Aioi Nissay Dowa Europe Limited

Aioi Nissay Dowa Europe Limited is hiring a Lead Machine Learning Engineer to drive technical and delivery leadership across ML projects in the R&D Lab. You will mentor engineers, shape best practices, and contribute hands-on on select projects while coordinating multiple engagements. The role includes overseeing solution design, risks, and quality across teams, with engagement in pre-sales and broader ML initiatives.

Overview We're AND E - one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We're looking for dynamic, driven professionals like you to help evolve our business in new directions. You'll need first class leadership credentials to bring our people with you on this journey and take us to the next level. You'll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands on contribution to technical delivery, acting as a part time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non technical stakeholders. If you'd like to be part of our brighter future, and share in our success, we'd love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements. Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab. Lead multidisciplinary teams of ML engineers, ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement. Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab. Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable. Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate. Contribute hands on to delivery where required, particularly on complex or high priority engagements. Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. Support pre sales activity in collaboration with the commercial team, including technical scoping and solution shaping. Partner with the Project Management function to scope, plan and support delivery engagements. Oversee the maintenance and continuous improvement of deployed solutions. Drive reuse of shared frameworks, standards and tooling across projects. Communicate technical decisions, risks and concerns clearly to non technical audiences. Knowledge, Experience and Qualifications - Essential PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production grade ML systems and leading technical work across teams or projects. Strong software engineering background, with experience building and delivering machine learning or data driven systems in production or near production environments. Experience leading or managing machine learning engineers or other technical contributors in a delivery focused setting. Experience supporting pre sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams. Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML enabled systems. Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse. Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non technical stakeholders. Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. Ability to communicate technical decisions, risks and trade offs clearly to both technical and non technical audiences. Strong problem solving, prioritisation and judgement in ambiguous, fast moving environments. Experience contributing hands on to technical delivery while also leading multiple projects or workstreams in parallel. Knowledge, Experience and Qualifications - Desirable Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. Experience in regulated, enterprise or operationally complex environments. Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else - so here's what you can enjoy about AND E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported - including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues' health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND E, equal opportunity is more than a policy-it's a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We're committed to making the process accessible and are happy to help.

Overview We're AND-E - one of the fastest-growing insurance companies. And we're proud of our warm and inclusive culture. We're building a diverse community, with a unique blend of strengths, to take our business to the next level. AND-E was shortlisted in the Best Insurance Employer category at the 2022 British Insurance Awards, earning a 5 rating! You will enjoy improving IT environments rather than simply maintaining them and be comfortable working across a broad range of responsibilities, from hands-on end-user support and device management through to Microsoft 365 administration, user access, automation and IT operations. You will thrive in a collaborative, fast-paced environment where you can work independently, take ownership of your responsibilities and build strong relationships across the business. You will be proactive, solutions-focused and committed to delivering a reliable, secure and user-focused IT service. This is an exciting opportunity to join the Aioi R&D Lab during a period of growth and organisational change. As the Lab moves towards operating as an independent entity, you will support the development of our IT environment by helping implement new systems, improve existing processes and contribute to building an efficient, secure and scalable technology function. If you're looking to go further, faster join us and enjoy every opportunity. CHALLENGED NOW AND-EXPERT NEXT Responsibilities Prepare, configure, maintain, and troubleshoot office IT equipment including laptops, peripherals, meeting room devices, and related hardware. Manage and maintain office network infrastructure including Wi-Fi, LAN, internet connectivity, and network security settings. Perform laptop setup, software installation, device configuration, onboarding, replacement, and lifecycle management for employees. Procure, configure, renew, and manage licenses for business applications and productivity tools. Administer user accounts and access permissions for email systems, cloud services, collaboration platforms, and other business applications. Manage corporate domains, email domains, DNS settings, and related administrative activities. Maintain security and reliability of Exchange Online and Microsoft 365 systems and services and leverage Azure AD & on-Prem Active Directory Systems to enable Role Based Access and improve security. Expansion and operation of the Microsoft 365 tenant in the group, and support and operation of systems and applications in the Windows on-premises environment, with Microsoft 365 or in Azure Develop and maintain automation scripts (i.e. PowerShell, Power Automate, etc.), and develop future strategies for Microsoft 365 products and services Provide help desk and user support services as the primary point of contact for IT operations, troubleshooting, and security-related inquiries. Knowledge, Experience and Qualifications Essential: Prepare, configure, maintain, and troubleshoot office IT equipment including laptops, peripherals, meeting room devices, and related hardware. Manage and maintain office network infrastructure including Wi-Fi, LAN, internet connectivity, and network security settings. Perform laptop setup, software installation, device configuration, onboarding, replacement, and lifecycle management for employees. Procure, configure, renew, and manage licenses for business applications and productivity tools. Administer user accounts and access permissions for email systems, cloud services, collaboration platforms, and other business applications. Manage corporate domains, email domains, DNS settings, and related administrative activities. Maintain security and reliability of Exchange Online and Microsoft 365 systems and services and leverage Azure AD & on-Prem Active Directory Systems to enable Role Based Access and improve security. Expansion and operation of the Microsoft 365 tenant in the group, and support and operation of systems and applications in the Windows on-premises environment, with Microsoft 365 or in Azure Develop and maintain automation scripts (i.e. PowerShell, Power Automate, etc.), and develop future strategies for Microsoft 365 products and services Provide help desk and user support services as the primary point of contact for IT operations, troubleshooting, and security-related inquiries. in technically complex and ambiguous environments involving multiple stakeholders. Desirable: Prepare, configure, maintain, and troubleshoot office IT equipment including laptops, peripherals, meeting room devices, and related hardware. Manage and maintain office network infrastructure including Wi-Fi, LAN, internet connectivity, and network security settings. Perform laptop setup, software installation, device configuration, onboarding, replacement, and lifecycle management for employees. Procure, configure, renew, and manage licenses for business applications and productivity tools. Administer user accounts and access permissions for email systems, cloud services, collaboration platforms, and other business applications. Manage corporate domains, email domains, DNS settings, and related administrative activities. Maintain security and reliability of Exchange Online and Microsoft 365 systems and services and leverage Azure AD & on-Prem Active Directory Systems to enable Role Based Access and improve security. Expansion and operation of the Microsoft 365 tenant in the group, and support and operation of systems and applications in the Windows on-premises environment, with Microsoft 365 or in Azure Develop and maintain automation scripts (i.e. PowerShell, Power Automate, etc.), and develop future strategies for Microsoft 365 products and services Provide help desk and user support services as the primary point of contact for IT operations, troubleshooting, and security-related inquiries. Experience in consulting, client-facing AI delivery, or regulated industry contexts such as insurance, financial services, or public-sector programmes. Familiarity with agentic systems design, MCP/A2A protocols, or inference-time privacy controls. Familiarity innovating with agentic-driven workflows and toolsets for both research and prototyping tasks, such as Claude, Claude-Code, CoPilot, etc. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else - so here's what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported - including embracing neurodiversity and providing the tools needed to thrive. Our community's unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues' health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 x Annual Salary Life Assurance Health and Well-being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family-friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest-free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND-E, equal opportunity is more than a policy-it's a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We're committed to making the process accessible and are happy to help.

Aioi Nissay Dowa Europe Limited (AND-E) is hiring for an IT Operations/Support role to enhance and secure our Microsoft 365 environment. You will configure hardware, manage network settings, and support users across the business. The role involves automation work with PowerShell/Power Automate, lifecycle management of devices, and acting as the primary IT contact for operations and security inquiries. Based in Oxford with on site responsibilities.

Overview We're AioiR&D Lab - an AItech hub in one of the fastest-growing insurance companies. We research and develop AI systems that catapult insurance from a slow-moving, traditional past into a data-driven, technology lead and society defining future. We're looking for dynamic, driven professionals like you to help evolve our business in new directions. You'll need first class credentials and a proactive attitude to help us drive the change that underpins our mission. We are seeking to recruit two Machine Learning Engineers to join our team on 18 month fixed term contracts. These are hybrid roles, offering a combination of at home and on site working. As a Machine Learning Engineer, you will support the development of a privacy preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment principles. Working within a multidisciplinary and multi partner environment, the postholder will help translate research and technical concepts into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners. If you'd like to be part of our brighter future, and share in our success, we'd love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Design, develop, test and maintain machine learning and AI software in support of the CODAS project and related R&D Lab initiatives. Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment ready applications. Support the translation of research outputs into robust, maintainable and operationally viable systems. Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities. Help adapt AI and ML approaches to privacy sensitive, security conscious and regulated deployment contexts. Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments. Troubleshoot technical, data and integration issues arising during development and deployment. Support the development and improvement of internal tooling, engineering standards, reusable frameworks and deployment practices across the Lab. Communicate technical trade offs, risks and progress clearly to both technical and non technical stakeholders. Knowledge, Experience and Qualifications Essential: Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. 2+ year work experience in relevant field. Strong software engineering capability in Python, including writing clean, maintainable, well tested and well documented code. Experience developing and deploying machine learning, AI or data driven systems in production or near production settings. Familiarity with Linux, Docker, version control, CI/CD and service oriented deployment practices. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Strong communication skills, including the ability to explain technical issues and trade offs clearly to non specialists. Desirable: Experience with generative AI systems, LLM enabled applications or evaluation pipelines. Experience with privacy preserving, secure or compliance sensitive technical environments. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Experience with data pipelines, APIs, system integration or user facing AI applications. Experience working in multi partner programmes involving industry, government or academia. Experience in regulated industries such as insurance, financial services, public sector or national scale infrastructure contexts. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else - so here's what you can enjoy about AND E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported - including embracing neurodiversity and providing the tools needed to thrive. Our community's unwritten rule is to be as flexible as we can be. We understand life happens, and on We like to think our benefits package is one of the best, focusing on colleagues' health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday Healix Private Medical Insurance Options 3 Annual Salary Life Assurance Health and Well being Support: Including money back on health expenses (optician, dental, physio), free flu jab voucher, 24/7 virtual GP service, employee assistance programme, and enhanced family friendly policies (e.g. £200 baby bonus). Financial and Lifestyle Benefits: Offers £250 towards driving lessons , interest free season ticket loan , cycle scheme with discounts, Wagestream for financial flexibility , and pension advisory services for retirement planning. Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND E, equal opportunity is more than a policy-it's a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments If you require any adjustments to support you during our recruitment process, please let us know. We're committed to making the process accessible and are happy to help.

Aioi Nissay Dowa Europe Limited is seeking two Machine Learning Engineers to join their AI R&D Lab on 18-month fixed-term contracts. These hybrid roles involve both remote and on-site work in Oxford, England, focusing on developing a privacy-preserving generative AI ecosystem. The successful candidates will design and maintain machine learning and AI software, translate R&D outputs into operational systems, and contribute to a sovereign AI ecosystem. Strong experience and a degree in a relevant field are required.

Overview We are seeking to recruit two Senior Machine Learning Scientists to join our team on 18-month fixed-term contracts. These are hybrid roles, offering a combination of at home and on-site working. The role will support the development of a privacy-preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment protocols and principles, as well as model-based data protection achieved during both training and inference time. Working within a multidisciplinary and multi-partner environment, the postholder will research technical concepts core to the program and contribute towards developing them into dependable systems and components that can be used in live settings, while also supporting the broader technical development of the Lab and its collaboration with CODAS and other project partners. Additionally, the postholder will create publishable material based on the work carried out in the program, and attend events such as conferences and workshops to disseminate the progress made. Responsibilities Lead or substantially contribute to technical research workstreams within assigned CODAS tracks, setting experimental direction and ensuring delivery of high-quality outputs within programme timelines. Design, develop and validate machine learning models, algorithms and approaches for privacy-preserving generative AI, including areas such as differential privacy, federated learning, and secure inference. Serve as a technical research lead on assigned workstreams; design novel approaches or adapt existing methods to meet programme objectives beyond the current state of the art. Contribute to the translation of research outcomes into proof-of-concept systems, toolkits and deployable components that form part of the programme deliverables. Work with internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities. Mentor and support junior colleagues (ML engineers and research associates), scoping and delegating tasks aligned to their development and the needs of the programme. Contribute to scientific publications, technical reports, conference presentations and other dissemination activities in support of the programmes commitment to advancing the field. Champion best practices in ML research, software design, experimental rigor, reproducibility and responsible AI across the team. Communicate complex technical findings and trade-offs clearly to both technical and non-technical stakeholders, including partner organisations and programme leadership. Knowledge, Experience and Qualifications - Essential A Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a closely related discipline, or equivalent research or industry experience. 5+ year work experience in relevant field. A strong and demonstrable track record in applied ML/AI research or development, with recognised expertise in one or more relevant areas such as privacy-preserving ML, generative AI, large language models, or federated learning. Deep understanding of modern ML methods, their assumptions and limitations, and the ability to reason about appropriate application in novel or constrained settings. Strong software engineering foundations in Python, including ML frameworks, version control, CI/CD, and reproducible experimental practices. Strong skills handling challenging data that requires understanding, preparation, organisations and augmentation before use for the purposes of ML/AI research or development Experience working across the full ML lifecycle - from problem framing, experimentation and prototyping through to evaluation, integration and deployment. Ability to contribute to scientific publications, technical reports, and the dissemination of research findings to a wide audience. Proven ability to mentor or support junior colleagues and scope technical work aligned to team and programme goals. Strong communication skills, with the ability to explain complex technical concepts and trade-offs clearly to both technical and non-technical audiences. Ability to work effectively in technically complex and ambiguous environments involving multiple stakeholders. Knowledge, Experience and Qualifications - Desirable Experience with privacy-preserving ML techniques such as differential privacy, federated learning, secure computation, or membership inference resistance. Experience with generative AI systems, large language models, agentic AI approaches, or evaluation methodologies for frontier AI. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tooling. Contributions to open-source AI or ML projects, or a track record of published research in relevant areas. Experience working in a multi-partner programme involving industry, government or academia. Experience in consulting, client-facing AI delivery, or regulated industry contexts such as insurance, financial services, or public-sector programmes. Familiarity with agentic systems design, MCP/A2A protocols, or inference-time privacy controls. Familiarity innovating with agentic-driven workflows and toolsets for both research and prototyping tasks, such as Claude, Claude-Code, CoPilot, etc. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else - so here's what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported - including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues' health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We're committed to making the process accessible and are happy to help.

Overview We're AND-E - one of the fastest-growing insurance companies. And we're proud of our warm and inclusive culture. We're building a diverse community, with a unique blend of strengths, to take our business to the next level. As a DevOps Engineer, you'll be at the heart of our platforms, helping keep everything running smoothly behind the scenes while we deliver for our customers. You'll get hands on with AWS, working across monitoring, incident response, automation, and CI/CD - all the good stuff that keeps modern platforms fast, reliable, and scalable. This isn't a role where you'll just keep the lights on. You'll be solving real problems, reducing manual effort, and helping shape how we build and run our systems going forward. You'll work closely with experienced engineers, share ideas, and continuously look for smarter, better ways of doing things. Your work will directly support the systems that power our business, making sure they're ready when our customers need them most. If you're curious, collaborative, and enjoy solving meaningful technical challenges, this could be your next move-join us and take your career further. CHALLENGED NOW AND-EXPERT NEXT. Responsibilities Manage and support AWS services (EC2, RDS, S3, Lambda, networking), while driving automation using Shell, Python, and AWS-native solutions to improve efficiency and reliability. Assist in building and maintaining CI/CD pipelines using tools such as AWS CodePipeline and Jenkins. Support cloud-based deployment, monitoring, and operational tooling across application environments. Maintain platform availability, resilience, and disaster recovery capabilities, contributing to service reliability improvements (SLIs/SLOs). Participate in deployments, releases, and day to day operational support across multiple applications. Monitor system health, including application environments, scheduled jobs, integrations, and message queues, and contribute to logging and alerting standards. Support incident management activities, including triage, troubleshooting, escalation, root cause analysis (RCA), and continuous improvement based on incident trends. Assist with routine maintenance tasks such as data validation, fixes, and batch/integration support. Support containerisation using Docker and follow best practices for image creation and management. Assist with infrastructure and system administration tasks across Linux and Windows environments. Apply Infrastructure as Code (IaC) principles using Terraform. Follow DevOps best practices, including branching strategies and source control using Git and Bitbucket. Contribute to technical documentation, runbooks, and operational procedures using Confluence and Bitbucket. Collaborate in Agile ceremonies with cross functional teams, including developers, testers, infrastructure teams, and third party vendors. Support planned out of hours changes and incidents where required. Participate in cost awareness and optimisation activities within AWS environments. Knowledge, Experience and Qualifications Essential Experience in IT support and systems administration. Basic understanding of ITIL, DevOps, Agile, and Kanban principles. Exposure to Linux administration and troubleshooting. Hands on exposure to AWS core services (EC2, S3, RDS, IAM, CloudWatch). Understanding of CI/CD pipelines and deployment automation. Familiarity with monitoring, logging, and observability tools. Awareness of application platforms and middleware such as Java, Tomcat, Apache, and NodeJS. Experience using Git and collaborative development workflows. Basic scripting skills using Shell or Python. Understanding of containerisation concepts using Docker. Strong problem solving skills and attention to detail. Good communication and interpersonal skills. Willingness to learn and develop within a fast paced technical environment. Understanding of incident management and production support environments. Awareness of security best practices (IAM roles, secrets management). Desirable Exposure to Guidewire applications. Exposure to Terraform or Infrastructure as Code (IaC) tooling. Knowledge of AWS Lambda, serverless, and event driven architecture. Experience within insurance or financial services environments. Experience with EKS / container orchestration (or strong Docker usage). Experience working in 24/7 production environments, ideally within regulated settings. Understanding of release management and change controls in regulated environments. Why Join Us? We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career. We realise that we need to be a good fit for you above all else - so here's what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer - we are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported - including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues' health, wealth, and lifestyle. We offer: Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday 7.5% Discretionary Annual Bonus Healix Private Medical Insurance Options 3 Annual Salary Life Assurance A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons for you and your family. Additional perks such as a pension advisory service, family friendly policies, season ticket loan , cycle scheme , and financial flexibility through Wagestream . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics). At AND E, equal opportunity is more than a policy-it's a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We're committed to making the process accessible and are happy to help.

Aioi Nissay Dowa Europe Limited is seeking two Senior Machine Learning Scientists for 18-month hybrid contracts in Oxford. You will lead technical research to advance a privacy-preserving generative AI ecosystem, contributing to the development of trustworthy systems and components. With responsibilities including mentoring junior colleagues and disseminating research findings, you will have ample opportunity to grow in this role. The position encompasses a commitment to innovation and collaboration within a multidisciplinary environment.

Aioi Nissay Dowa Europe Limited is seeking a DevOps Engineer in Newcastle upon Tyne to manage and support AWS services, ensuring operational efficiency and reliability. The ideal candidate will handle automation, CI/CD, and cloud-based deployments to enhance system performance. The company offers a robust benefits package, competitive salary, and a supportive work environment focused on growth and inclusivity.