role, you support team development, drive process improvements, and maintain clear, customer-centric communication with all stakeholders. You also lead quality assurance efforts and ensure that service-level agreements (SLAs) are met. Objectives & Key Results Key Responsibilities Shift Leadership and Team Coordination - You run shift operations, ensuring compliance with SLAs and maintaining high-quality incident handling. You set shift agendas, balance workloads, and promptly address any process or staffing issues. You also maintain effective, customer-centric communication with internal teams (including Security Optimisation and Engineering), customers, and their incident response partners Incident Triage and Investigation - You review and prioritise new alerts, taking initial ownership of high-priority or complex incidents, and ensure proper escalation to customers and Senior SOC Analysts. You make sound, data-driven decisions to facilitate effective triage, investigation, and escalation in line with operational standards Quality Assurance and Documentation - You conduct regular quality assurance (QA) of tickets to ensure SOC procedures and documentation standards are met, providing clear, constructive feedback to team members to improve technical skills and workflow consistency Collaboration and Mentorship - You mentor SOC Analysts in your team by offering regular, constructive feedback on triage processes and best practices. You encourage targeted training initiatives, including relevant certifications, to support career progression within the SOC Service Improvement - You contribute to ongoing service improvement through participation in supporting threat hunting activity led by Senior SOC Analysts, rule tuning, and process refinement initiatives. You assist in monthly reporting and post-incident reviews to drive improvements that reflect our commitment to transparent and reliable performance Required Qualifications & Experience You may be required to hold or obtain UK Non-Police Personnel Vetting (NPPV) and/or a Security Check (SC) clearance as part of this role Willingness to work towards or obtain intermediate cybersecurity certifications (e.g. SBT BTL2, CREST Registered Intrusion Analyst) Proficiency with SIEM platforms, endpoint security tools, and ticketing systems, with an ability to make clear, data-driven decisions under pressure Critical Competencies - Technical Fit Operating Systems - Possess detailed knowledge of Windows and Linux system architectures, with a clear understanding of how event logs (e.g., Windows Event Viewer, Syslog) reflect system security posture Networking and Protocols - Have a comprehensive understanding of TCP/IP, DNS, DCHP, VPNs, SSL/TLS, and network forensics concepts to validate network-based alerts and anomalies Cybersecurity Frameworks - Deeply understand and be able to articulate the elements of the MITRE ATT&CK framework, and Cyber Kill Chain; know how adversary tactics and techniques translate into observable indicators SIEM and Security Tools - Know the theoretical underpinnings of SIEM operations, including alert correlation, the design of automated detection rules, and the interpretation of aggregated security data Incident Triage - Understand the principles behind effective triage, including the rationale for using standardised playbooks and the criteria for escalating incidents without undertaking complex forensic analysis Threat Intelligence Integration - Be knowledgeable about the role and structure of threat intelligence - how feeds are sourced, what constitutes actionable information, and how malware indicators are defined Scripting and Automation - Understand the concepts behind using scripting for automating regular data extraction and log analysis, and the benefits such tools being to maintaining consistency in alert handling Benefits At Claranet, we go the extra mile with our people-because we believe in building a workplace where everyone feels valued and supported. What makes us unique is Team Claranet , our internal community that supports causes close to our employees' hearts. We offer paid charity leave, support local charities across our offices, and host annual fundraising events, all backed by a dedicated committee. We're proud founding members of TC4RE (Technology Community for Racial Equality) working collectively to build a more diverse and inclusive tech industry. About Claranet Founded at the beginning of the dot com bubble in 1996, our CEO Charles Nasser had a light bulb moment to develop a truly customer-focused IT business. Since then, Claranet has grown from an Internet Service Provider (ISP) in the UK to being one of the leading business modernisation experts, who deliver solutions across 11+ countries. Equal Opportunities Statement Diversity, equity and inclusion are at the heart of what we value as an organisation. Claranet is an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability or any other status protected by law. Our recruitment team are happy to support any reasonable adjustments that are needed within the recruitment process. Ready to take the next step in your career with Claranet? Click 'apply' - we can't wait to meet you! To view full job description please visit our careers page
Different Technologies Pty Ltd.
Cheltenham, Gloucestershire
Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Cyber Security Technical Security Consultant to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a technical Consultant, you will be expected to demonstrate versatility as you work closely with our public sector clients, governmental departments and project teams. You will be expected to help design, document, and build secure networks or systems: solving some of the UK's most exciting cyber security challenges. What's in it for you? You will be joining the company at Daintta "Consultant" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Key Responsibilities Developing, justifying and implementing organisational and system security management strategies that address risk and control requirements, ensuring a UK Gov't Secure by Design approach Selecting, understanding and adapting/adopting appropriate security control frameworks Identifying security risk business and stakeholder security requirements and proposing proportionate assessment, design and implementation of secure systems to meet the requirements Performing threat modelling and risk assessments to develop a holistic picture of threat Ensuring security principles are applied during solution planning, design, test, deployment and operations to reduce risk and ensure compliance, including: Developing or supporting the development of secure solution designs to mitigate the risks posed by new technologies and business practices Supporting third-party and supply chain security assessments, including vendor due diligence, secure procurement, software supply chain risk and ongoing assurance of externally sourced technology Applying identity-led and zero trust security principles, including strong authentication, least privilege, contextual access control and segmentation of services, users and devices Defining and reviewing security assurance activities, including design assurance, verification, validation, vulnerability assessment, penetration testing inputs and interpretation of assurance evidence Developing and communicating corporate and domain information security policy, standards, guidelines and design guardrails Identifying and monitoring environmental and market trends and proactively assessing impact on business strategies, benefits and risks Assessing your client's' needs, understanding how their needs may differ from their wants, and appropriately managing stakeholder relationships Delivering high-quality work to agreed milestones, and adapting quickly to unfamiliar client environments. Supporting the technical aspects of client engagements, including pitches and presentations Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future Representing us and our core values: Transparency, fairness and being daring. Skills/Knowledge You have relevant and recent practical experience in cyber security engineering, architecture, design or technical assurance, and can apply that knowledge credibly in client-facing consulting engagements You have worked in technical client deliveries across a range of cyber security related projects You understand technical controls and business risk You can demonstrate working-level experience in one or more of the following domains: Security Architecture; Security Operations; Identity & Access Management; Cloud, Infrastructure and Platform Security; Network and Connectivity Security; Application Security and DevSecOps; Data Security and Privacy; Governance, Risk & Compliance; You have experience embedding security into agile, DevSecOps and iterative delivery models, including design reviews, security requirements management and pragmatic risk treatment in fast-moving projects You have experience working with security control standards and frameworks e.g. ISO27001, NIST, NCSC guidance and NCSC CAF, JSP 440 or others You have demonstrable continuous personal development, supported by relevant certifications and accreditations You have good interpersonal skills at both the business and technical level You have UK security clearance at SC or above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency and sovereignty considerations to solution design, particularly where sensitive, regulated or operationally critical data is involved Understanding of security risks and controls for AI-enabled systems, including data governance, access control, prompt injection, model misuse, third-party AI services and monitoring of sensitive data exposure Application and governance of fine grained access control and permissions Experience in UK Gov't public sector or defence Location? Hybrid, with 2-3 days working from Daintta office or on client site as required. We believe in supporting our people both professionally and personally. Here's what you can expect when you join us: Time Off: 25 days annual leave, plus bank holidays Up to 5 days annual training leave with a dedicated training budget Up to 3 days annual volunteering leave - give back to the community Competitive maternity, paternity, shared parental leave & compassionate leave Employee Assistance Programme - 24/7 support services £2,000 Flex Cash Allowance, paid pro-rata over the year Discretionary company awards and bonuses, based on performance and company targets Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Free breakfast every Tuesday in the London office Fortnightly drinks - in London Regular social events, quizzes, and guest workshops Huckletree perks - including gym and restaurant discounts Employee referral programme Monthly breakfast club in our Cheltenham office Security Information Due to clients' requirements, all applications are strictly subject to security clearance requirements relevant to the role.
Aug 24, 2026
Full time
Daintta are a rapidly growing, values-driven team of specialists who work with government clients across Cyber, Telecommunications and Data. We are seeking a talented and motivated Cyber Security Technical Security Consultant to join our team and contribute to our mission of protecting the UK through data-driven insights and solutions. As a technical Consultant, you will be expected to demonstrate versatility as you work closely with our public sector clients, governmental departments and project teams. You will be expected to help design, document, and build secure networks or systems: solving some of the UK's most exciting cyber security challenges. What's in it for you? You will be joining the company at Daintta "Consultant" grade. In addition to being rewarded fairly for your contribution to the business, you get to work in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. A place where you are respected by everyone and your voice is important. Somewhere where you can be innovative and creative. A place where you have the opportunity to learn about all aspects of business from marketing to sales, to delivery and business operations. Key Responsibilities Developing, justifying and implementing organisational and system security management strategies that address risk and control requirements, ensuring a UK Gov't Secure by Design approach Selecting, understanding and adapting/adopting appropriate security control frameworks Identifying security risk business and stakeholder security requirements and proposing proportionate assessment, design and implementation of secure systems to meet the requirements Performing threat modelling and risk assessments to develop a holistic picture of threat Ensuring security principles are applied during solution planning, design, test, deployment and operations to reduce risk and ensure compliance, including: Developing or supporting the development of secure solution designs to mitigate the risks posed by new technologies and business practices Supporting third-party and supply chain security assessments, including vendor due diligence, secure procurement, software supply chain risk and ongoing assurance of externally sourced technology Applying identity-led and zero trust security principles, including strong authentication, least privilege, contextual access control and segmentation of services, users and devices Defining and reviewing security assurance activities, including design assurance, verification, validation, vulnerability assessment, penetration testing inputs and interpretation of assurance evidence Developing and communicating corporate and domain information security policy, standards, guidelines and design guardrails Identifying and monitoring environmental and market trends and proactively assessing impact on business strategies, benefits and risks Assessing your client's' needs, understanding how their needs may differ from their wants, and appropriately managing stakeholder relationships Delivering high-quality work to agreed milestones, and adapting quickly to unfamiliar client environments. Supporting the technical aspects of client engagements, including pitches and presentations Helping to support & grow Daintta by actively inputting into the company strategy and helping to shape our future Representing us and our core values: Transparency, fairness and being daring. Skills/Knowledge You have relevant and recent practical experience in cyber security engineering, architecture, design or technical assurance, and can apply that knowledge credibly in client-facing consulting engagements You have worked in technical client deliveries across a range of cyber security related projects You understand technical controls and business risk You can demonstrate working-level experience in one or more of the following domains: Security Architecture; Security Operations; Identity & Access Management; Cloud, Infrastructure and Platform Security; Network and Connectivity Security; Application Security and DevSecOps; Data Security and Privacy; Governance, Risk & Compliance; You have experience embedding security into agile, DevSecOps and iterative delivery models, including design reviews, security requirements management and pragmatic risk treatment in fast-moving projects You have experience working with security control standards and frameworks e.g. ISO27001, NIST, NCSC guidance and NCSC CAF, JSP 440 or others You have demonstrable continuous personal development, supported by relevant certifications and accreditations You have good interpersonal skills at both the business and technical level You have UK security clearance at SC or above or are eligible and willing to go through clearance You have experience working with security controls within cloud-based infrastructure (e.g Azure, AWS, GCP). This may include design, configuration, or protective monitoring. Knowledge of digital identity and authentication systems Experience applying data classification, handling requirements, data residency and sovereignty considerations to solution design, particularly where sensitive, regulated or operationally critical data is involved Understanding of security risks and controls for AI-enabled systems, including data governance, access control, prompt injection, model misuse, third-party AI services and monitoring of sensitive data exposure Application and governance of fine grained access control and permissions Experience in UK Gov't public sector or defence Location? Hybrid, with 2-3 days working from Daintta office or on client site as required. We believe in supporting our people both professionally and personally. Here's what you can expect when you join us: Time Off: 25 days annual leave, plus bank holidays Up to 5 days annual training leave with a dedicated training budget Up to 3 days annual volunteering leave - give back to the community Competitive maternity, paternity, shared parental leave & compassionate leave Employee Assistance Programme - 24/7 support services £2,000 Flex Cash Allowance, paid pro-rata over the year Discretionary company awards and bonuses, based on performance and company targets Professional Development Up to £1,000 annual training budget (access to additional training and development budget via business case) Up to 5 days annual training leave 1 professional membership paid annually Up to £200 of additional IT budget for new joiners Free breakfast every Tuesday in the London office Fortnightly drinks - in London Regular social events, quizzes, and guest workshops Huckletree perks - including gym and restaurant discounts Employee referral programme Monthly breakfast club in our Cheltenham office Security Information Due to clients' requirements, all applications are strictly subject to security clearance requirements relevant to the role.
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
Select how often (in days) to receive an alert: Solutions Architect Department: INFORMATION TECHNOLOGY City: London Location: GB INTRODUCTION At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today. We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities. JOB PURPOSE The Data Platform Architect is accountable for the technical architecture of the enterprise data platform, ensuring it meets the demands of a growing data estate while maintaining performance, cost efficiency, security, and alignment with enterprise architecture standards. This role will be expected to own the internal technical architecture (compute and storage design, ingestion framework patterns, data modelling standards, andaccess control architecture, platform performance and capacity planning, and establishing architectural authority, documenting design decisions, and ensuring knowledge retention within Burberry. This role defines the architecture, sets the standards, provides design governance, and ensures what is built is consistent, scalable, and aligned to the enterprise technology strategy. The architect participates in cross-functional squads where architectural input is required, providing design guidance for complex data initiatives. ACCOUNTABILITY BOUNDARIES AND KEY INTERFACES Accountable for platform architecture, standards, technical guardrails, architectural roadmap and design assurance for the enterprise data platform. Not accountable for day-to-day platform operations or individual data product delivery, but accountable for the architectural standards those teams consume. Key interfaces include Enterprise Data, Enterprise Platforms & Operations, Data Governance, Cyber Security, Solution Architecture, MLOps/AI teams and strategic technology vendors. RESPONSIBILITIES Design and maintain the platform's technical architecture, including compute/storage design, ingestion frameworks, access control, performance tuning, and capacity planning. Define and maintain architectural standards and guardrails (naming conventions, environment management, deployment pipelines, partitioning strategies, and cost optimisation patterns). Own platform cost modelling and FinOps governance, defining cost allocation patterns and identifying optimisation opportunities. Align with the Data Senior Solution Architect and Data Solution Architects to ensure consistency with enterprise data architecture and models. Translate architectural direction into practical engineering guidance for Data Platform Engineers and Data Engineers, ensuring teams can implement within defined standards without requiring bespoke architectural intervention for standard use cases. Design data ingestion architecture (batch, micro-batch, and streaming) with clear boundaries for system-to-system integration. Define architecture for the semantic layer and self-serve analytics infrastructure. Provide input to data squads for complex data products and support Data Product Managers and Data Engineers where architectural complexity requires it. Ensure architecture supports emerging requirements, including agentic AI data infrastructure, MLOps productionisation, and advanced analytics. Collaborate with the Senior Manager, Data Platform Engineering (within the Enterprise Platforms & Operations team) to ensure platform operations are aligned to the target architecture, providing feedback on feasibility and translating architectural decisions into implementable guidance. Collaborate with the Senior Manager, Data Engineering (within the Enterprise Data team) to ensure data engineering work follows defined patterns and standards. Own the data platform roadmap from an architectural perspective, defining how the platform evolves over time (e.g.,SAP BW transition/retirement path, Databricks maturation, Datasphere integration layer decisions). Contribute to enterprise architecture governance forums, representing data platform considerations in broader technology decisions. Provide architectural input to vendor and tooling decisions, evaluating technology options and providing recommendations for platform evolution. Maintain comprehensive documentation of design decisions, patterns, standards, and trade-offs. Define non-functional platform architecture standards covering resilience, backup/restore, disaster recovery, observability, service levels, auditability and operational readiness. Define platform security and privacy architecture in partnership with Cyber Security and Data Governance, including PII handling, access recertification, audit logging and retention patterns. Establish architecture decision records, exception/waiver processes and design scorecards so deviations from platform standards are visible, time-bound and governed. Maintain platform adoption, performance, cost and standards-compliance metrics, using them to guide roadmap priorities and architecture governance decisions. PERSONAL PROFILE Deep expertise in Databricks (Unity Catalog, Delta Lake, Spark, Databricks SQL) or equivalent Lakehouse platforms, including administration, cost management, and performance optimisation. Strong understanding of cloud-native architecture principles, cost models, and practical experience with CI/CD pipelines and environment strategies. Proven implementation of data security (encryption, RBAC, column/row-level security, data masking). Strong understanding of ingestion and pipeline architecture patterns for diverse source systems. Experience with SAP data landscapes (BW, Datasphere, S/4HANA data flows) is highly desirable given the Burberry technology estate. Experience defining architectural standards and patterns that engineering teams implement and comfortable setting direction without hands-on delivery. Experience working within a centralised architecture function that engages flexibly with delivery squads. Ability to communicate architectural decisions to both technical and non-technical stakeholders. Experience establishing architectural authority in environments transitioning from outsourced to in-house ownership is beneficial. Experience defining non-functional requirements and architecture patterns for enterprise-grade resilience, observability, disaster recovery, data lifecycle management and operational readiness. Experience using architecture decision records, design authorities, exception management and measurable standards adoption to embed architectural governance without slowing delivery.
Aug 24, 2026
Full time
Select how often (in days) to receive an alert: Solutions Architect Department: INFORMATION TECHNOLOGY City: London Location: GB INTRODUCTION At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today. We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities. JOB PURPOSE The Data Platform Architect is accountable for the technical architecture of the enterprise data platform, ensuring it meets the demands of a growing data estate while maintaining performance, cost efficiency, security, and alignment with enterprise architecture standards. This role will be expected to own the internal technical architecture (compute and storage design, ingestion framework patterns, data modelling standards, andaccess control architecture, platform performance and capacity planning, and establishing architectural authority, documenting design decisions, and ensuring knowledge retention within Burberry. This role defines the architecture, sets the standards, provides design governance, and ensures what is built is consistent, scalable, and aligned to the enterprise technology strategy. The architect participates in cross-functional squads where architectural input is required, providing design guidance for complex data initiatives. ACCOUNTABILITY BOUNDARIES AND KEY INTERFACES Accountable for platform architecture, standards, technical guardrails, architectural roadmap and design assurance for the enterprise data platform. Not accountable for day-to-day platform operations or individual data product delivery, but accountable for the architectural standards those teams consume. Key interfaces include Enterprise Data, Enterprise Platforms & Operations, Data Governance, Cyber Security, Solution Architecture, MLOps/AI teams and strategic technology vendors. RESPONSIBILITIES Design and maintain the platform's technical architecture, including compute/storage design, ingestion frameworks, access control, performance tuning, and capacity planning. Define and maintain architectural standards and guardrails (naming conventions, environment management, deployment pipelines, partitioning strategies, and cost optimisation patterns). Own platform cost modelling and FinOps governance, defining cost allocation patterns and identifying optimisation opportunities. Align with the Data Senior Solution Architect and Data Solution Architects to ensure consistency with enterprise data architecture and models. Translate architectural direction into practical engineering guidance for Data Platform Engineers and Data Engineers, ensuring teams can implement within defined standards without requiring bespoke architectural intervention for standard use cases. Design data ingestion architecture (batch, micro-batch, and streaming) with clear boundaries for system-to-system integration. Define architecture for the semantic layer and self-serve analytics infrastructure. Provide input to data squads for complex data products and support Data Product Managers and Data Engineers where architectural complexity requires it. Ensure architecture supports emerging requirements, including agentic AI data infrastructure, MLOps productionisation, and advanced analytics. Collaborate with the Senior Manager, Data Platform Engineering (within the Enterprise Platforms & Operations team) to ensure platform operations are aligned to the target architecture, providing feedback on feasibility and translating architectural decisions into implementable guidance. Collaborate with the Senior Manager, Data Engineering (within the Enterprise Data team) to ensure data engineering work follows defined patterns and standards. Own the data platform roadmap from an architectural perspective, defining how the platform evolves over time (e.g.,SAP BW transition/retirement path, Databricks maturation, Datasphere integration layer decisions). Contribute to enterprise architecture governance forums, representing data platform considerations in broader technology decisions. Provide architectural input to vendor and tooling decisions, evaluating technology options and providing recommendations for platform evolution. Maintain comprehensive documentation of design decisions, patterns, standards, and trade-offs. Define non-functional platform architecture standards covering resilience, backup/restore, disaster recovery, observability, service levels, auditability and operational readiness. Define platform security and privacy architecture in partnership with Cyber Security and Data Governance, including PII handling, access recertification, audit logging and retention patterns. Establish architecture decision records, exception/waiver processes and design scorecards so deviations from platform standards are visible, time-bound and governed. Maintain platform adoption, performance, cost and standards-compliance metrics, using them to guide roadmap priorities and architecture governance decisions. PERSONAL PROFILE Deep expertise in Databricks (Unity Catalog, Delta Lake, Spark, Databricks SQL) or equivalent Lakehouse platforms, including administration, cost management, and performance optimisation. Strong understanding of cloud-native architecture principles, cost models, and practical experience with CI/CD pipelines and environment strategies. Proven implementation of data security (encryption, RBAC, column/row-level security, data masking). Strong understanding of ingestion and pipeline architecture patterns for diverse source systems. Experience with SAP data landscapes (BW, Datasphere, S/4HANA data flows) is highly desirable given the Burberry technology estate. Experience defining architectural standards and patterns that engineering teams implement and comfortable setting direction without hands-on delivery. Experience working within a centralised architecture function that engages flexibly with delivery squads. Ability to communicate architectural decisions to both technical and non-technical stakeholders. Experience establishing architectural authority in environments transitioning from outsourced to in-house ownership is beneficial. Experience defining non-functional requirements and architecture patterns for enterprise-grade resilience, observability, disaster recovery, data lifecycle management and operational readiness. Experience using architecture decision records, design authorities, exception management and measurable standards adoption to embed architectural governance without slowing delivery.
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
Jackson Hogg Ltd
Newcastle Upon Tyne, Tyne And Wear
OT & Automation Engineer Newcastle Upon Tyne Up to 52,000 basic + competitive benefits We are seeking an OT & Automation Engineer to support the development, maintenance and continuous improvement of Operational Technology (OT) and Industrial Control Systems (ICS) within a manufacturing environment. This role will be responsible for supporting automation projects, maintaining control systems, enhancing cyber security compliance, and helping drive digital transformation initiatives across site operations. Key Responsibilities OT & Industrial Control Systems Provide technical support for control system maintenance, troubleshooting and improvement activities. Support design modifications and automation projects across site operations. Develop and maintain Industrial Control System network architecture documentation, including equipment locations, network addresses and communication routes. Implement and maintain control system backup and recovery processes. Support business continuity planning for control systems. Maintain and support control system spare parts inventories. Assist with the deployment of digital manufacturing initiatives and operational technology improvements. Automation Projects Work with automation integrators to develop technical solutions and project specifications. Support vendor selection and automation project execution. Contribute to project feasibility assessments, cost estimates and implementation plans. Collaborate with site engineering, IT and external suppliers to deliver automation solutions. Cyber Security Act as a key point of contact for OT cyber security activities. Ensure cyber security standards and policies are implemented and maintained. Carry out cyber security risk and vulnerability assessments. Support threat identification and mitigation activities. Maintain records of Industrial Control System assets and lifecycle management. Deliver awareness training and support compliance initiatives. Process Safety & Compliance Maintain control system documentation including logic diagrams, interlocks and operating limits. Support functional safety activities and process hazard reviews. Identify and manage critical control system equipment. Contribute to safe and reliable plant operations. Skills & Experience Degree in Electronics, Automation, Industrial Control, Electrical Engineering or a related discipline. Minimum 3 years' experience in an automation or control systems engineering role. Experience maintaining industrial control systems within a manufacturing environment. Strong knowledge of PLC programming and troubleshooting. Experience with platforms such as Siemens, Allen-Bradley, Honeywell, ABB or similar. Understanding of industrial communication protocols including Profibus, Modbus, Ethernet and wireless networks. Knowledge of cyber security principles, network architecture and data acquisition systems. Experience with databases such as SQL and OPC environments. Experience working with field instrumentation and plant control systems.
Aug 23, 2026
Full time
OT & Automation Engineer Newcastle Upon Tyne Up to 52,000 basic + competitive benefits We are seeking an OT & Automation Engineer to support the development, maintenance and continuous improvement of Operational Technology (OT) and Industrial Control Systems (ICS) within a manufacturing environment. This role will be responsible for supporting automation projects, maintaining control systems, enhancing cyber security compliance, and helping drive digital transformation initiatives across site operations. Key Responsibilities OT & Industrial Control Systems Provide technical support for control system maintenance, troubleshooting and improvement activities. Support design modifications and automation projects across site operations. Develop and maintain Industrial Control System network architecture documentation, including equipment locations, network addresses and communication routes. Implement and maintain control system backup and recovery processes. Support business continuity planning for control systems. Maintain and support control system spare parts inventories. Assist with the deployment of digital manufacturing initiatives and operational technology improvements. Automation Projects Work with automation integrators to develop technical solutions and project specifications. Support vendor selection and automation project execution. Contribute to project feasibility assessments, cost estimates and implementation plans. Collaborate with site engineering, IT and external suppliers to deliver automation solutions. Cyber Security Act as a key point of contact for OT cyber security activities. Ensure cyber security standards and policies are implemented and maintained. Carry out cyber security risk and vulnerability assessments. Support threat identification and mitigation activities. Maintain records of Industrial Control System assets and lifecycle management. Deliver awareness training and support compliance initiatives. Process Safety & Compliance Maintain control system documentation including logic diagrams, interlocks and operating limits. Support functional safety activities and process hazard reviews. Identify and manage critical control system equipment. Contribute to safe and reliable plant operations. Skills & Experience Degree in Electronics, Automation, Industrial Control, Electrical Engineering or a related discipline. Minimum 3 years' experience in an automation or control systems engineering role. Experience maintaining industrial control systems within a manufacturing environment. Strong knowledge of PLC programming and troubleshooting. Experience with platforms such as Siemens, Allen-Bradley, Honeywell, ABB or similar. Understanding of industrial communication protocols including Profibus, Modbus, Ethernet and wireless networks. Knowledge of cyber security principles, network architecture and data acquisition systems. Experience with databases such as SQL and OPC environments. Experience working with field instrumentation and plant control systems.
Senior Controls & Automation Engineer Employment Type: Permanent Reporting to: Engineering Manager Sector: Industrial Automation / Special Purpose Machinery The Role An established engineering business is looking for a Senior Controls & Automation Engineer to lead the development and standardisation of machine control systems across complex automated machinery. The role combines hands-on engineering with technical leadership, covering PLC software, motion control, automation, functional safety and machine connectivity . A key focus will be supporting the transition from Allen-Bradley to Siemens , while developing engineering standards and mentoring other engineers. Key Responsibilities Define and develop controls and software architecture standards. Lead the transition from Allen-Bradley to Siemens platforms. Design and develop PLC software using Siemens TIA Portal and S7-1500 PLCs . Configure and commission SINAMICS drives, Siemens safety systems and WinCC HMIs . Develop servo and multi-axis motion-control applications, including interpolation and synchronisation. Develop HMI/SCADA solutions, machine diagnostics and predictive maintenance functionality. Lead controls development for complex machinery and automated handling systems. Integrate conveyors, robotics, gantries and third-party automation equipment . Support machinery risk assessments, validation and CE/UKCA compliance . Ensure designs meet relevant functional safety, international standards and cybersecurity requirements. Support machine commissioning, FAT and SAT activities. Provide technical support for complex troubleshooting, modifications and upgrades. Mentor junior controls and electrical engineers and support continuous improvement. Technical Experience The successful candidate should have strong experience within controls engineering, industrial automation or special purpose machinery , including: Significant PLC programming experience. Strong Siemens TIA Portal experience. S7-1500 PLCs . SINAMICS drives . Siemens safety systems . WinCC HMI/SCADA development. Servo systems and multi-axis motion control . Automated handling and material-handling systems. Experience with conveyors, robotics and/or gantries . Complex machinery or special purpose machinery projects. Industrial communications including Profinet, Ethernet/IP, OPC UA and Modbus . Practical understanding of machine safety legislation. CE/UKCA compliance experience. Understanding of functional safety principles and standards. Machinery risk assessments and validation. Industrial cybersecurity awareness. Allen-Bradley experience would be beneficial, particularly alongside Siemens migration projects. Leadership & Personal Skills Experience mentoring and supporting other engineers. Ability to influence technical direction and engineering standards. Strong problem-solving and stakeholder-management skills. Comfortable communicating with customers, suppliers and senior management. Able to work collaboratively across mechanical, electrical, service and project teams. Health & Safety You will be expected to comply with all relevant health, safety and company procedures, ensuring machinery and engineering activities are undertaken safely and in accordance with applicable standards.
Aug 23, 2026
Full time
Senior Controls & Automation Engineer Employment Type: Permanent Reporting to: Engineering Manager Sector: Industrial Automation / Special Purpose Machinery The Role An established engineering business is looking for a Senior Controls & Automation Engineer to lead the development and standardisation of machine control systems across complex automated machinery. The role combines hands-on engineering with technical leadership, covering PLC software, motion control, automation, functional safety and machine connectivity . A key focus will be supporting the transition from Allen-Bradley to Siemens , while developing engineering standards and mentoring other engineers. Key Responsibilities Define and develop controls and software architecture standards. Lead the transition from Allen-Bradley to Siemens platforms. Design and develop PLC software using Siemens TIA Portal and S7-1500 PLCs . Configure and commission SINAMICS drives, Siemens safety systems and WinCC HMIs . Develop servo and multi-axis motion-control applications, including interpolation and synchronisation. Develop HMI/SCADA solutions, machine diagnostics and predictive maintenance functionality. Lead controls development for complex machinery and automated handling systems. Integrate conveyors, robotics, gantries and third-party automation equipment . Support machinery risk assessments, validation and CE/UKCA compliance . Ensure designs meet relevant functional safety, international standards and cybersecurity requirements. Support machine commissioning, FAT and SAT activities. Provide technical support for complex troubleshooting, modifications and upgrades. Mentor junior controls and electrical engineers and support continuous improvement. Technical Experience The successful candidate should have strong experience within controls engineering, industrial automation or special purpose machinery , including: Significant PLC programming experience. Strong Siemens TIA Portal experience. S7-1500 PLCs . SINAMICS drives . Siemens safety systems . WinCC HMI/SCADA development. Servo systems and multi-axis motion control . Automated handling and material-handling systems. Experience with conveyors, robotics and/or gantries . Complex machinery or special purpose machinery projects. Industrial communications including Profinet, Ethernet/IP, OPC UA and Modbus . Practical understanding of machine safety legislation. CE/UKCA compliance experience. Understanding of functional safety principles and standards. Machinery risk assessments and validation. Industrial cybersecurity awareness. Allen-Bradley experience would be beneficial, particularly alongside Siemens migration projects. Leadership & Personal Skills Experience mentoring and supporting other engineers. Ability to influence technical direction and engineering standards. Strong problem-solving and stakeholder-management skills. Comfortable communicating with customers, suppliers and senior management. Able to work collaboratively across mechanical, electrical, service and project teams. Health & Safety You will be expected to comply with all relevant health, safety and company procedures, ensuring machinery and engineering activities are undertaken safely and in accordance with applicable standards.
Company: Global Retail Company Position: Infrastructure Specialist Contract: 1-year fixed term contract Location: London (Hybrid) Salary: 60 000 GBP + 10% Bonus Job responsibilities: 1. Retail Store Expansion & Operations New Store Delivery: Lead and execute the end-to-end technical infrastructure setup for new store openings, refits, relocations, and brand pop-ups across Europe. This includes configuring and deploying POS hardware, network printers, scanners, mobile tablets, and payment terminals. Store Network Connectivity: Deploy and optimize local in-store networks, focusing on stable retail WiFi, localized LAN environments, and secure SD-WAN configurations. L2/L3 Incident Resolution: Serve as the final escalation point for in-store technology failures, proactively monitoring uptime and troubleshooting device, data feed, and connectivity drops to minimize commercial downtime. 2. Warehouse Tech Readiness & 3PL Coordination Logistics Network Engineering: Act as the primary technical point of contact during third-party logistics (3PL) partner onboarding, warehouse moves, and facility expansions. Secure Environment Bridging: Establish and maintain secure, high-availability VPN tunnels and SD-WAN routing paths between our core network and external 3PL environments. RF & Hardware Onboarding: Configure and manage localized warehouse hardware, including RF guns, industrial handheld scanners, barcode label printers, and dedicated logistics VLANs. Network Security Guardrails: Manage firewall rules, routing rules, and strict IP whitelisting to ensure 3PL integrations align with corporate cybersecurity frameworks. 3. Core Enterprise Infrastructure & SAP Backing Network Architecture Management: Oversee and scale EMEA-wide network routing, switching, firewalls, and enterprise identity management systems. SAP Technical Prerequisites: Manage critical infrastructure prerequisites that fuel our SAP-centric strategy, including network print routing, RFC endpoints, secure connectivity paths, and POS-to-ERP transaction queues. Global Architecture Alignment: Partner closely with global architecture units to ensure European implementations conform to standard global design baselines. 4. Information Security, Governance & Compliance Endpoint Protection: Enforce corporate cybersecurity standards across all endpoints using modern Identity Lifecycle mechanisms (Entra ID/Azure AD) and device compliance tools (Microsoft Intune/MDM). Threat & Risk Management: Monitor, identify, and remediate environment vulnerabilities. Support penetration testing schedules, deploy Multi-Factor Authentication (MFA), and maintain device encryption policies. Data Protection Compliance: Ensure all localized retail systems and warehouse practices comply directly with GDPR, IT General Controls (ITGC), and corporate data breach prevention playbooks. 5. Office IT Operations & Service Delivery Corporate Workplace Operations: Manage daily IT infrastructure across EMEA offices and showrooms, covering corporate hardware lifecycles (Windows/MacOS), M365 systems, conferencing technology, and automated onboarding/offboarding workflows. Vendor SLA Management: Manage local and regional hardware vendors, telecom partners, field support agencies, and POS providers, holding them accountable to strict ticket resolution timelines via ServiceNow. Asset Management & Playbooks: Build and update detailed IT asset registers alongside infrastructure configurations, store deployment playbooks, and standardized troubleshooting runbooks. Experience 10+ years of progressive, hands-on experience in IT Infrastructure, Network Engineering, and Technical Operations roles. Sector Background: Documented experience supporting multi-site environments within Retail, Fashion, Logistics/Supply Chain, or Fast-Paced Hospitality brands. Store Tech Fluency: Expert understanding of physical retail tech stacks, including modern POS ecosystems, network payment routing, mobile registers, and store-wide coverage WiFi deployment. 3PL/Logistics Coordination: Proven success collaborating with external 3PL logistics operators to set up network configurations, firewalls, IP whitelisting, and specialized warehouse devices. Modern Device Governance: Mastery of endpoint management through Microsoft Intune / MDM solutions and user access lifecycles inside Entra ID (Azure AD). SAP Connectivity Awareness: Direct exposure to managing network prerequisites for SAP integration feeds, document printing routing, and stable system-to-system connections. Highly Desirable Certifications: Cisco CCNA, CompTIA Network+, Microsoft 365/Intune certifications, or ITIL foundational framework knowledge. We regret to inform applicants that only shortlisted candidates will be notified. Thank you for understanding.
Aug 23, 2026
Contractor
Company: Global Retail Company Position: Infrastructure Specialist Contract: 1-year fixed term contract Location: London (Hybrid) Salary: 60 000 GBP + 10% Bonus Job responsibilities: 1. Retail Store Expansion & Operations New Store Delivery: Lead and execute the end-to-end technical infrastructure setup for new store openings, refits, relocations, and brand pop-ups across Europe. This includes configuring and deploying POS hardware, network printers, scanners, mobile tablets, and payment terminals. Store Network Connectivity: Deploy and optimize local in-store networks, focusing on stable retail WiFi, localized LAN environments, and secure SD-WAN configurations. L2/L3 Incident Resolution: Serve as the final escalation point for in-store technology failures, proactively monitoring uptime and troubleshooting device, data feed, and connectivity drops to minimize commercial downtime. 2. Warehouse Tech Readiness & 3PL Coordination Logistics Network Engineering: Act as the primary technical point of contact during third-party logistics (3PL) partner onboarding, warehouse moves, and facility expansions. Secure Environment Bridging: Establish and maintain secure, high-availability VPN tunnels and SD-WAN routing paths between our core network and external 3PL environments. RF & Hardware Onboarding: Configure and manage localized warehouse hardware, including RF guns, industrial handheld scanners, barcode label printers, and dedicated logistics VLANs. Network Security Guardrails: Manage firewall rules, routing rules, and strict IP whitelisting to ensure 3PL integrations align with corporate cybersecurity frameworks. 3. Core Enterprise Infrastructure & SAP Backing Network Architecture Management: Oversee and scale EMEA-wide network routing, switching, firewalls, and enterprise identity management systems. SAP Technical Prerequisites: Manage critical infrastructure prerequisites that fuel our SAP-centric strategy, including network print routing, RFC endpoints, secure connectivity paths, and POS-to-ERP transaction queues. Global Architecture Alignment: Partner closely with global architecture units to ensure European implementations conform to standard global design baselines. 4. Information Security, Governance & Compliance Endpoint Protection: Enforce corporate cybersecurity standards across all endpoints using modern Identity Lifecycle mechanisms (Entra ID/Azure AD) and device compliance tools (Microsoft Intune/MDM). Threat & Risk Management: Monitor, identify, and remediate environment vulnerabilities. Support penetration testing schedules, deploy Multi-Factor Authentication (MFA), and maintain device encryption policies. Data Protection Compliance: Ensure all localized retail systems and warehouse practices comply directly with GDPR, IT General Controls (ITGC), and corporate data breach prevention playbooks. 5. Office IT Operations & Service Delivery Corporate Workplace Operations: Manage daily IT infrastructure across EMEA offices and showrooms, covering corporate hardware lifecycles (Windows/MacOS), M365 systems, conferencing technology, and automated onboarding/offboarding workflows. Vendor SLA Management: Manage local and regional hardware vendors, telecom partners, field support agencies, and POS providers, holding them accountable to strict ticket resolution timelines via ServiceNow. Asset Management & Playbooks: Build and update detailed IT asset registers alongside infrastructure configurations, store deployment playbooks, and standardized troubleshooting runbooks. Experience 10+ years of progressive, hands-on experience in IT Infrastructure, Network Engineering, and Technical Operations roles. Sector Background: Documented experience supporting multi-site environments within Retail, Fashion, Logistics/Supply Chain, or Fast-Paced Hospitality brands. Store Tech Fluency: Expert understanding of physical retail tech stacks, including modern POS ecosystems, network payment routing, mobile registers, and store-wide coverage WiFi deployment. 3PL/Logistics Coordination: Proven success collaborating with external 3PL logistics operators to set up network configurations, firewalls, IP whitelisting, and specialized warehouse devices. Modern Device Governance: Mastery of endpoint management through Microsoft Intune / MDM solutions and user access lifecycles inside Entra ID (Azure AD). SAP Connectivity Awareness: Direct exposure to managing network prerequisites for SAP integration feeds, document printing routing, and stable system-to-system connections. Highly Desirable Certifications: Cisco CCNA, CompTIA Network+, Microsoft 365/Intune certifications, or ITIL foundational framework knowledge. We regret to inform applicants that only shortlisted candidates will be notified. Thank you for understanding.
Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity The Head of AI will play a pivotal role on our executive leadership team, working in close partnership with both the innovation and technology teams to shape the strategic direction of the firm's key initiatives. You will be the catalyst of our partnership between our executive leaders and their teams, building and leading the execution of strategies that propel transformation of products and services through our AI innovation to ensure we are the most technologically sophisticated asset manager globally. This role demands a blend of technological understanding, strategic foresight, and Growth-oriented excellence as an approach to guide our firm in these next stages of transformation. You will report directly to the Chief Executive Officer and be a member of the firm's senior leadership team. You will have regular engagement with the firm's Board of Directors as well as with legal entity and fund boards. This is a diverse role, with essential factors that must be carefully considered when executing our broader strategy, including-but not limited to-security, risk management, finance, regulatory compliance, governance, and user best practices. It's how we enhance every relationship and provide a superior service, leveraging AI to deliver personalized insights and proactive solutions, enabling our clients to make more informed decisions and achieve their goals with greater confidence and efficiency - they are at the forefront of everything we do. The newly created Head of Department ensures that the firm leverages AI ethically and effectively to gain insights-improving investment research, enhancing client experiences, and optimizing operations. They establish frameworks for AI adoption, recognizing that instilling ethical AI methodologies with multiple lenses and a strong leadership vision is critical in our journey. This individual combines technical expertise in AI with a data-driven approach, understanding that data is our competitive advantage and demands the highest standards of accuracy, transparency, and trust. AI will be seamlessly embedded throughout our organization, empowering us to harness data at every level-ensuring we anticipate market trends, make informed decisions, and consistently stay ahead of the competition. Establishing the Head of AI role is not just a strategic decision-it's a necessity for our continued growth and leadership in the industry. We are fully committed to embedding this position at the core of our organization, ensuring you receive the focus and resources required for lasting impact. This is a responsibility we take seriously, and we are dedicated to upholding the highest standards as we advance our AI-driven future. We are setting the standard for innovation and excellence to become the most technologically sophisticated asset manager globally and so you will need to demonstrate a deep understanding of our clients, anticipating their needs and delivering tailored solutions that consistently exceed expectations. Key Responsibilities Driven Strategic Leadership: Serve as the driving force behind innovation by developing and implementing a cohesive AI and technology strategy that aligns with our aspirations. Be the key enabler who accelerates progress and ensures both short-term impact and long-term transformation through advanced artificial intelligence initiatives, driving results and turning vision into reality Innovation: Lead research and development initiatives to drive AI-powered innovation, continuously evaluating emerging artificial intelligence, learning prospects and strategically assessing their potential applications to advance our business objectives Advocacy and Thought Leadership: Serve as a thought leader and strategic ambassador for AI, representing to both internal and external stakeholders. Champion the adoption of advanced artificial intelligence technologies that propel our goals throughout the business and position the company at the forefront of AI-driven innovation within the investment industry Team Development: Build and mentor a high-performing AI and technology team, fostering an inclusive environment that encourages continuous learning and innovation. Support both individual growth and department objectives by equipping team members with advanced AI skills and expertise. Develop the next generation of AI leaders to drive the firm's future success Standards Development Oversight: Collaborate closely with wider technology, finance and risk teams to establish, implement, and uphold rigorous AI standards and best practices throughout product design and development and usage. Ensure consistency, quality, and ethical integrity in all AI-driven solutions Technology Infrastructure Insight: Apply a comprehensive understanding of technical infrastructure to guide the development and implementation of robust, scalable, and secure systems. Ensure the architecture effectively supports current and future AI initiatives and business needs Risk Management: Proactively identify and mitigate risks associated with AI technologies across the company. Implement comprehensive data security and privacy protocols tailored to AI systems, ensuring the protection of both company and customer data while maintaining ethical and responsible AI practices Data Management: Oversee the governance, quality, and integrity of data used in AI systems across the company. Implement robust data management in partnership with data engineering teams for protocols to ensure accuracy, security, and compliance, enabling responsible and effective use of data to power advanced AI initiatives. Cyber Security: Leverage your understanding of AI technologies to enforce robust processes, systems, and controls that proactively protect the firm against internal and external cybersecurity threats. Ensure continuous engagement with our cyber capabilities to maintain a strong and resilient security alignment. Relationship Management: Collaborate with leading AI technology providers to enhance our solutions, accelerate innovation, and secure a sustained competitive advantage. Financial Planning and Budget Management: Develop and manage the AI and technology budget, ensuring resources are strategically allocated to advance key AI initiatives. Leverage data-driven insights to maximize ROI, support innovation, and drive year-on-year improvements in efficiency and impact. Emerging Technology: Keep the firm at the forefront of technological advances in AI. Monitor industry trends (like new AI techniques, fintech innovations, or regulatory changes around AI) and evaluate their applicability to the firm. Lead innovation initiatives or pilot programs and assess ROI. Advocate for investments and capabilities where they can yield competitive advantage across the board. Clients Come First: Our clients are at the heart of everything we do-AI and technology are leveraged to ensure their experience and partnership always take priority, delivering personalized solutions and unwavering support regardless of market conditions. Understanding how we run our business is fundamental in providing the service they come to rely on us for. Required Qualifications Education: Master's in Computer Science, Data Science, Statistics, Engineering, or related quantitative field. Experience: 10+ years of experience in AI strategy and transformation with related technology roles, with at least 5 years in a leadership or managerial capacity. Extensive experience in senior transformation leadership and partnership, with a proven track record of strategic AI planning and execution, driving the successful adoption and integration of advanced artificial intelligence solutions across an organization. Demonstrated experience leading AI-driven research and development (R&D) initiatives, with a strong track record of bringing innovative products to market. Committed to continuous improvement and personal upskilling, consistently leading by example and fostering a culture of learning and advancement within the team. Proven experience in building and developing a high-performing team is essential-fostering a culture of collaboration and innovation to ensure we consistently deliver exceptional results for our clients through the effective use of AI and advanced technology Comprehensive understanding of how core technology disciplines-including software development, system architecture, and cybersecurity-interconnect and support the broader technology ecosystem within an organization. Exceptional leadership skills, with experience in building and nurturing high-performing teams Exceptional communication skills . click apply for full job details
Aug 22, 2026
Full time
Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together. Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always Execution Supersedes Intention Together We Win Diversity Improves Results Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity The Head of AI will play a pivotal role on our executive leadership team, working in close partnership with both the innovation and technology teams to shape the strategic direction of the firm's key initiatives. You will be the catalyst of our partnership between our executive leaders and their teams, building and leading the execution of strategies that propel transformation of products and services through our AI innovation to ensure we are the most technologically sophisticated asset manager globally. This role demands a blend of technological understanding, strategic foresight, and Growth-oriented excellence as an approach to guide our firm in these next stages of transformation. You will report directly to the Chief Executive Officer and be a member of the firm's senior leadership team. You will have regular engagement with the firm's Board of Directors as well as with legal entity and fund boards. This is a diverse role, with essential factors that must be carefully considered when executing our broader strategy, including-but not limited to-security, risk management, finance, regulatory compliance, governance, and user best practices. It's how we enhance every relationship and provide a superior service, leveraging AI to deliver personalized insights and proactive solutions, enabling our clients to make more informed decisions and achieve their goals with greater confidence and efficiency - they are at the forefront of everything we do. The newly created Head of Department ensures that the firm leverages AI ethically and effectively to gain insights-improving investment research, enhancing client experiences, and optimizing operations. They establish frameworks for AI adoption, recognizing that instilling ethical AI methodologies with multiple lenses and a strong leadership vision is critical in our journey. This individual combines technical expertise in AI with a data-driven approach, understanding that data is our competitive advantage and demands the highest standards of accuracy, transparency, and trust. AI will be seamlessly embedded throughout our organization, empowering us to harness data at every level-ensuring we anticipate market trends, make informed decisions, and consistently stay ahead of the competition. Establishing the Head of AI role is not just a strategic decision-it's a necessity for our continued growth and leadership in the industry. We are fully committed to embedding this position at the core of our organization, ensuring you receive the focus and resources required for lasting impact. This is a responsibility we take seriously, and we are dedicated to upholding the highest standards as we advance our AI-driven future. We are setting the standard for innovation and excellence to become the most technologically sophisticated asset manager globally and so you will need to demonstrate a deep understanding of our clients, anticipating their needs and delivering tailored solutions that consistently exceed expectations. Key Responsibilities Driven Strategic Leadership: Serve as the driving force behind innovation by developing and implementing a cohesive AI and technology strategy that aligns with our aspirations. Be the key enabler who accelerates progress and ensures both short-term impact and long-term transformation through advanced artificial intelligence initiatives, driving results and turning vision into reality Innovation: Lead research and development initiatives to drive AI-powered innovation, continuously evaluating emerging artificial intelligence, learning prospects and strategically assessing their potential applications to advance our business objectives Advocacy and Thought Leadership: Serve as a thought leader and strategic ambassador for AI, representing to both internal and external stakeholders. Champion the adoption of advanced artificial intelligence technologies that propel our goals throughout the business and position the company at the forefront of AI-driven innovation within the investment industry Team Development: Build and mentor a high-performing AI and technology team, fostering an inclusive environment that encourages continuous learning and innovation. Support both individual growth and department objectives by equipping team members with advanced AI skills and expertise. Develop the next generation of AI leaders to drive the firm's future success Standards Development Oversight: Collaborate closely with wider technology, finance and risk teams to establish, implement, and uphold rigorous AI standards and best practices throughout product design and development and usage. Ensure consistency, quality, and ethical integrity in all AI-driven solutions Technology Infrastructure Insight: Apply a comprehensive understanding of technical infrastructure to guide the development and implementation of robust, scalable, and secure systems. Ensure the architecture effectively supports current and future AI initiatives and business needs Risk Management: Proactively identify and mitigate risks associated with AI technologies across the company. Implement comprehensive data security and privacy protocols tailored to AI systems, ensuring the protection of both company and customer data while maintaining ethical and responsible AI practices Data Management: Oversee the governance, quality, and integrity of data used in AI systems across the company. Implement robust data management in partnership with data engineering teams for protocols to ensure accuracy, security, and compliance, enabling responsible and effective use of data to power advanced AI initiatives. Cyber Security: Leverage your understanding of AI technologies to enforce robust processes, systems, and controls that proactively protect the firm against internal and external cybersecurity threats. Ensure continuous engagement with our cyber capabilities to maintain a strong and resilient security alignment. Relationship Management: Collaborate with leading AI technology providers to enhance our solutions, accelerate innovation, and secure a sustained competitive advantage. Financial Planning and Budget Management: Develop and manage the AI and technology budget, ensuring resources are strategically allocated to advance key AI initiatives. Leverage data-driven insights to maximize ROI, support innovation, and drive year-on-year improvements in efficiency and impact. Emerging Technology: Keep the firm at the forefront of technological advances in AI. Monitor industry trends (like new AI techniques, fintech innovations, or regulatory changes around AI) and evaluate their applicability to the firm. Lead innovation initiatives or pilot programs and assess ROI. Advocate for investments and capabilities where they can yield competitive advantage across the board. Clients Come First: Our clients are at the heart of everything we do-AI and technology are leveraged to ensure their experience and partnership always take priority, delivering personalized solutions and unwavering support regardless of market conditions. Understanding how we run our business is fundamental in providing the service they come to rely on us for. Required Qualifications Education: Master's in Computer Science, Data Science, Statistics, Engineering, or related quantitative field. Experience: 10+ years of experience in AI strategy and transformation with related technology roles, with at least 5 years in a leadership or managerial capacity. Extensive experience in senior transformation leadership and partnership, with a proven track record of strategic AI planning and execution, driving the successful adoption and integration of advanced artificial intelligence solutions across an organization. Demonstrated experience leading AI-driven research and development (R&D) initiatives, with a strong track record of bringing innovative products to market. Committed to continuous improvement and personal upskilling, consistently leading by example and fostering a culture of learning and advancement within the team. Proven experience in building and developing a high-performing team is essential-fostering a culture of collaboration and innovation to ensure we consistently deliver exceptional results for our clients through the effective use of AI and advanced technology Comprehensive understanding of how core technology disciplines-including software development, system architecture, and cybersecurity-interconnect and support the broader technology ecosystem within an organization. Exceptional leadership skills, with experience in building and nurturing high-performing teams Exceptional communication skills . click apply for full job details
Senior Security Architect (contractor)- Data Protection & Azure Cloud Security Rate: Flexible Duration: 1 year Hybrid working - 8 days onsite per month (Inside of IR35) We are looking for an experienced Senior Security Architect to join a major enterprise cybersecurity function, taking a leading role in the design and governance of security architecture across Data Protection and Cloud Security . This is a senior architecture position within a large, complex and highly regulated environment. You will work across business, technology, engineering, risk and security teams to ensure new applications, platforms and cloud solutions are designed securely from the outset. A major focus of the role will be enterprise data protection and Azure cloud security , including the architecture and governance of controls covering data classification, discovery, labelling, lifecycle management and protection of sensitive information. Key Responsibilities Lead the design and delivery of end-to-end security architecture across enterprise applications, platforms and cloud environments. Develop high-level security designs and translate business, technology and risk requirements into practical security architecture. Define and maintain security architecture principles, standards, patterns and reusable design guidance . Provide architecture governance and design assurance, challenging proposed solutions and ensuring security requirements are addressed throughout the delivery lifecycle. Act as a Subject Matter Expert for Data Protection and Cloud Security , providing technical guidance to architecture, engineering and business teams. Design and govern enterprise data protection and data security controls , including: Data discovery and inventory Data classification and sensitivity labelling Data Loss Prevention (DLP) Data governance Data retention and disposal Data lifecycle controls Protection of structured and unstructured information Encryption and access controls Support the secure design and adoption of Microsoft Azure , alongside AWS, SaaS and hybrid-cloud environments. Ensure appropriate security controls across applications, infrastructure, identities, networks and data. Translate cyber risks and regulatory requirements into appropriate security controls and non-functional requirements (NFRs) . Conduct and support security architecture reviews, threat/risk assessments and design validation. Work closely with Enterprise Architecture, Engineering, Cloud, DevSecOps, Risk, Compliance and CISO teams. Identify gaps within the existing security landscape and recommend improvements. Support secure technology adoption and major transformation initiatives. Essential Experience We are looking for candidates with strong experience across both Security Architecture and Data/Cloud Security . You should have: Significant experience as a Security Architect, Cyber Security Architect, Security Solution Architect or Enterprise Security Architect . Proven experience delivering end-to-end security architecture within large and complex organisations. Strong knowledge of security architecture governance, including standards, patterns, design reviews and architecture assurance . Strong Data Protection / Data Security Architecture experience. Experience with data classification, discovery, inventory, labelling, governance, retention/disposal and lifecycle controls. Understanding of security controls for both structured and unstructured data . Strong Microsoft Azure Security architecture experience. Good knowledge of AWS, SaaS and hybrid/multi-cloud security. Experience securing enterprise applications, infrastructure and cloud platforms. Understanding of IAM, Zero Trust, encryption, key management and access-control principles. Ability to translate risk assessments and regulatory requirements into technical security architecture. Experience working within regulatory frameworks such as GDPR, DORA, PCI-DSS, SOX and/or SWIFT CSP . Excellent communication skills with the ability to engage with senior stakeholders, architects, engineers, risk and compliance teams. Highly Desirable Experience with Microsoft Purview , particularly Information Protection, data classification, sensitivity labelling, DLP and information governance. Experience defining data-protection architecture across Azure and Microsoft 365 environments. Financial Services, Banking, Payments, Market Infrastructure or other highly regulated/critical infrastructure experience. Experience with security architecture frameworks such as SABSA, TOGAF or similar . Knowledge of DevSecOps and secure SDLC practices. Experience working within Agile delivery environments and across multiple release trains. Relevant certifications such as CISSP, CCSP, SABSA, TOGAF, Azure Security/Architecture, CISM or equivalent . Rates depend on experience and client requirements
Aug 22, 2026
Contractor
Senior Security Architect (contractor)- Data Protection & Azure Cloud Security Rate: Flexible Duration: 1 year Hybrid working - 8 days onsite per month (Inside of IR35) We are looking for an experienced Senior Security Architect to join a major enterprise cybersecurity function, taking a leading role in the design and governance of security architecture across Data Protection and Cloud Security . This is a senior architecture position within a large, complex and highly regulated environment. You will work across business, technology, engineering, risk and security teams to ensure new applications, platforms and cloud solutions are designed securely from the outset. A major focus of the role will be enterprise data protection and Azure cloud security , including the architecture and governance of controls covering data classification, discovery, labelling, lifecycle management and protection of sensitive information. Key Responsibilities Lead the design and delivery of end-to-end security architecture across enterprise applications, platforms and cloud environments. Develop high-level security designs and translate business, technology and risk requirements into practical security architecture. Define and maintain security architecture principles, standards, patterns and reusable design guidance . Provide architecture governance and design assurance, challenging proposed solutions and ensuring security requirements are addressed throughout the delivery lifecycle. Act as a Subject Matter Expert for Data Protection and Cloud Security , providing technical guidance to architecture, engineering and business teams. Design and govern enterprise data protection and data security controls , including: Data discovery and inventory Data classification and sensitivity labelling Data Loss Prevention (DLP) Data governance Data retention and disposal Data lifecycle controls Protection of structured and unstructured information Encryption and access controls Support the secure design and adoption of Microsoft Azure , alongside AWS, SaaS and hybrid-cloud environments. Ensure appropriate security controls across applications, infrastructure, identities, networks and data. Translate cyber risks and regulatory requirements into appropriate security controls and non-functional requirements (NFRs) . Conduct and support security architecture reviews, threat/risk assessments and design validation. Work closely with Enterprise Architecture, Engineering, Cloud, DevSecOps, Risk, Compliance and CISO teams. Identify gaps within the existing security landscape and recommend improvements. Support secure technology adoption and major transformation initiatives. Essential Experience We are looking for candidates with strong experience across both Security Architecture and Data/Cloud Security . You should have: Significant experience as a Security Architect, Cyber Security Architect, Security Solution Architect or Enterprise Security Architect . Proven experience delivering end-to-end security architecture within large and complex organisations. Strong knowledge of security architecture governance, including standards, patterns, design reviews and architecture assurance . Strong Data Protection / Data Security Architecture experience. Experience with data classification, discovery, inventory, labelling, governance, retention/disposal and lifecycle controls. Understanding of security controls for both structured and unstructured data . Strong Microsoft Azure Security architecture experience. Good knowledge of AWS, SaaS and hybrid/multi-cloud security. Experience securing enterprise applications, infrastructure and cloud platforms. Understanding of IAM, Zero Trust, encryption, key management and access-control principles. Ability to translate risk assessments and regulatory requirements into technical security architecture. Experience working within regulatory frameworks such as GDPR, DORA, PCI-DSS, SOX and/or SWIFT CSP . Excellent communication skills with the ability to engage with senior stakeholders, architects, engineers, risk and compliance teams. Highly Desirable Experience with Microsoft Purview , particularly Information Protection, data classification, sensitivity labelling, DLP and information governance. Experience defining data-protection architecture across Azure and Microsoft 365 environments. Financial Services, Banking, Payments, Market Infrastructure or other highly regulated/critical infrastructure experience. Experience with security architecture frameworks such as SABSA, TOGAF or similar . Knowledge of DevSecOps and secure SDLC practices. Experience working within Agile delivery environments and across multiple release trains. Relevant certifications such as CISSP, CCSP, SABSA, TOGAF, Azure Security/Architecture, CISM or equivalent . Rates depend on experience and client requirements
Senior IT Operations Manager Deep Sea Electronics is a global leader in the design and manufacture of generator controllers, automatic transfer switch controllers, battery chargers, and vehicle and off-highway control systems. With over 200 employees across four continents, we supply our products to customers in more than 150 countries, both directly from our UK head office and through a well-established international distributor network. This is a hands-on senior leadership role responsible for shaping and delivering the organisation's IT strategy, while maintaining overall accountability for the day-to-day management and operational performance of the IT function. The role holder will assume end-to-end responsibility for the company's IT function, providing strategic and operational leadership across all technology services, infrastructure, networks, systems, applications, cybersecurity, and end-user support. They will ensure that technology capabilities are secure, resilient, scalable, and aligned with the organisation's business objectives. The successful candidate will lead both the IT team, establish and embed robust IT governance and change management processes, and take ownership of the organisation's cybersecurity programme, including leading the journey towards ISO 27001 accreditation. They will be accountable for service delivery, infrastructure performance, information security, technology risk management, and the development and execution of the long-term IT roadmap. Operating within a manufacturing environment, the role requires close collaboration with the organisation's parent company to ensure effective alignment, integration, and standardisation of IT services and strategic initiatives where appropriate. As a key member of the leadership team, the postholder will act as a trusted advisor and stakeholder to directors and senior business leaders, translating business requirements into technology solutions and ensuring IT investments deliver measurable business value. The Senior IT Operations Manager is a senior operational leadership position requiring an individual who can successfully balance strategic thinking with hands-on technical oversight. The right candidate will be equally comfortable resolving complex infrastructure challenges, leading and developing technical teams, and presenting technology strategy, risks, and opportunities to senior leadership. The Senior IT Operations Manager will be responsible for: IT Leadership and Direction Define and deliver the IT strategy aligned with overall business objectives and group direction across all technology services Act as the senior IT advisor to the leadership team, contributing to business planning and decision-making Develop a scalable and secure IT architecture to support future growth and international operations Drive continuous improvement across the organisation IT Infrastructure & Operations Responsible for the day-to-day performance, availability, and reliability of all IT infrastructure including networks, servers, end-user computing, cloud, VoIP, and connectivity services Ensure IT support services are delivered to agreed SLAs across all sites Oversee system maintenance, patching, upgrades, and capacity planning Supporting a complex engineering environment Own disaster recovery and business continuity planning, documentation, and regular testing Parent Company Integration & Change Management Act as the primary senior business stakeholder for IT integration and alignment activities with our parent company. Taking part in international IT team meetings and activities Design, implement, and embed a structured IT change management process from the ground up, ensuring it is adopted and followed consistently across the business Align the change management framework with parent company requirements where applicable, whilst protecting local operational continuity Cyber Security & ISO 27001 Lead the organisation's ISO 27001 accreditation programme from scoping through to certification Maintain and improve the day-to-day cyber security posture of the business Ensure alignment with international and parent company cybersecurity standards. Ensure disaster recovery, data protection, and business continuity plans are fit for purpose and regularly tested Manage compliance with relevant legal and regulatory requirements relating to IT systems and data Team Leadership & Development Lead, manage, and develop the IT team covering both support and network/infrastructure functions Set clear objectives, performance standards, and personal development plans for all team members Support the development of apprentices and longer-serving employees, building capability and reducing key-person dependency. Foster a proactive, service-oriented culture within the IT function Budget & Vendor Management Own and manage the IT budget, ensuring accurate forecasting and cost control Manage supplier and third-party relationships, holding vendors accountable for service quality and value Oversee procurement of IT systems, hardware, software, and services Why you should be our new Senior IT Operations Manager: 25 days holiday + Bank Holidays Company-wide performance-based annual bonus scheme Bupa Healthcare package + Life Assurance Enhanced Maternity/Paternity pay 5% Pension contributions Flexible holiday scheme
Aug 22, 2026
Full time
Senior IT Operations Manager Deep Sea Electronics is a global leader in the design and manufacture of generator controllers, automatic transfer switch controllers, battery chargers, and vehicle and off-highway control systems. With over 200 employees across four continents, we supply our products to customers in more than 150 countries, both directly from our UK head office and through a well-established international distributor network. This is a hands-on senior leadership role responsible for shaping and delivering the organisation's IT strategy, while maintaining overall accountability for the day-to-day management and operational performance of the IT function. The role holder will assume end-to-end responsibility for the company's IT function, providing strategic and operational leadership across all technology services, infrastructure, networks, systems, applications, cybersecurity, and end-user support. They will ensure that technology capabilities are secure, resilient, scalable, and aligned with the organisation's business objectives. The successful candidate will lead both the IT team, establish and embed robust IT governance and change management processes, and take ownership of the organisation's cybersecurity programme, including leading the journey towards ISO 27001 accreditation. They will be accountable for service delivery, infrastructure performance, information security, technology risk management, and the development and execution of the long-term IT roadmap. Operating within a manufacturing environment, the role requires close collaboration with the organisation's parent company to ensure effective alignment, integration, and standardisation of IT services and strategic initiatives where appropriate. As a key member of the leadership team, the postholder will act as a trusted advisor and stakeholder to directors and senior business leaders, translating business requirements into technology solutions and ensuring IT investments deliver measurable business value. The Senior IT Operations Manager is a senior operational leadership position requiring an individual who can successfully balance strategic thinking with hands-on technical oversight. The right candidate will be equally comfortable resolving complex infrastructure challenges, leading and developing technical teams, and presenting technology strategy, risks, and opportunities to senior leadership. The Senior IT Operations Manager will be responsible for: IT Leadership and Direction Define and deliver the IT strategy aligned with overall business objectives and group direction across all technology services Act as the senior IT advisor to the leadership team, contributing to business planning and decision-making Develop a scalable and secure IT architecture to support future growth and international operations Drive continuous improvement across the organisation IT Infrastructure & Operations Responsible for the day-to-day performance, availability, and reliability of all IT infrastructure including networks, servers, end-user computing, cloud, VoIP, and connectivity services Ensure IT support services are delivered to agreed SLAs across all sites Oversee system maintenance, patching, upgrades, and capacity planning Supporting a complex engineering environment Own disaster recovery and business continuity planning, documentation, and regular testing Parent Company Integration & Change Management Act as the primary senior business stakeholder for IT integration and alignment activities with our parent company. Taking part in international IT team meetings and activities Design, implement, and embed a structured IT change management process from the ground up, ensuring it is adopted and followed consistently across the business Align the change management framework with parent company requirements where applicable, whilst protecting local operational continuity Cyber Security & ISO 27001 Lead the organisation's ISO 27001 accreditation programme from scoping through to certification Maintain and improve the day-to-day cyber security posture of the business Ensure alignment with international and parent company cybersecurity standards. Ensure disaster recovery, data protection, and business continuity plans are fit for purpose and regularly tested Manage compliance with relevant legal and regulatory requirements relating to IT systems and data Team Leadership & Development Lead, manage, and develop the IT team covering both support and network/infrastructure functions Set clear objectives, performance standards, and personal development plans for all team members Support the development of apprentices and longer-serving employees, building capability and reducing key-person dependency. Foster a proactive, service-oriented culture within the IT function Budget & Vendor Management Own and manage the IT budget, ensuring accurate forecasting and cost control Manage supplier and third-party relationships, holding vendors accountable for service quality and value Oversee procurement of IT systems, hardware, software, and services Why you should be our new Senior IT Operations Manager: 25 days holiday + Bank Holidays Company-wide performance-based annual bonus scheme Bupa Healthcare package + Life Assurance Enhanced Maternity/Paternity pay 5% Pension contributions Flexible holiday scheme
Our Mission At Omnea, we're reinventing how enterprise businesses operate, starting with the most painful parts: procurement - where a single purchase can drag on for months, trigger 50+ emails, and pull in Finance, Legal, Security, and IT just to get something approved. We've raised $75M from Khosla Ventures, Insight Partners, and Accel to change that. Our AI-native platform connects every person, step, and system so buying is fast, safe, and efficient - one place to request, automated approvals and renewals, real-time supplier risk, and complete spend visibility. The opportunity is massive. Every enterprise on the planet has this problem and nobody has solved it. We've 10x'd ARR to double-digit millions in 18 months and are trusted by global enterprises like Spotify, MongoDB, Monzo, and Albertsons. We're now the 4th fastest growing startup in Europe & the Sunday Times' Best Medium Sized Tech Company To Work for. Our team previously scaled Tessian (cybersecurity tech, backed by Sequoia, Balderton, Accel, acquired post-Series C), and our team includes ex-founders operators who've grown unicorns, shipped world-class products, and executed at the highest levels. You'll work alongside leaders like Ben, Abs, Sabrina, and Rebe. Find out more about the team and life at Omnea here. The Role AI is changing what it means to deploy enterprise software. Configuring a customer's procurement workflows used to mean weeks of manual setup, integration by integration, edge case by edge case. Increasingly, that first-draft build work can be directed rather than done by hand: AI agents can generate workflow configurations, draft integration mappings, and produce the initial pass on a customer's setup. The job shifts with it. Instead of building every workflow yourself, you specify exactly what needs to exist, direct AI to build it, and apply the judgment AI can't: is this the right configuration for this customer's approval policy, will Legal and Finance actually sign off on it, does it hold up once real spend starts flowing through it. In practice, that might mean catching that the approval chain AI just drafted works perfectly for HQ, but misses a regional delegation-of-authority rule that would fail an audit in the customer's APAC entity. As Omnea's AI Solutions Lead, you own deployment of the Omnea platform end to end - typically running 3-5 enterprise deployments concurrently - for some of Europe's most recognisable companies. You advise customers on the best-fit configuration, direct AI-assisted build work to get there fast, and validate every output against what the customer actually needs. You'll also deal with the politics that come with every enterprise rollout: the Legal team wanting one more sign-off, the Finance stakeholder who doesn't trust the new approval flow, the exec sponsor who's gone quiet. You become the internal voice of the customer, and you're judged on outcomes you can point to: time to launch, post-go-live CSAT, and whether that customer becomes a case study or reference. This is an early hire on Omnea's customer team, working directly with our sales, customer, product, and engineering leadership. The future shape of the role is yours to define! What You'll Do Discover and design Run discovery with customer stakeholders across Procurement, Finance, Legal, and IT, and translate their process into an Omnea configuration Design the target workflow: approval chains, routing logic, integrations, and the edge cases that make procurement hard On a deployment with a dozen-plus integrations, you own the sequencing - what has to land first, what blocks what - and the harder calls underneath it: which system is the source of truth for a given entity, and how records reconcile when two systems key that entity differently Define success criteria and a realistic path to go-live with the customer's project sponsor Build with AI, not instead of it You're not just directing AI to draft your own deliverables faster - you're configuring the specialized agents Omnea's customers rely on every day: an intake agent that knows how to ask a procurement analyst the right follow-up question, a risk agent that flags what actually matters to this customer's Legal team The real leverage comes from chaining agents together - an intake agent that hands clean, structured requests to a risk agent, which in turn routes into approvals with the right context already attached. You design how those agents work as a system, not just individually Writing a spec for one agent is a skill. Writing one that holds up across a chain of agents - where one agent's output becomes another's input - is the actual bar here Validate every AI-generated output against the customer's actual process, policy, and edge cases before anything ships Handle what AI can't: judgment calls on ambiguous requirements, custom logic, and anything that needs a human read on internal politics Deploy and prove value Present configured workflows to stakeholders, from procurement analysts to CFOs, working through the pushback and internal politics that come with any enterprise rollout, and win their buy-in Run multi-day onsite workshops with customers, coordinating dozens of stakeholders across multiple workstreams at once - a different muscle than a single stakeholder meeting Project-manage the deployment: timelines, blockers, stakeholder alignment, and a clear path to launch, acting as an extension of the customer's team Track adoption after go-live and keep the configuration working as the customer's process evolves Work with Product and Engineering during the design phase, not just after something breaks in the field - you're often the earliest signal on whether a new module will hold up for an enterprise customer, and that shapes what gets built next What's Different About This Role You'll spend more time specifying and validating than building from scratch. AI produces the first draft; you make sure it's right for this customer Writing instructions AI can act on precisely is a skill you'll build fast here. Vague requests produce vague configurations Judgment matters more, not less. AI speeds up the build, but you decide whether the output is right for this contract, this Board, this customer You'll keep experimenting as our AI tooling evolves, and share what works with the rest of the team About You We don't expect you to know how to do all of this on day one. TL;DR: you're ambitious and hard-working, as comfortable directing an AI agent through a tricky configuration as you are presenting a project plan to an exec. You make up for any gap in experience with hunger and a genuine growth mindset. You derive energy from building relationships, shipping projects, and making customers succeed. 4-8 years in a fast-paced, high-bar environment: a startup, scale-up, consulting, banking, or something you built yourself Less experience? Check out our Solutions Associate role Comfortable directing AI tools to produce first-draft work, and confident enough in your own judgment to catch what's wrong. Prior use of tools like ChatGPT, Claude, or Cursor is a strong plus. What matters most is your ability to write clear, specific instructions and evaluate what comes back Client-facing experience, or the natural gravitas to be excellent at it. You can point to a time you went well beyond what a client expected A track record of doing something exceptionally well, whether that's work, academia, sport, or anything else you've put your mind to Comfortable reasoning about system architecture - how data models, primary keys, and integration sequencing interact across a dozen enterprise systems. You don't need to write the integration code, but you need to know why it breaks and be able to reason with the people who do, and you'll need to become an Omnea product expert You build real relationships with people at any level, from a junior procurement analyst to a CFO, and know how to handle pushback and stakeholder politics, not just build rapport Comfortable running rooms of stakeholders across a genuinely cross-functional tool - on a single project you'll interface with the CPO, Legal, Finance, AP, InfoSec, and Compliance, plus each of their technical resources, often all with competing priorities on the same decision Comfortable moving between the detail and the big picture: configuring a workflow in the morning, presenting a project plan to an exec in the afternoon Entrepreneurial, have high ownership, and want to be part of building something. We've signed up to the Future Founder Promise An excellent communicator: clear and concise, verbal and written, even when the subject is complicated Highly organised: comfortable running 3-5 enterprise deployments concurrently, each at a different stage, without dropping any of them At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out. A few things to note: We offer competitive geo-localised benefits, and you can check out our UK Benefits Package here and our US Benefits Package here. We work Tuesdays . click apply for full job details
Aug 22, 2026
Full time
Our Mission At Omnea, we're reinventing how enterprise businesses operate, starting with the most painful parts: procurement - where a single purchase can drag on for months, trigger 50+ emails, and pull in Finance, Legal, Security, and IT just to get something approved. We've raised $75M from Khosla Ventures, Insight Partners, and Accel to change that. Our AI-native platform connects every person, step, and system so buying is fast, safe, and efficient - one place to request, automated approvals and renewals, real-time supplier risk, and complete spend visibility. The opportunity is massive. Every enterprise on the planet has this problem and nobody has solved it. We've 10x'd ARR to double-digit millions in 18 months and are trusted by global enterprises like Spotify, MongoDB, Monzo, and Albertsons. We're now the 4th fastest growing startup in Europe & the Sunday Times' Best Medium Sized Tech Company To Work for. Our team previously scaled Tessian (cybersecurity tech, backed by Sequoia, Balderton, Accel, acquired post-Series C), and our team includes ex-founders operators who've grown unicorns, shipped world-class products, and executed at the highest levels. You'll work alongside leaders like Ben, Abs, Sabrina, and Rebe. Find out more about the team and life at Omnea here. The Role AI is changing what it means to deploy enterprise software. Configuring a customer's procurement workflows used to mean weeks of manual setup, integration by integration, edge case by edge case. Increasingly, that first-draft build work can be directed rather than done by hand: AI agents can generate workflow configurations, draft integration mappings, and produce the initial pass on a customer's setup. The job shifts with it. Instead of building every workflow yourself, you specify exactly what needs to exist, direct AI to build it, and apply the judgment AI can't: is this the right configuration for this customer's approval policy, will Legal and Finance actually sign off on it, does it hold up once real spend starts flowing through it. In practice, that might mean catching that the approval chain AI just drafted works perfectly for HQ, but misses a regional delegation-of-authority rule that would fail an audit in the customer's APAC entity. As Omnea's AI Solutions Lead, you own deployment of the Omnea platform end to end - typically running 3-5 enterprise deployments concurrently - for some of Europe's most recognisable companies. You advise customers on the best-fit configuration, direct AI-assisted build work to get there fast, and validate every output against what the customer actually needs. You'll also deal with the politics that come with every enterprise rollout: the Legal team wanting one more sign-off, the Finance stakeholder who doesn't trust the new approval flow, the exec sponsor who's gone quiet. You become the internal voice of the customer, and you're judged on outcomes you can point to: time to launch, post-go-live CSAT, and whether that customer becomes a case study or reference. This is an early hire on Omnea's customer team, working directly with our sales, customer, product, and engineering leadership. The future shape of the role is yours to define! What You'll Do Discover and design Run discovery with customer stakeholders across Procurement, Finance, Legal, and IT, and translate their process into an Omnea configuration Design the target workflow: approval chains, routing logic, integrations, and the edge cases that make procurement hard On a deployment with a dozen-plus integrations, you own the sequencing - what has to land first, what blocks what - and the harder calls underneath it: which system is the source of truth for a given entity, and how records reconcile when two systems key that entity differently Define success criteria and a realistic path to go-live with the customer's project sponsor Build with AI, not instead of it You're not just directing AI to draft your own deliverables faster - you're configuring the specialized agents Omnea's customers rely on every day: an intake agent that knows how to ask a procurement analyst the right follow-up question, a risk agent that flags what actually matters to this customer's Legal team The real leverage comes from chaining agents together - an intake agent that hands clean, structured requests to a risk agent, which in turn routes into approvals with the right context already attached. You design how those agents work as a system, not just individually Writing a spec for one agent is a skill. Writing one that holds up across a chain of agents - where one agent's output becomes another's input - is the actual bar here Validate every AI-generated output against the customer's actual process, policy, and edge cases before anything ships Handle what AI can't: judgment calls on ambiguous requirements, custom logic, and anything that needs a human read on internal politics Deploy and prove value Present configured workflows to stakeholders, from procurement analysts to CFOs, working through the pushback and internal politics that come with any enterprise rollout, and win their buy-in Run multi-day onsite workshops with customers, coordinating dozens of stakeholders across multiple workstreams at once - a different muscle than a single stakeholder meeting Project-manage the deployment: timelines, blockers, stakeholder alignment, and a clear path to launch, acting as an extension of the customer's team Track adoption after go-live and keep the configuration working as the customer's process evolves Work with Product and Engineering during the design phase, not just after something breaks in the field - you're often the earliest signal on whether a new module will hold up for an enterprise customer, and that shapes what gets built next What's Different About This Role You'll spend more time specifying and validating than building from scratch. AI produces the first draft; you make sure it's right for this customer Writing instructions AI can act on precisely is a skill you'll build fast here. Vague requests produce vague configurations Judgment matters more, not less. AI speeds up the build, but you decide whether the output is right for this contract, this Board, this customer You'll keep experimenting as our AI tooling evolves, and share what works with the rest of the team About You We don't expect you to know how to do all of this on day one. TL;DR: you're ambitious and hard-working, as comfortable directing an AI agent through a tricky configuration as you are presenting a project plan to an exec. You make up for any gap in experience with hunger and a genuine growth mindset. You derive energy from building relationships, shipping projects, and making customers succeed. 4-8 years in a fast-paced, high-bar environment: a startup, scale-up, consulting, banking, or something you built yourself Less experience? Check out our Solutions Associate role Comfortable directing AI tools to produce first-draft work, and confident enough in your own judgment to catch what's wrong. Prior use of tools like ChatGPT, Claude, or Cursor is a strong plus. What matters most is your ability to write clear, specific instructions and evaluate what comes back Client-facing experience, or the natural gravitas to be excellent at it. You can point to a time you went well beyond what a client expected A track record of doing something exceptionally well, whether that's work, academia, sport, or anything else you've put your mind to Comfortable reasoning about system architecture - how data models, primary keys, and integration sequencing interact across a dozen enterprise systems. You don't need to write the integration code, but you need to know why it breaks and be able to reason with the people who do, and you'll need to become an Omnea product expert You build real relationships with people at any level, from a junior procurement analyst to a CFO, and know how to handle pushback and stakeholder politics, not just build rapport Comfortable running rooms of stakeholders across a genuinely cross-functional tool - on a single project you'll interface with the CPO, Legal, Finance, AP, InfoSec, and Compliance, plus each of their technical resources, often all with competing priorities on the same decision Comfortable moving between the detail and the big picture: configuring a workflow in the morning, presenting a project plan to an exec in the afternoon Entrepreneurial, have high ownership, and want to be part of building something. We've signed up to the Future Founder Promise An excellent communicator: clear and concise, verbal and written, even when the subject is complicated Highly organised: comfortable running 3-5 enterprise deployments concurrently, each at a different stage, without dropping any of them At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out. A few things to note: We offer competitive geo-localised benefits, and you can check out our UK Benefits Package here and our US Benefits Package here. We work Tuesdays . click apply for full job details
Cloud Security Consultant x 3 UK Wide Up to 100,000 + Benefits We are seeking experienced Cloud Security Consultants to join a growing cybersecurity practice delivering complex cloud security solutions across a range of enterprise and public sector environments You will play a key role in ensuring cloud environments are designed and deployed in line with security best practices, regulatory requirements, and modern security frameworks. You will be involved in designing secure cloud solutions, conducting security reviews, supporting cloud transformation initiatives, and advising stakeholders on how to manage security risks across cloud platforms. Key Responsibilities Support clients in developing enterprise security use cases aligned to their cloud strategy. Design and build security reference architectures across public, private, and hybrid cloud environments. Collaborate with technical teams on the architecture, design, and implementation of secure cloud solutions. Develop secure cloud architectures, governance frameworks, and security operating models. Protect cloud environments across network, application, identity, and data layers. Produce security, configuration, deployment, and DevSecOps models for cloud-based services. Conduct threat modelling exercises and security design reviews as part of secure-by-design initiatives. Required Skills & Experience Minimum 3 years' experience working as a Cloud Security Consultant, Cloud Security Architect, or similar security-focused consulting role. Experience supporting organisations with cloud security strategy and enterprise security use cases. Strong understanding of cloud security architecture principles. Experience designing secure public, private, and hybrid cloud environments. Knowledge of security governance, risk management, and compliance frameworks. Proven experience conducting threat modelling and security design reviews. Experience implementing secure-by-design principles. Familiarity with DevSecOps practices and secure deployment methodologies. Technical Experience Microsoft Azure Security AWS Security Google Cloud Platform (GCP) Security Identity & Access Management (IAM) Zero Trust Architecture Security Architecture & Governance DevSecOps Cloud Security Posture Management (CSPM) Security Automation & Orchestration Threat Modelling Secure Cloud Landing Zones
Aug 22, 2026
Full time
Cloud Security Consultant x 3 UK Wide Up to 100,000 + Benefits We are seeking experienced Cloud Security Consultants to join a growing cybersecurity practice delivering complex cloud security solutions across a range of enterprise and public sector environments You will play a key role in ensuring cloud environments are designed and deployed in line with security best practices, regulatory requirements, and modern security frameworks. You will be involved in designing secure cloud solutions, conducting security reviews, supporting cloud transformation initiatives, and advising stakeholders on how to manage security risks across cloud platforms. Key Responsibilities Support clients in developing enterprise security use cases aligned to their cloud strategy. Design and build security reference architectures across public, private, and hybrid cloud environments. Collaborate with technical teams on the architecture, design, and implementation of secure cloud solutions. Develop secure cloud architectures, governance frameworks, and security operating models. Protect cloud environments across network, application, identity, and data layers. Produce security, configuration, deployment, and DevSecOps models for cloud-based services. Conduct threat modelling exercises and security design reviews as part of secure-by-design initiatives. Required Skills & Experience Minimum 3 years' experience working as a Cloud Security Consultant, Cloud Security Architect, or similar security-focused consulting role. Experience supporting organisations with cloud security strategy and enterprise security use cases. Strong understanding of cloud security architecture principles. Experience designing secure public, private, and hybrid cloud environments. Knowledge of security governance, risk management, and compliance frameworks. Proven experience conducting threat modelling and security design reviews. Experience implementing secure-by-design principles. Familiarity with DevSecOps practices and secure deployment methodologies. Technical Experience Microsoft Azure Security AWS Security Google Cloud Platform (GCP) Security Identity & Access Management (IAM) Zero Trust Architecture Security Architecture & Governance DevSecOps Cloud Security Posture Management (CSPM) Security Automation & Orchestration Threat Modelling Secure Cloud Landing Zones
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. 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 Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like 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. Banking operations at this scale generate AI challenges that simply do not exist elsewhere - legacy system integration, regulatory auditability requirements, multi jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Equal Employment Opportunity Citi is an equal opportunity and affirmative action employer . click apply for full job details
Aug 22, 2026
Full time
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. 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 Bachelor's degree required; Master's in CS, AI/ML, or related field preferred. What Success Looks Like 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. Banking operations at this scale generate AI challenges that simply do not exist elsewhere - legacy system integration, regulatory auditability requirements, multi jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Equal Employment Opportunity Citi is an equal opportunity and affirmative action employer . click apply for full job details
Mission: The role is based on Large New Build Systems Projects across multiple sectors, including Commercial Real Estate, Hospitals, Prisons, Defence, and Data Centres. The role requires working as part of a small team under the supervision of the Lead Engineer to design, deliver and commission the Schneider BMS solution. This position offers responsibility, accelerated development, and clear progression opportunities. Responsibilities: Design, develop, and engineer BMS solutions based on project requirements and specifications. Collaborate with customers, sales teams, and project managers to understand project objectives and provide technical expertise during pre sales and bidding processes. Create detailed engineering designs, including control strategies, network architecture, and equipment selection, ensuring compliance with industry standards and customer specifications. Develop and review project documentation, including functional specifications, technical drawings, and control narratives. Configure and program BMS controllers, sensors, and field devices to enable seamless integration and functionality. Maintain working competence in relevant BMS software and programming tools using Script and Function Block. Integrate and commission third party plant using industry protocols such as BACnet/IP, Modbus TCP/RTU, LonWorks, and other proprietary interfaces. Interface with and integrate PLC based systems commonly used across large scale environments (e.g., packaged plant, medical systems, custodial environments, energy centres, critical power infrastructure). Conduct system testing, troubleshooting, and commissioning to verify proper operation and performance across a range of building types. Skills & Experience: Proven experience in designing and implementing BMS projects. Proficiency in BMS software platforms (e.g., Schneider Electric's EcoStruxure Building Operation, Siemens Desigo, Johnson Controls Metasys). Strong understanding of building automation and communication protocols including BACnet, Modbus, LonWorks, and IP networking. Experience working with ASPs (Application Specific Controllers) and integrating with PLCs used in commercial, healthcare, custodial, defence, and critical infrastructure projects. Knowledge and experience of Schneider Electric BMS products preferred but not essential. Solid understanding of HVAC, electrical systems, and building services engineering. Excellent problem solving skills, with the ability to diagnose and resolve complex technical issues. Effective communication and interpersonal skills to work with diverse stakeholders. Willingness to travel to customer sites as required with potential lodge away. Building Controls Engineer ECS or CSCS equivalent card. UK Driving Licence. Education: HND/HNC in Building Services or Engineering or Bachelor's Degree in a related M&E, Building Services, or Electronics discipline, or equivalent professional experience. Vocational qualifications with relevant industry training. Electrical qualifications desirable but not essential. At Schneider Electric, Diversity & Inclusion is at the heart of our organisation, it's an integral part of our history, culture, and identity. We recognise that embracing diversity unlocks innovation and creativity and fosters collaboration. We want our employees to reflect the diversity of our communities and the customers we serve. As a result, our teams are stronger to drive the company's future. "We are proudly participating in the Disability Confident Program offering support to people in the workplace who consider themselves living with a disability." What we offer you: Competitive salary & Bonus Scheme, 28 Days Annual Leave + Public Holidays, Holiday Buy & Sell programme, Pension Scheme, Employee Share Ownership Programme, Various Health & Wellbeing Support Options, Gym Flex, Open Talent Market (internal mobility opportunities + access to mentors & projects globally), Shopping & Dining Discounts, Learning Portal and much more. Apply now: Please submit an online application to be considered for any position with us. You know about us, so let us learn about you! Apply today. Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric - apply today! €36 billion global revenue % organic growth + employees in 100+ countries on the Global 100 World's most sustainable corporations You must submit an online application to be considered for any position with us. This position will be posted until filled. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
Aug 21, 2026
Full time
Mission: The role is based on Large New Build Systems Projects across multiple sectors, including Commercial Real Estate, Hospitals, Prisons, Defence, and Data Centres. The role requires working as part of a small team under the supervision of the Lead Engineer to design, deliver and commission the Schneider BMS solution. This position offers responsibility, accelerated development, and clear progression opportunities. Responsibilities: Design, develop, and engineer BMS solutions based on project requirements and specifications. Collaborate with customers, sales teams, and project managers to understand project objectives and provide technical expertise during pre sales and bidding processes. Create detailed engineering designs, including control strategies, network architecture, and equipment selection, ensuring compliance with industry standards and customer specifications. Develop and review project documentation, including functional specifications, technical drawings, and control narratives. Configure and program BMS controllers, sensors, and field devices to enable seamless integration and functionality. Maintain working competence in relevant BMS software and programming tools using Script and Function Block. Integrate and commission third party plant using industry protocols such as BACnet/IP, Modbus TCP/RTU, LonWorks, and other proprietary interfaces. Interface with and integrate PLC based systems commonly used across large scale environments (e.g., packaged plant, medical systems, custodial environments, energy centres, critical power infrastructure). Conduct system testing, troubleshooting, and commissioning to verify proper operation and performance across a range of building types. Skills & Experience: Proven experience in designing and implementing BMS projects. Proficiency in BMS software platforms (e.g., Schneider Electric's EcoStruxure Building Operation, Siemens Desigo, Johnson Controls Metasys). Strong understanding of building automation and communication protocols including BACnet, Modbus, LonWorks, and IP networking. Experience working with ASPs (Application Specific Controllers) and integrating with PLCs used in commercial, healthcare, custodial, defence, and critical infrastructure projects. Knowledge and experience of Schneider Electric BMS products preferred but not essential. Solid understanding of HVAC, electrical systems, and building services engineering. Excellent problem solving skills, with the ability to diagnose and resolve complex technical issues. Effective communication and interpersonal skills to work with diverse stakeholders. Willingness to travel to customer sites as required with potential lodge away. Building Controls Engineer ECS or CSCS equivalent card. UK Driving Licence. Education: HND/HNC in Building Services or Engineering or Bachelor's Degree in a related M&E, Building Services, or Electronics discipline, or equivalent professional experience. Vocational qualifications with relevant industry training. Electrical qualifications desirable but not essential. At Schneider Electric, Diversity & Inclusion is at the heart of our organisation, it's an integral part of our history, culture, and identity. We recognise that embracing diversity unlocks innovation and creativity and fosters collaboration. We want our employees to reflect the diversity of our communities and the customers we serve. As a result, our teams are stronger to drive the company's future. "We are proudly participating in the Disability Confident Program offering support to people in the workplace who consider themselves living with a disability." What we offer you: Competitive salary & Bonus Scheme, 28 Days Annual Leave + Public Holidays, Holiday Buy & Sell programme, Pension Scheme, Employee Share Ownership Programme, Various Health & Wellbeing Support Options, Gym Flex, Open Talent Market (internal mobility opportunities + access to mentors & projects globally), Shopping & Dining Discounts, Learning Portal and much more. Apply now: Please submit an online application to be considered for any position with us. You know about us, so let us learn about you! Apply today. Looking to make an IMPACT with your career? When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. Become an IMPACT Maker with Schneider Electric - apply today! €36 billion global revenue % organic growth + employees in 100+ countries on the Global 100 World's most sustainable corporations You must submit an online application to be considered for any position with us. This position will be posted until filled. At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
Verso Recruitment Group
Nottingham, Nottinghamshire
Job Title: Senior Embedded Software Engineer / C++/Networking (Ethernet, TCP/IP etc) Location: Nottingham Salary: £65,000 to £80,000 basic + benefits Hybrid working: Ideally local, able to work on-site 2/3 days a week. Open to people further afield and in the office less if they have an ideal background. They cannot offer sponsorship in this role Are you a Senior Embedded Software Engineer looking for a role where you can have a genuine influence on the next generation of connected products? To apply for this role, you must have a strong background in embedded software engineering, experience of embedded C & C++ programming and good knowledge/experience of networking technologies/communication protocols (Ethernet or TCP/IP or UDP or IP networking or HTTPS or network protocols). We re working with an established technology business developing sophisticated connected electronic products for international markets. They re now looking to strengthen their engineering team with a Senior Embedded Software Engineer who can take ownership of embedded development, secure connectivity and cybersecurity across their product portfolio. This is a hands-on engineering role rather than a purely architectural or managerial position. You ll be writing production code, solving complex technical problems and working closely with hardware, firmware, software, test and compliance teams. Senior Embedded Software Engineer / C++/Networking (Ethernet, TCP/IP etc) The role: You ll be responsible for developing and implementing secure, network-connected functionality within embedded products. Your work will include: Designing and developing embedded software for connected products Writing, reviewing, testing and maintaining production-quality code Implementing secure communication protocols. Working with networking technologies and RFC-based networking principles Developing low-level software and device drivers Working with peripherals including SPI, I2C, I2S and UART Contributing to software architecture, design reviews and technical problem solving Senior Embedded Software Engineer / C++/Networking (Ethernet, TCP/IP etc) What We're Looking For: Experienced in embedded software development , with a strong background in connected, wireless or other high-technology products. We're particularly interested in engineers with: Strong Embedded C and C++ experience Experience developing production code for real-time embedded systems Experience with network-connected products and TCP/IP, Ethernet, UDP, IP networking, HTTP/S or similar protocols Practical experience implementing secure communications or cybersecurity functionality ARM Cortex-M or similar microcontroller experience RTOS experience such as FreeRTOS, ThreadX or Azure RTOS Bare-metal development and low-level driver development experience Why Join? This is an opportunity to join a highly technical engineering environment where embedded software is central to the development of the company's next generation of products. You'll have the opportunity to work across embedded software, networking, cybersecurity and hardware , while having significant ownership over the solutions you develop. If you're an experienced Embedded Software Engineer who enjoys getting close to the technology and wants to work on genuinely interesting connected products, we'd be keen to hear from you. If you have any specific questions about this Senior Embedded Software Engineer / C++/Networking (Ethernet, TCP/IP etc) role, please call David on (phone number removed) / (url removed)
Aug 21, 2026
Full time
Job Title: Senior Embedded Software Engineer / C++/Networking (Ethernet, TCP/IP etc) Location: Nottingham Salary: £65,000 to £80,000 basic + benefits Hybrid working: Ideally local, able to work on-site 2/3 days a week. Open to people further afield and in the office less if they have an ideal background. They cannot offer sponsorship in this role Are you a Senior Embedded Software Engineer looking for a role where you can have a genuine influence on the next generation of connected products? To apply for this role, you must have a strong background in embedded software engineering, experience of embedded C & C++ programming and good knowledge/experience of networking technologies/communication protocols (Ethernet or TCP/IP or UDP or IP networking or HTTPS or network protocols). We re working with an established technology business developing sophisticated connected electronic products for international markets. They re now looking to strengthen their engineering team with a Senior Embedded Software Engineer who can take ownership of embedded development, secure connectivity and cybersecurity across their product portfolio. This is a hands-on engineering role rather than a purely architectural or managerial position. You ll be writing production code, solving complex technical problems and working closely with hardware, firmware, software, test and compliance teams. Senior Embedded Software Engineer / C++/Networking (Ethernet, TCP/IP etc) The role: You ll be responsible for developing and implementing secure, network-connected functionality within embedded products. Your work will include: Designing and developing embedded software for connected products Writing, reviewing, testing and maintaining production-quality code Implementing secure communication protocols. Working with networking technologies and RFC-based networking principles Developing low-level software and device drivers Working with peripherals including SPI, I2C, I2S and UART Contributing to software architecture, design reviews and technical problem solving Senior Embedded Software Engineer / C++/Networking (Ethernet, TCP/IP etc) What We're Looking For: Experienced in embedded software development , with a strong background in connected, wireless or other high-technology products. We're particularly interested in engineers with: Strong Embedded C and C++ experience Experience developing production code for real-time embedded systems Experience with network-connected products and TCP/IP, Ethernet, UDP, IP networking, HTTP/S or similar protocols Practical experience implementing secure communications or cybersecurity functionality ARM Cortex-M or similar microcontroller experience RTOS experience such as FreeRTOS, ThreadX or Azure RTOS Bare-metal development and low-level driver development experience Why Join? This is an opportunity to join a highly technical engineering environment where embedded software is central to the development of the company's next generation of products. You'll have the opportunity to work across embedded software, networking, cybersecurity and hardware , while having significant ownership over the solutions you develop. If you're an experienced Embedded Software Engineer who enjoys getting close to the technology and wants to work on genuinely interesting connected products, we'd be keen to hear from you. If you have any specific questions about this Senior Embedded Software Engineer / C++/Networking (Ethernet, TCP/IP etc) role, please call David on (phone number removed) / (url removed)
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 unsolved at this level of complexity, 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: Technological 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: 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 click apply for full job details
Aug 21, 2026
Full time
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 unsolved at this level of complexity, 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: Technological 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: 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 click apply for full job details
About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance. The Role Quality at OLIX is not a support function, it is a strategic pillar. As we drive toward tape-out and the transition from development to production, we need a Director of Quality who will build the quality infrastructure that OLIX's technology deserves: rigorous enough to satisfy world-class customers and partners, and lean enough to move at the pace our mission demands. This is a founding quality leadership role. OLIX is a fabless company: we build our products through a global network of best-in-class manufacturing and supply-chain partners, which means quality at OLIX is won or lost in the supply chain. You will define what quality means for novel optical computing technology, build our Quality Management System from a blank page, own supplier and partner quality across our manufacturing ecosystem, and be the quality voice at every critical decision point from tape-out readiness through to deployment. OLIX systems are designed for deployment at datacentre scale, so quality does not end at shipment. You will own reliability from component qualification through to fleet performance in the field, and you will scale the quality organisation as OLIX grows from first product launch into high-volume manufacturing. Key Responsibilities Quality Management System Design, implement, and own OLIX's Quality Management System from the ground up, targeting ISO 9001 certification and laying the foundation for more advanced standards as the business scales Define quality policies, procedures, metrics, document control, and CAPA processes that are fit for a fast-moving fabless company: rigorous without being bureaucratic Establish quality gates and review processes across the full product lifecycle, from design sign-off through tape-out, manufacturing, test, and deployment Build a quality culture at OLIX, partnering with engineering and operations teams to embed quality thinking early Supplier & Partner Quality Own the supplier quality programme across OLIX's foundry, OSAT, contract manufacturer, and component ecosystem, spanning silicon, advanced packaging, optical components, and compound semiconductor supply Lead supplier qualification, audits, corrective action programmes, and ongoing performance management through structured KPIs and scorecards Define and manage incoming inspection and acceptance criteria for wafers, substrates, optical components, and materials arriving from the supply chain Build OLIX's approved supplier list and qualification documentation to the standard required by tier-1 customers and strategic partners Product Qualification & Reliability Own the product qualification strategy for OLIX's silicon, optical components, modules, and systems: reliability test plans, qualification flows, and acceptance criteria informed by JEDEC and Telcordia GR-468 or equivalent standards Lead Design for Reliability reviews alongside engineering and manufacturing teams, ensuring quality implications are factored into design decisions before commitments are made Stand up failure analysis capability and FRACAS processes to close the loop on development, manufacturing, and field quality issues Drive yield, defect, and reliability improvement programmes across manufacturing partners using structured methodologies including SPC, FMEA, 8D, and DOE Manufacturing & Fleet Quality Establish manufacturing quality systems with OSAT and contract manufacturing partners: process capability, control plans, PFMEA, escape prevention, and data-driven continuous improvement Define quality and compliance requirements for OLIX's internal cleanroom and pilot manufacturing capability, including equipment safety and conformity Own field quality for deployed systems: fleet reliability metrics, field failure analysis, and corrective action loops that feed back into design and manufacturing Regulatory Compliance & Certification Ensure OLIX products meet applicable regulatory and certification requirements for datacentre deployment, including CE and UKCA marking, product safety (IEC 62368-1), laser safety (IEC 60825), EMC and EMI, RoHS, REACH, conflict minerals, and cybersecurity requirements under the Cyber Resilience Act Define and manage compliance validation activities with test houses, notified bodies, and certification partners across target markets Skills & Experience 12+ years in Quality Engineering or Quality Management within the semiconductor, photonics, electronics, or advanced manufacturing industries, including at least five years leading teams Demonstrated experience building a Quality Management System from the ground up in a fabless or early-stage environment, then scaling it through NPI into volume production Deep supplier quality expertise managing foundries, OSATs, and contract manufacturers in an outsourced manufacturing model Strong grounding in semiconductor and optoelectronic qualification and reliability: JEDEC, Telcordia GR-468, or equivalent standards Hands-on proficiency with quality tools and methodologies: SPC, FMEA and PFMEA, control plans, 8D, DOE, and CAPA Experience leading product compliance and certification for electronic hardware, including CE or UKCA, safety, and EMC Comfortable operating hands-on in a fast-moving, pre-scale environment: able to define standards without over-engineering them, and to build the team as the company grows Willingness to travel regularly to manufacturing partners across Taiwan, Japan, the US, and Europe Bachelor's degree in Engineering, Physics, Materials Science, or a related technical discipline Nice to Have Experience with optical or photonic component reliability, including laser-based components Datacentre or hyperscaler hardware quality experience, including fleet reliability and RAS ISO 9001 Lead Auditor certification, ASQ CQE or CMQ/OE, or Six Sigma Black Belt Master's degree in Engineering, Quality, Manufacturing, or Business Administration Compensation & Equity Competitive Salary: Commensurate with your experience, skills, and location Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer an annual Living-Local Bonus if your residence is within 20 minutes of the office Retirement Benefits:Employer-contributed retirement plans to help you build long-term financial security Due to U.S. export control regulations, candidates' eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.
Aug 21, 2026
Full time
About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance. The Role Quality at OLIX is not a support function, it is a strategic pillar. As we drive toward tape-out and the transition from development to production, we need a Director of Quality who will build the quality infrastructure that OLIX's technology deserves: rigorous enough to satisfy world-class customers and partners, and lean enough to move at the pace our mission demands. This is a founding quality leadership role. OLIX is a fabless company: we build our products through a global network of best-in-class manufacturing and supply-chain partners, which means quality at OLIX is won or lost in the supply chain. You will define what quality means for novel optical computing technology, build our Quality Management System from a blank page, own supplier and partner quality across our manufacturing ecosystem, and be the quality voice at every critical decision point from tape-out readiness through to deployment. OLIX systems are designed for deployment at datacentre scale, so quality does not end at shipment. You will own reliability from component qualification through to fleet performance in the field, and you will scale the quality organisation as OLIX grows from first product launch into high-volume manufacturing. Key Responsibilities Quality Management System Design, implement, and own OLIX's Quality Management System from the ground up, targeting ISO 9001 certification and laying the foundation for more advanced standards as the business scales Define quality policies, procedures, metrics, document control, and CAPA processes that are fit for a fast-moving fabless company: rigorous without being bureaucratic Establish quality gates and review processes across the full product lifecycle, from design sign-off through tape-out, manufacturing, test, and deployment Build a quality culture at OLIX, partnering with engineering and operations teams to embed quality thinking early Supplier & Partner Quality Own the supplier quality programme across OLIX's foundry, OSAT, contract manufacturer, and component ecosystem, spanning silicon, advanced packaging, optical components, and compound semiconductor supply Lead supplier qualification, audits, corrective action programmes, and ongoing performance management through structured KPIs and scorecards Define and manage incoming inspection and acceptance criteria for wafers, substrates, optical components, and materials arriving from the supply chain Build OLIX's approved supplier list and qualification documentation to the standard required by tier-1 customers and strategic partners Product Qualification & Reliability Own the product qualification strategy for OLIX's silicon, optical components, modules, and systems: reliability test plans, qualification flows, and acceptance criteria informed by JEDEC and Telcordia GR-468 or equivalent standards Lead Design for Reliability reviews alongside engineering and manufacturing teams, ensuring quality implications are factored into design decisions before commitments are made Stand up failure analysis capability and FRACAS processes to close the loop on development, manufacturing, and field quality issues Drive yield, defect, and reliability improvement programmes across manufacturing partners using structured methodologies including SPC, FMEA, 8D, and DOE Manufacturing & Fleet Quality Establish manufacturing quality systems with OSAT and contract manufacturing partners: process capability, control plans, PFMEA, escape prevention, and data-driven continuous improvement Define quality and compliance requirements for OLIX's internal cleanroom and pilot manufacturing capability, including equipment safety and conformity Own field quality for deployed systems: fleet reliability metrics, field failure analysis, and corrective action loops that feed back into design and manufacturing Regulatory Compliance & Certification Ensure OLIX products meet applicable regulatory and certification requirements for datacentre deployment, including CE and UKCA marking, product safety (IEC 62368-1), laser safety (IEC 60825), EMC and EMI, RoHS, REACH, conflict minerals, and cybersecurity requirements under the Cyber Resilience Act Define and manage compliance validation activities with test houses, notified bodies, and certification partners across target markets Skills & Experience 12+ years in Quality Engineering or Quality Management within the semiconductor, photonics, electronics, or advanced manufacturing industries, including at least five years leading teams Demonstrated experience building a Quality Management System from the ground up in a fabless or early-stage environment, then scaling it through NPI into volume production Deep supplier quality expertise managing foundries, OSATs, and contract manufacturers in an outsourced manufacturing model Strong grounding in semiconductor and optoelectronic qualification and reliability: JEDEC, Telcordia GR-468, or equivalent standards Hands-on proficiency with quality tools and methodologies: SPC, FMEA and PFMEA, control plans, 8D, DOE, and CAPA Experience leading product compliance and certification for electronic hardware, including CE or UKCA, safety, and EMC Comfortable operating hands-on in a fast-moving, pre-scale environment: able to define standards without over-engineering them, and to build the team as the company grows Willingness to travel regularly to manufacturing partners across Taiwan, Japan, the US, and Europe Bachelor's degree in Engineering, Physics, Materials Science, or a related technical discipline Nice to Have Experience with optical or photonic component reliability, including laser-based components Datacentre or hyperscaler hardware quality experience, including fleet reliability and RAS ISO 9001 Lead Auditor certification, ASQ CQE or CMQ/OE, or Six Sigma Black Belt Master's degree in Engineering, Quality, Manufacturing, or Business Administration Compensation & Equity Competitive Salary: Commensurate with your experience, skills, and location Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer an annual Living-Local Bonus if your residence is within 20 minutes of the office Retirement Benefits:Employer-contributed retirement plans to help you build long-term financial security Due to U.S. export control regulations, candidates' eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.
Cyber Security Contractors (Multiple Opportunities) SC Cleared 594/day Remote UK Location: UK Remote (occasional client-site visits required) Contract: Inside IR35 Rate: 594 per day (Umbrella) Duration: Until March 2027 Security Clearance: Active SC Clearance Required We are supporting a major, long-term Cyber Security Programme and are seeking experienced SC-cleared professionals across several specialist disciplines. These are excellent opportunities to join a high-profile programme delivering critical security services within a complex environment. Opportunities Available Security Architect (Cloud Security) Key responsibilities include: Cloud security architecture and design assurance Security assessments and risk reviews Development and implementation of security standards, patterns, and best practices Collaboration with technical and business stakeholders to ensure secure-by-design solutions Experience required: Strong cloud security architecture background Experience with enterprise cloud platforms (AWS, Azure, or GCP) Security design and assurance expertise Knowledge of security frameworks and standards Security Operations Analyst Key responsibilities include: Security operations monitoring and analysis Cyber threat intelligence assessment Threat modelling and risk identification Incident investigation and security event analysis Experience required: Security Operations Centre (SOC) or cyber defence experience Hands-on threat intelligence and analysis capability Threat modelling expertise Strong understanding of cyber security technologies and processes Threat Intelligence Analyst Key responsibilities include: Production of threat intelligence reports and assessments Analysis of Indicators of Compromise (IOCs) and Tactics, Techniques & Procedures (TTPs) Tracking emerging cyber threats and threat actors Supporting security architecture and operational security decision-making Experience required: Proven cyber threat intelligence background Experience analysing threat actor activity and attack methodologies Strong reporting and stakeholder engagement skills Knowledge of intelligence frameworks such as MITRE ATT&CK Information Assurance Consultant Key responsibilities include: Information Assurance (IA) and Governance, Risk & Compliance (GRC) activities Quality assurance and quality management support Business Continuity and Disaster Recovery (BCDR) planning and assessment Policy, controls, and compliance reviews Experience required: Strong IA/GRC experience Knowledge of security governance frameworks Experience in quality management and assurance activities BCDR planning and implementation expertise Essential Requirements Active SC Clearance (mandatory) Proven experience within the relevant cyber security discipline Ability to work effectively in complex stakeholder environments Strong communication and reporting skills
Aug 20, 2026
Contractor
Cyber Security Contractors (Multiple Opportunities) SC Cleared 594/day Remote UK Location: UK Remote (occasional client-site visits required) Contract: Inside IR35 Rate: 594 per day (Umbrella) Duration: Until March 2027 Security Clearance: Active SC Clearance Required We are supporting a major, long-term Cyber Security Programme and are seeking experienced SC-cleared professionals across several specialist disciplines. These are excellent opportunities to join a high-profile programme delivering critical security services within a complex environment. Opportunities Available Security Architect (Cloud Security) Key responsibilities include: Cloud security architecture and design assurance Security assessments and risk reviews Development and implementation of security standards, patterns, and best practices Collaboration with technical and business stakeholders to ensure secure-by-design solutions Experience required: Strong cloud security architecture background Experience with enterprise cloud platforms (AWS, Azure, or GCP) Security design and assurance expertise Knowledge of security frameworks and standards Security Operations Analyst Key responsibilities include: Security operations monitoring and analysis Cyber threat intelligence assessment Threat modelling and risk identification Incident investigation and security event analysis Experience required: Security Operations Centre (SOC) or cyber defence experience Hands-on threat intelligence and analysis capability Threat modelling expertise Strong understanding of cyber security technologies and processes Threat Intelligence Analyst Key responsibilities include: Production of threat intelligence reports and assessments Analysis of Indicators of Compromise (IOCs) and Tactics, Techniques & Procedures (TTPs) Tracking emerging cyber threats and threat actors Supporting security architecture and operational security decision-making Experience required: Proven cyber threat intelligence background Experience analysing threat actor activity and attack methodologies Strong reporting and stakeholder engagement skills Knowledge of intelligence frameworks such as MITRE ATT&CK Information Assurance Consultant Key responsibilities include: Information Assurance (IA) and Governance, Risk & Compliance (GRC) activities Quality assurance and quality management support Business Continuity and Disaster Recovery (BCDR) planning and assessment Policy, controls, and compliance reviews Experience required: Strong IA/GRC experience Knowledge of security governance frameworks Experience in quality management and assurance activities BCDR planning and implementation expertise Essential Requirements Active SC Clearance (mandatory) Proven experience within the relevant cyber security discipline Ability to work effectively in complex stakeholder environments Strong communication and reporting skills
