Aurora Energy Research Limited
Oxford, Oxfordshire
Internal Systems Engineering Lead Department: Internal Technology Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will join the Internal Technology team as our Internal Systems Engineering Lead (Engineering Manager) - a new and pivotal role supporting the Head of Architecture and Engineering. You will lead and develop a talented group of engineers across the Modern Workplace, Data, and System Specialist teams, ensuring that Aurora continues to deliver secure, reliable, and innovative technology solutions that empower our people and operations. You will focus on people, process, and performance - creating an environment where engineers can thrive, and delivery teams can operate effectively. Acting as a force multiplier for the Head of Architecture and Engineering, you will take ownership of line management, training, and delivery ceremonies, while collaborating on strategy and technical direction. This role will suit someone who has grown from an engineering or solutions architecture background into a leadership position, ideally with experience in the Microsoft ecosystem (M365, Azure, Exchange, Intune, SharePoint, etc) and cloud first environments. Key Responsibilities Line manage engineers across the Modern Workplace, Data, and System Specialist teams Take ownership of, run and continuously improve team ceremonies, including sprint planning, stand-ups, and retrospectives Build and maintain competency frameworks and training plans for each discipline Work closely with Head of Architecture and Engineering and lead engineers to ensure technical delivery aligns with Aurora's strategic priorities Develop and optimise delivery processes to ensure consistency, scalability, and continuous improvement, within engineering teams and in collaboration with the wider Internal Technology department Serve as a trusted point of escalation for people and performance matters Partner with the Head of Architecture and Engineering to ensure that the engineering functions operate efficiently, maintaining a strong culture of collaboration and growth alongside the wider Internal Technology department Support engineers with professional development, including coaching, mentorship, and goal setting Support engineers in the delivery of technical solutions, drawing on past hands on experience as an engineer or architect. Ensure effective and proactive escalation to the Head of Architecture and Engineering where required Skills, Knowledge and Expertise Required attributes: Excellent people leader with a proven track record leading teams and developing high performance culture Proven experience in engineering or delivery management, ideally across multiple technical disciplines Previous hands on experience as an engineer, consultant, or solutions architect Strong knowledge of Microsoft technologies, particularly M365 and Azure, to deliver internal IT capabilities Experience running agile ceremonies and improving delivery processes Excellent interpersonal skills, with the ability to coach, mentor, and resolve challenges constructively Experience implementing competency frameworks and performance metrics Highly organised, delivery-focused, and able to prioritise effectively A collaborative and positive approach to problem-solving Desirable attributes: Experience in consultancy or professional services environments Understanding of data engineering practices and business intelligence concepts Familiarity with enterprise systems such as Salesforce, SAP, or Dynamics 365 F&O Experience with utilising CI/CD patterns and DevOps tooling to orchestrate configuration across environments Experience working with Project Managers to deliver broad impact solutions What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
Mar 12, 2026
Full time
Internal Systems Engineering Lead Department: Internal Technology Employment Type: Permanent - Full Time Location: Oxford, UK Description Based in Oxford, you will join the Internal Technology team as our Internal Systems Engineering Lead (Engineering Manager) - a new and pivotal role supporting the Head of Architecture and Engineering. You will lead and develop a talented group of engineers across the Modern Workplace, Data, and System Specialist teams, ensuring that Aurora continues to deliver secure, reliable, and innovative technology solutions that empower our people and operations. You will focus on people, process, and performance - creating an environment where engineers can thrive, and delivery teams can operate effectively. Acting as a force multiplier for the Head of Architecture and Engineering, you will take ownership of line management, training, and delivery ceremonies, while collaborating on strategy and technical direction. This role will suit someone who has grown from an engineering or solutions architecture background into a leadership position, ideally with experience in the Microsoft ecosystem (M365, Azure, Exchange, Intune, SharePoint, etc) and cloud first environments. Key Responsibilities Line manage engineers across the Modern Workplace, Data, and System Specialist teams Take ownership of, run and continuously improve team ceremonies, including sprint planning, stand-ups, and retrospectives Build and maintain competency frameworks and training plans for each discipline Work closely with Head of Architecture and Engineering and lead engineers to ensure technical delivery aligns with Aurora's strategic priorities Develop and optimise delivery processes to ensure consistency, scalability, and continuous improvement, within engineering teams and in collaboration with the wider Internal Technology department Serve as a trusted point of escalation for people and performance matters Partner with the Head of Architecture and Engineering to ensure that the engineering functions operate efficiently, maintaining a strong culture of collaboration and growth alongside the wider Internal Technology department Support engineers with professional development, including coaching, mentorship, and goal setting Support engineers in the delivery of technical solutions, drawing on past hands on experience as an engineer or architect. Ensure effective and proactive escalation to the Head of Architecture and Engineering where required Skills, Knowledge and Expertise Required attributes: Excellent people leader with a proven track record leading teams and developing high performance culture Proven experience in engineering or delivery management, ideally across multiple technical disciplines Previous hands on experience as an engineer, consultant, or solutions architect Strong knowledge of Microsoft technologies, particularly M365 and Azure, to deliver internal IT capabilities Experience running agile ceremonies and improving delivery processes Excellent interpersonal skills, with the ability to coach, mentor, and resolve challenges constructively Experience implementing competency frameworks and performance metrics Highly organised, delivery-focused, and able to prioritise effectively A collaborative and positive approach to problem-solving Desirable attributes: Experience in consultancy or professional services environments Understanding of data engineering practices and business intelligence concepts Familiarity with enterprise systems such as Salesforce, SAP, or Dynamics 365 F&O Experience with utilising CI/CD patterns and DevOps tooling to orchestrate configuration across environments Experience working with Project Managers to deliver broad impact solutions What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle-to-work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in-office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity. To apply, please submit your Résumé / CV, a personal summary, your salary expectations and please inform us of your notice period. Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
Senior Product Engineer (AWS Serverless, TypeScript, Node) Location: Manchester / Hybrid (2 times a week in the office) Salary: Up to £85,000 (DOE) Sector: HeathTech About the Opportunity How would you like to work on products designed to improve people's lives? This is an opportunity for a Senior Software Engineer to join a Tech for Good business in Manchester as they embark on an ambitious roadmap of new products and services. They are looking for an experienced Software Engineer with a Product and Commercial mindset to help drive the next phase of their platform evolution. This will get you excited if you're a 'product builder' with a 'You Build It, You Run It' mindset. It's a company where your voice is heard, giving you the opportunity to shape the product. You'll understand business needs will be able to adapt quickly. It's a key role with a focus on delivering modern, API-driven solutions that power their product ecosystem. You'll have experience in the follow: Strong backend development experience with TypeScript/Node or Python. Deep experience with API design, client-server systems, and distributed architectures. Hands-on experience with message queues and asynchronous system design. Knowledge of cloud services (AWS preferred, but Azure/GCP also fine- easy to transition). Solid understanding of logging, monitoring, security considerations, and modern DevOps practices. Background in enterprise-level engineering or building production-grade systems. Experience with serverless (Lambda or equivalent). CI/CD knowledge and infrastructure-as-code concepts (e.g., Terraform). Strong interest in improving systems holistically - architecture, performance, security. This is an opportunity to join an ethically sound business that is genuinely trying to improve people's health. There is a broad technical scope - backend engineering, cloud, distributed systems and integrations - and a role with influence and room to grow. Interview Process Initial meet & greet Technical Interview Final interview / offer If you are a Senior Software Engineer and looking to work with cutting edge technology, in a scaling and successful company that cares about ethics, then please apply today!
Mar 12, 2026
Full time
Senior Product Engineer (AWS Serverless, TypeScript, Node) Location: Manchester / Hybrid (2 times a week in the office) Salary: Up to £85,000 (DOE) Sector: HeathTech About the Opportunity How would you like to work on products designed to improve people's lives? This is an opportunity for a Senior Software Engineer to join a Tech for Good business in Manchester as they embark on an ambitious roadmap of new products and services. They are looking for an experienced Software Engineer with a Product and Commercial mindset to help drive the next phase of their platform evolution. This will get you excited if you're a 'product builder' with a 'You Build It, You Run It' mindset. It's a company where your voice is heard, giving you the opportunity to shape the product. You'll understand business needs will be able to adapt quickly. It's a key role with a focus on delivering modern, API-driven solutions that power their product ecosystem. You'll have experience in the follow: Strong backend development experience with TypeScript/Node or Python. Deep experience with API design, client-server systems, and distributed architectures. Hands-on experience with message queues and asynchronous system design. Knowledge of cloud services (AWS preferred, but Azure/GCP also fine- easy to transition). Solid understanding of logging, monitoring, security considerations, and modern DevOps practices. Background in enterprise-level engineering or building production-grade systems. Experience with serverless (Lambda or equivalent). CI/CD knowledge and infrastructure-as-code concepts (e.g., Terraform). Strong interest in improving systems holistically - architecture, performance, security. This is an opportunity to join an ethically sound business that is genuinely trying to improve people's health. There is a broad technical scope - backend engineering, cloud, distributed systems and integrations - and a role with influence and room to grow. Interview Process Initial meet & greet Technical Interview Final interview / offer If you are a Senior Software Engineer and looking to work with cutting edge technology, in a scaling and successful company that cares about ethics, then please apply today!
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Site Reliability Engineer (SRE) - Secrets Management is responsible for the reliable operation, automation, and support of BCG's secrets management platforms, with a primary focus on HashiCorp Vault. This role ensures that credentials, keys, and tokens are securely stored and managed while applying SRE principles to maintain performance, availability, and security across Vault and cloud-native secret stores. As a Vault-focused SME, the SRE will work closely with platform engineering, SecOps, cloud teams, and security engineering to integrate secrets management into enterprise workflows, strengthen security posture, and improve developer experience. This role emphasizes hands-on engineering, operational excellence, and continuous improvement rather than people or program management. Key Responsibilities: Secrets Management & Operations Support day-to-day operations of HashiCorp Vault and cloud-native secret stores (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager). Configure, maintain, and troubleshoot Vault clusters, namespaces, auth methods, secret engines, and policies. Develop and maintain processes for secure storage, rotation, and lifecycle management of credentials, certificates, and keys. Ensure vault services are reliable, monitored, and available for global teams with defined SLAs. Build automation for provisioning, storing, rotating, and managing credentials, certificates, and keys. Service Reliability & Assurance Apply SRE principles to enhance reliability, performance, and scalability of secrets management services. Build and maintain monitoring, alerting, and dashboards for vault performance, access patterns, anomalies, and system health. Participate in incident response for secrets-related issues and contribute to root cause analysis and long-term corrective actions. Assist with capacity planning and performance tuning of Vault and related infrastructure. Monitor systems for performance and security events; partner with incident response teams for remediation. Define and track operational KPIs and SLOs for secrets management services. Governance, Compliance & Risk Align secrets management processes with BCG compliance requirements Ensure audit logging, rotation policies, classification tags, and least-privilege controls are accurately enforced. Support security teams in audit readiness, evidence gathering, and policy validation. Partner with governance and security teams to ensure enforceable policies are embedded into processes and tools. Support audits and implement automated compliance checks within secrets management workflows. Collaboration & Enablement Work closely with platform, DevOps, and application teams to integrate secrets management into CI/CD pipelines and workflows. Provide guidance and enablement to developers and engineers on using vault services securely and effectively. Contribute to documentation, standards, and training to improve adoption and consistent usage of secrets management platforms. Vendor & Financial Oversight C Support technical engagement with vendors and cloud providers. Leadership & Development Manage and mentor engineers responsible for secrets management operations. Continuous Improvement & Tooling Drive a culture of continuous improvement, knowledge sharing, and accountability. Identify opportunities to improve reliability, automation, and developer usability of secrets platforms. Support optimization efforts across Vault and cloud-vault services. Collaborate with senior engineers on enhancements to architecture, controls, and processes. What You'll Bring Required Qualifications 3-5+ years of experience in Site Reliability Engineering, platform engineering, or security engineering. 3+ years of experience managing secrets management platforms (e.g., HashiCorp Vault, AWS KMS, Azure Key Vault, GCP Secret Manager). Hands-on expertise with cloud-native environments (AWS, Azure, GCP). Experience embedding security into DevSecOps pipelines and Infrastructure-as-Code. Familiarity with cloud-native secret services such as AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager. Understanding of secret lifecycle management, cryptographic key handling, and secure credential practices. Experience with Terraform or similar Infrastructure-as-Code tools. Experience integrating secrets into CI/CD pipelines and cloud-native workloads. Strong troubleshooting and system analysis skills; ability to work across distributed systems. Demonstrated ability to manage complex services and present technical solutions to stakeholders. Preferred Qualifications Certifications such as CISSP, CCSP, AWS/Azure Security Specialty, or HashiCorp Vault Certification. Experience with automation frameworks, containerization (Docker/Kubernetes), and CI/CD tools. Familiarity with SRE practices and monitoring/observability tools. Experience with Kubernetes, containers, and modern workload identity approaches (JWT, OIDC, SPIFFE/SPIRE). Basic understanding of compliance frameworks and security standards. Additional info Work Environment & Additional Information Hybrid or on-site work model. Occasional travel may be required for business or team engagements. Ability to thrive in a fast-paced, global environment balancing operational priorities with security requirements. For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. • The base salary range for this role begins at $121,000 in our lowest cost US region and goes up to $164,000 in our highest cost US region. Your recruiting contact can share more about the specific salary range for your preferred location during the hiring process. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Mar 12, 2026
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Site Reliability Engineer (SRE) - Secrets Management is responsible for the reliable operation, automation, and support of BCG's secrets management platforms, with a primary focus on HashiCorp Vault. This role ensures that credentials, keys, and tokens are securely stored and managed while applying SRE principles to maintain performance, availability, and security across Vault and cloud-native secret stores. As a Vault-focused SME, the SRE will work closely with platform engineering, SecOps, cloud teams, and security engineering to integrate secrets management into enterprise workflows, strengthen security posture, and improve developer experience. This role emphasizes hands-on engineering, operational excellence, and continuous improvement rather than people or program management. Key Responsibilities: Secrets Management & Operations Support day-to-day operations of HashiCorp Vault and cloud-native secret stores (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager). Configure, maintain, and troubleshoot Vault clusters, namespaces, auth methods, secret engines, and policies. Develop and maintain processes for secure storage, rotation, and lifecycle management of credentials, certificates, and keys. Ensure vault services are reliable, monitored, and available for global teams with defined SLAs. Build automation for provisioning, storing, rotating, and managing credentials, certificates, and keys. Service Reliability & Assurance Apply SRE principles to enhance reliability, performance, and scalability of secrets management services. Build and maintain monitoring, alerting, and dashboards for vault performance, access patterns, anomalies, and system health. Participate in incident response for secrets-related issues and contribute to root cause analysis and long-term corrective actions. Assist with capacity planning and performance tuning of Vault and related infrastructure. Monitor systems for performance and security events; partner with incident response teams for remediation. Define and track operational KPIs and SLOs for secrets management services. Governance, Compliance & Risk Align secrets management processes with BCG compliance requirements Ensure audit logging, rotation policies, classification tags, and least-privilege controls are accurately enforced. Support security teams in audit readiness, evidence gathering, and policy validation. Partner with governance and security teams to ensure enforceable policies are embedded into processes and tools. Support audits and implement automated compliance checks within secrets management workflows. Collaboration & Enablement Work closely with platform, DevOps, and application teams to integrate secrets management into CI/CD pipelines and workflows. Provide guidance and enablement to developers and engineers on using vault services securely and effectively. Contribute to documentation, standards, and training to improve adoption and consistent usage of secrets management platforms. Vendor & Financial Oversight C Support technical engagement with vendors and cloud providers. Leadership & Development Manage and mentor engineers responsible for secrets management operations. Continuous Improvement & Tooling Drive a culture of continuous improvement, knowledge sharing, and accountability. Identify opportunities to improve reliability, automation, and developer usability of secrets platforms. Support optimization efforts across Vault and cloud-vault services. Collaborate with senior engineers on enhancements to architecture, controls, and processes. What You'll Bring Required Qualifications 3-5+ years of experience in Site Reliability Engineering, platform engineering, or security engineering. 3+ years of experience managing secrets management platforms (e.g., HashiCorp Vault, AWS KMS, Azure Key Vault, GCP Secret Manager). Hands-on expertise with cloud-native environments (AWS, Azure, GCP). Experience embedding security into DevSecOps pipelines and Infrastructure-as-Code. Familiarity with cloud-native secret services such as AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager. Understanding of secret lifecycle management, cryptographic key handling, and secure credential practices. Experience with Terraform or similar Infrastructure-as-Code tools. Experience integrating secrets into CI/CD pipelines and cloud-native workloads. Strong troubleshooting and system analysis skills; ability to work across distributed systems. Demonstrated ability to manage complex services and present technical solutions to stakeholders. Preferred Qualifications Certifications such as CISSP, CCSP, AWS/Azure Security Specialty, or HashiCorp Vault Certification. Experience with automation frameworks, containerization (Docker/Kubernetes), and CI/CD tools. Familiarity with SRE practices and monitoring/observability tools. Experience with Kubernetes, containers, and modern workload identity approaches (JWT, OIDC, SPIFFE/SPIRE). Basic understanding of compliance frameworks and security standards. Additional info Work Environment & Additional Information Hybrid or on-site work model. Occasional travel may be required for business or team engagements. Ability to thrive in a fast-paced, global environment balancing operational priorities with security requirements. For US locations only In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. • The base salary range for this role begins at $121,000 in our lowest cost US region and goes up to $164,000 in our highest cost US region. Your recruiting contact can share more about the specific salary range for your preferred location during the hiring process. This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 16% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. All of our plans provide best in class coverage: Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Cloud Support Engineer - Hybrid Cloud, VMware, Exchange, Windows Server, SQL, Support, Active Directory, DNS This well-established organisation requires a driven and self-motivated Cloud Support Engineer to join their busy technical services team, and motivate those around them. The key to this role is customer service and hence you will be a good communicator with plenty of energy and enthusiasm and will have worked extensively within a Service driven ITIL environment. Key Responsibilities: Support all server and desktop based operating systems and applications Strong experience with virtualisation tech such as VMware and Nutanix Experience with automation and IaC tools such as Terraform and Ansible Active Directory, VMware, Exchange, TCP/IP, DNS, PC Imaging Software Monitor and make recommendations regarding the performance of servers within the environment Deploying and configuring Private and Public Cloud environments such as AWS and Azure Scripting skills including PowerShell The company have an excellent reputation within their sector. They really look after their employees by offering structured training, the opportunity to develop your technical knowledge and a clearly defined career path. The current vacancy is for an innovative IT solutions organisation who are looking for a Cloud Support Engineer to provide specialist support. Benefits for this role include Healthcare, Life Assurance, Gym, Free Parking, Discounts and more! Cloud, VMware, Exchange, Windows Server, SQL, Support, Active Directory, DNS Email your cv for consideration to Alex - contact (phone number removed) If you have not heard back from us within 5 working days, please assume that your application has been unsuccessful on this occasion. Your profile may be considered for other suitable vacancies that arise within the next 12 weeks.
Mar 12, 2026
Full time
Cloud Support Engineer - Hybrid Cloud, VMware, Exchange, Windows Server, SQL, Support, Active Directory, DNS This well-established organisation requires a driven and self-motivated Cloud Support Engineer to join their busy technical services team, and motivate those around them. The key to this role is customer service and hence you will be a good communicator with plenty of energy and enthusiasm and will have worked extensively within a Service driven ITIL environment. Key Responsibilities: Support all server and desktop based operating systems and applications Strong experience with virtualisation tech such as VMware and Nutanix Experience with automation and IaC tools such as Terraform and Ansible Active Directory, VMware, Exchange, TCP/IP, DNS, PC Imaging Software Monitor and make recommendations regarding the performance of servers within the environment Deploying and configuring Private and Public Cloud environments such as AWS and Azure Scripting skills including PowerShell The company have an excellent reputation within their sector. They really look after their employees by offering structured training, the opportunity to develop your technical knowledge and a clearly defined career path. The current vacancy is for an innovative IT solutions organisation who are looking for a Cloud Support Engineer to provide specialist support. Benefits for this role include Healthcare, Life Assurance, Gym, Free Parking, Discounts and more! Cloud, VMware, Exchange, Windows Server, SQL, Support, Active Directory, DNS Email your cv for consideration to Alex - contact (phone number removed) If you have not heard back from us within 5 working days, please assume that your application has been unsuccessful on this occasion. Your profile may be considered for other suitable vacancies that arise within the next 12 weeks.
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions Contribute to internal initiatives such as; blogs, technical forums Requirements (These are not ) Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Mar 12, 2026
Full time
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. We recognise "data" is broad, that's why we're keen to speak to those from a heavy data background and cloud natives with experience in building software of high quality standards. As an outcome based consulting business we look for people who enjoy taking a consultative approach to solving problems in a holistic, end to end fashion. We have a highly talented, diverse team; from different backgrounds & with different experiences which we are keen for you to learn from & will want to learn from you. Responsibilities You will be responsible for the technical implementation and delivery of modern data systems as well as AI enabled applications Solve end to end data problems/opportunities at scale Contributing to solution architecture & design Working with our customers to take them on a journey to success bringing their data strategy to life Engage with your cross-functional squad across discovery & delivery phases of engagements; advisory, design & implementation of end-to-end solutions Contribute to internal initiatives such as; blogs, technical forums Requirements (These are not ) Good grasp of modern data engineering (distributed systems, data streaming, event-based architectures etc) and how to apply them Experience with software engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems Nice to have: keen interest in modern AI/ML techniques Why Indicium AI Fast-growing start-up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
# Our Privacy Statement & Cookie Policy Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, )We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by stateof-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data- driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Required qualifications: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity Preferred qualifications : High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together
Mar 12, 2026
Full time
# Our Privacy Statement & Cookie Policy Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, )We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by stateof-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data- driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic patterns at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Required qualifications: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity Preferred qualifications : High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You will enjoy: Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.Thomson Reuters informs the way forward by bringing together
Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. The Team The Data & Digital Advisory team is a key part of our larger Technology and Digital Consulting practice comprising over 100 technologists. We specialise in providing expert advice and guidance across a range of domain areas, with a primary focus on data protection, data governance, Artificial Intelligence (AI) strategy and governance, technology strategy and transaction IT due diligence. We collaborate closely with clients to understand their unique data and digital opportunities and challenges, delivering tailored, actionable advice. Our support encompasses assessing, building, and managing data and digital capabilities. This includes identifying and mitigating data, AI, and IT risks; selecting vendors to maximise solution value; managing projects for tangible results; establishing robust data governance; ensuring regulatory compliance (including data privacy and AI regulations); and harnessing the potential of emerging technologies like AI. The Role Joining as a Senior Consultant within the Data & Digital Advisory team, you will play a crucial role in delivering a diverse portfolio of services to our clients, contributing significantly to both project execution and our team's growth. This role offers a unique opportunity to gain broad experience across interconnected data and digital domains. Key Responsibilities: Client Engagement Delivery: Actively participate in client-facing engagements, contributing to the delivery of high-quality work products and deliverables across our service portfolio. Analysis & Recommendations: Support the analysis of client environments and challenges, developing insightful recommendations aligned with their strategic objectives, communicated clearly and concisely. Stakeholder Management: Effectively collaborate with diverse stakeholders, including client personnel (from operational to senior levels) and internal colleagues across Forvis Mazars. Domain Expertise Application: Demonstrate and apply a solid understanding across our advisory domains, particularly Data Protection & Data Governance. An understanding and experience in working with AI Regulation and in AI Governance. Foundational knowledge of digital domains such as Enterprise Architecture, Cloud, Technology Due Diligence, and how these translate into relevant, industry-leading practices and integrated solutions. Reporting & Communication: Assist in coordinating engagement findings, producing well-structured written reports, and supporting the delivery of compelling presentations to senior stakeholders. Adaptable Delivery: Flex delivery style appropriately between strategic advisory engagements and risk-focused assurance projects delivered via internal audit channels. Innovation & Market Awareness: Contribute to identifying and understanding emerging technology trends, particularly in data and AI, and support the integration of innovative approaches into our service offerings. Engagements You Can Expect to Work On: Data Privacy Program and Framework Development (GDPR etc.) Data Protection Maturity and Compliance Assessments Data Protection Officer (DPO) Support Services Regulatory Readiness & Audits (e.g., DSA, DMA, EU AI Act) Data Management, Strategy and Governance Framework Implementation AI Strategy Development and Readiness Assessments AI Governance Framework Implementation and Ethical AI Reviews Engagements You May Support On: Technology and Application Strategy Development IT and Cloud Effectiveness Assessments IT Resilience (BCM and IT DR) Assessments Technology Business Case Creation Vendor and Product Selection Support Technology Transformation Project Management Support IT Due Diligence (Buy-side and Sell-side) The Person We seek a high-performing, motivated individual with a genuine passion for the intersection of data and digital transformation. You should possess strong analytical skills, the ability to ask insightful questions, understand complex client challenges, and provide tailored, impactful recommendations. This role offers a unique opportunity to gain broad exposure across our four service pillars (Data Privacy, Data Optimisation, AI Advisory, and Digital Advisory), fostering significant professional development. The ideal candidate is keen to contribute to developing our thought leadership, methodologies, and service offerings, collaborating effectively within cross-functional teams. We provide comprehensive support through coaching, on-the-job training, and assistance in attaining valuable industry certifications to accelerate your career. Skills, Knowledge, and Experience: Essential Experience: Minimum 2 years' experience in a Professional Services firm or comparable environment, delivering advisory services related to data privacy and data governance. Experience in AI Strategy and Governance is desirable. Data Expertise: Strong understanding of core data privacy principles and key regulations (especially EU and UK GDPR, familiarity with others like CCPA, LGPD and PDPL beneficial). Good grasp of data governance frameworks and data lifecycle management. Demonstrable interest and foundational knowledge of AI/Machine Learning concepts, AI governance principles, and ethical AI considerations. Awareness of emerging AI regulations. Consulting Skills: Excellent analytical and problem-solving abilities. Strong written and verbal communication skills, with the ability to articulate complex concepts clearly to diverse audiences. Proven relationship management skills. Capable of managing multiple tasks and working effectively on concurrent engagements. High attention to detail and excellent organisational/time management skills. Personal Attributes: Proactive approach to self-development and continuous learning. Collaborative team player with high emotional intelligence. Adaptable to blended working environments (in-person, remote) and willing to travel for client needs. Strong alignment with our firm's values: respect, diversity, and integrity. Advantageous Certifications: Possession of or working towards relevant industry certifications is highly desirable. Examples include: CDMP, ADGP, CIPP/E, CIPM, CIPT, AIGP, ISO 27701 Lead Auditor/Implementer, AWS Certified Cloud Practitioner, Azure Fundamentals (AZ-900), Google Cloud Certified - Associate Cloud Engineer, PRINCE2 Foundation, Certified ScrumMaster (CSM), CRISC, ITIL Foundation. Training and Progression You will develop deep expertise in Data & Digital Advisory domains and enhance your business acumen through direct client work. The experience gained provides a comprehensive understanding of how diverse businesses operate and manage their data and digital landscapes. As part of a dynamic and growing team, you will have significant opportunities for career progression, supported by dedicated mentoring and performance management to keep your aspirations on track. Diversity, Equity & Inclusion At Forvis Mazars diversity, equity and inclusion are central to our values. We value our people's unique backgrounds, perspectives, and experience, and know this diversity create better outcomes for our clients. We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith. We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential. At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters.
Mar 11, 2026
Full time
Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. The Team The Data & Digital Advisory team is a key part of our larger Technology and Digital Consulting practice comprising over 100 technologists. We specialise in providing expert advice and guidance across a range of domain areas, with a primary focus on data protection, data governance, Artificial Intelligence (AI) strategy and governance, technology strategy and transaction IT due diligence. We collaborate closely with clients to understand their unique data and digital opportunities and challenges, delivering tailored, actionable advice. Our support encompasses assessing, building, and managing data and digital capabilities. This includes identifying and mitigating data, AI, and IT risks; selecting vendors to maximise solution value; managing projects for tangible results; establishing robust data governance; ensuring regulatory compliance (including data privacy and AI regulations); and harnessing the potential of emerging technologies like AI. The Role Joining as a Senior Consultant within the Data & Digital Advisory team, you will play a crucial role in delivering a diverse portfolio of services to our clients, contributing significantly to both project execution and our team's growth. This role offers a unique opportunity to gain broad experience across interconnected data and digital domains. Key Responsibilities: Client Engagement Delivery: Actively participate in client-facing engagements, contributing to the delivery of high-quality work products and deliverables across our service portfolio. Analysis & Recommendations: Support the analysis of client environments and challenges, developing insightful recommendations aligned with their strategic objectives, communicated clearly and concisely. Stakeholder Management: Effectively collaborate with diverse stakeholders, including client personnel (from operational to senior levels) and internal colleagues across Forvis Mazars. Domain Expertise Application: Demonstrate and apply a solid understanding across our advisory domains, particularly Data Protection & Data Governance. An understanding and experience in working with AI Regulation and in AI Governance. Foundational knowledge of digital domains such as Enterprise Architecture, Cloud, Technology Due Diligence, and how these translate into relevant, industry-leading practices and integrated solutions. Reporting & Communication: Assist in coordinating engagement findings, producing well-structured written reports, and supporting the delivery of compelling presentations to senior stakeholders. Adaptable Delivery: Flex delivery style appropriately between strategic advisory engagements and risk-focused assurance projects delivered via internal audit channels. Innovation & Market Awareness: Contribute to identifying and understanding emerging technology trends, particularly in data and AI, and support the integration of innovative approaches into our service offerings. Engagements You Can Expect to Work On: Data Privacy Program and Framework Development (GDPR etc.) Data Protection Maturity and Compliance Assessments Data Protection Officer (DPO) Support Services Regulatory Readiness & Audits (e.g., DSA, DMA, EU AI Act) Data Management, Strategy and Governance Framework Implementation AI Strategy Development and Readiness Assessments AI Governance Framework Implementation and Ethical AI Reviews Engagements You May Support On: Technology and Application Strategy Development IT and Cloud Effectiveness Assessments IT Resilience (BCM and IT DR) Assessments Technology Business Case Creation Vendor and Product Selection Support Technology Transformation Project Management Support IT Due Diligence (Buy-side and Sell-side) The Person We seek a high-performing, motivated individual with a genuine passion for the intersection of data and digital transformation. You should possess strong analytical skills, the ability to ask insightful questions, understand complex client challenges, and provide tailored, impactful recommendations. This role offers a unique opportunity to gain broad exposure across our four service pillars (Data Privacy, Data Optimisation, AI Advisory, and Digital Advisory), fostering significant professional development. The ideal candidate is keen to contribute to developing our thought leadership, methodologies, and service offerings, collaborating effectively within cross-functional teams. We provide comprehensive support through coaching, on-the-job training, and assistance in attaining valuable industry certifications to accelerate your career. Skills, Knowledge, and Experience: Essential Experience: Minimum 2 years' experience in a Professional Services firm or comparable environment, delivering advisory services related to data privacy and data governance. Experience in AI Strategy and Governance is desirable. Data Expertise: Strong understanding of core data privacy principles and key regulations (especially EU and UK GDPR, familiarity with others like CCPA, LGPD and PDPL beneficial). Good grasp of data governance frameworks and data lifecycle management. Demonstrable interest and foundational knowledge of AI/Machine Learning concepts, AI governance principles, and ethical AI considerations. Awareness of emerging AI regulations. Consulting Skills: Excellent analytical and problem-solving abilities. Strong written and verbal communication skills, with the ability to articulate complex concepts clearly to diverse audiences. Proven relationship management skills. Capable of managing multiple tasks and working effectively on concurrent engagements. High attention to detail and excellent organisational/time management skills. Personal Attributes: Proactive approach to self-development and continuous learning. Collaborative team player with high emotional intelligence. Adaptable to blended working environments (in-person, remote) and willing to travel for client needs. Strong alignment with our firm's values: respect, diversity, and integrity. Advantageous Certifications: Possession of or working towards relevant industry certifications is highly desirable. Examples include: CDMP, ADGP, CIPP/E, CIPM, CIPT, AIGP, ISO 27701 Lead Auditor/Implementer, AWS Certified Cloud Practitioner, Azure Fundamentals (AZ-900), Google Cloud Certified - Associate Cloud Engineer, PRINCE2 Foundation, Certified ScrumMaster (CSM), CRISC, ITIL Foundation. Training and Progression You will develop deep expertise in Data & Digital Advisory domains and enhance your business acumen through direct client work. The experience gained provides a comprehensive understanding of how diverse businesses operate and manage their data and digital landscapes. As part of a dynamic and growing team, you will have significant opportunities for career progression, supported by dedicated mentoring and performance management to keep your aspirations on track. Diversity, Equity & Inclusion At Forvis Mazars diversity, equity and inclusion are central to our values. We value our people's unique backgrounds, perspectives, and experience, and know this diversity create better outcomes for our clients. We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith. We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential. At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters.
Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We've evolved Fanatical Support to encompass the entire customer journey - providing Fanatical Experience from first consultation to daily operations. Our passionate experts combine the power of proactive, always on service and expertise with best in class tools and automation to deliver technology when and how our customers need it. We are seeking a highly accomplished Solution Director (Analytics & Al/ML) to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). This is a presales role that demands cross functional experience with proven ability to engage C level stakeholders, drive top of funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence. Responsibilities Strategic Leadership & Opportunity Development • Drive top of funnel opportunity creation through two parallel tracks: engaging C level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations. • Lead the design and architecture of dual solution portfolios: Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions. Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS. • Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization. • Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios. • Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics). • Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns. • Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas. Customer Engagement & Solution Delivery • Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts. • Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art of the possible sessions. Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS native), migration planning. • Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps. • Develop proposals that balance innovative AI capabilities with foundational data platform requirements. Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse). • Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs. Technical Excellence & Market Awareness Maintain deep expertise across both solution domains: 1) Generative AI: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases. 2) Data Platforms: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake. • Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery). • Guide architectural decisions on build vs. buy for both AI capabilities and data platform components. Required Experience Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations. Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments. A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager's discretion, additional relevant experience may substitute for the degree requirement. A minimum of 15 years of enterprise solution architecture experience. A minimum of 8 years of public cloud experience. A minimum of 5 years as a senior level architect or solutions leader with hands on experience in both AI/ML and data platform modernization. Proven Presales/Sales Engineering experience. Demonstrated success in engaging C level executives using generative AI demonstrations while delivering complex data platform transformations. Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine tuning. Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality. Proficiency in Python, SQL, and Spark with hands on experience in: Generative AI: LangChain, vector databases, embedding models. Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools. A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences. Preferred Qualifications An advanced degree (Master's or PhD) in a relevant field. Experience with AWS professional services or AWS partner ecosystem across both AI and data domains. Multiple Lakehouse platforms: Databricks, Snowflake, AWS native (Glue + Athena + Redshift). Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI. Industry certifications: AWS - Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty. Platform specific - Databricks Certified, Snowflake SnowPro. Experience with regulated industries requiring governance for both AI and data platforms. Track record building practices that deliver both generative AI solutions and data modernization programs. Published thought leadership in generative AI applications and/or modern data architectures.
Mar 11, 2026
Full time
Rackspace Technology is a leading provider of expertise and managed services across all the major public and private cloud technologies. We've evolved Fanatical Support to encompass the entire customer journey - providing Fanatical Experience from first consultation to daily operations. Our passionate experts combine the power of proactive, always on service and expertise with best in class tools and automation to deliver technology when and how our customers need it. We are seeking a highly accomplished Solution Director (Analytics & Al/ML) to lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). This is a presales role that demands cross functional experience with proven ability to engage C level stakeholders, drive top of funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle. The ideal candidate will excel at both selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence. Responsibilities Strategic Leadership & Opportunity Development • Drive top of funnel opportunity creation through two parallel tracks: engaging C level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations. • Lead the design and architecture of dual solution portfolios: Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions. Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS. • Act as the trusted advisor, positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization. • Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios. • Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics). • Contribute to Rackspace's intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns. • Mentor and provide leadership to Solution Architects by guiding technical development and fostering skill growth across both generative AI and data modernization solution areas. Customer Engagement & Solution Delivery • Serve as the primary technical lead orchestrating both generative AI discussions and data modernization programs for strategic accounts. • Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art of the possible sessions. Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS native), migration planning. • Lead comprehensive consultative engagements that begin with generative AI vision (Amazon Q, Bedrock) and translate into concrete data modernization roadmaps. • Develop proposals that balance innovative AI capabilities with foundational data platform requirements. Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse). • Collaborate with sales teams to position both solution portfolios strategically based on customer maturity and needs. Technical Excellence & Market Awareness Maintain deep expertise across both solution domains: 1) Generative AI: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases. 2) Data Platforms: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake. • Position AWS solutions effectively against other cloud platforms' offerings in both generative AI (Azure OpenAI, Vertex AI) and data platforms (Azure Synapse, BigQuery). • Guide architectural decisions on build vs. buy for both AI capabilities and data platform components. Required Experience Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations. Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments. A bachelor's degree in computer science, Data Science, Engineering, Mathematics, or a related technical field is required. At the manager's discretion, additional relevant experience may substitute for the degree requirement. A minimum of 15 years of enterprise solution architecture experience. A minimum of 8 years of public cloud experience. A minimum of 5 years as a senior level architect or solutions leader with hands on experience in both AI/ML and data platform modernization. Proven Presales/Sales Engineering experience. Demonstrated success in engaging C level executives using generative AI demonstrations while delivering complex data platform transformations. Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine tuning. Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality. Proficiency in Python, SQL, and Spark with hands on experience in: Generative AI: LangChain, vector databases, embedding models. Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools. A proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences. Preferred Qualifications An advanced degree (Master's or PhD) in a relevant field. Experience with AWS professional services or AWS partner ecosystem across both AI and data domains. Multiple Lakehouse platforms: Databricks, Snowflake, AWS native (Glue + Athena + Redshift). Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI. Industry certifications: AWS - Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty. Platform specific - Databricks Certified, Snowflake SnowPro. Experience with regulated industries requiring governance for both AI and data platforms. Track record building practices that deliver both generative AI solutions and data modernization programs. Published thought leadership in generative AI applications and/or modern data architectures.
IT Infrastructure Engineer - Hybrid Cloud Location: Abingdon (Hybrid: 3 days on-site, 2 remote) Start: ASAP IR35: Outside Clearance: SC Our client is looking for an IT Infrastructure Engineer to join their Computing Division. You will deliver secure, resilient and high-performing hybrid cloud solutions while working with architects, engineers and project teams. Key Responsibilities: Design, implement and maintain IT infrastructure including Windows Server, Hyper-V, Active Directory and networking. Develop hybrid solutions integrating on-premises systems with Microsoft Azure. Use infrastructure-as-code tools such as PowerShell and Terraform and automation tools such as Ansible. Monitor and optimise system performance, availability and resilience and manage backups and disaster recovery. Implement security controls and ensure compliance with standards such as NIST, ISO 27001 and CAF. Produce documentation, runbooks and training materials and provide guidance to junior team members. Work closely with stakeholders to deliver reliable and innovative IT services. Requirements: Experience in IT infrastructure engineering, hybrid cloud and Azure environments. Hands-on expertise with virtualisation, networking and Windows Server administration. Strong knowledge of security, compliance and operational best practice. Experience with infrastructure-as-code and automation frameworks. SC clearance and ability to work on-site in Abingdon. Apply with an up to date version of your CV for immediate consideration.
Mar 11, 2026
Contractor
IT Infrastructure Engineer - Hybrid Cloud Location: Abingdon (Hybrid: 3 days on-site, 2 remote) Start: ASAP IR35: Outside Clearance: SC Our client is looking for an IT Infrastructure Engineer to join their Computing Division. You will deliver secure, resilient and high-performing hybrid cloud solutions while working with architects, engineers and project teams. Key Responsibilities: Design, implement and maintain IT infrastructure including Windows Server, Hyper-V, Active Directory and networking. Develop hybrid solutions integrating on-premises systems with Microsoft Azure. Use infrastructure-as-code tools such as PowerShell and Terraform and automation tools such as Ansible. Monitor and optimise system performance, availability and resilience and manage backups and disaster recovery. Implement security controls and ensure compliance with standards such as NIST, ISO 27001 and CAF. Produce documentation, runbooks and training materials and provide guidance to junior team members. Work closely with stakeholders to deliver reliable and innovative IT services. Requirements: Experience in IT infrastructure engineering, hybrid cloud and Azure environments. Hands-on expertise with virtualisation, networking and Windows Server administration. Strong knowledge of security, compliance and operational best practice. Experience with infrastructure-as-code and automation frameworks. SC clearance and ability to work on-site in Abingdon. Apply with an up to date version of your CV for immediate consideration.
Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details
Mar 11, 2026
Full time
Interested in training and evaluating large-scale LLMs (>200B) in a frontier research team focused on AI impact in high-stakes domains? Thomson Reuters Foundational Research gives you the opportunity to research & publish on a wide range of topics in AI research while gaining experience working at in a data- & compute-rich environment focused on solving real world economically impactful problems. You will join a collaborative team that values intellectual curiosity, innovative thinking, and combines the strengths of industrial resources with an academic mindset focused on advancing science. About the Role We are seeking PhD Research Scientist Interns with flexible starting dates throughout the year in our London, Toronto & Zug locations. During your internship, you will focus on publishing high-quality research in top venues for Machine Learning & NLP while advancing our internal model development. We also value our deep academic connections, are open to involving academic advisors & collaborators. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for interns who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, ) Post training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self reflection & critique, CoT & Reasoning, RAG, ) Data centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data mixtures, ) Evaluation (Benchmark design, Red teaming/Adversarial Testing, Hallucination detection & Factuality, Human in the loop testing, ) We work collaboratively with academic partners at world leading research institutions (such as our joint academic lab with Imperial College London) and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state of the art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing, and evaluation of trained models. As a Research Scientist Intern, you will work alongside and learn from a diverse global team of experts. We hire world leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters is known for consistently delivering successful data driven ML solutions in pursuit of academic excellence and support of high growth products that serve Thomson Reuters customers in new and exciting ways. The internship duration at Thomson Reuters Labs is typically 4 to 6 months and may be aligned with one or two academic semesters or depending upon your availability. Responsibilities Innovate: You will have the opportunity to innovate and create new state of the art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real world challenges using a wealth of data. Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About You You're a fit for the role if your background includes: PhD student or recent graduate with research experience in a relevant discipline. Publications in top tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well founded algorithmic solutions to relevant problems. Preferred Qualifications Experience working on at least one relevant state of the art research topic (see our focus areas) in large language models (LLMs). Influential first author publications top tier venues. Impactful open source contributions. Strong software and/or infrastructure engineering skills with supporting evidence. Experience training large scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On the job coaching, mentorship and learning from a world leading researcher as well as the opportunity to work with cutting edge methods and technologies. Plenty of data, compute, and high impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TB of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation: The opportunity to earn while learning new skills. Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real world solutions. Our Grow My Way programming and skills first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award winning reputation for inclusion and belonging, flexibility, work life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. Equal Employment Opportunity As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented . click apply for full job details
Energy Trading - Principal Software Engineer London About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are seeking an exceptional Principal Software Engineer to lead delivery of exciting engagements within our Energy & Commodities Trading sector. This role demands a unique combination of hands on technical excellence and deep domain expertise in trading environments. You will architect and implement critical solutions that power real time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe to toe with senior engineering stakeholders in fast paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with high performance data architectures, real time streaming, APIs, etc and drive technical decision making across complex, multi system trading environments Lead the development of near real time and intraday solutions pipelines supporting trading operations across multiple asset classes Architect solutions which are able to integrate market data feeds, position management systems, market fundamentals, P&L Risk and Back Office solutions. Establish software engineering best practices and coding standards for trading applications, upskilling more junior members of our delivery teams Partner with client CTOs, Heads of Data, and Engineering Leads to align technical delivery with trading objectives and roadmaps and design and implement scalable AI and data solutions for leading trading organisations. Lead Front, Middle or Back Office transformation projects through to production delivery Act as the point of contact for all technical matters related to our engagements, owning the relationship with our client stakeholders alongside our Client Director Support industry thought leadership and Indicium AI's GTM proposition based on your experience of the sector and our work to date Navigate the nuances of physical and financial trading flows, data latency constraints, reliability and regulatory obligations Technical Expertise This is a hands on role requiring deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low latency, high throughput data systems with microsecond level performance requirements Cloud Platforms: Hands on experience with AWS and or Azure, including managed services for data processing and storage Databases: Deep knowledge of both transactional (PostgreSQL, SQL Server) and analytical databases (ClickHouse, MongoDB, etc.), with particular emphasis on time series data. Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Mar 11, 2026
Full time
Energy Trading - Principal Software Engineer London About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are seeking an exceptional Principal Software Engineer to lead delivery of exciting engagements within our Energy & Commodities Trading sector. This role demands a unique combination of hands on technical excellence and deep domain expertise in trading environments. You will architect and implement critical solutions that power real time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe to toe with senior engineering stakeholders in fast paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with high performance data architectures, real time streaming, APIs, etc and drive technical decision making across complex, multi system trading environments Lead the development of near real time and intraday solutions pipelines supporting trading operations across multiple asset classes Architect solutions which are able to integrate market data feeds, position management systems, market fundamentals, P&L Risk and Back Office solutions. Establish software engineering best practices and coding standards for trading applications, upskilling more junior members of our delivery teams Partner with client CTOs, Heads of Data, and Engineering Leads to align technical delivery with trading objectives and roadmaps and design and implement scalable AI and data solutions for leading trading organisations. Lead Front, Middle or Back Office transformation projects through to production delivery Act as the point of contact for all technical matters related to our engagements, owning the relationship with our client stakeholders alongside our Client Director Support industry thought leadership and Indicium AI's GTM proposition based on your experience of the sector and our work to date Navigate the nuances of physical and financial trading flows, data latency constraints, reliability and regulatory obligations Technical Expertise This is a hands on role requiring deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low latency, high throughput data systems with microsecond level performance requirements Cloud Platforms: Hands on experience with AWS and or Azure, including managed services for data processing and storage Databases: Deep knowledge of both transactional (PostgreSQL, SQL Server) and analytical databases (ClickHouse, MongoDB, etc.), with particular emphasis on time series data. Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
The work you will be doing The Lead Dev Ops Engineer is accountable for the Azure platform, infrastructure-as-code (IaC) and the delivery system (CI/CD standards, templates and controls) that enables Birketts squads to deliver to Azure quickly, safely and consistently. You will establish and maintain the "one right way" of working for Azure environments: guardrails, governance, repeatability and operational readiness. You will work closely with Product development leadership, security and infrastructure stakeholders to ensure standards are adopted through tooling (Azure Policy and Azure DevOps), not documentation alone. Platform ownership, governance and control Own subscription and landing zone hygiene, including remediation of legacy resources outside the agreed model Define and enforce platform governance standards: naming conventions, tagging schema, Azure Policy baseline and controlled exception handling Define and maintain identity and access patterns (RBAC and, where applicable, PIM) and platform security guardrails in collaboration with security and relevant stakeholders Improve platform cost governance by ensuring ownership and tagging discipline supports accurate reporting and accountability Infrastructure as Code (IaC) standards and integrity Establish and maintain Terraform as the authoritative mechanism for platform and environment provisioning and change control Design and maintain reusable IaC modules/patterns; implement safe change practices (review, validation, controlled applies) Reduce drift and improve environment repeatability across dev/QA/prod Delivery system (CI/CD) ownership and standardisation Define and evolve delivery system standards in partnership with the Product Development Team Leader, and enforce them through Azure DevOps templates, policies and required checks Own and improve Azure DevOps CI/CD standards, pipeline templates, approvals/gates, and environment promotion model Provide "golden path" templates and patterns for application-level and data-level delivery (including Azure resources) so squads can deliver without bespoke pipeline design per product Embed automated quality controls and security scanning into pipelines (e.g., SAST/SCA) and define secure secret-handling patterns aligned to Birketts expectations Implement and enforce PR/branch policies and release controls to reduce variability and operational risk Platform observability and operational readiness Provide and evolve platform observability foundations: monitoring, logging, metrics, dashboards and alerting (using the agreed toolset) Define and improve incident response and operational readiness expectations (runbooks, escalation paths, recovery/rollback patterns, environment health checks) Establish and maintain DR and operational processes for the platform and environments, with clear escalation to development squads where required Ways of working, coaching and continuous improvement Maintain a visible platform backlog and roadmap (stabilisation, governance, standardisation, developer experience) Coach squads in using the delivery system effectively (templates, PR discipline, gated releases, environment promotion) Support capability building for internal engineers (including infrastructure engineers where willing) using pairing and staged responsibility ("gated autonomy") Create and maintain platform documentation: handbook, onboarding guides, decision records and runbooks to reduce key-person dependency Assess DevOps capacity and resilience needs over time and provide recommendations for scaling the function as workload/support requirements mature Please note that this job profile is not an exhaustive list of duties but merely an outline of the key components of the role. You may be required by your line manager to take on additional responsibilities when requested. What we are looking for A candidate who has owned or led DevOps / platform engineering capability in Azure and can balance delivery speed with governance and risk control Enjoys creating standards and guardrails that enable teams rather than slow them down Can operate effectively in an environment with mixed maturity, coaching teams while maintaining safe operational practices Essential Knowledge & Experience Proven, hands-on experience designing, deploying and operating Azure infrastructure (subscriptions, governance, identity/access, and core platform services) Strong Infrastructure-as-Code experience, ideally Terraform (module/pattern design, environment patterns, safe change practices) Strong CI/CD engineering experience, ideally Azure DevOps (templating, approvals/gates, environment promotion strategies, required checks) Working understanding of security practices in cloud delivery (least privilege/IAM, secrets handling, secure pipeline patterns) Practical understanding of observability and operational readiness (logs/metrics/tracing concepts; dashboards/alerts; runbooks) Strong communication skills and ability to explain standards/guardrails in business-impact terms Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home and office working. This role attracts a split of 60% office days and 40% working from home days per week. Benefits As a Birkett colleague, you will be eligible to receive a wide range of benefits: 25 days holiday (FTE) plus Bank Holidays Long Service holiday award - 1 extra week every 10 years continuous service Private Healthcare with BUPA (offered after probation is passed) Scottish Widows Pension Scheme (5% employer / 5% Employee) Staff Profit Share and Individual Performance Bonus Scheme Salary sacrifice (Pensions, Staff Profit Share) Life Assurance - 4 x salary / Permanent Health Insurance Paid CSR Day Enhanced Maternity/Paternity Leave Subsidised gym membership Electric car scheme Dress for your Day Policy
Mar 11, 2026
Full time
The work you will be doing The Lead Dev Ops Engineer is accountable for the Azure platform, infrastructure-as-code (IaC) and the delivery system (CI/CD standards, templates and controls) that enables Birketts squads to deliver to Azure quickly, safely and consistently. You will establish and maintain the "one right way" of working for Azure environments: guardrails, governance, repeatability and operational readiness. You will work closely with Product development leadership, security and infrastructure stakeholders to ensure standards are adopted through tooling (Azure Policy and Azure DevOps), not documentation alone. Platform ownership, governance and control Own subscription and landing zone hygiene, including remediation of legacy resources outside the agreed model Define and enforce platform governance standards: naming conventions, tagging schema, Azure Policy baseline and controlled exception handling Define and maintain identity and access patterns (RBAC and, where applicable, PIM) and platform security guardrails in collaboration with security and relevant stakeholders Improve platform cost governance by ensuring ownership and tagging discipline supports accurate reporting and accountability Infrastructure as Code (IaC) standards and integrity Establish and maintain Terraform as the authoritative mechanism for platform and environment provisioning and change control Design and maintain reusable IaC modules/patterns; implement safe change practices (review, validation, controlled applies) Reduce drift and improve environment repeatability across dev/QA/prod Delivery system (CI/CD) ownership and standardisation Define and evolve delivery system standards in partnership with the Product Development Team Leader, and enforce them through Azure DevOps templates, policies and required checks Own and improve Azure DevOps CI/CD standards, pipeline templates, approvals/gates, and environment promotion model Provide "golden path" templates and patterns for application-level and data-level delivery (including Azure resources) so squads can deliver without bespoke pipeline design per product Embed automated quality controls and security scanning into pipelines (e.g., SAST/SCA) and define secure secret-handling patterns aligned to Birketts expectations Implement and enforce PR/branch policies and release controls to reduce variability and operational risk Platform observability and operational readiness Provide and evolve platform observability foundations: monitoring, logging, metrics, dashboards and alerting (using the agreed toolset) Define and improve incident response and operational readiness expectations (runbooks, escalation paths, recovery/rollback patterns, environment health checks) Establish and maintain DR and operational processes for the platform and environments, with clear escalation to development squads where required Ways of working, coaching and continuous improvement Maintain a visible platform backlog and roadmap (stabilisation, governance, standardisation, developer experience) Coach squads in using the delivery system effectively (templates, PR discipline, gated releases, environment promotion) Support capability building for internal engineers (including infrastructure engineers where willing) using pairing and staged responsibility ("gated autonomy") Create and maintain platform documentation: handbook, onboarding guides, decision records and runbooks to reduce key-person dependency Assess DevOps capacity and resilience needs over time and provide recommendations for scaling the function as workload/support requirements mature Please note that this job profile is not an exhaustive list of duties but merely an outline of the key components of the role. You may be required by your line manager to take on additional responsibilities when requested. What we are looking for A candidate who has owned or led DevOps / platform engineering capability in Azure and can balance delivery speed with governance and risk control Enjoys creating standards and guardrails that enable teams rather than slow them down Can operate effectively in an environment with mixed maturity, coaching teams while maintaining safe operational practices Essential Knowledge & Experience Proven, hands-on experience designing, deploying and operating Azure infrastructure (subscriptions, governance, identity/access, and core platform services) Strong Infrastructure-as-Code experience, ideally Terraform (module/pattern design, environment patterns, safe change practices) Strong CI/CD engineering experience, ideally Azure DevOps (templating, approvals/gates, environment promotion strategies, required checks) Working understanding of security practices in cloud delivery (least privilege/IAM, secrets handling, secure pipeline patterns) Practical understanding of observability and operational readiness (logs/metrics/tracing concepts; dashboards/alerts; runbooks) Strong communication skills and ability to explain standards/guardrails in business-impact terms Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home and office working. This role attracts a split of 60% office days and 40% working from home days per week. Benefits As a Birkett colleague, you will be eligible to receive a wide range of benefits: 25 days holiday (FTE) plus Bank Holidays Long Service holiday award - 1 extra week every 10 years continuous service Private Healthcare with BUPA (offered after probation is passed) Scottish Widows Pension Scheme (5% employer / 5% Employee) Staff Profit Share and Individual Performance Bonus Scheme Salary sacrifice (Pensions, Staff Profit Share) Life Assurance - 4 x salary / Permanent Health Insurance Paid CSR Day Enhanced Maternity/Paternity Leave Subsidised gym membership Electric car scheme Dress for your Day Policy
AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development
Mar 11, 2026
Full time
AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development
We're looking for a AWS Infrastructure Engineer to join us on a 12 month Fixed Term Basis. IT is a busy department and technology plays a key part in enabling the Trust to deliver on its strategic objectives. Our vision is to equip the Trust with the technology we all need to do our jobs confidently. Working collaboratively with all areas of the Trust, we focus on delivering the Trust's priority information services at pace, focusing on the needs of our people and supporters. We are continuously improving and securing Trust information services and take great pride in what we do. Please note the advertised salary is inclusive of a £10,000k reviewable market supplement. Your base salary will be £50,000 and you will receive the market supplement as an allowance on top, taking the total pay to £60,000. Internally this role is known as Senior Web Ops Engineer. hat it's like to work here We work collaboratively across the Trust to deliver high-impact digital solutions at pace, always keeping the needs of our people and supporters at the centre of what we do. Our team is committed to continuous improvement, innovation, and the security of our digital services. We take great pride in the difference we make every day. Your contractual location will be our head office in Swindon and there will be an expectation for you to attend the office. However, there is flexibility on where you are based at other times. You will be required to work at a National Trust location for 40-60% of your working week. This will be discussed in more detail at interview. What you'll be doing Behind everything our Supporters see online, from our public websites and mobile application, is the Amazon Web Services (AWS) infrastructure delivered by the Digital Web Operations team. With a passion for automation, Infrastructure as Code (IaaC), resiliency and security at its heart, the team are responsible for deploying, managing and optimising servers, databases, services and applications across a range of environments from development to production. We understand the big picture of how our systems relate to each other, facing and overcoming a broad spectrum of challenges using a breadth of tools and approaches. A culture of curiosity, problem solving, openness and pride in what we deliver is key to our success. Our team brings together people with a variety of backgrounds, experiences and perspectives. We encourage ourselves and others to collaborate, to think big and strive to create an environment that supports not only our team members but the wider organisation too. Who we're looking for Applications from National Trust redeployees are assessed against the minimum criteria for the role. In your application, please provide details of how you meet the minimum criteria below: Experience of IT Operations, ideally both Web Operations and Dev Ops; release and deployment management, operational support (ITIL- incident, change management and problem), and monitoring of services. Experience in delivering, implementing, and administrating solutions utilising a variety of cloud infrastructure (AWS & Azure). Commercial off the shelf (COTS) and open source packages. Knowledge and experiencing of information security, GDPR, control and threat mitigation. Problem solving ability to debug complex distributed applications, services and databases. Strong track record of teamwork, collaborative working, communications and stakeholder management. A knowledge and interest in technology delivery and how this enables the Trust's core purpose and strategy. Additional criteria for all other applications: A knowledge and interest in technology delivery and how this enables the Trust's core purpose and strategy. The package The National Trust has the motto 'For everyone, for ever' at its heart. We're working hard to create an inclusive culture, where everyone feels they belong. It's important that our people reflect and represent the diversity of the communities and audiences we serve. We welcome and value difference, so when we say we're for everyone, we want everyone to be welcome in our teams too. Substantial pension scheme of up to 10% basic salary Free entry to National Trust places for you, a guest and your children (under 18) Rental deposit loan scheme Season ticket loan EV car lease scheme (for roles that meet the salary criteria) Perks at work discounts such as gym memberships, shopping discount codes, cinema discounts Holiday allowance up to 32 days relating to length of service, plus holiday purchase scheme, subject to meeting minimum criteria. Flexible working whenever possible Employee assistance programme Free parking at most Trust places
Mar 10, 2026
Full time
We're looking for a AWS Infrastructure Engineer to join us on a 12 month Fixed Term Basis. IT is a busy department and technology plays a key part in enabling the Trust to deliver on its strategic objectives. Our vision is to equip the Trust with the technology we all need to do our jobs confidently. Working collaboratively with all areas of the Trust, we focus on delivering the Trust's priority information services at pace, focusing on the needs of our people and supporters. We are continuously improving and securing Trust information services and take great pride in what we do. Please note the advertised salary is inclusive of a £10,000k reviewable market supplement. Your base salary will be £50,000 and you will receive the market supplement as an allowance on top, taking the total pay to £60,000. Internally this role is known as Senior Web Ops Engineer. hat it's like to work here We work collaboratively across the Trust to deliver high-impact digital solutions at pace, always keeping the needs of our people and supporters at the centre of what we do. Our team is committed to continuous improvement, innovation, and the security of our digital services. We take great pride in the difference we make every day. Your contractual location will be our head office in Swindon and there will be an expectation for you to attend the office. However, there is flexibility on where you are based at other times. You will be required to work at a National Trust location for 40-60% of your working week. This will be discussed in more detail at interview. What you'll be doing Behind everything our Supporters see online, from our public websites and mobile application, is the Amazon Web Services (AWS) infrastructure delivered by the Digital Web Operations team. With a passion for automation, Infrastructure as Code (IaaC), resiliency and security at its heart, the team are responsible for deploying, managing and optimising servers, databases, services and applications across a range of environments from development to production. We understand the big picture of how our systems relate to each other, facing and overcoming a broad spectrum of challenges using a breadth of tools and approaches. A culture of curiosity, problem solving, openness and pride in what we deliver is key to our success. Our team brings together people with a variety of backgrounds, experiences and perspectives. We encourage ourselves and others to collaborate, to think big and strive to create an environment that supports not only our team members but the wider organisation too. Who we're looking for Applications from National Trust redeployees are assessed against the minimum criteria for the role. In your application, please provide details of how you meet the minimum criteria below: Experience of IT Operations, ideally both Web Operations and Dev Ops; release and deployment management, operational support (ITIL- incident, change management and problem), and monitoring of services. Experience in delivering, implementing, and administrating solutions utilising a variety of cloud infrastructure (AWS & Azure). Commercial off the shelf (COTS) and open source packages. Knowledge and experiencing of information security, GDPR, control and threat mitigation. Problem solving ability to debug complex distributed applications, services and databases. Strong track record of teamwork, collaborative working, communications and stakeholder management. A knowledge and interest in technology delivery and how this enables the Trust's core purpose and strategy. Additional criteria for all other applications: A knowledge and interest in technology delivery and how this enables the Trust's core purpose and strategy. The package The National Trust has the motto 'For everyone, for ever' at its heart. We're working hard to create an inclusive culture, where everyone feels they belong. It's important that our people reflect and represent the diversity of the communities and audiences we serve. We welcome and value difference, so when we say we're for everyone, we want everyone to be welcome in our teams too. Substantial pension scheme of up to 10% basic salary Free entry to National Trust places for you, a guest and your children (under 18) Rental deposit loan scheme Season ticket loan EV car lease scheme (for roles that meet the salary criteria) Perks at work discounts such as gym memberships, shopping discount codes, cinema discounts Holiday allowance up to 32 days relating to length of service, plus holiday purchase scheme, subject to meeting minimum criteria. Flexible working whenever possible Employee assistance programme Free parking at most Trust places
Contract Data Engineer - Azure / Databricks Location: London (2 days onsite) Rate: 550- 600 per day (Inside IR35) Contract: 6 months A leading UK financial institution is seeking an experienced Data Engineer to support the development and enhancement of a modern cloud-based data platform. This role will focus on building scalable data pipelines and supporting the evolution of a cloud-first data architecture. Key Responsibilities Design and develop scalable data pipelines using modern cloud technologies. Build and optimise distributed data processing solutions using Databricks, Spark and Python . Develop and maintain data integration workflows using Azure Data Factory . Work with large datasets stored in Azure Data Lake environments. Collaborate with architects, analysts and engineering teams to deliver reliable and secure data solutions. Contribute to improving data quality, performance and operational monitoring across the platform. Key Skills & Experience Strong experience with Azure Databricks, Azure Data Factory and Azure Data Lake . Advanced Python, SQL and Spark (PySpark) development experience. Experience building and optimising ETL / data pipelines in cloud environments. Knowledge of CI/CD and version control (Azure DevOps, GitHub or similar). Experience working with large-scale distributed data processing systems. Contract Details 6-month initial contract 550- 600 per day (Inside IR35) Hybrid working: 2 days per week onsite in London If you're an experienced Data Engineer with strong Azure and Databricks expertise and are available for a new contract, please apply or get in touch to discuss further.
Mar 10, 2026
Contractor
Contract Data Engineer - Azure / Databricks Location: London (2 days onsite) Rate: 550- 600 per day (Inside IR35) Contract: 6 months A leading UK financial institution is seeking an experienced Data Engineer to support the development and enhancement of a modern cloud-based data platform. This role will focus on building scalable data pipelines and supporting the evolution of a cloud-first data architecture. Key Responsibilities Design and develop scalable data pipelines using modern cloud technologies. Build and optimise distributed data processing solutions using Databricks, Spark and Python . Develop and maintain data integration workflows using Azure Data Factory . Work with large datasets stored in Azure Data Lake environments. Collaborate with architects, analysts and engineering teams to deliver reliable and secure data solutions. Contribute to improving data quality, performance and operational monitoring across the platform. Key Skills & Experience Strong experience with Azure Databricks, Azure Data Factory and Azure Data Lake . Advanced Python, SQL and Spark (PySpark) development experience. Experience building and optimising ETL / data pipelines in cloud environments. Knowledge of CI/CD and version control (Azure DevOps, GitHub or similar). Experience working with large-scale distributed data processing systems. Contract Details 6-month initial contract 550- 600 per day (Inside IR35) Hybrid working: 2 days per week onsite in London If you're an experienced Data Engineer with strong Azure and Databricks expertise and are available for a new contract, please apply or get in touch to discuss further.
Hays Specialist Recruitment Limited
Newcastle Upon Tyne, Tyne And Wear
2 x INFRASTRUCTURE DEVOPS & CLOUD ENGINEERS 12 MONTH CONTRACTS HYBRID WORKING - NEWCASTLE - 2 DAYS ON SITE NON-NEGOTIABLE £500.00 - £550.00 PER DAY (INSIDE IR35) Your new role We are looking for 2 x Level 3 Infrastructure DevOps & Cloud Engineers to join the organisation's existing Team on a long-term contract. The ideal Contractors will provide broad expertise across Microsoft Technologies and Cloud Platforms - specifically AZURE. Excellent communication skills are essential and a solid background in Windows Server Administration is also key as it forms part of the on-premise infrastructure. What you'll need to succeed Candidates wishing to apply must be able to demonstrate extensive experience in the following: - Experience of delivering and supporting Cloud & Infrastructure solutions across AZURE and On-Premise environments- Level 3 support for Windows Server- Previous involvement in the design, delivery and documentation of Cloud solutions- Worked with ITIL processes- Strong MS AZURE knowledge and background (Virtual Networking / Operating Systems / Security)- Cloud Architecture & Governance - Azure Framework- Azure Back-up / Recovery Services- Experience of Terraform- Outstanding troubleshooting capabilities across platform layers. What you'll get in return There are 2 x 12 Month Contracts available - both on a HYBRID basis, with the requirement of 2 days in the Newcastle Office. The day rates on offer are between £500.00 to £550.00 per day (INSIDE IR35)If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Mar 10, 2026
Full time
2 x INFRASTRUCTURE DEVOPS & CLOUD ENGINEERS 12 MONTH CONTRACTS HYBRID WORKING - NEWCASTLE - 2 DAYS ON SITE NON-NEGOTIABLE £500.00 - £550.00 PER DAY (INSIDE IR35) Your new role We are looking for 2 x Level 3 Infrastructure DevOps & Cloud Engineers to join the organisation's existing Team on a long-term contract. The ideal Contractors will provide broad expertise across Microsoft Technologies and Cloud Platforms - specifically AZURE. Excellent communication skills are essential and a solid background in Windows Server Administration is also key as it forms part of the on-premise infrastructure. What you'll need to succeed Candidates wishing to apply must be able to demonstrate extensive experience in the following: - Experience of delivering and supporting Cloud & Infrastructure solutions across AZURE and On-Premise environments- Level 3 support for Windows Server- Previous involvement in the design, delivery and documentation of Cloud solutions- Worked with ITIL processes- Strong MS AZURE knowledge and background (Virtual Networking / Operating Systems / Security)- Cloud Architecture & Governance - Azure Framework- Azure Back-up / Recovery Services- Experience of Terraform- Outstanding troubleshooting capabilities across platform layers. What you'll get in return There are 2 x 12 Month Contracts available - both on a HYBRID basis, with the requirement of 2 days in the Newcastle Office. The day rates on offer are between £500.00 to £550.00 per day (INSIDE IR35)If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Overview At the heart of Paxton, we are innovators, harnessing new technology to provide better solutions for our customers. We are a global brand with nearly 40 years of experience, and a team of over 400 employees spread around the world. We pride ourselves on a vibrant environment with a focus on excellent company culture, career progression, training and development, and recognition of achievement for every employee. What are the benefits? We run a great social calendar with wine tasting, cooking classes, onsite yoga, staff parties, monthly internal events and more. It's rare you won't see something going on! Hybrid working, work from home on Tuesday and Thursdays alongside our flexible working hours scheme. Private medical insurance (Opt in) and healthcare cash-back plan with Health Shield. Join a Carbon Neutral company - Paxton is Carbon Neutral in the UK, France, Germany & South Africa! Modern offices, collaboration spaces, onsite mini-gym, and a gourmet café with subsidised food. Discounted fitness memberships up to 75% off in your area with GymFlex. Collaborative internal group initiatives like the Green Team, EDI Team, or the Charity Team. Tech, bike, and travel or season ticket loans. 25-days holiday plus bank holidays, and you can buy & sell up to 5 days a year. Recognised as one of the Best Companies to Work for in the UK, by Best Companies. About the role Join our Development team in Brighton where you'll lead and support the software team in designing, implementing, and maintaining high-quality software solutions for Paxton's product portfolio, ensuring technical integrity across user interfaces, back-end API services, mobile apps, and cloud services. Champion module design and feasibility plans, ensuring successful implementation across new and existing product ranges. Collaborate with other teams to identify dependencies, mitigate risks, and recommend solutions. Provide clear technical updates and articulate proposals to project and management teams. Mentor and support team members, communicating technical changes and impacts. Review requirements, specifications, and designs to assure product quality. Enhance tools and workflows, recommending improvements. Push technology boundaries to deliver innovative solutions. Investigate and resolve software defects promptly. Coordinate and deploy new builds for release candidates. Ensure effective development testing, including Unit, Integration, Performance, Stress, and Automation Testing. Contribute to decisions on overall software architecture. Champion the code review process and ensure timely feedback resolution. Build strong relationships with engineers, providing direction and support. What are we looking for? Proven experience in software development, including test-driven and behaviour-driven design methodologies. Strong knowledge of C#, .NET, Web API, and advanced front-end and back-end technologies. Comprehensive understanding of software design patterns and SOLID principles. Experience working with Azure or equivalent cloud services. Excellent team player with strong communication, mentoring, and leadership skills. The right attitude is more important to us than your skills or experience. If you're excited about a role but your existing experience doesn't match up with every element of the job description, we encourage you to apply anyway. We want to collaborate with you and hear your ideas, most of all, we want people to enjoy the journey with us. Take a look at what our team thinks of working here.
Mar 10, 2026
Full time
Overview At the heart of Paxton, we are innovators, harnessing new technology to provide better solutions for our customers. We are a global brand with nearly 40 years of experience, and a team of over 400 employees spread around the world. We pride ourselves on a vibrant environment with a focus on excellent company culture, career progression, training and development, and recognition of achievement for every employee. What are the benefits? We run a great social calendar with wine tasting, cooking classes, onsite yoga, staff parties, monthly internal events and more. It's rare you won't see something going on! Hybrid working, work from home on Tuesday and Thursdays alongside our flexible working hours scheme. Private medical insurance (Opt in) and healthcare cash-back plan with Health Shield. Join a Carbon Neutral company - Paxton is Carbon Neutral in the UK, France, Germany & South Africa! Modern offices, collaboration spaces, onsite mini-gym, and a gourmet café with subsidised food. Discounted fitness memberships up to 75% off in your area with GymFlex. Collaborative internal group initiatives like the Green Team, EDI Team, or the Charity Team. Tech, bike, and travel or season ticket loans. 25-days holiday plus bank holidays, and you can buy & sell up to 5 days a year. Recognised as one of the Best Companies to Work for in the UK, by Best Companies. About the role Join our Development team in Brighton where you'll lead and support the software team in designing, implementing, and maintaining high-quality software solutions for Paxton's product portfolio, ensuring technical integrity across user interfaces, back-end API services, mobile apps, and cloud services. Champion module design and feasibility plans, ensuring successful implementation across new and existing product ranges. Collaborate with other teams to identify dependencies, mitigate risks, and recommend solutions. Provide clear technical updates and articulate proposals to project and management teams. Mentor and support team members, communicating technical changes and impacts. Review requirements, specifications, and designs to assure product quality. Enhance tools and workflows, recommending improvements. Push technology boundaries to deliver innovative solutions. Investigate and resolve software defects promptly. Coordinate and deploy new builds for release candidates. Ensure effective development testing, including Unit, Integration, Performance, Stress, and Automation Testing. Contribute to decisions on overall software architecture. Champion the code review process and ensure timely feedback resolution. Build strong relationships with engineers, providing direction and support. What are we looking for? Proven experience in software development, including test-driven and behaviour-driven design methodologies. Strong knowledge of C#, .NET, Web API, and advanced front-end and back-end technologies. Comprehensive understanding of software design patterns and SOLID principles. Experience working with Azure or equivalent cloud services. Excellent team player with strong communication, mentoring, and leadership skills. The right attitude is more important to us than your skills or experience. If you're excited about a role but your existing experience doesn't match up with every element of the job description, we encourage you to apply anyway. We want to collaborate with you and hear your ideas, most of all, we want people to enjoy the journey with us. Take a look at what our team thinks of working here.
Overview Graduate Technology Roles - Software Development, QA Testing, DevOps & other opportunities (via the Graduate Development Programme) Location: North West, UK Application Requirements Right to work in the UK unsponsored for the duration of the programme Ability to work on site, five days per week Some roles require a high level of security clearance. For these, applicants must have been based in the UK for the last five years as a minimum Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas. Why Grayce? Grayce specialises in delivering change and transformation for some of the UK's most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high performing early career talent across major programmes of work. Our Accelerated Development Programme offers a structured, fast track route into industry. You will gain hands on experience with leading organisations while developing professional skills, earning industry recognised qualifications, and receiving dedicated coaching and mentoring throughout your journey. About Our Opportunities Grayce is seeking motivated graduates to join our Graduate Development Programme and begin their careers in technology. We are recruiting across a range of roles and are looking for individuals who demonstrate curiosity, adaptability, strong communication skills and a structured, analytical approach to problem solving. At Grayce, you will be supported by expert coaching and structured development while working with some of the UK's most respected organisations - from FTSE 100 and FTSE 250 companies to global technology leaders. You will join a team focused on continuous learning, collaboration and delivering measurable impact. Software Development Support the design, development and maintenance of enterprise level applications, contributing to feature development, engineering tasks and defect resolution. QA Testing Support software quality assurance through test preparation, execution, documentation and remediation activities, with opportunities to progress into automation or performance testing. DevOps Assist in the deployment, monitoring and optimisation of software systems, supporting automation, environment configuration, performance monitoring and operational improvements. Information Security Contribute to protecting systems and data by supporting security monitoring, incident response, vulnerability assessment and policy or control implementation. Service Desk / Service Management Provide first line technical support by triaging incidents, resolving service requests, escalating issues appropriately and supporting efficient IT service operations. What Makes a Great Grayce Analyst Academic Background Technical Skills (advantageous) An interest in building capability in areas such as: Programming languages including Java, Python or similar Test automation, BDD practices and tools such as Cucumber Performance testing concepts Cloud platforms (e.g., AWS, Azure or similar) Infrastructure as code principles and basic scripting CI/CD concepts, version control and deployment practices Microservices and containerisation concepts Agile delivery methodologies and tools such as Jira and Confluence Professional Skills Strong communication, structured thinking, stakeholder engagement, organisation and a commitment to continuous learning. Why Work for Us? Hands on experience working full time onsite with leading organisations, supported by accredited training and industry aligned development. Delivery You will typically work with one client during your time at Grayce, delivering high quality outcomes in a structured, professional environment. Dedicated coaching and support throughout your placement and development journey. Progression Completion of a minimum of six industry recognised accreditations, with clear pathways for progression and salary growth. 24/7 access to our Employee Assistance Programme, offering confidential financial, legal, health and wellbeing support. Notes The following content appears to be related to application submission, form fields and status messages and is not part of the role description. It has been omitted to keep the focus on the job content.
Mar 08, 2026
Full time
Overview Graduate Technology Roles - Software Development, QA Testing, DevOps & other opportunities (via the Graduate Development Programme) Location: North West, UK Application Requirements Right to work in the UK unsponsored for the duration of the programme Ability to work on site, five days per week Some roles require a high level of security clearance. For these, applicants must have been based in the UK for the last five years as a minimum Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas. Why Grayce? Grayce specialises in delivering change and transformation for some of the UK's most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high performing early career talent across major programmes of work. Our Accelerated Development Programme offers a structured, fast track route into industry. You will gain hands on experience with leading organisations while developing professional skills, earning industry recognised qualifications, and receiving dedicated coaching and mentoring throughout your journey. About Our Opportunities Grayce is seeking motivated graduates to join our Graduate Development Programme and begin their careers in technology. We are recruiting across a range of roles and are looking for individuals who demonstrate curiosity, adaptability, strong communication skills and a structured, analytical approach to problem solving. At Grayce, you will be supported by expert coaching and structured development while working with some of the UK's most respected organisations - from FTSE 100 and FTSE 250 companies to global technology leaders. You will join a team focused on continuous learning, collaboration and delivering measurable impact. Software Development Support the design, development and maintenance of enterprise level applications, contributing to feature development, engineering tasks and defect resolution. QA Testing Support software quality assurance through test preparation, execution, documentation and remediation activities, with opportunities to progress into automation or performance testing. DevOps Assist in the deployment, monitoring and optimisation of software systems, supporting automation, environment configuration, performance monitoring and operational improvements. Information Security Contribute to protecting systems and data by supporting security monitoring, incident response, vulnerability assessment and policy or control implementation. Service Desk / Service Management Provide first line technical support by triaging incidents, resolving service requests, escalating issues appropriately and supporting efficient IT service operations. What Makes a Great Grayce Analyst Academic Background Technical Skills (advantageous) An interest in building capability in areas such as: Programming languages including Java, Python or similar Test automation, BDD practices and tools such as Cucumber Performance testing concepts Cloud platforms (e.g., AWS, Azure or similar) Infrastructure as code principles and basic scripting CI/CD concepts, version control and deployment practices Microservices and containerisation concepts Agile delivery methodologies and tools such as Jira and Confluence Professional Skills Strong communication, structured thinking, stakeholder engagement, organisation and a commitment to continuous learning. Why Work for Us? Hands on experience working full time onsite with leading organisations, supported by accredited training and industry aligned development. Delivery You will typically work with one client during your time at Grayce, delivering high quality outcomes in a structured, professional environment. Dedicated coaching and support throughout your placement and development journey. Progression Completion of a minimum of six industry recognised accreditations, with clear pathways for progression and salary growth. 24/7 access to our Employee Assistance Programme, offering confidential financial, legal, health and wellbeing support. Notes The following content appears to be related to application submission, form fields and status messages and is not part of the role description. It has been omitted to keep the focus on the job content.
Role: Solutions Architect Hybrid: 3 days in Office / 2 days home / Client Visits Location: South East Salary/Package: £50k - £65K + Bonuses + Benefits 25 Days Holiday and rising (plus bank holidays) Bupa Cash Plan Discounted Gym Membership Cycle Scheme Electric Vehicle Scheme Ability to Buy & Sell Holiday Paid Charity Day Flexible working (WFH incentives) Free Car Parking Company Our Client is one of the UK's leading technology specialists, proudly recognised as a World Class Place to Work by Best Companies, a nationally respected benchmark for employee engagement and workplace excellence. They are also ranked as the Technology Company to Work For in the UK, reflecting their culture, their people, and their commitment to being an employer of choice. As a privately owned business they continue to achieve year on year growth, anchored by their expertise in IT security, cloud, and managed services. They have earned multiple industry awards showcasing their our reputation for technical excellence and innovation. They believe in working hard and celebrating success equally. Their people are at the heart of everything they do- they invest in their development, support progression from within, and consistently go above and beyond to create an environment where individuals can thrive both professionally and personally. Primary Purpose Our Client IT is looking for a talented and ambitious Solutions Engineer to join our high-performing Solutions Engineering team. Reporting directly to the Head of Solutions Engineering, you will play a key role in supporting our customers and sales organisation by designing, articulating, and validating technical solutions across a broad range of technologies. In this client-facing role, you will work closely with the sales team to attend customer meetings, understand business challenges, and help shape solutions that deliver measurable value. You will be responsible for delivering technical pre-sales support, producing proposals and solution designs, and providing clear, confident technical guidance throughout the sales cycle. You will also contribute to product demonstrations, workshops, and webinars-helping to showcase the clients expertise and differentiate our services in the market. Collaboration is central to this role: you will work alongside technical specialists, project teams, and account managers to ensure solutions are accurate, scalable, and aligned with best practice. The ideal candidate brings hands-on consultancy or pre-sales experience across technologies such as firewalls, network security, Microsoft 365, Microsoft Azure, servers, storage, backup, networking, and disaster recovery/business continuity. This is an exciting opportunity for someone who is both technically strong and commercially aware, and who enjoys working directly with customers to solve real business problems. Key Responsibilities Deliver both chargeable and free-of-charge Technical Pre-Sales Services to new and existing customers. Build strong technical relationships with prospects and existing clients, acting as a trusted adviser throughout engagements. Support the Sales Team by providing customer-facing technical expertise during meetings, discovery sessions, and opportunity qualification. Deliver clear and engaging product presentations and demonstrations, and support internal and external customer-facing events and webinars. Design and deliver custom demonstrations and Proofs of Concept (POCs) to validate proposed solutions. Evaluate and compare competitive products to recommend the most advantageous solution for each customer. Contribute to the specification of technical solutions and assist in producing high-quality proposals, scopes of work, and tender responses. Skills and Expertise Requirements Technical consultancy, pre-sales, or customer-facing project delivery experience within an MSP or IT reseller (essential). Proven experience across IT infrastructure and IT services technologies. Strong proposal and tender-writing skills, with the ability to produce high-quality customer-facing documentation. Formal technical qualifications in one or more of the following: Cisco, Fortinet, VMware, Sophos, Microsoft, N-Able, Mimecast, Barracuda, or similar industry-recognised certifications desirable. Strong commercial acumen with the ability to balance technical depth and business value. Excellent presentation and demonstration skills. Exceptional organisational and time-management capabilities. Strong listening skills with the ability to understand and translate customer requirements. Ability to explain and present technical solutions clearly to both technical and non-technical audiences. Excellent relationship-building skills with a natural affinity for working alongside both sales and technical teams. Based in the UK and willing to travel as required. Full, clean UK driving licence. INDIT Planet Recruitment acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Planet Recruitment is an Equal Opportunities Employer. By applying for this role your details will be submitted to Planet Recruitment. Our Candidate Privacy Information Statement explains how we will use your information. Only candidates with the relevant skills and experience will be contacted after application, if you do not hear back from us within 7 days you have unfortunately been unsuccessful in your application. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the position.
Mar 08, 2026
Full time
Role: Solutions Architect Hybrid: 3 days in Office / 2 days home / Client Visits Location: South East Salary/Package: £50k - £65K + Bonuses + Benefits 25 Days Holiday and rising (plus bank holidays) Bupa Cash Plan Discounted Gym Membership Cycle Scheme Electric Vehicle Scheme Ability to Buy & Sell Holiday Paid Charity Day Flexible working (WFH incentives) Free Car Parking Company Our Client is one of the UK's leading technology specialists, proudly recognised as a World Class Place to Work by Best Companies, a nationally respected benchmark for employee engagement and workplace excellence. They are also ranked as the Technology Company to Work For in the UK, reflecting their culture, their people, and their commitment to being an employer of choice. As a privately owned business they continue to achieve year on year growth, anchored by their expertise in IT security, cloud, and managed services. They have earned multiple industry awards showcasing their our reputation for technical excellence and innovation. They believe in working hard and celebrating success equally. Their people are at the heart of everything they do- they invest in their development, support progression from within, and consistently go above and beyond to create an environment where individuals can thrive both professionally and personally. Primary Purpose Our Client IT is looking for a talented and ambitious Solutions Engineer to join our high-performing Solutions Engineering team. Reporting directly to the Head of Solutions Engineering, you will play a key role in supporting our customers and sales organisation by designing, articulating, and validating technical solutions across a broad range of technologies. In this client-facing role, you will work closely with the sales team to attend customer meetings, understand business challenges, and help shape solutions that deliver measurable value. You will be responsible for delivering technical pre-sales support, producing proposals and solution designs, and providing clear, confident technical guidance throughout the sales cycle. You will also contribute to product demonstrations, workshops, and webinars-helping to showcase the clients expertise and differentiate our services in the market. Collaboration is central to this role: you will work alongside technical specialists, project teams, and account managers to ensure solutions are accurate, scalable, and aligned with best practice. The ideal candidate brings hands-on consultancy or pre-sales experience across technologies such as firewalls, network security, Microsoft 365, Microsoft Azure, servers, storage, backup, networking, and disaster recovery/business continuity. This is an exciting opportunity for someone who is both technically strong and commercially aware, and who enjoys working directly with customers to solve real business problems. Key Responsibilities Deliver both chargeable and free-of-charge Technical Pre-Sales Services to new and existing customers. Build strong technical relationships with prospects and existing clients, acting as a trusted adviser throughout engagements. Support the Sales Team by providing customer-facing technical expertise during meetings, discovery sessions, and opportunity qualification. Deliver clear and engaging product presentations and demonstrations, and support internal and external customer-facing events and webinars. Design and deliver custom demonstrations and Proofs of Concept (POCs) to validate proposed solutions. Evaluate and compare competitive products to recommend the most advantageous solution for each customer. Contribute to the specification of technical solutions and assist in producing high-quality proposals, scopes of work, and tender responses. Skills and Expertise Requirements Technical consultancy, pre-sales, or customer-facing project delivery experience within an MSP or IT reseller (essential). Proven experience across IT infrastructure and IT services technologies. Strong proposal and tender-writing skills, with the ability to produce high-quality customer-facing documentation. Formal technical qualifications in one or more of the following: Cisco, Fortinet, VMware, Sophos, Microsoft, N-Able, Mimecast, Barracuda, or similar industry-recognised certifications desirable. Strong commercial acumen with the ability to balance technical depth and business value. Excellent presentation and demonstration skills. Exceptional organisational and time-management capabilities. Strong listening skills with the ability to understand and translate customer requirements. Ability to explain and present technical solutions clearly to both technical and non-technical audiences. Excellent relationship-building skills with a natural affinity for working alongside both sales and technical teams. Based in the UK and willing to travel as required. Full, clean UK driving licence. INDIT Planet Recruitment acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Planet Recruitment is an Equal Opportunities Employer. By applying for this role your details will be submitted to Planet Recruitment. Our Candidate Privacy Information Statement explains how we will use your information. Only candidates with the relevant skills and experience will be contacted after application, if you do not hear back from us within 7 days you have unfortunately been unsuccessful in your application. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the position.
A leading technology company is seeking a Chief Architect in the UK to provide technical leadership for client solutions in the public sector. You will mentor teams and ensure successful project delivery while dealing with cloud-native architectures and AI. This role offers career progression opportunities up to IBM Distinguished Engineer. Ideal candidates will have experience with AWS or Azure and a deep understanding of public sector standards.
Mar 08, 2026
Full time
A leading technology company is seeking a Chief Architect in the UK to provide technical leadership for client solutions in the public sector. You will mentor teams and ensure successful project delivery while dealing with cloud-native architectures and AI. This role offers career progression opportunities up to IBM Distinguished Engineer. Ideal candidates will have experience with AWS or Azure and a deep understanding of public sector standards.
