hackajob is partnering directly with Vitality to hire for this role. Team - Engineering Standards Working Pattern - Hybrid - 2 days per week in the Vitality London, Bournemouth or Stockport Office. Full time hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Highly experienced enterprise solution architecture Proven architectural leadership capability Dee click apply for full job details
Aug 27, 2026
Full time
hackajob is partnering directly with Vitality to hire for this role. Team - Engineering Standards Working Pattern - Hybrid - 2 days per week in the Vitality London, Bournemouth or Stockport Office. Full time hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Highly experienced enterprise solution architecture Proven architectural leadership capability Dee click apply for full job details
End Date Sunday 06 September 2026 Salary Range £84,624 - £126,936 We support flexible working - JOB TITLE: Lead Engineer - Advanced AI Engineering LOCATION: Bristol, Edinburgh, Leeds, London or Manchester WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our office location. About this Opportunity We are looking for Lead Engineers to join our new Advanced AI Engineering team. You will combine applied research and solution development to create effective solutions to critical AI business challenges, building operational MVPs that our engineering teams can scale out across the Group's business areas. You will be working within the Data & AI Unit of the Chief Technology Office (CTO), where we define and lead the Group's Data and AI technology strategy, serve as the Group's design authority for Data and AI, and inspire, develop and incubate new AI-driven products, capabilities and ways of working through applied research and product discovery. These are hands-on roles, working at the forefront of Agentic AI adoption, which will draw upon your curiosity and problem-solving abilities, your experience building and supporting technology solutions within production environments, and your knowledge of GenAI technology. Day to day, you will: Support ideation activities, working with team members and business stakeholders to explore the art of the possible and identify areas of challenge and opportunity Evaluate AI methods and technologies, conducting experiments and building proof-of-concepts Develop operational MVPs and support their delivery to business platforms and engineering teams. Why Lloyds Banking Group We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What you'll need Proven experience engineering technology solutions in complex environments and supporting production operations Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches Experience of working in teams employing agile practices and using modern SDLC tooling A solid understanding of requirements for managing operational and AI risk in a regulated environment, including reliability, security, safety and explainability Ability to collaborate as part of a high-performing engineering team - mentoring and supporting others and engaging stakeholders on technical direction Desirable Experience delivering technology solutions in regulated industries (financial services preferred) Experience of research, either in industry or as part of an advanced degree Experience developing technology solutions for customer-facing platforms at scale (digital apps, contact centre/voice, colleague tooling) Experience of partnering with Enterprise Architecture functions About working for us We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can have a positive impact as you learn, grow and thrive? At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Should you wish to contact us for any reason, please email us at: For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
Aug 27, 2026
Full time
End Date Sunday 06 September 2026 Salary Range £84,624 - £126,936 We support flexible working - JOB TITLE: Lead Engineer - Advanced AI Engineering LOCATION: Bristol, Edinburgh, Leeds, London or Manchester WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our office location. About this Opportunity We are looking for Lead Engineers to join our new Advanced AI Engineering team. You will combine applied research and solution development to create effective solutions to critical AI business challenges, building operational MVPs that our engineering teams can scale out across the Group's business areas. You will be working within the Data & AI Unit of the Chief Technology Office (CTO), where we define and lead the Group's Data and AI technology strategy, serve as the Group's design authority for Data and AI, and inspire, develop and incubate new AI-driven products, capabilities and ways of working through applied research and product discovery. These are hands-on roles, working at the forefront of Agentic AI adoption, which will draw upon your curiosity and problem-solving abilities, your experience building and supporting technology solutions within production environments, and your knowledge of GenAI technology. Day to day, you will: Support ideation activities, working with team members and business stakeholders to explore the art of the possible and identify areas of challenge and opportunity Evaluate AI methods and technologies, conducting experiments and building proof-of-concepts Develop operational MVPs and support their delivery to business platforms and engineering teams. Why Lloyds Banking Group We're an innovative, fast-changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. What you'll need Proven experience engineering technology solutions in complex environments and supporting production operations Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches Experience of working in teams employing agile practices and using modern SDLC tooling A solid understanding of requirements for managing operational and AI risk in a regulated environment, including reliability, security, safety and explainability Ability to collaborate as part of a high-performing engineering team - mentoring and supporting others and engaging stakeholders on technical direction Desirable Experience delivering technology solutions in regulated industries (financial services preferred) Experience of research, either in industry or as part of an advanced degree Experience developing technology solutions for customer-facing platforms at scale (digital apps, contact centre/voice, colleague tooling) Experience of partnering with Enterprise Architecture functions About working for us We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes: A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can have a positive impact as you learn, grow and thrive? At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Should you wish to contact us for any reason, please email us at: For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.
Contract: Security & Compliance Architect Start Date: ASAP (after background check completion) Duration: 3 months + Rate: £650-£680 a day (Outside IR35) Location: Remote working (may require occasional on site in London as required) Reference: 20743 Immediate contract for an experienced Security & Compliance Architect to join an inflight programme with a global enterprise client ( pharmaceutical/li click apply for full job details
Aug 27, 2026
Contractor
Contract: Security & Compliance Architect Start Date: ASAP (after background check completion) Duration: 3 months + Rate: £650-£680 a day (Outside IR35) Location: Remote working (may require occasional on site in London as required) Reference: 20743 Immediate contract for an experienced Security & Compliance Architect to join an inflight programme with a global enterprise client ( pharmaceutical/li click apply for full job details
Lead security engagements for mid-market enterprises across Europe. You will conduct security assessments, design security architectures, and help clients build security programs that meet regulatory requirements without creating operational friction. Responsibilities Lead penetration testing and vulnerability assessment engagements Design security architectures for cloud-native and hybrid environments Develop security compliance programs (SOC 2, ISO 27001, GDPR) Conduct incident response planning and tabletop exercises Advise C-level executives on security strategy and risk management Requirements 8+ years in information security with consulting experience Deep expertise in penetration testing, vulnerability management, and threat modeling Knowledge of compliance frameworks: SOC 2, ISO 27001, GDPR, PCI-DSS Experience with cloud security (AWS Security Hub, Azure Defender, or GCP Security Command Center) CISSP, OSCP, or equivalent certification Nice to Have Experience in financial services or healthcare security Red team or blue team experience in enterprise environments Familiarity with UK and EU regulatory requirements Competitive salary with annual performance bonuses Comprehensive health, dental, and vision insurance Company pension scheme with employer contribution Remote-first with optional office presence Annual learning budget for conferences, courses, and certifications Home office setup stipend Parental leave (16 weeks primary, 8 weeks secondary)
Aug 27, 2026
Full time
Lead security engagements for mid-market enterprises across Europe. You will conduct security assessments, design security architectures, and help clients build security programs that meet regulatory requirements without creating operational friction. Responsibilities Lead penetration testing and vulnerability assessment engagements Design security architectures for cloud-native and hybrid environments Develop security compliance programs (SOC 2, ISO 27001, GDPR) Conduct incident response planning and tabletop exercises Advise C-level executives on security strategy and risk management Requirements 8+ years in information security with consulting experience Deep expertise in penetration testing, vulnerability management, and threat modeling Knowledge of compliance frameworks: SOC 2, ISO 27001, GDPR, PCI-DSS Experience with cloud security (AWS Security Hub, Azure Defender, or GCP Security Command Center) CISSP, OSCP, or equivalent certification Nice to Have Experience in financial services or healthcare security Red team or blue team experience in enterprise environments Familiarity with UK and EU regulatory requirements Competitive salary with annual performance bonuses Comprehensive health, dental, and vision insurance Company pension scheme with employer contribution Remote-first with optional office presence Annual learning budget for conferences, courses, and certifications Home office setup stipend Parental leave (16 weeks primary, 8 weeks secondary)
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary: NetApp is uniquely positioned to help organizations unlock the value of AI through the data they already manage. With a significant share of the world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating AI-related business growth across EMEA/LATAM. This is a highly strategic business development role focused on identifying opportunities, engaging customers and partners, and converting AI interest into measurable pipeline and bookings. Success is measured by pipeline creation, opportunity progression, and revenue impact. Key Responsibilities: Drive AI Pipeline & Growth Lead AI pipeline generation across EMEA/LATAM, creating qualified opportunities and driving business growth. Identify, prioritize, and engage target accounts using market insights, AI adoption trends, and installed-base opportunities. Partner with Sales, Marketing, and strategic partners to execute demand-generation activities that create pipeline and accelerate bookings. Build relationships with senior customer stakeholders and help shape AI strategies and opportunities. Expand AI adoption within existing customers and support acquisition of net-new AI-focused organizations. Develop AI Go-to-Market Strategy Develop and refine AI value propositions covering AI infrastructure, data pipelines, sovereign AI, inferencing, and emerging AI workloads. Build repeatable go-to-market programs including account targeting, messaging, competitive positioning, and business value frameworks. Measure and optimize program performance based on pipeline generation, opportunity progression, and business impact. Enable Sales & Partners Equip Client Executives, Systems Engineers, and partners with the tools and knowledge needed to identify and advance AI opportunities. Deliver enablement, account planning support, and strategic guidance to increase AI opportunity creation. Support key opportunities through executive engagement, business case development, and competitive strategy. Build the AI Ecosystem Develop relationships with hyperscalers, GPU vendors, systems integrators, AI software providers, and cloud partners. Drive joint go-to-market initiatives and partner-led pipeline generation. Success Measures Generate consistent, high-quality AI pipeline across EMEA/LATAM. Increase AI-related bookings and improve conversion rates. Grow AI adoption within existing customers and secure new AI-focused accounts. Increase partner-sourced opportunities and ecosystem engagement. Drive adoption of AI sales plays across the wider Sales and technical organizations. Job Requirements: Required 8+ years of experience in Business Development, Strategic Sales, Go-to-Market, AI, Cloud, or Enterprise Technology roles. Proven track record of generating pipeline and influencing business growth within emerging or high-growth technology markets. Experience creating target account strategies and executing measurable outbound demand-generation programs. Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms. Ability to translate technical capabilities into business outcomes and executive-level value propositions. Strong stakeholder management, collaboration, and influencing skills across matrixed organizations. Fluent English and willingness to travel across EMEA/LATAM as required. Preferred Experience working with hyperscalers, AI ecosystem partners, systems integrators, or channel-led sales models. Understanding of AI regulation, data sovereignty, and compliance considerations across Europe and international markets. Experience building new GTM motions, market development programs, and strategic growth initiatives from the ground up. Existing relationships within the AI ecosystem, including AI startups, sovereign AI initiatives, cloud providers, GPU vendors, or AI-focused partners. Additional European language skills are advantageous. Why Join NetApp? This is an opportunity to help shape NetApp's AI growth strategy across EMEA and LATAM. You will work at the intersection of AI, data, cloud, and infrastructure, enabling organizations to accelerate AI adoption while helping build a scalable, repeatable growth engine for one of the industry's most important technology markets. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Aug 27, 2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary: NetApp is uniquely positioned to help organizations unlock the value of AI through the data they already manage. With a significant share of the world's unstructured data residing on NetApp, we help enterprises and public sector organizations build and scale AI initiatives across training, inferencing, data pipelines, RAG architectures, sovereign AI platforms, and modern AI infrastructure. The AI Business Development Manager will be responsible for creating demand, generating qualified pipeline, and accelerating AI-related business growth across EMEA/LATAM. This is a highly strategic business development role focused on identifying opportunities, engaging customers and partners, and converting AI interest into measurable pipeline and bookings. Success is measured by pipeline creation, opportunity progression, and revenue impact. Key Responsibilities: Drive AI Pipeline & Growth Lead AI pipeline generation across EMEA/LATAM, creating qualified opportunities and driving business growth. Identify, prioritize, and engage target accounts using market insights, AI adoption trends, and installed-base opportunities. Partner with Sales, Marketing, and strategic partners to execute demand-generation activities that create pipeline and accelerate bookings. Build relationships with senior customer stakeholders and help shape AI strategies and opportunities. Expand AI adoption within existing customers and support acquisition of net-new AI-focused organizations. Develop AI Go-to-Market Strategy Develop and refine AI value propositions covering AI infrastructure, data pipelines, sovereign AI, inferencing, and emerging AI workloads. Build repeatable go-to-market programs including account targeting, messaging, competitive positioning, and business value frameworks. Measure and optimize program performance based on pipeline generation, opportunity progression, and business impact. Enable Sales & Partners Equip Client Executives, Systems Engineers, and partners with the tools and knowledge needed to identify and advance AI opportunities. Deliver enablement, account planning support, and strategic guidance to increase AI opportunity creation. Support key opportunities through executive engagement, business case development, and competitive strategy. Build the AI Ecosystem Develop relationships with hyperscalers, GPU vendors, systems integrators, AI software providers, and cloud partners. Drive joint go-to-market initiatives and partner-led pipeline generation. Success Measures Generate consistent, high-quality AI pipeline across EMEA/LATAM. Increase AI-related bookings and improve conversion rates. Grow AI adoption within existing customers and secure new AI-focused accounts. Increase partner-sourced opportunities and ecosystem engagement. Drive adoption of AI sales plays across the wider Sales and technical organizations. Job Requirements: Required 8+ years of experience in Business Development, Strategic Sales, Go-to-Market, AI, Cloud, or Enterprise Technology roles. Proven track record of generating pipeline and influencing business growth within emerging or high-growth technology markets. Experience creating target account strategies and executing measurable outbound demand-generation programs. Working knowledge of AI infrastructure, including GPU environments, model training and inferencing, data pipelines, RAG architectures, vector databases, and AI platforms. Ability to translate technical capabilities into business outcomes and executive-level value propositions. Strong stakeholder management, collaboration, and influencing skills across matrixed organizations. Fluent English and willingness to travel across EMEA/LATAM as required. Preferred Experience working with hyperscalers, AI ecosystem partners, systems integrators, or channel-led sales models. Understanding of AI regulation, data sovereignty, and compliance considerations across Europe and international markets. Experience building new GTM motions, market development programs, and strategic growth initiatives from the ground up. Existing relationships within the AI ecosystem, including AI startups, sovereign AI initiatives, cloud providers, GPU vendors, or AI-focused partners. Additional European language skills are advantageous. Why Join NetApp? This is an opportunity to help shape NetApp's AI growth strategy across EMEA and LATAM. You will work at the intersection of AI, data, cloud, and infrastructure, enabling organizations to accelerate AI adoption while helping build a scalable, repeatable growth engine for one of the industry's most important technology markets. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
The Role This is a senior, forward-deployed analytics leadership role - responsible for taking analytics and AI capabilities out of development and into the commercial reality of Chubb's EMEA insurance business. This role is not a central analytics function. It is a deployment-first role, embedded at the intersection of data science, engineering, and business - where the measure of success is analytics operating reliably in production, driving measurable commercial outcomes. The Analytics Solution Lead owns the full journey from analytical development to business adoption: designing production-ready solutions, driving deployment into operational systems, and embedding analytics into how underwriters, pricing teams, and portfolio managers actually make decisions. You will bring field learnings back to sharpen the analytics roadmap, proactively identify new deployment opportunities across the business, and lead the cultural shift that turns analytical output into operational capability. It is a delivery and adoption role - combining the technical credibility to work alongside AI engineers, data scientists and architects, the business fluency to engage senior underwriting ,pricing and Ops leaders, and the deployment mindset to get things done in complex, regulated environments. Core Responsibilities Embed directly with business stakeholders - underwriters, pricing leads, portfolio managers - to understand how analytics can change how they make decisions, not just what information they have Deploy solutions rapidly and iteratively: ship working capability quickly, gather real-world feedback, and improve - consistent with a field-first deployment philosophy Drive adoption of deployed analytics: ensure tools and models are being used, understood, and trusted by the people they were built for Define solution specifications and deployment requirements that enable Solution Architects and Deployment Engineers to build and release production-grade analytics solutions Collaborate with Solution Architects to ensure analytics designs conform to enterprise architecture standards, platform constraints, and non-functional requirements (scalability, security, latency, auditability) Define measurable success criteria for every deployed solution - not just technical metrics, but commercial outcomes (e.g. pricing accuracy, hit rate improvement, loss ratio movement, underwriter decision quality) Design and lead change management plans for analytics deployment - ensuring that new tools and models are adopted, not just installed Develop and deliver targeted enablement for business users: from underwriter training on model outputs to pricing team workflows that embed decision support Qualifications Required Experience 8+ years in data science, analytics, analytics engineering, or forward-deployed analytics/AI roles - with a demonstrable track record of getting analytics into production in complex organisations Proven experience deploying analytics solutions end-to-end - from problem framing through to production, adoption, and impact measurement Experience embedding directly with business stakeholders and driving behavioral change through analytics - not just delivering technical outputs Demonstrated ability to measure and communicate the commercial impact of analytics deployments Experience working across analytics and engineering teams - translating model outputs and analytical designs into deployment-ready specifications Ability to engage credibly with Solution Architects on design trade-offs, platform constraints, and integration patterns Experience designing and operating model monitoring frameworks - drift detection, performance tracking, alerting Experience defining solution governance frameworks - handoff documentation, acceptance criteria, deployment standards Exposure to GenAI / LLM deployment in enterprise settings Cloud platform experience - Azure preferred Experience working in regulated industries - insurance or financial services strongly preferred Demonstrable experience with responsible AI practices - explainability, bias review, model auditability Desirable Experience with insurance platforms (Duck Creek, Guidewire, Acturis) Experience with pricing or actuarial model deployment Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) - awareness required, not hands-on ownership Experience with ML lifecycle tooling - MLflow, Azure ML, or equivalent Python proficiency - able to read and review analytical code, contribute where needed Consulting or forward-deployed engineering background (Palantir, QuantumBlack, or equivalent) Experience leading or mentoring data scientists and analytics professionals We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.
Aug 27, 2026
Full time
The Role This is a senior, forward-deployed analytics leadership role - responsible for taking analytics and AI capabilities out of development and into the commercial reality of Chubb's EMEA insurance business. This role is not a central analytics function. It is a deployment-first role, embedded at the intersection of data science, engineering, and business - where the measure of success is analytics operating reliably in production, driving measurable commercial outcomes. The Analytics Solution Lead owns the full journey from analytical development to business adoption: designing production-ready solutions, driving deployment into operational systems, and embedding analytics into how underwriters, pricing teams, and portfolio managers actually make decisions. You will bring field learnings back to sharpen the analytics roadmap, proactively identify new deployment opportunities across the business, and lead the cultural shift that turns analytical output into operational capability. It is a delivery and adoption role - combining the technical credibility to work alongside AI engineers, data scientists and architects, the business fluency to engage senior underwriting ,pricing and Ops leaders, and the deployment mindset to get things done in complex, regulated environments. Core Responsibilities Embed directly with business stakeholders - underwriters, pricing leads, portfolio managers - to understand how analytics can change how they make decisions, not just what information they have Deploy solutions rapidly and iteratively: ship working capability quickly, gather real-world feedback, and improve - consistent with a field-first deployment philosophy Drive adoption of deployed analytics: ensure tools and models are being used, understood, and trusted by the people they were built for Define solution specifications and deployment requirements that enable Solution Architects and Deployment Engineers to build and release production-grade analytics solutions Collaborate with Solution Architects to ensure analytics designs conform to enterprise architecture standards, platform constraints, and non-functional requirements (scalability, security, latency, auditability) Define measurable success criteria for every deployed solution - not just technical metrics, but commercial outcomes (e.g. pricing accuracy, hit rate improvement, loss ratio movement, underwriter decision quality) Design and lead change management plans for analytics deployment - ensuring that new tools and models are adopted, not just installed Develop and deliver targeted enablement for business users: from underwriter training on model outputs to pricing team workflows that embed decision support Qualifications Required Experience 8+ years in data science, analytics, analytics engineering, or forward-deployed analytics/AI roles - with a demonstrable track record of getting analytics into production in complex organisations Proven experience deploying analytics solutions end-to-end - from problem framing through to production, adoption, and impact measurement Experience embedding directly with business stakeholders and driving behavioral change through analytics - not just delivering technical outputs Demonstrated ability to measure and communicate the commercial impact of analytics deployments Experience working across analytics and engineering teams - translating model outputs and analytical designs into deployment-ready specifications Ability to engage credibly with Solution Architects on design trade-offs, platform constraints, and integration patterns Experience designing and operating model monitoring frameworks - drift detection, performance tracking, alerting Experience defining solution governance frameworks - handoff documentation, acceptance criteria, deployment standards Exposure to GenAI / LLM deployment in enterprise settings Cloud platform experience - Azure preferred Experience working in regulated industries - insurance or financial services strongly preferred Demonstrable experience with responsible AI practices - explainability, bias review, model auditability Desirable Experience with insurance platforms (Duck Creek, Guidewire, Acturis) Experience with pricing or actuarial model deployment Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) - awareness required, not hands-on ownership Experience with ML lifecycle tooling - MLflow, Azure ML, or equivalent Python proficiency - able to read and review analytical code, contribute where needed Consulting or forward-deployed engineering background (Palantir, QuantumBlack, or equivalent) Experience leading or mentoring data scientists and analytics professionals We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.
Senior Network Security Specialist Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: D - Assistant Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: Permanent About the London Metal Exchange The London Metal Exchange (LME) is the world centre for industrial metals trading. Most of the world's global non-ferrous futures business is conducted on the LME's three trading platforms totalling $21 trillion, 191 million lots and 4 billion tonnes notional with a market open interest high of 2.1 million lots in 2025.The metals community uses the LME, an HKEX Group company, as a venue to transfer or take on price risk, as a physical market of last resort and as the provider of transparent global reference prices. Overall Purpose of Role As a Senior Network Security Specialist, you will design, implement and govern the network security controls that protect our modern, high performance enterprise network. You will take a hands on lead role in shaping the network security roadmap, defining policies and standards and driving the adoption of Zero Trust and micro segmentation across the organisation.Working within the Connectivity Engineering Team, you will collaborate closely with Information Security, Platform, Infrastructure and Application teams to ensure security is embedded by design. Your expertise will be applied across on premises, cloud, and containerised environments, ensuring consistent and robust protection across all connectivity layers. You will also support the organisation's LAN, WAN, Campus and Data Centre network services, ensuring reliability, resilience, and high performance. You will maintain and develop core network standards across related systems, coordinate network activities across multiple technology projects, contribute deep technical expertise and produce both high and low level designs. As a subject matter expert, you will also provide 3rd line escalation support when required.This role reports directly to the Network Manager and may include participation in an on call rota, as well as occasional evening and weekend work. TOIL or overtime compensation will be available. Responsibilities: Design, implement, and maintain enterprise network security controls including firewalls, proxies and secure access services aligned to business and regulatory requirements. Act as the technical authority for Fortinet, Palo Alto Networks and Zscaler platforms. Ensure security policies are consistently enforced across data centre, campus, cloud and hybrid environments. Lead complex troubleshooting of network security issues, balancing security, performance and availability. Own and define the network security roadmap, aligned with wider technology and security strategies. Design and evolve Zero Trust network architectures, including identity-aware access and least-privilege principles. Define and implement micro-segmentation strategies for traditional and containerised workloads. Provide design input into new initiatives (cloud adoption, Kubernetes/OpenShift, automation, AI platforms). Evaluate new security technologies and patterns, producing clear recommendations and design artefacts Develop and maintain network security standards, patterns and policy definitions. Ensure adherence to security policies through design reviews, operational controls and continuous improvement. Partner with Information Security to translate policy into enforceable technical controls. Support audits, risk assessments and regulatory obligations by providing clear evidence of control implementation. Act as a senior technical leader within the Network Team, mentoring engineers and setting best practice. Work closely with Infrastructure, Platform, and Application teams to embed security by design. Provide subject-matter expertise to project teams and senior stakeholders. Desired Academic and Professional Qualifications: The ideal candidate will have experience working within an ITIL governed environment and established infrastructure support frameworks. They will hold a bachelor's degree in Computer Science, Information Technology, or a related discipline, or possess an equivalent combination of education, technical training, and practical experience.Relevant industry certifications (e.g. PCNSE, NSE, CCNP Security, or CISSP) or substantial real world application are expected, while ITIL and/or PMI certification is considered an advantage. Required Knowledge and Level of Experience: Experience defining and implementing network segmentation and micro segmentation strategies. Strong understanding of Zero Trust networking principles and identity aware access controls. Strong experience designing, implementing and optimising firewall and proxy security policies. Deep hands-on experience with: + Palo Alto Networks (PAN OS, Panorama, policy design) + Fortinet (FortiGate, FortiManager, FortiAnalyzer) + Zscaler (ZIA, ZPA, Zero Trust Exchange) Experience securing hybrid environments spanning on prem, cloud, and containerised platforms. Exposure to security controls and design for Kubernetes/OpenShift. Experience with automation and infrastructure-as-code approaches for deploying security controls. Wide exposure to routing, switching, load balancing and security architectures, with extensive operational and engineering experience. Strong grounding in core networking technologies and protocols, including: + TCP/IP, BGP, OSPF, VLANs, VRF, VPN, VXLAN, NAT, ACLs, DNS. Hands on experience with packet capture and network analytics and monitoring tools. Strong understanding of ITILv3 processes, including incident, problem, and change management. Skills and Competencies: Ability to translate high level security policies into practical, scalable technical designs. Strong analytical and diagnostic skills for assessing complex network and security environments. Competence in designing and optimising security architectures, network policies and segmentation models. Ability to work across hybrid and distributed environments (on prem, cloud, container platforms). Strong capability to apply automation and IaC concepts to enhance security controls and operational efficiency. Ability to collaborate with cross-functional teams in highly regulated, high availability environments. Methodical, working approach aligned to ITILv3 best practices with and proven ability to implement processes. Willingness to challenge existing approaches and drive change. Comfortable working under pressure, with changing priorities. A strong delivery mindset, setting and achieving realistic and timely execution of project deliverables across the portfolio. Core Functional Responsibilities of an AVP: Day-to-day focus is on resolution of complex problems or transactions, where expertise is required to interpret against policies, guidelines or processes Role at this level usually has full ownership for one or more processes, reports, procedures or products, and may also be considered analytical or procedural experts representing a unit or team on cross-function process or project deliverables. Experience Criteria of an AVP: Roles at this level typically require an individual emerging as an expert in a specific skill set, business area or product who remains focused primarily on daily execution.Hong Kong Exchanges and Clearing Limited (HKEX) is a publicly-traded company (HKEX Stock Code:388) and one of the world's leading global exchange groups, offering a range of equity, derivative, commodity, fixed income and other financial markets, products and services, including the London Metals Exchange.As a superconnector and gateway between East and West, HKEX facilitates the two-way flow of capital, ideas and dialogue between China and the rest of world, through
Aug 27, 2026
Full time
Senior Network Security Specialist Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: D - Assistant Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: Permanent About the London Metal Exchange The London Metal Exchange (LME) is the world centre for industrial metals trading. Most of the world's global non-ferrous futures business is conducted on the LME's three trading platforms totalling $21 trillion, 191 million lots and 4 billion tonnes notional with a market open interest high of 2.1 million lots in 2025.The metals community uses the LME, an HKEX Group company, as a venue to transfer or take on price risk, as a physical market of last resort and as the provider of transparent global reference prices. Overall Purpose of Role As a Senior Network Security Specialist, you will design, implement and govern the network security controls that protect our modern, high performance enterprise network. You will take a hands on lead role in shaping the network security roadmap, defining policies and standards and driving the adoption of Zero Trust and micro segmentation across the organisation.Working within the Connectivity Engineering Team, you will collaborate closely with Information Security, Platform, Infrastructure and Application teams to ensure security is embedded by design. Your expertise will be applied across on premises, cloud, and containerised environments, ensuring consistent and robust protection across all connectivity layers. You will also support the organisation's LAN, WAN, Campus and Data Centre network services, ensuring reliability, resilience, and high performance. You will maintain and develop core network standards across related systems, coordinate network activities across multiple technology projects, contribute deep technical expertise and produce both high and low level designs. As a subject matter expert, you will also provide 3rd line escalation support when required.This role reports directly to the Network Manager and may include participation in an on call rota, as well as occasional evening and weekend work. TOIL or overtime compensation will be available. Responsibilities: Design, implement, and maintain enterprise network security controls including firewalls, proxies and secure access services aligned to business and regulatory requirements. Act as the technical authority for Fortinet, Palo Alto Networks and Zscaler platforms. Ensure security policies are consistently enforced across data centre, campus, cloud and hybrid environments. Lead complex troubleshooting of network security issues, balancing security, performance and availability. Own and define the network security roadmap, aligned with wider technology and security strategies. Design and evolve Zero Trust network architectures, including identity-aware access and least-privilege principles. Define and implement micro-segmentation strategies for traditional and containerised workloads. Provide design input into new initiatives (cloud adoption, Kubernetes/OpenShift, automation, AI platforms). Evaluate new security technologies and patterns, producing clear recommendations and design artefacts Develop and maintain network security standards, patterns and policy definitions. Ensure adherence to security policies through design reviews, operational controls and continuous improvement. Partner with Information Security to translate policy into enforceable technical controls. Support audits, risk assessments and regulatory obligations by providing clear evidence of control implementation. Act as a senior technical leader within the Network Team, mentoring engineers and setting best practice. Work closely with Infrastructure, Platform, and Application teams to embed security by design. Provide subject-matter expertise to project teams and senior stakeholders. Desired Academic and Professional Qualifications: The ideal candidate will have experience working within an ITIL governed environment and established infrastructure support frameworks. They will hold a bachelor's degree in Computer Science, Information Technology, or a related discipline, or possess an equivalent combination of education, technical training, and practical experience.Relevant industry certifications (e.g. PCNSE, NSE, CCNP Security, or CISSP) or substantial real world application are expected, while ITIL and/or PMI certification is considered an advantage. Required Knowledge and Level of Experience: Experience defining and implementing network segmentation and micro segmentation strategies. Strong understanding of Zero Trust networking principles and identity aware access controls. Strong experience designing, implementing and optimising firewall and proxy security policies. Deep hands-on experience with: + Palo Alto Networks (PAN OS, Panorama, policy design) + Fortinet (FortiGate, FortiManager, FortiAnalyzer) + Zscaler (ZIA, ZPA, Zero Trust Exchange) Experience securing hybrid environments spanning on prem, cloud, and containerised platforms. Exposure to security controls and design for Kubernetes/OpenShift. Experience with automation and infrastructure-as-code approaches for deploying security controls. Wide exposure to routing, switching, load balancing and security architectures, with extensive operational and engineering experience. Strong grounding in core networking technologies and protocols, including: + TCP/IP, BGP, OSPF, VLANs, VRF, VPN, VXLAN, NAT, ACLs, DNS. Hands on experience with packet capture and network analytics and monitoring tools. Strong understanding of ITILv3 processes, including incident, problem, and change management. Skills and Competencies: Ability to translate high level security policies into practical, scalable technical designs. Strong analytical and diagnostic skills for assessing complex network and security environments. Competence in designing and optimising security architectures, network policies and segmentation models. Ability to work across hybrid and distributed environments (on prem, cloud, container platforms). Strong capability to apply automation and IaC concepts to enhance security controls and operational efficiency. Ability to collaborate with cross-functional teams in highly regulated, high availability environments. Methodical, working approach aligned to ITILv3 best practices with and proven ability to implement processes. Willingness to challenge existing approaches and drive change. Comfortable working under pressure, with changing priorities. A strong delivery mindset, setting and achieving realistic and timely execution of project deliverables across the portfolio. Core Functional Responsibilities of an AVP: Day-to-day focus is on resolution of complex problems or transactions, where expertise is required to interpret against policies, guidelines or processes Role at this level usually has full ownership for one or more processes, reports, procedures or products, and may also be considered analytical or procedural experts representing a unit or team on cross-function process or project deliverables. Experience Criteria of an AVP: Roles at this level typically require an individual emerging as an expert in a specific skill set, business area or product who remains focused primarily on daily execution.Hong Kong Exchanges and Clearing Limited (HKEX) is a publicly-traded company (HKEX Stock Code:388) and one of the world's leading global exchange groups, offering a range of equity, derivative, commodity, fixed income and other financial markets, products and services, including the London Metals Exchange.As a superconnector and gateway between East and West, HKEX facilitates the two-way flow of capital, ideas and dialogue between China and the rest of world, through
End Date Sunday 06 September 2026 Salary Range £84,624 - £126,936 We support flexible working - Job Title Lead Engineer - Advanced AI Engineering Location Bristol, Edinburgh, Leeds, London or Manchester Working Pattern Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our office location. About this Opportunity We are looking for Lead Engineers to join our new Advanced AI Engineering team. You will combine applied research and solution development to create effective solutions to critical AI business challenges, building operational MVPs that our engineering teams can scale out across the Group's business areas. You will be working within the Data & AI Unit of the Chief Technology Office (CTO), where we define and lead the Group's Data and AI technology strategy, serve as the Group's design authority for Data and AI, and inspire, develop and incubate new AI-driven products, capabilities and ways of working through applied research and product discovery. These are hands-on roles, working at the forefront of Agentic AI adoption, which will draw upon your curiosity and problem-solving abilities, your experience building and supporting technology solutions within production environments, and your knowledge of GenAI technology. Responsibilities Support ideation activities, working with team members and business stakeholders to explore the art of the possible and identify areas of challenge and opportunity Evaluate AI methods and technologies, conducting experiments and building proof-of-concepts Develop operational MVPs and support their delivery to business platforms and engineering teams Requirements Proven experience engineering technology solutions in complex environments and supporting production operations Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches Experience of working in teams employing agile practices and using modern SDLC tooling A solid understanding of requirements for managing operational and AI risk in a regulated environment, including reliability, security, safety and explainability Ability to collaborate as part of a high-performing engineering team - mentoring and supporting others and engaging stakeholders on technical direction Desirable Experience delivering technology solutions in regulated industries (financial services preferred) Experience of research, either in industry or as part of an advanced degree Experience developing technology solutions for customer-facing platforms at scale (digital apps, contact centre/voice, colleague tooling) Experience of partnering with Enterprise Architecture functions About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. Benefits A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can have a positive impact as you learn, grow and thrive? At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Aug 27, 2026
Full time
End Date Sunday 06 September 2026 Salary Range £84,624 - £126,936 We support flexible working - Job Title Lead Engineer - Advanced AI Engineering Location Bristol, Edinburgh, Leeds, London or Manchester Working Pattern Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our office location. About this Opportunity We are looking for Lead Engineers to join our new Advanced AI Engineering team. You will combine applied research and solution development to create effective solutions to critical AI business challenges, building operational MVPs that our engineering teams can scale out across the Group's business areas. You will be working within the Data & AI Unit of the Chief Technology Office (CTO), where we define and lead the Group's Data and AI technology strategy, serve as the Group's design authority for Data and AI, and inspire, develop and incubate new AI-driven products, capabilities and ways of working through applied research and product discovery. These are hands-on roles, working at the forefront of Agentic AI adoption, which will draw upon your curiosity and problem-solving abilities, your experience building and supporting technology solutions within production environments, and your knowledge of GenAI technology. Responsibilities Support ideation activities, working with team members and business stakeholders to explore the art of the possible and identify areas of challenge and opportunity Evaluate AI methods and technologies, conducting experiments and building proof-of-concepts Develop operational MVPs and support their delivery to business platforms and engineering teams Requirements Proven experience engineering technology solutions in complex environments and supporting production operations Applied AI/ML and GenAI experience with knowledge of established patterns (RAG, tool use, guardrails, evaluation, agents) and an ability to evaluate tools and approaches Experience of working in teams employing agile practices and using modern SDLC tooling A solid understanding of requirements for managing operational and AI risk in a regulated environment, including reliability, security, safety and explainability Ability to collaborate as part of a high-performing engineering team - mentoring and supporting others and engaging stakeholders on technical direction Desirable Experience delivering technology solutions in regulated industries (financial services preferred) Experience of research, either in industry or as part of an advanced degree Experience developing technology solutions for customer-facing platforms at scale (digital apps, contact centre/voice, colleague tooling) Experience of partnering with Enterprise Architecture functions About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. Benefits A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you can have a positive impact as you learn, grow and thrive? At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Job Description: DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. AI Technologist - Financial Services Location - London Hybrid working applies - 2/3 days in the office Due to the nature of the work and the customers we support, the successful candidate must be eligible to meet UK Government and contractual personnel security requirements, including the applicable residency requirements for the role, and have the right to work in the United Kingdom. Some roles may also be subject to nationality requirements where these are necessary to meet UK Government or contractual security obligations. As an AI Technologist, you'll help shape strategic conversations around AI and Data -ensuring that complex technology feels accessible, meaningful, and deliverable. You'll partner closely with Sales, Account Teams, and our AI Centre of Excellence & Execution (CoEE) to craft tailored strategies that turn vision into reality. This is a pre sales + advisory position with strong opportunities for leadership, visibility, and innovation. Key Responsibilities Manage data architecture projects and guide teams to ensure milestones and outcomes are delivered successfully. Provide clear updates on progress, risks, and insights to senior stakeholders. Work closely with data architects and analysts to deliver high quality data solutions using industry best practices. Participate in defining data requirements and shaping organisational data strategies. Implement strong data governance, quality frameworks, and standards to ensure accuracy, consistency, and trust. Contribute to data security and compliance initiatives across projects. Support the creation of data roadmaps aligned to standards and organisational goals. Mentor and empower junior colleagues, helping them develop confidence in data architecture principles. Key Skills & Experience Experience in AI / Data solutioning, pre sales, consulting, AI product roles, or AI focused innovation. Knowledge within the Finance Services or Areospace and Defence sector. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement skills - especially with senior leaders. Experience collaborating with both sales and delivery teams. Why Join Us Be part of a cutting-edge AI community driving digital transformation across the UK&I. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations - helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on
Aug 27, 2026
Full time
Job Description: DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. AI Technologist - Financial Services Location - London Hybrid working applies - 2/3 days in the office Due to the nature of the work and the customers we support, the successful candidate must be eligible to meet UK Government and contractual personnel security requirements, including the applicable residency requirements for the role, and have the right to work in the United Kingdom. Some roles may also be subject to nationality requirements where these are necessary to meet UK Government or contractual security obligations. As an AI Technologist, you'll help shape strategic conversations around AI and Data -ensuring that complex technology feels accessible, meaningful, and deliverable. You'll partner closely with Sales, Account Teams, and our AI Centre of Excellence & Execution (CoEE) to craft tailored strategies that turn vision into reality. This is a pre sales + advisory position with strong opportunities for leadership, visibility, and innovation. Key Responsibilities Manage data architecture projects and guide teams to ensure milestones and outcomes are delivered successfully. Provide clear updates on progress, risks, and insights to senior stakeholders. Work closely with data architects and analysts to deliver high quality data solutions using industry best practices. Participate in defining data requirements and shaping organisational data strategies. Implement strong data governance, quality frameworks, and standards to ensure accuracy, consistency, and trust. Contribute to data security and compliance initiatives across projects. Support the creation of data roadmaps aligned to standards and organisational goals. Mentor and empower junior colleagues, helping them develop confidence in data architecture principles. Key Skills & Experience Experience in AI / Data solutioning, pre sales, consulting, AI product roles, or AI focused innovation. Knowledge within the Finance Services or Areospace and Defence sector. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement skills - especially with senior leaders. Experience collaborating with both sales and delivery teams. Why Join Us Be part of a cutting-edge AI community driving digital transformation across the UK&I. Work at the intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. DXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations - helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on
Job description Waracle are looking for a Principal Developer to join our world-class digital technology consultancy and home to a diverse, smart, curious, and ambitious community of specialists in technology-driven transformation. We work with ambitious clients to help them solve their biggest business and customer challenges. We help our clients to innovate and create intelligent digital products and services. We thrive on complex challenges and deliver business-critical IT transformation projects, moving seamlessly from strategy, design, and delivery to operations. This is a Hybrid role working from our London office 2 days a week. Shape the Future of Digital Innovation As a Principal Developer, you will act as a strategic technical leader, guiding and shaping robust architectures, data strategies, and cloud-native environments across multiple squads and collaborative programmes. In this role, you will champion technical excellence, making thoughtful choices that balance cost, security, performance, and user experience to help Waracle scale and deliver high-performance, world-class products. If you are a collaborative leader who thrives on mentoring talent, fostering inclusive engineering communities, and navigating complex technical landscapes with empathy and pragmatism, we would love to welcome you to our team. Duties of This Role Reporting to the Head of Engineering, your role will cover: Solving Complex Technical Challenges: Partner closely with client technical and business stakeholders at all levels, gaining a deep understanding of their technology estates to advise on impactful, world-class digital solutions. Technical Excellence & Delivery: Shape architectures across multiple squads; select tools and frameworks to scale across clients while optimising for cost, security, performance, and scalability. Collaboration & Stakeholder Management: Act as a trusted advisor to clients on technical strategy and roadmaps, translating complex technical concepts into clear, accessible communication for senior stakeholders. Leadership & Community Cultivation: Mentor Lead and Senior Engineers, foster and grow our engineering community of practice, and ensure cross-team alignment on technical standards. Culture & Knowledge Sharing: Define and evolve Waracle's technical standards while contributing to our shared body of knowledge through lessons learned, thought leadership, and good practices. Research shows that underrepresented groups tend to only apply for roles that they believe they meet 100% of the criteria for. At Waracle, we want to buck that trend! We hire for passion, potential and mindset as much as credentials. If you think you'd be incredible in the role, then apply - even if you don't think you tick every box. What you'll bring Architectural Leadership: Proven experience designing, documenting, and scaling complex back-end architectures, distributed systems, microservices, and database designs (SQL and other technologies) within cloud-native environments-particularly Azure (with a focus on API management, maintenance, and scaling). Technical Direction & Delivery Ownership: Strong leadership capability to set clear technical direction, maintain a dedicated ownership mindset, and foster high-standard outcomes across complex enterprise projects. Consultative Communication: Excellent communication and influencing skills, with a demonstrated ability to navigate complex client organisations, support diverse stakeholders, and pragmatically balance commercial constraints with high technical standards. Team Mentorship & Growth: A proven track record of mentoring, developing, and aligning senior engineers and technical leaders to foster a collaborative culture of continuous learning and psychological safety. Modern SDLC Innovation: A pragmatic, forward-thinking approach with a strong interest and enthusiasm for applying AI across the Software Development Life Cycle to enhance engineering practices and advise clients on effective adoption. Recruitment process You can expect an initial call with your dedicated Talent Acquisition Partner, who will chat with you about Waracle, what you are looking for in a new position, the salary for the role, notice period, and benefits. After that, you'll be invited to a two-stage interview process where you will have an opportunity to find out more about the role and showcase your skills and experience. Your Talent Attraction Partner will guide and support you through the whole process right up to your first day with us Our Benefits We believe in supporting our team, inside and outside of work. Here's a glimpse of what you can expect: Rest & Recharge Financial Future & Security Health & Wellness Flexible Working Learning & Development Lifestyle Perks Family First Community & Connection Our values To make the world a better place through impactful software Raise the bar Bring others with you Make it count Work in the open Enjoy the journey
Aug 27, 2026
Full time
Job description Waracle are looking for a Principal Developer to join our world-class digital technology consultancy and home to a diverse, smart, curious, and ambitious community of specialists in technology-driven transformation. We work with ambitious clients to help them solve their biggest business and customer challenges. We help our clients to innovate and create intelligent digital products and services. We thrive on complex challenges and deliver business-critical IT transformation projects, moving seamlessly from strategy, design, and delivery to operations. This is a Hybrid role working from our London office 2 days a week. Shape the Future of Digital Innovation As a Principal Developer, you will act as a strategic technical leader, guiding and shaping robust architectures, data strategies, and cloud-native environments across multiple squads and collaborative programmes. In this role, you will champion technical excellence, making thoughtful choices that balance cost, security, performance, and user experience to help Waracle scale and deliver high-performance, world-class products. If you are a collaborative leader who thrives on mentoring talent, fostering inclusive engineering communities, and navigating complex technical landscapes with empathy and pragmatism, we would love to welcome you to our team. Duties of This Role Reporting to the Head of Engineering, your role will cover: Solving Complex Technical Challenges: Partner closely with client technical and business stakeholders at all levels, gaining a deep understanding of their technology estates to advise on impactful, world-class digital solutions. Technical Excellence & Delivery: Shape architectures across multiple squads; select tools and frameworks to scale across clients while optimising for cost, security, performance, and scalability. Collaboration & Stakeholder Management: Act as a trusted advisor to clients on technical strategy and roadmaps, translating complex technical concepts into clear, accessible communication for senior stakeholders. Leadership & Community Cultivation: Mentor Lead and Senior Engineers, foster and grow our engineering community of practice, and ensure cross-team alignment on technical standards. Culture & Knowledge Sharing: Define and evolve Waracle's technical standards while contributing to our shared body of knowledge through lessons learned, thought leadership, and good practices. Research shows that underrepresented groups tend to only apply for roles that they believe they meet 100% of the criteria for. At Waracle, we want to buck that trend! We hire for passion, potential and mindset as much as credentials. If you think you'd be incredible in the role, then apply - even if you don't think you tick every box. What you'll bring Architectural Leadership: Proven experience designing, documenting, and scaling complex back-end architectures, distributed systems, microservices, and database designs (SQL and other technologies) within cloud-native environments-particularly Azure (with a focus on API management, maintenance, and scaling). Technical Direction & Delivery Ownership: Strong leadership capability to set clear technical direction, maintain a dedicated ownership mindset, and foster high-standard outcomes across complex enterprise projects. Consultative Communication: Excellent communication and influencing skills, with a demonstrated ability to navigate complex client organisations, support diverse stakeholders, and pragmatically balance commercial constraints with high technical standards. Team Mentorship & Growth: A proven track record of mentoring, developing, and aligning senior engineers and technical leaders to foster a collaborative culture of continuous learning and psychological safety. Modern SDLC Innovation: A pragmatic, forward-thinking approach with a strong interest and enthusiasm for applying AI across the Software Development Life Cycle to enhance engineering practices and advise clients on effective adoption. Recruitment process You can expect an initial call with your dedicated Talent Acquisition Partner, who will chat with you about Waracle, what you are looking for in a new position, the salary for the role, notice period, and benefits. After that, you'll be invited to a two-stage interview process where you will have an opportunity to find out more about the role and showcase your skills and experience. Your Talent Attraction Partner will guide and support you through the whole process right up to your first day with us Our Benefits We believe in supporting our team, inside and outside of work. Here's a glimpse of what you can expect: Rest & Recharge Financial Future & Security Health & Wellness Flexible Working Learning & Development Lifestyle Perks Family First Community & Connection Our values To make the world a better place through impactful software Raise the bar Bring others with you Make it count Work in the open Enjoy the journey
C&D Talent Advisory is seeking a Founding Engineer, Infrastructure & Platform in London. This on-site role offers equity and a path to shape a seed-stage AI infrastructure platform for regulated industries. You'll own backend services, cloud infrastructure, IaC with Terraform, and security/compliance foundations, partnering with leadership to drive architecture and long-term deployments. Expect high autonomy and ownership within a high-growth startup.
Aug 27, 2026
Full time
C&D Talent Advisory is seeking a Founding Engineer, Infrastructure & Platform in London. This on-site role offers equity and a path to shape a seed-stage AI infrastructure platform for regulated industries. You'll own backend services, cloud infrastructure, IaC with Terraform, and security/compliance foundations, partnering with leadership to drive architecture and long-term deployments. Expect high autonomy and ownership within a high-growth startup.
Head of Enterprise Architecture Closing date : 10th August 2026 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: A competitive salary aligned with the seniority and impact of this role click apply for full job details
Aug 27, 2026
Full time
Head of Enterprise Architecture Closing date : 10th August 2026 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: A competitive salary aligned with the seniority and impact of this role click apply for full job details
C&D Talent Advisory
Welwyn Garden City, Hertfordshire
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
Aug 27, 2026
Full time
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
What You'll Do We are looking for an experienced Sales Development Representative (SDR) Manager to lead and scale our E-Invoicing & Live Reporting sales development function. Reporting to the Senior Director, Global Sales, you will own the top of the funnel: building, coaching, and inspiring a high-performing team of SDRs who generate qualified pipeline for our global e-invoicing and live reporting solution. You will lead a team of 6 SDRs responsible for both outbound prospecting and inbound demand qualification, generating qualified pipeline across the full top of the funnel. This is a leadership role for someone who thrives in a fast-moving, mandate-driven market. As governments worldwide accelerate e-invoicing and continuous transaction control (CTC) mandates, demand for compliant, scalable solutions is surging. You will be at the front of that wave, shaping how we identify, engage, and qualify the right multinational prospects. What Your Responsibilities Will Be Team Leadership & Development Recruit, onboard, and retain a team of 6 SDRs responsible for both outbound prospecting and inbound demand qualification for the ELR solution. Coach reps on prospecting fundamentals, messaging, objection handling, and qualification frameworks across both outbound and inbound motions. Run regular 1:1s, call reviews, and skills-development sessions to build a culture of continuous improvement. Create clear career pathing to develop XDRs into future Account Executives and specialists. Pipeline Generation & Performance Management Own and consistently exceed team targets for qualified meetings, opportunities, and sourced pipeline. Set and manage KPIs across activity, conversion, and pipeline quality; hold the team accountable to a metrics-driven cadence. Balance and optimise the team's split across outbound-sourced and inbound-sourced pipeline, ensuring both motions consistently deliver. Partner with Marketing to convert campaigns, events, and inbound demand into qualified pipeline. Ensure alignment with the Ideal Customer Profile (ICP) Strategy & Process Refine outbound sequences, messaging, and territory/account plans in line with the ELR messaging architecture and mandate-driven market dynamics. Continuously improve prospecting playbooks, cadences, and tooling to increase efficiency and effectiveness. Maintain data hygiene and accurate forecasting in Salesforce; report on team performance to leadership. Coach the team to challenge prospects to think strategically about a global e-invoicing strategy rather than solving mandates country-by-country. Cross Functional Collaboration Work closely with Sales Leaders and Executives to ensure smooth handoffs and shared pipeline ownership. Partner with Sales Enablement to keep the team current on evolving global mandates, product capabilities, and competitive positioning. Collaborate with Marketing, RevOps, and Partnerships to optimise the end-to-end demand funnel. What You'll Need to be Successful 5+ years in sales development or inside sales, including 2+ years managing or leading an SDR/BDR/XDR team across both outbound and inbound motions. Proven track record of building and hitting/exceeding pipeline generation targets in a B2B SaaS environment. Strong coaching ability with a demonstrated history of developing and promoting reps. Experience with modern sales tech stack (Salesforce, sales engagement platforms, prospecting/intent tools). Data-driven approach to managing team activity, conversion, and pipeline quality. Excellent communication skills and the ability to operate across regions and time zones. Experience selling into finance, tax, or compliance buyers, or within the indirect tax / e-invoicing / fintech space. Familiarity with selling to multinational / Mid market and enterprise accounts with complex, multi-country requirements. Understanding of global e-invoicing, live reporting, or CTC mandate landscapes. Avalara is an AI-first Company You'll bring experience using AI and AI-related technologies, ready to thrive here. You'll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You'll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversit y Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We're defining the relationship between tax and tech. We've already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we're not slowing down until we've achieved our mission - to be part of every transaction in the world. We're bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we've designed, that empowers our people to win. We've been different from day one. Join us, and your career will be too. We're An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company - we don't want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
Aug 27, 2026
Full time
What You'll Do We are looking for an experienced Sales Development Representative (SDR) Manager to lead and scale our E-Invoicing & Live Reporting sales development function. Reporting to the Senior Director, Global Sales, you will own the top of the funnel: building, coaching, and inspiring a high-performing team of SDRs who generate qualified pipeline for our global e-invoicing and live reporting solution. You will lead a team of 6 SDRs responsible for both outbound prospecting and inbound demand qualification, generating qualified pipeline across the full top of the funnel. This is a leadership role for someone who thrives in a fast-moving, mandate-driven market. As governments worldwide accelerate e-invoicing and continuous transaction control (CTC) mandates, demand for compliant, scalable solutions is surging. You will be at the front of that wave, shaping how we identify, engage, and qualify the right multinational prospects. What Your Responsibilities Will Be Team Leadership & Development Recruit, onboard, and retain a team of 6 SDRs responsible for both outbound prospecting and inbound demand qualification for the ELR solution. Coach reps on prospecting fundamentals, messaging, objection handling, and qualification frameworks across both outbound and inbound motions. Run regular 1:1s, call reviews, and skills-development sessions to build a culture of continuous improvement. Create clear career pathing to develop XDRs into future Account Executives and specialists. Pipeline Generation & Performance Management Own and consistently exceed team targets for qualified meetings, opportunities, and sourced pipeline. Set and manage KPIs across activity, conversion, and pipeline quality; hold the team accountable to a metrics-driven cadence. Balance and optimise the team's split across outbound-sourced and inbound-sourced pipeline, ensuring both motions consistently deliver. Partner with Marketing to convert campaigns, events, and inbound demand into qualified pipeline. Ensure alignment with the Ideal Customer Profile (ICP) Strategy & Process Refine outbound sequences, messaging, and territory/account plans in line with the ELR messaging architecture and mandate-driven market dynamics. Continuously improve prospecting playbooks, cadences, and tooling to increase efficiency and effectiveness. Maintain data hygiene and accurate forecasting in Salesforce; report on team performance to leadership. Coach the team to challenge prospects to think strategically about a global e-invoicing strategy rather than solving mandates country-by-country. Cross Functional Collaboration Work closely with Sales Leaders and Executives to ensure smooth handoffs and shared pipeline ownership. Partner with Sales Enablement to keep the team current on evolving global mandates, product capabilities, and competitive positioning. Collaborate with Marketing, RevOps, and Partnerships to optimise the end-to-end demand funnel. What You'll Need to be Successful 5+ years in sales development or inside sales, including 2+ years managing or leading an SDR/BDR/XDR team across both outbound and inbound motions. Proven track record of building and hitting/exceeding pipeline generation targets in a B2B SaaS environment. Strong coaching ability with a demonstrated history of developing and promoting reps. Experience with modern sales tech stack (Salesforce, sales engagement platforms, prospecting/intent tools). Data-driven approach to managing team activity, conversion, and pipeline quality. Excellent communication skills and the ability to operate across regions and time zones. Experience selling into finance, tax, or compliance buyers, or within the indirect tax / e-invoicing / fintech space. Familiarity with selling to multinational / Mid market and enterprise accounts with complex, multi-country requirements. Understanding of global e-invoicing, live reporting, or CTC mandate landscapes. Avalara is an AI-first Company You'll bring experience using AI and AI-related technologies, ready to thrive here. You'll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You'll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversit y Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We're defining the relationship between tax and tech. We've already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we're not slowing down until we've achieved our mission - to be part of every transaction in the world. We're bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we've designed, that empowers our people to win. We've been different from day one. Join us, and your career will be too. We're An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company - we don't want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
AI Engineer (.Net/AI) Location: Chester Hybrid Working Permanent - Full-time Salary: £50,000-£60,000 We're working with a leading UK organisation that is continuing to invest in its internal AI capability and is looking for an AI Software Engineer to join its dedicated AI squad. This role sits at the intersection of software engineering and applied AI. Rather than relying heavily on off-the-shelf products, the organisation is building its own enterprise-grade applications and AI solutions, designed around real business challenges and used across a large-scale operational environment. The Role As an AI Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities will include: Designing and developing scalable, maintainable software solutions using .NET/C# and Microsoft Azure. Building AI capabilities into enterprise applications and existing business processes. Developing solutions using Microsoft AI Foundry, Agent Framework and Azure AI services. Designing APIs, services and integrations to connect AI capabilities with wider enterprise systems. Building agentic AI applications, including multi-agent workflows and orchestration. Developing RAG solutions using vector search, enterprise data and retrieval techniques. Writing clean, maintainable and well-tested production code. Working with CI/CD pipelines, source control, automated testing and DevOps practices. Ensuring applications are secure, scalable, resilient and observable. Contributing to architecture, technical design and engineering standards. Working with stakeholders to understand business problems and translate them into effective software solutions. What We're Looking For Strong commercial software engineering experience, ideally within the Microsoft technology stack. Good development experience with C#/.NET and modern software engineering practices. Experience designing, building and deploying production applications within Microsoft Azure. Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services and enterprise systems. Strong understanding of DevOps, CI/CD, source control and automated testing. Experience building secure, scalable and maintainable production software. An interest in emerging AI technologies and how they can be applied to solve real business problems. You don't need to come from a traditional Data Science background. We're particularly interested in Software Engineers who have started building with AI and want AI engineering to become a bigger part of their career. This is an opportunity to join an established software engineering function with a dedicated AI capability, combining strong engineering practices with some of the latest developments across Microsoft AI. If you are interested in this opportunity and would like to hear more, please apply for the opportunity with an updated CV and contact information.
Aug 27, 2026
Full time
AI Engineer (.Net/AI) Location: Chester Hybrid Working Permanent - Full-time Salary: £50,000-£60,000 We're working with a leading UK organisation that is continuing to invest in its internal AI capability and is looking for an AI Software Engineer to join its dedicated AI squad. This role sits at the intersection of software engineering and applied AI. Rather than relying heavily on off-the-shelf products, the organisation is building its own enterprise-grade applications and AI solutions, designed around real business challenges and used across a large-scale operational environment. The Role As an AI Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities will include: Designing and developing scalable, maintainable software solutions using .NET/C# and Microsoft Azure. Building AI capabilities into enterprise applications and existing business processes. Developing solutions using Microsoft AI Foundry, Agent Framework and Azure AI services. Designing APIs, services and integrations to connect AI capabilities with wider enterprise systems. Building agentic AI applications, including multi-agent workflows and orchestration. Developing RAG solutions using vector search, enterprise data and retrieval techniques. Writing clean, maintainable and well-tested production code. Working with CI/CD pipelines, source control, automated testing and DevOps practices. Ensuring applications are secure, scalable, resilient and observable. Contributing to architecture, technical design and engineering standards. Working with stakeholders to understand business problems and translate them into effective software solutions. What We're Looking For Strong commercial software engineering experience, ideally within the Microsoft technology stack. Good development experience with C#/.NET and modern software engineering practices. Experience designing, building and deploying production applications within Microsoft Azure. Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services and enterprise systems. Strong understanding of DevOps, CI/CD, source control and automated testing. Experience building secure, scalable and maintainable production software. An interest in emerging AI technologies and how they can be applied to solve real business problems. You don't need to come from a traditional Data Science background. We're particularly interested in Software Engineers who have started building with AI and want AI engineering to become a bigger part of their career. This is an opportunity to join an established software engineering function with a dedicated AI capability, combining strong engineering practices with some of the latest developments across Microsoft AI. If you are interested in this opportunity and would like to hear more, please apply for the opportunity with an updated CV and contact information.
Network Security Architect Corsham Hybrid £600 per day Outside IR35 UKSV DV Cleared Are you an experienced Network Security Architect with a passion for designing secure, resilient, and mission-critical environments? We're seeking a highly skilled professional with a strong Secure by Design background and broad expertise across enterprise networking technologies click apply for full job details
Aug 27, 2026
Contractor
Network Security Architect Corsham Hybrid £600 per day Outside IR35 UKSV DV Cleared Are you an experienced Network Security Architect with a passion for designing secure, resilient, and mission-critical environments? We're seeking a highly skilled professional with a strong Secure by Design background and broad expertise across enterprise networking technologies click apply for full job details
Job Title Principal Engineer - AI Productivity Lab (Band F) Salary £92,701- £169,403, depending on location and experience Location Bristol, Edinburgh, Leeds or Manchester Working Pattern Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our office location. About this Opportunity We are looking for Principal Engineers to join our new AI Productivity Lab. The purpose of the Lab is to accelerate internal AI-driven employee productivity and process automation using the latest agentic coworking technologies. You will provide hands-on technical leadership for building domain-specific agents and tooling, and for developing internal knowledge and skills repositories that enable safe, repeatable automation aligned to business area operating procedures. Working with the Head of the Lab, you will execute agentic coworking initiatives with targeted business areas, partnering with line-of-business champions to embed agents into team processes, SOPs and tooling and to realise and measure benefits. You will be working within the Data & AI Unit of the Chief Technology Office (CTO), where we define and lead the Group's Data and AI technology strategy, serve as the Group's design authority for Data and AI, and inspire, develop and incubate new AI-driven products, capabilities and ways of working through applied research and product discovery. Day to day, you will Lead the engineering of coworking solutions (agents, tools and automations) for priority business areas, taking designs from prototype to operational MVP Design and build reusable capabilities for the Lab's coworking platform and repository (skills, tools and operating procedure assets) with a clear path to adoption Apply hands on experience of agentic coding and/or coworking tools and the open source ecosystem to evaluate options, recommend approaches and accelerate delivery Partner with business stakeholders and line of business champions to shape use cases, embed solutions into SOPs and measure outcomes Coach and mentor engineers through technical leadership, code review and constructive feedback, and engage senior stakeholders on technical direction What you'll need Proven experience leading the delivery of technology solutions to business areas in complex production environments, with ownership of business outcomes Extensive knowledge and hands on experience of solutions architecture, software engineering and business process automation Strong hands on experience with agentic coding and/or coworking technology and ecosystem (e.g. Claude Code and/or Cowork, OpenClaw, GitHub Copilot) Strong understanding of operational processes and risk management (Financial Services preferred) Ability to influence stakeholders and guide teams through ambiguity, translating productivity opportunities into clear technical direction and MVPs Desirable Expertise in knowledge management, enterprise ontology and knowledge graph technology Business process optimisation experience (e.g. Business Process Modelling, Lean Six Sigma) Experience with applied research / experimentation Advanced degree (MSc, PhD) in computer science, artificial intelligence or a related subject Why Lloyds Banking Group If you think all banks are the same, you'd be wrong. We're an innovative, fast changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. Benefits A generous pension contribution of up to 15% An annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Further information Ready for a career where you can have a positive impact as you learn, grow and thrive? At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
Aug 27, 2026
Full time
Job Title Principal Engineer - AI Productivity Lab (Band F) Salary £92,701- £169,403, depending on location and experience Location Bristol, Edinburgh, Leeds or Manchester Working Pattern Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our office location. About this Opportunity We are looking for Principal Engineers to join our new AI Productivity Lab. The purpose of the Lab is to accelerate internal AI-driven employee productivity and process automation using the latest agentic coworking technologies. You will provide hands-on technical leadership for building domain-specific agents and tooling, and for developing internal knowledge and skills repositories that enable safe, repeatable automation aligned to business area operating procedures. Working with the Head of the Lab, you will execute agentic coworking initiatives with targeted business areas, partnering with line-of-business champions to embed agents into team processes, SOPs and tooling and to realise and measure benefits. You will be working within the Data & AI Unit of the Chief Technology Office (CTO), where we define and lead the Group's Data and AI technology strategy, serve as the Group's design authority for Data and AI, and inspire, develop and incubate new AI-driven products, capabilities and ways of working through applied research and product discovery. Day to day, you will Lead the engineering of coworking solutions (agents, tools and automations) for priority business areas, taking designs from prototype to operational MVP Design and build reusable capabilities for the Lab's coworking platform and repository (skills, tools and operating procedure assets) with a clear path to adoption Apply hands on experience of agentic coding and/or coworking tools and the open source ecosystem to evaluate options, recommend approaches and accelerate delivery Partner with business stakeholders and line of business champions to shape use cases, embed solutions into SOPs and measure outcomes Coach and mentor engineers through technical leadership, code review and constructive feedback, and engage senior stakeholders on technical direction What you'll need Proven experience leading the delivery of technology solutions to business areas in complex production environments, with ownership of business outcomes Extensive knowledge and hands on experience of solutions architecture, software engineering and business process automation Strong hands on experience with agentic coding and/or coworking technology and ecosystem (e.g. Claude Code and/or Cowork, OpenClaw, GitHub Copilot) Strong understanding of operational processes and risk management (Financial Services preferred) Ability to influence stakeholders and guide teams through ambiguity, translating productivity opportunities into clear technical direction and MVPs Desirable Expertise in knowledge management, enterprise ontology and knowledge graph technology Business process optimisation experience (e.g. Business Process Modelling, Lean Six Sigma) Experience with applied research / experimentation Advanced degree (MSc, PhD) in computer science, artificial intelligence or a related subject Why Lloyds Banking Group If you think all banks are the same, you'd be wrong. We're an innovative, fast changing business that's shaping finance as a force for good. A bank that's empowering its people to innovate, explore possibilities and grow with purpose. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. Benefits A generous pension contribution of up to 15% An annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Further information Ready for a career where you can have a positive impact as you learn, grow and thrive? At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.
Founding Engineer, Agent Systems London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: Typically 6-7+ years, with flexibility for exceptional AI-native profiles Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Agent Systems Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Work on production AI systems used across financial services, regulated technology, and healthcare Own the agent platform powering customer-facing AI features Build the orchestration, evaluation, and reliability layers around frontier LLMs Turn model capabilities into production systems that domain experts can trust Set engineering standards for when AI features are reliable enough to ship Operate with founding-team levels of ownership and technical influence Work in a company already generating seven-figure revenue through multi-year enterprise contracts What you'll own Build and evolve the core agent orchestration platform Design multi-step agent workflows and tool-calling systems Build context-management and agent-scaffolding infrastructure Develop secure sandboxing for agent execution Implement prompt-injection defenses and other agent-security controls Build production evaluation frameworks for fuzzy, high-stakes outputs Curate evaluation datasets and regression suites Design and improve LLM-as-judge systems Evaluate model performance across upgrades and provider changes Build retries, fallbacks, and circuit-breaker mechanisms Own prompt versioning and AI-quality infrastructure Design systems around async processing, queues, and idempotency Define the internal standard for production AI quality Own AI reliability and make ship/no-ship decisions when necessary What we're looking for Strong professional backend engineering experience 1-2+ years of experience shipping production LLM-powered features Strong TypeScript or Node.js experience Experience building customer-facing production AI systems Hands-on experience with agent frameworks Experience with tool calling and multi-step orchestration Production experience building AI evaluations Experience with dataset curation and regression testing Understanding of LLM-as-judge approaches and failure modes Strong systems-thinking ability Experience with asynchronous systems and queues Understanding of idempotency and reliability patterns Strong product-engineering mindset Ability to own features from customer problem through production deployment High level of autonomy and accountability Based in London or able to commute regularly for an on-site-first role Particularly valuable experience Anthropic APIs OpenAI APIs Open-weight models Production LLM workloads at scale Agent orchestration frameworks AI evaluation infrastructure Model fallback architecture Prompt versioning Prompt-injection defense Agent security Sandboxed tool execution Production RAG systems High-stakes AI applications Compliance Governance, Risk and Compliance (GRC) Audit technology Cybersecurity Financial services Regulated enterprise software Strong profile signals Former founder or technical founder Former CTO returning to hands-on engineering Founding or early-stage engineering experience Experience at a high-growth product company Experience at a leading technology or AI organization Significant independent AI projects or side projects Strong evidence of product ownership History of shipping customer-facing systems end-to-end AI-native development workflow Heavy use of coding agents such as Claude Code or equivalent Ability to move between product, backend, AI systems, and reliability work Strong technical judgment rather than purely research-oriented expertise This role may not be the right fit if you Have exclusively front-end or front-end-first engineering experience Have a purely AI research background without production software engineering ownership Have worked primarily in Developer Relations or Developer Experience Have only built internal AI tools rather than customer-facing production systems Lack meaningful backend engineering experience Have AI experience limited to prototypes or demos Prefer research over shipping production products Lack experience taking ownership of production reliability Prefer narrowly scoped engineering responsibilities Are uncomfortable making judgment calls around AI quality and production readiness Are not comfortable working primarily on-site in London Technical environment TypeScript Node.js React Tailwind Express Azure Postgres Terraform GitHub Actions Docker Anthropic-first AI stack Claude Code What you'll get Founding-level ownership of the agent platform Significant influence over AI architecture and engineering standards Opportunity to build production-grade agent systems from an early stage Direct impact on customer-facing AI quality and reliability Exposure to frontier LLM APIs in demanding production environments Work on technically difficult evaluation and reliability problems Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Significant AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities Fast-moving engineering environment with high autonomy
Aug 27, 2026
Full time
Founding Engineer, Agent Systems London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: Typically 6-7+ years, with flexibility for exceptional AI-native profiles Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Agent Systems Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Work on production AI systems used across financial services, regulated technology, and healthcare Own the agent platform powering customer-facing AI features Build the orchestration, evaluation, and reliability layers around frontier LLMs Turn model capabilities into production systems that domain experts can trust Set engineering standards for when AI features are reliable enough to ship Operate with founding-team levels of ownership and technical influence Work in a company already generating seven-figure revenue through multi-year enterprise contracts What you'll own Build and evolve the core agent orchestration platform Design multi-step agent workflows and tool-calling systems Build context-management and agent-scaffolding infrastructure Develop secure sandboxing for agent execution Implement prompt-injection defenses and other agent-security controls Build production evaluation frameworks for fuzzy, high-stakes outputs Curate evaluation datasets and regression suites Design and improve LLM-as-judge systems Evaluate model performance across upgrades and provider changes Build retries, fallbacks, and circuit-breaker mechanisms Own prompt versioning and AI-quality infrastructure Design systems around async processing, queues, and idempotency Define the internal standard for production AI quality Own AI reliability and make ship/no-ship decisions when necessary What we're looking for Strong professional backend engineering experience 1-2+ years of experience shipping production LLM-powered features Strong TypeScript or Node.js experience Experience building customer-facing production AI systems Hands-on experience with agent frameworks Experience with tool calling and multi-step orchestration Production experience building AI evaluations Experience with dataset curation and regression testing Understanding of LLM-as-judge approaches and failure modes Strong systems-thinking ability Experience with asynchronous systems and queues Understanding of idempotency and reliability patterns Strong product-engineering mindset Ability to own features from customer problem through production deployment High level of autonomy and accountability Based in London or able to commute regularly for an on-site-first role Particularly valuable experience Anthropic APIs OpenAI APIs Open-weight models Production LLM workloads at scale Agent orchestration frameworks AI evaluation infrastructure Model fallback architecture Prompt versioning Prompt-injection defense Agent security Sandboxed tool execution Production RAG systems High-stakes AI applications Compliance Governance, Risk and Compliance (GRC) Audit technology Cybersecurity Financial services Regulated enterprise software Strong profile signals Former founder or technical founder Former CTO returning to hands-on engineering Founding or early-stage engineering experience Experience at a high-growth product company Experience at a leading technology or AI organization Significant independent AI projects or side projects Strong evidence of product ownership History of shipping customer-facing systems end-to-end AI-native development workflow Heavy use of coding agents such as Claude Code or equivalent Ability to move between product, backend, AI systems, and reliability work Strong technical judgment rather than purely research-oriented expertise This role may not be the right fit if you Have exclusively front-end or front-end-first engineering experience Have a purely AI research background without production software engineering ownership Have worked primarily in Developer Relations or Developer Experience Have only built internal AI tools rather than customer-facing production systems Lack meaningful backend engineering experience Have AI experience limited to prototypes or demos Prefer research over shipping production products Lack experience taking ownership of production reliability Prefer narrowly scoped engineering responsibilities Are uncomfortable making judgment calls around AI quality and production readiness Are not comfortable working primarily on-site in London Technical environment TypeScript Node.js React Tailwind Express Azure Postgres Terraform GitHub Actions Docker Anthropic-first AI stack Claude Code What you'll get Founding-level ownership of the agent platform Significant influence over AI architecture and engineering standards Opportunity to build production-grade agent systems from an early stage Direct impact on customer-facing AI quality and reliability Exposure to frontier LLM APIs in demanding production environments Work on technically difficult evaluation and reliability problems Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Significant AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities Fast-moving engineering environment with high autonomy
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Aug 27, 2026
Full time
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Full-time (35 hours per week), 3-year fixed-term contract with possibility of extension Hybrid working from our London office or remote working in England c.£27,500 per annum + 8% pension contribution. Benefits include: 25 days annual leave, rising after two years' service, plus bank holidays and additional leave between Christmas and New Year. About You: The Architectural Heritage Fund (AHF) is looking for a highly organised and detail-focused Grants Administrator to provide responsive administrative support to our Grants teams. Reporting to the England Development Manager and working closely with the Head of Grants and England Grants team as well as supporting our Grants teams for Wales, Scotland and Northern Ireland, you will help ensure our grants administration, application checks, records, spreadsheets, meetings and reporting processes run smoothly and efficiently. This is an excellent opportunity for someone with strong administrative, numerical and communication skills who wants to contribute to grant-making work that supports communities and helps bring historic buildings back into sustainable use. What you will be doing: Supporting the England Grants team with grant application assessment by checking documentation and keeping colleagues updated. Maintaining the Grants Budget Management Spreadsheet and liaising with Grants, Development, Programme and Finance colleagues to ensure records are accurate. Running monthly live grants reports and sharing information with relevant managers. Supporting monthly and quarterly grants meetings, including preparing agendas, formatting papers, taking minutes and updating meeting schedules. Maintaining the list of grants awarded on the AHF website and supporting bi-annual submissions to 360 Giving. Assisting with quarterly reporting and claims to funders. Providing administrative support for Consultant Project Advisor work, including consultant liaison, invoice processing and accurate record keeping. Coordinating Consultant Project Advisor fee payments with the Finance Team following sign-off. Providing wider administrative support to help the Grants programme operate effectively. Your Experience Ideally a Level 3 qualification in Administration, Business or Finance, or relevant A Levels. 2-3 years' experience of administration to include financial administration, ideally grants with a social investor or charity lender or funder. Responsive to customers by providing live tracking of applications and projects. Ability to work methodically and effectively as a member of a predominantly remote working team. Ability to work effectively with changing priorities and deadlines. Excellent organisational, written, and oral communication skills. Excellent numerical and general IT skills, accuracy, and attention to detail. Experience of using Database system(s). Experience of monitoring and managing a budget; familiarity with Excel. About the AHF AHF is a leading heritage charity founded in 1976 to help charities and social enterprises across the UK find solutions for vulnerable historic buildings. We do this by offering advice, grants, and loans. You can find more details of the AHF and the impact of our work on our website. We are a charity committed to being inclusive and giving everyone an equal chance to succeed - you can read more about our EDI commitments on our website.Applications are welcome from all regardless of age, sex, gender identity, disability, marriage or civil partnership, pregnancy and maternity, religion or belief, race, sexual orientation, transgender status or socio-economic background. How to apply Please submit your updated CV and cover letter (of up to 1.5 sides of A4, via the link provided. Your application must reach us no later than 9am on Friday 18th September 2026. Applications without covering letters will not be considered, and those with covering letters created using AI will be discounted. Please write your own tailored covering letter. If shortlisted for interview, we will be in touch with you by 25th September. However, we are a small charity and, due to the volume of applications we anticipate, we regret that we will be unable to provide feedback if you are not shortlisted. Interviews will take place during the week commencing 28th September 2026. These can be either online or in person at the AHF London office. Please indicate your preference in your application. REF-
Aug 27, 2026
Full time
Full-time (35 hours per week), 3-year fixed-term contract with possibility of extension Hybrid working from our London office or remote working in England c.£27,500 per annum + 8% pension contribution. Benefits include: 25 days annual leave, rising after two years' service, plus bank holidays and additional leave between Christmas and New Year. About You: The Architectural Heritage Fund (AHF) is looking for a highly organised and detail-focused Grants Administrator to provide responsive administrative support to our Grants teams. Reporting to the England Development Manager and working closely with the Head of Grants and England Grants team as well as supporting our Grants teams for Wales, Scotland and Northern Ireland, you will help ensure our grants administration, application checks, records, spreadsheets, meetings and reporting processes run smoothly and efficiently. This is an excellent opportunity for someone with strong administrative, numerical and communication skills who wants to contribute to grant-making work that supports communities and helps bring historic buildings back into sustainable use. What you will be doing: Supporting the England Grants team with grant application assessment by checking documentation and keeping colleagues updated. Maintaining the Grants Budget Management Spreadsheet and liaising with Grants, Development, Programme and Finance colleagues to ensure records are accurate. Running monthly live grants reports and sharing information with relevant managers. Supporting monthly and quarterly grants meetings, including preparing agendas, formatting papers, taking minutes and updating meeting schedules. Maintaining the list of grants awarded on the AHF website and supporting bi-annual submissions to 360 Giving. Assisting with quarterly reporting and claims to funders. Providing administrative support for Consultant Project Advisor work, including consultant liaison, invoice processing and accurate record keeping. Coordinating Consultant Project Advisor fee payments with the Finance Team following sign-off. Providing wider administrative support to help the Grants programme operate effectively. Your Experience Ideally a Level 3 qualification in Administration, Business or Finance, or relevant A Levels. 2-3 years' experience of administration to include financial administration, ideally grants with a social investor or charity lender or funder. Responsive to customers by providing live tracking of applications and projects. Ability to work methodically and effectively as a member of a predominantly remote working team. Ability to work effectively with changing priorities and deadlines. Excellent organisational, written, and oral communication skills. Excellent numerical and general IT skills, accuracy, and attention to detail. Experience of using Database system(s). Experience of monitoring and managing a budget; familiarity with Excel. About the AHF AHF is a leading heritage charity founded in 1976 to help charities and social enterprises across the UK find solutions for vulnerable historic buildings. We do this by offering advice, grants, and loans. You can find more details of the AHF and the impact of our work on our website. We are a charity committed to being inclusive and giving everyone an equal chance to succeed - you can read more about our EDI commitments on our website.Applications are welcome from all regardless of age, sex, gender identity, disability, marriage or civil partnership, pregnancy and maternity, religion or belief, race, sexual orientation, transgender status or socio-economic background. How to apply Please submit your updated CV and cover letter (of up to 1.5 sides of A4, via the link provided. Your application must reach us no later than 9am on Friday 18th September 2026. Applications without covering letters will not be considered, and those with covering letters created using AI will be discounted. Please write your own tailored covering letter. If shortlisted for interview, we will be in touch with you by 25th September. However, we are a small charity and, due to the volume of applications we anticipate, we regret that we will be unable to provide feedback if you are not shortlisted. Interviews will take place during the week commencing 28th September 2026. These can be either online or in person at the AHF London office. Please indicate your preference in your application. REF-
