463 jobs found

Data & Integration's Lead (Azure) I am recruiting for a rapidly growing, multi-site healthcare organisation in the middle of a major digital transformation. As their Data & Business Intelligence function continues to expand, they require a hands-on Data & Integration's Lead / Manager to take ownership of the Azure migration and enterprise integration strategy. This is a delivery-focused leadership role, working as the number two to the Director of Data & BI. You will own the day-to-day data engineering and integration's landscape, helping to shape modern cloud architecture while mentoring a small but capable team. You'll be joining at a pivotal point as the business migrates from GCP to Azure, modernises its data platform, and connects a complex ecosystem of finance, HR, and core operational systems. The role comes with strong visibility across the business and regular interaction with senior leadership, including the CFO. The Role Lead the development and maintenance of enterprise data and integration platforms Design, build, and manage Azure data pipelines using Data Factory, Data Lake, and SQL Own API and system-to-system integrations using Logic Apps, Function Apps, and related tools Oversee data governance, quality, and documentation Mentor a small Data & BI engineering team (currently 3 people) Partner closely with Finance, HR, Operations, and senior stakeholders Work with external MSPs and vendors to ensure best-practice delivery Technology & Experience Essential: Strong hands-on experience with the Azure data platform Proven experience delivering API and enterprise system integrations ETL/ELT pipelines, data modelling, and data warehousing Understanding of how data feeds into Power BI and analytics platforms Desirable: GCP exposure (to support migration) iPaaS platforms such as Boomi, MuleSoft, or Informatica Multi-site sector experience (healthcare, retail, hospitality, etc.) Package & Working Pattern Salary: £70,000 to £80,000 doe (flexible for standout candidates) Hybrid working: Basingstoke, 2 days a MONTH onsite. Two-stage interview process (online followed by on-site with Head of Data & CFO) If you're looking for a role where you can own data integration and play a key part in a major cloud transformation, apply now or get in touch for a confidential discussion. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ

Join Barclays as a Mainframe DB2 System Specialist, where you'll install, configure, and maintain the IBM DB2 system to ensure strong performance and reliability. You'll play a key role in enhancing the Mainframe Automation environment, streamlining manual processes through automation to reduce risk and increase efficiency. We're seeking candidates with hands-on mainframe installation experience, ideally involving IBM DB2 system tools or similar mainframe technologies. To be successful in this role, you will need the following: Proven experience in the installation, maintenance, and upgrade of IBM DB2 and related tools (e.g., DB2 CA, DB2 Connect, Data Studio, etc.). Strong working knowledge of mainframe operating system tools, including TSO, JCL, REXX, SQL, and others. Several years of hands-on experience as a DB2 Systems Programmer. Solid understanding of system performance, optimisation, and monitoring techniques. Other highly valued skills include: Experience with DevOps tooling, such as VS Code, Db2 Developer Extensions, and similar technologies. Knowledge of z/OSMF. Familiarity with Broadcom and IBM Db2 tools. Understanding of Db2 internals and RACF security. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The successful candidate can be based in Knutsford (Radbroke Hall) or Glasgow Campus. Purpose of the role To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. Accountabilities Build Engineering: Development, delivery, and maintenance of high-quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements. Incident Management: Monitoring of IT infrastructure and system performance to measure, identify, address, and resolve any potential issues, vulnerabilities, or outages. Use of data to drive down mean time to resolution. Automation: Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines. Security: Implementation of a secure configuration and measures to protect infrastructure against cyber-attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access. Teamwork: Cross-functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach. Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Assistant Vice President Expectations Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. Identify new directions for assignments and/or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc.) to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join us as a MongoDB Engineer at Barclays where you'll effectively monitor and maintain the bank's critical technology infrastructure and resolve more multi-faceted technical issues, whilst minimizing disruption to operations. In this role you will apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them. To be successful as a MongoDB Engineer, you should have: Experience in Ansible for database server configurations Experience in devops automation tools such as git, JIRA and database CI/CD tools A good working knowledge of coaching SRE practices across large organisation or multifaceted teams A working knowledge of MongoDB Some other highly valued skills may include: Practical experience of containers and Kubernetes Experience with scripting languages (e.g. python, bash) for automation / migration tasks You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills This role will be based in our Knutsford or Glasgow location. Purpose of the role To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. Accountabilities Build Engineering: Development, delivery, and maintenance of high-quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements. Incident Management: Monitoring of IT infrastructure and system performance to measure, identify, address, and resolve any potential issues, vulnerabilities, or outages. Use of data to drive down mean time to resolution. Automation: Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines. Security: Implementation of a secure configuration and measures to protect infrastructure against cyber-attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access. Teamwork: Cross-functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach. Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Us as an AVP AI Platform Engineer - Shape the Future of AI at Barclays. We're excited to launch a groundbreaking initiative at Barclays - building a next-generation platform that empowers front-office developers (Quants and Strats) to create high-performance, AI-driven applications. As an AVP AI Platform Engineer, you'll be involved in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments. This is a hands-on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You'll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services. To be successful as an AVP AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Demonstrated capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Us as an AVP AI Platform Engineer - Shape the Future of AI at Barclays. We're excited to launch a groundbreaking initiative at Barclays - building a next-generation platform that empowers front-office developers (Quants and Strats) to create high-performance, AI-driven applications. As an AVP AI Platform Engineer, you'll be involved in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments. This is a hands-on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You'll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services. To be successful as an AVP AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Demonstrated capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Role: Google Cloud Architect Location: London or ManchesterCareer Level: Manager Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Our Team Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Join us and help build what matters. We are seeking a Google Cloud Architect to join the Accenture Google Business Group (AGBG) within Accenture Technology in the UK, specifically focused on our UK public sector clients. You'll be part of a team that engineers and implements the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. As a Google Cloud Architect, you will: Lead the technical architecture and delivery of Google Cloud solutions for public sector clients Design, deploy, and operate secure Google Cloud solutions both on client sites and internal reference implementations Provide technical guidance and mentorship to small teams ensuring successful project delivery Leverage your deep knowledge of Google Cloud architecture and engineering to deliver enterprise grade solutions

Python Data Engineer - Multi-Strategy Hedge Fund Location: London Hybrid: 2 days per week on-site Type: Full-time About the Role A leading multi-strategy hedge fund is seeking a highly skilled Python Data Engineer to join its technology and data team. This is a hands-on role focused on building and optimising data infrastructure that powers quantitative research, trading strategies, and risk management. Key Responsibilities Develop and maintain scalable Python-based ETL pipelines for ingesting and transforming market data from multiple sources. Design and manage cloud-based data lake solutions (AWS, Databricks) for large volumes of structured and unstructured data. Implement rigorous data quality, validation, and cleansing routines to ensure accuracy of financial time-series data. Optimize workflows for low latency and high throughput, critical for trading and research. Collaborate with portfolio managers, quantitative researchers, and traders to deliver tailored data solutions for modeling and strategy development. Contribute to the design and implementation of the firm's security master database. Analyse datasets to extract actionable insights for trading and risk management. Document system architecture, data flows, and technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development. Hands-on experience with AWS services (S3, Glue, Lambda) and Databricks. Solid understanding of financial market data, particularly time-series. Knowledge of data quality frameworks and performance optimisation techniques. Degree in Computer Science, Engineering, or related field. Preferred Skills SQL and relational database design experience. Exposure to quantitative finance or trading environments. Familiarity with containerisation and orchestration (Docker, Kubernetes). What We Offer Competitive compensation and performance-based bonus. Hybrid working model: 2 days per week on-site in London. Opportunity to work on mission-critical data systems for a global hedge fund. Collaborative, high-performance culture with direct exposure to front-office teams To Avoid Disappointment, Apply Now! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

Head of Product Operations and Support A leading global provider of new generation IT solutions to the global Travel, Transportation and Logistics industries is looking for a Head of Product Operations and Support. The role reports to the Chief Customer Officer. The Head of Product Operations and Support is a key leadership role responsible for establishing, managing, and scaling high-performing global support and operations functions. The role entails defining operational strategies, fostering service delivery excellence, driving support automation and ensuring a superior customer experience across all products and services that support mission-critical business operations in the aviation, cruise and hospitality industries worldwide. While the IT Operations team under the CTO manages 24x7 cloud infrastructure operations, this is a complimentary role focused on application-related support. Currently, Product Operations and Support functions operate within individual product lines. This role is part of an effort to consolidate these into a centralized function. The consolidated team will be responsible for all application-layer support activities, including platform-related issues, production incident management, performance monitoring, L2/L3 issue resolution and end-user ticket handling. Key Responsibilities: Support Strategy and Operations Setup - Design the global support operations framework, covering incident management, service request handling, L2/L3 models and escalation handling. - Establish and manage a 24x7 global support structure including regional support teams, tools, processes and SLAs. - Define operating models for product support, including interfaces with Cloud Operations, Product, Engineering, Delivery and Customer Success teams. - Drive operational efficiency in all dimensions - consolidation of activities, usage of tools, new models based on AI. People and Process Leadership - Build and lead a high-performing team of support managers, operations analysts and technical specialists. - Define and institutionalize SOPs, playbooks, onboarding frameworks, shift models and knowledge management systems. - Drive operational excellence using ITIL or equivalent service management frameworks. Customer Experience and Escalation Management - Ensure responsive and technically sound support experience for all customer segments. - Serve as a senior escalation point for critical issues impacting customer business, both internally and externally. - Work closely with Customer Success to track and improve CSAT, NPS and incident resolution metrics. Tools, Automation & Data - Lead evaluation and implementation of support platforms (e.g., ServiceNow, Jira Service Desk). - Implement monitoring, alerting and proactive issue detection systems to reduce reactive support. - Drive automation of repeatable processes to reduce MTTR (mean time to resolution) and increase efficiency. Governance, Reporting & Stakeholder Communication - Develop governance frameworks including service performance reviews, RCA tracking and compliance reporting. - Own operational dashboards, SLA/KPI reporting and executive-level updates. - Work cross-functionally with Cloud Operations, Product, Engineering, and Delivery to ensure timely feedback loops and resolution. Continuous Improvement and Innovation - Identify operational gaps and drive continuous improvement programs. - Introduce the best practices from SaaS/enterprise product support and global operations. - Stay current with industry trends in support automation, self-service and AI-driven support models. Mandatory Requirements: - 15+ years of experience in leading support/operations roles in enterprise SaaS or technology environments. - Familiarity with cloud-based environments (AWS) and observability platforms. - Background in managing support across hybrid or multi-tenant platforms. - Proven experience in building and scaling global support teams and operational processes. - Expertise in support tooling, incident/problem/change management and SLA/KPI frameworks. - Strong customer focus with a deep understanding of service delivery in a mission-critical business context. - Operational efficiency improvement through usage of tools including AI driven models - Exceptional leadership, communication and stakeholder management skills. Desirable Skills: - Exposure to the aviation, logistics or travel technology sectors. - Certifications in ITIL, PMP, or equivalent service and project management methodologies. - Experience in DevOps/SRE environments with close coordination with engineering and QA. Practicalities: - Flexible Location. - Competitive Package. - International travel required.

Our client is a leading B2B provider of telecoms and IT solutions, delivering innovative connectivity, infrastructure, and managed services to businesses across the UK. They are currently on the lookout for a Project Manager to lead the delivery of complex telecoms and IT projects for their business clients. This company are in the office 5 days a week, you need to drive for this option they are not near enough to any public stops but loads of parking You'll be responsible for managing timelines, budgets, resources, and stakeholder expectations to ensure successful outcomes across infrastructure deployments, system integrations, and service transitions. Lead end-to-end project delivery across multiple client engagements. Develop detailed project plans, timelines, and resource allocations. Coordinate cross-functional teams including engineering, service delivery, and account management. Manage client communications, ensuring transparency and alignment throughout the project lifecycle. Monitor project risks, issues, and dependencies, implementing mitigation strategies. Ensure projects are delivered on time, within scope, and to budget. Maintain accurate documentation and reporting for internal and client stakeholders. Support pre-sales activities by contributing to proposals and project scoping. Proven experience managing B2B telecoms or IT projects. Strong understanding of networking, cloud services, VoIP, and infrastructure solutions. Excellent stakeholder management and communication skills. Proficiency in project management tools (e.g. MS Project, Jira, Trello). Familiarity with Agile and Waterfall methodologies. Prince2, PMP, or equivalent certification preferred. Ability to manage multiple projects simultaneously in a fast-paced environment. Please make sure that your location and phone number are included in your application.

We are hiring a Senior Delivery Project & Programme Manager to establish and champion delivery discipline across our client's AI Factory. This is a senior role for someone who brings structure, transparency and control to large transformation portfolios and knows how to keep complex organisations aligned and on track.This role works closely with the Multi-Tech Agents Engineering Manager, the Senior Product Manager for Enterprise Agents, Delivery Leads and the Group Head. Contract duration - 6 months (possiblity to extend further) Location - Waterside (UB7 0GB) Hybrid - 2-3 days onsite Pay - Flexible daily rate (inside IR35) Purpose of the Role The Senior Delivery Project & Programme Manager owns delivery governance across the AI Agents portfolio. You will define and enforce standards, drive high-quality reporting, manage risk and non-conformities, and provide the single source of truth on progress and value delivery. Your work ensures consistency, predictability and accountability across engineering teams building mission-critical agentic AI products. Key Responsibilities Delivery Tracking & Portfolio Visibility Maintain a clear portfolio-level view of progress across all squads, integrating delivery data into structured reporting and dashboards. Track sprint performance, commitments, dependencies and milestones, ensuring teams operate with transparency and discipline. Identify bottlenecks early and coordinate corrective action across engineering, product and partner teams. Stakeholder Communication & Leadership Reporting Produce concise, executive-ready reporting for senior leadership, including weekly progress packs, risk summaries and value-realisation updates. Ensure delivery stories are communicated consistently across OpCos, programme teams and central functions. Build cross-functional trust through clear, structured and timely communication. Standards, Governance & Quality Control Define, maintain and enforce delivery standards across documentation, Stage Gates, change control and production readiness. Ensure compliance with governance frameworks, including risk management processes, quality gates and audit requirements. Validate that each AI Agent product meets exit criteria before advancing to the next phase. Risk, Issue & Audit Management Own the consolidated risk and issue registers, ensuring all items have clear ownership, action plans and timelines. Run structured risk review cycles and escalate critical items to leadership with clear recommendations. Ensure audit findings, noncompliance and remediation actions are tracked to closure with clear accountability. Cross-Team Alignment Drive alignment across engineering, product, cyber, cloud and OpCo teams, ensuring everyone is operating to the same plan and cadence. Support delivery leads in applying best-practice methods consistently across squads. Maintain harmonised processes and shared delivery standards across the entire AI Factory. Continuous Improvement Identify opportunities to improve delivery methods, tooling, reporting and governance. Establish feedback loops with teams to refine playbooks, standards and operating rhythms. Lead structured process improvements that enhance predictability, velocity and quality. Training & Capability Building Provide ongoing coaching and training to deliver leads on tooling, standards and governance. Embed structured work methods, analytical decision-making and transparency into day-to-day operations. Develop templates, frameworks and repeatable delivery patterns for the AI Factory. Qualifications & Experience Experience in PMO, programme management or delivery leadership roles within technology or transformation environments. Demonstrated ability to run structured governance, reporting and decision processes at scale. Proven track record delivering complex IT or transformation programmes with high stakeholder complexity. Expertise in Agile delivery frameworks (Scrum, SAFe), sprint management and tooling such as Jira and Confluence. Experience coordinating multi-team or global organisations, managing dependencies and driving alignment. Strong analytical and reporting skills, able to distil complex delivery data into clear insights. Excellent communication and influencing skills, comfortable engaging senior stakeholders. A proactive, structured and detail-oriented mindset with a focus on value, transparency and accountability. What you need to do now 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 Talent Solutions is a trading division of Hays Specialist Recruitment Limited and 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

HM Land Registry (HMLR) is undertaking one of the largest transformation programmes in government, modernising the digital systems that support over £7 trillion of property ownership. As a Data Engineer, you will support the development of HMLR's data engineering capability by helping to build and maintain reliable data pipelines and products. Your work will contribute to improving data access, quality and value across the organisation, supporting programmes that influence how HMLR manages and uses its data in the future. Salary up to £44,400, 29% employer pension contribution plus full Civil Service benefits. Flexible, hybrid working from Plymouth, Croydon or Coventry. About the role This role has come to fruition as HMLR embarks on a significant modernisation of its core services and data infrastructure. With new funding secured and a dedicated Data Engineering capability being formed for the first time, there is a crucial need to build strong, reliable data systems that can support future services and national programmes. As a Data Engineer, you'll work closely with senior data engineering colleagues and multidisciplinary teams to deliver robust data systems, complex data flows and data products for analytics and business intelligence. You'll contribute to opportunity discovery, support the development of prototypes and production-ready solutions, and help address technical problems through research and experimentation. Alongside this, you'll play an active role in improving data engineering processes and maintaining resilient, high-quality solutions in production. If you would like to find out more about the role, the Data Engineering capability and what it's like to work at HMLR, a Hiring Manager Q&A session where you can virtually 'meet the team' will be held via Teams on Tuesday, 6th of January at 12:30pm. Follow APply link to register your interest. Key Responsibilities Support the design and maintenance of data flows that connect operational systems and provide data for analytics and BI. Help re-engineer manual processes into scalable, repeatable data pipelines and write optimised ETL code. Contribute to building data streaming capabilities and creating accessible data products for analysis. Improve data quality, document data mappings, and identify opportunities to optimise data engineering processes. Work collaboratively with other teams, follow industry best practice aligned to HMLR standards, and participate in the data engineering community. Develop understanding of legacy systems, learn the basics of Land Registry operations, and maintain awareness of organisational priorities. Continue personal development to build skills and knowledge relevant to the role. Essential Skills Experience of using a unified engine for large-scale data analytics (e.g. Spark/PySpark) Experience in writing, testing and implementing scripts (e.g. Python, Scala) Experience of cloud data stack use (e.g. SageMaker Notebooks, S3, Glue, Athena) Communicating technical concepts clearly to both technical and non-technical stakeholders using appropriate language and methods. Profiling data and analysing source systems to produce clear, actionable insights. Desirable Skills Knowledge of DevOps processes: (e.g. Terraform) Knowledge of data pipeline testing (e.g. end-to-end testing, data quality testing, monitoring & alerting, unit & contract testing) Knowledge of the data lifecycle (e.g. development, analysis, modelling (e.g. IDA Infosphere Data Architect), integration, metadata management). Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days per week). Hours are flexible and condensed hours are an option. Locations available: Croydon, Coventry, Plymouth Salary Civil Service Grade: HEO Dependent upon assessment at interview your starting salary will be one of the following: Developing - £41,100 Proficient - £43,100 Accomplished - £44,400 Benefits Over 29% employer pension contribution Annual leave of 28.5 days per year plus 8 public holidays A clear progression pathway including personalised training and development plans Expensed accreditations with dedicated training days Flexi-time scheme (you decide what working hours work best for you) Opportunity to work condensed hours Social and sports clubs Access to an Employee Assistance Programme for counselling and support Interest-free season ticket loan Cycle to Work scheme (salary sacrifice) HMLR has a strong and positive culture, a commitment to inclusivity, a focus on continuous learning and development, and flexible ways of working. Further Information Application deadline: 11:55pm Thursday 8th of January 2026 Please apply with a CV that provides evidence against the essential skills. HMLR does not hold a UK Visa & Immigration (UKVI) Skilled Worker Licence and is unable to sponsor individuals for Skilled Worker sponsorship. If you are a motivated data professional who enjoys solving complex data problems, working collaboratively in agile teams and delivering reliable, high-quality data solutions, this is your chance to make a real impact. Join HM Land Registry and play a key role in shaping the data capabilities that support property ownership and public services across England and Wales.Apply now or contact Keesha in complete confidence.

Role: BI Manager Salary: £70,000 - £80,000 PA Plus Bonus and Benefits Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) We are currently working with a leading Midlands based services provider who require a technically strong Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Our client offers a good, supportive environment which is going through a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background Benefits: Achievable bonus scheme 4% Pension Life Insurance 3 x salary 25 days annual leave plus statutory - 1 x extra day every year for the first 3 years Blue Light Card Medicash - includes discounted gym memberships etc. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.

HM Land Registry (HMLR) is undertaking one of the largest transformation programmes in government, modernising the digital systems that support over £7 trillion of property ownership. As a Senior Data Engineer, you will help establish a new data engineering capability, contributing to the development of reliable data pipelines and products that improve data access, integrity and value across the organisation. Your work will support programmes that shape how HMLR manages and uses its data for years to come. Salary up to £60,800, 29% employer pension contribution plus full Civil Service benefits. Flexible, hybrid working from Plymouth, Croydon or Coventry. About the role This role has come to fruition as HMLR embarks on a significant modernisation of its core services and data infrastructure. With new funding secured and a dedicated Data Engineering capability being formed for the first time, there is a crucial need to build strong, reliable data systems that can support future services and national programmes. As a Senior Data Engineer, you'll design and deliver robust data systems, pipelines and products that support analytics and operational decision-making. Working in agile teams, you'll provide technical leadership, guide colleagues and help shape solutions across the organisation. You'll also support opportunity discovery, develop prototypes and production-ready solutions, and continually improve data engineering practices and systems in production. If you would like to find out more about the role, the Data Engineering capability and what it's like to work at HMLR, a Hiring Manager Q&A session where you can virtually 'meet the team' will be held via Teams on Tuesday, 6th of January at 12:30pm. Follow the apply link to register your interest. Key Responsibilities Identify opportunities to reuse and optimise data flows, including building streaming systems, managing databases and improving code performance. Lead the development and maintenance of data engineering solutions, advising teams as a subject matter expert and ensuring alignment with HMLR standards and approved technologies. Collaborate with senior colleagues to understand where data engineering adds value, supporting strategic and operational decision-making. Support and guide junior team members, contribute to the data engineering community and advocate for data quality, maintainability and reusable components. Continuously improve data systems and maintain awareness of best practice and emerging approaches Essential Skills Experience with large-scale analytics engines (e.g. Spark/PySpark) and scripting languages such as Python or Scala. Hands-on use of cloud data stacks (e.g. SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g. Parquet, Delta Lake, Fabric). Experience with DevOps/DataOps tooling and practices (e.g. Terraform) and testing data pipelines, including end-to-end, data quality, monitoring, unit and contract testing. Experience managing the full data lifecycle, including development, analysis, modelling, integration and metadata management. Communicating clearly with technical and non-technical stakeholders, leading discussions in multidisciplinary teams and managing differing viewpointsProfiling data, analysing source systems and creating data models that suit different organisational need Desirable Skills IBM DB2/QREP BMC Control-M Experience of Talend Data Integration (e.g. ETL build and deployment using Talend Cloud. Experience of leadership Experience of metadata management Experience of testing Location Expectation is to be working from any of the advertised locations 60% of your time across the month (typically three days per week). Hours are flexible and condensed hours are an option. Locations available: Croydon, Coventry, Plymouth Salary Civil Service Grade: SEO Dependent upon assessment at interview, your starting salary will be one of the following: Developing: £49,600 Proficient: £55,200 Accomplished: £60,800 Benefits Over 29% employer pension contribution Annual leave of 28.5 days per year plus 8 public holidays A clear progression pathway including personalised training and development plans Expensed accreditations with dedicated training days Flexi-time scheme (you decide what working hours work best for you) Opportunity to work condensed hours Social and sports clubs Access to an Employee Assistance Programme for counselling and support Interest-free season ticket loan Cycle to Work scheme (salary sacrifice) HMLR has a strong and positive culture, a commitment to inclusivity, a focus on continuous learning and development, and flexible ways of working. Further Information Application deadline: 11:55pm Thursday 8th of January 2026 Please apply with a CV that provides evidence against the essential skills. HMLR does not hold a UK Visa & Immigration (UKVI) Skilled Worker Licence and is unable to sponsor individuals for Skilled Worker sponsorship. If you are a motivated and experienced data professional who enjoys leading on complex data challenges, shaping technical approaches and working collaboratively in agile teams, this is your chance to make a significant impact. Join HM Land Registry and play a crucial role in developing and guiding the data capabilities that support property ownership and public services across England and Wales. Apply now or contact Keesha in complete confidence.

2nd Line Support Engineer - MDMAkkodis are currently working in partnership with a market leading service provider to recruit a number of 2nd Line Support Engineers to join their marketing leading team. This is an exciting opportunity to join an established team who can provided you with development and training opportunities with exposure to emerging technologies. The RoleAs a 2nd Line Support Engineer you will be responsible for supporting the mobile operating system environment. Mobile device support is delivered using cloud-based management tools (Workspace ONE, JAMF, Apple Business Manager, Android Enterprise Manager, Samsung KNOX).The Responsibilities You will oversee the configuration, and in-life support of mobile devices. This includes policy management changes, configuration management, and post-deployment support. Work closely with the 3rd line analysts, you will liaise with internal technical teams, customer stakeholders, and service management functions to ensure aligned delivery, transparency, and issue resolution throughout the mobile lifecycle. Manage incident queues and SLA's, desirable technical knowledge of mobile automation tools, and a commitment to support the end user mobile estate. The ideal candidate will have a good working background in a 2nd line support role and a working knowledge in mobile endpoint management and cloud technologies. The Requirements Security (SC Clearance) or able to achieve. Proven experience in a 2nd line support mobile endpoint engineering role Workspace ONE Unified Endpoint Manager Apple Business Manager Entra ID M365 Android Enterprise Manager Samsung KNOX iOS and Android mobile operating systems experience (configuration) Mobile Device Management through Organisation Groups If you are looking for an exciting new challenge to join a leading organisation please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

A fantastic opportunity for a Head of Engineering / Software Development Manager to join a well established software organisation undergoing a major technical evolution. This is a senior strategic role leading engineering, QA and cloud operations through a significant SaaS migration and AI enablement programme. You will drive organisational development, technical excellence and delivery maturity while guiding the modernisation of a complex product suite used at scale across two main sectors. Location: Hybrid with minimum of 2 days a week in the Milton Keynes office, UK based Salary: £85,000 - £95,000 per annum with excellent benefits and performance bonus Requirements for Head of Engineering: Strong experience leading large engineering organisations delivering enterprise SaaS products, or transforming legacy on premise or hosted products into SaaS models Proven leadership background managing engineering managers and multiple cross functional teams You will have progressed through a Software Developer career path - while this isn't a hands on role, having an incredibly strong technical understanding and knowledge of a range of technologies is very important Strong ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams and embedding quality engineering practices Understanding of SRE principles, Infrastructure as Code and cloud operations in product driven environments Excellent ability to drive collaboration across engineering, product, security, professional services and customer facing teams Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift Responsibilities for Head of Engineering: Lead and develop engineering managers and technical leads, embedding a culture of quality, innovation and customer focus Shape talent strategy, build high performing teams and create clear progression frameworks across engineering Oversee outsourced QA partnership, define quality metrics, integrate QA within agile workflows and drive continuous improvement in automation and quality engineering Lead the evolution of cloud operations into a product aligned SRE function, embedding Infrastructure as Code, reliability principles and operational excellence Partner closely with product, CTO and wider business teams to ensure delivery aligns with strategic priorities Collaborate with sales, customer experience, professional services and implementation teams to support customer transitions Embed security by design in collaboration with information security and compliance teams Provide architectural direction for SaaS migration, cloud native evolution, microservices, API design and AI engineering methodologies Guide the introduction of AI capabilities across the product suite and ensure responsible AI practices, governance and sector aligned compliance Drive platform modernisation, customer migration tooling, integration frameworks and data integrity for large scale transitions Maintain engineering standards covering code quality, documentation, testing, CI/CD, observability and security Establish metrics driven engineering practices and lead initiatives to reduce lead time, improve deployment frequency and optimise reliability Ensure compliance with ISO27001, GDPR, PCI DSS and sector specific requirements Key focus areas for the first 18 to 24 months: Deliver the engineering enablement plan across SaaS and AI objectives Oversee the technical and operational direction of the SaaS transformation Ensure smooth, reliable customer migrations with no service disruption Strengthen organisational capability through structured hiring and development Embed AI engineering maturity, infrastructure and best practice Drive improvements in deployment cadence, reliability and operational excellence What the role offers: Leadership of a high impact engineering function during a major technology transformation The opportunity to shape the future of a complex product suite used at scale Collaborative, people focused working culture with strong professional development pathways Applications: If you would like to apply for this unique Head of Engineering position, please send your CV via the relevant links. We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing app

Description At Engine by Starling we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses on our technology. Engine is Starling's software-as-a-service (SaaS) business, and is the technology that was built to power Starling. Engine was formed as a separate business in early 2024. Starling has seen exceptional growth and success, largely due to how we built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped Starling achieve success. We draw upon our experience as knowledgeable bankers, and best in class technologists, to become the chosen option for these banks and preferred partners for leading consultancies. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a hybrid approach to working at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager, but as a guide we would like to see you in an office at least once or twice per week. About Engineering at Engine by Starling Platform engineering is something we are passionate about. We pride ourselves on delivering software in a reliable, scalable, reusable and maintainable manner. Our platform is expanding and with that brings new challenges to how we deliver our SaaS. All engineers are responsible for owning features from inception, through deployment, to running in production. Using a first principles approach, we aim to break down problems and implement solutions across every stage of that lifecycle. As an Engineer at Engine, you'll be helping to build, scale and deploy our first in class cloud native banking platform to multiple cloud providers and regions globally. You will be encouraged to get involved in all areas of our platform. We value a multi-discipline approach to engineering and a culture that supports that. Some of the disciplines you will be exposed to include: Globally deployed cloud architectures Toolchain development Build and deployment systems Observability and reliability Runtime orchestration; Control and data planes SaaS API management and security Core java platform We do not expect you to have experience in all of the above - we're looking for curious individuals who like to work across multiple disciplines and see this as an opportunity to grow and learn about other areas. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from the team in our latest Blog or our case studies with Women in Tech . Requirements We're looking for an experienced Senior or Staff Infrastructure Engineer to join the Infrastructure team. You will be the technical lead of projects critical to the success of the business, and optionally be line manager of other members of the team. You will drive the team toward finding clean and simple yet scalable solutions to technical problems. The ideal candidate will have Experience architecting, delivering and maintaining multiple complex AWS based infrastructure projects from design through to production Experience with a range of AWS services and have up to date knowledge about how they interact with each other A firm understanding of security concepts such as (M)TLS, secrets management, encryption, RBAC, etc Experience of service oriented architecture with containers, distributed systems and immutable infrastructure Been a key contributor to the remediation of production impacting incidents An understanding of how to design systems and processes that can meet future scaling requirements Contributed to achieving security and compliance certification with standards such as ISO270001, SOC2 and PCI-DSS Experience in reviewing code submitted by others, and changes proposed for release to production Worked in a zero-production-access environment and be an advocate for orchestrating all change through automation Experience writing Infrastructure as Code, particularly Terraform, and automation using a scripting language such as Go Passion about building observable and reliable systems that impact the wider engineering organisation Ability to communicate clearly in a manner that is accessible to technical and non-technical Engine colleagues, and occasionally to clients You will Take on responsibility for delivering large, complex and impactful projects covering multiple engineering domains Work with stakeholders to design hybrid-cloud systems - we use AWS and also co-locate Payment HSMs in physical data centres around the world Ensure the performance and reliability of cloud environments whilst being conscious of costs Be a champion of Engine's standards and procedures throughout the rest of Technology Share knowledge with colleagues by writing technical documentation and leading training sessions Have a passion for learning new technologies, and keep up to date with industry trends Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information. You can find out more about our culture, mission and hiring on our shiny new Engineering Careers Page

Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: You will be joining our growing Commerce Engineering team, a dynamic group at the intersection of technology, client-facing strategy, and artificial intelligence. We operate as "Forward Deployed Engineers," perfectly bridging the gap between our clients' most ambitious goals and our core engineering teams. Our mission is to architect and deliver the next generation of commerce. We work on innovative projects with colleagues to drive collaboration from strategy through to implementation, using the latest technologies - with a particular focus on Generative AI - to help our clients achieve market leadership. You'll learn, grow, and advance in an innovative culture that thrives on shared success, diverse ways of thinking, and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. In our team you will learn: How to architect and build sophisticated, AI-driven solutions that solve real-world commerce challenges for leading global brands. To design and integrate Generative AI capabilities with a complex enterprise Experience Platform ecosystem (DAM, PXM, CDP, Commerce Engines, CMS, Syndication Channels, CRMs). How to translate executive-level business strategy into cutting-edge, production-grade technical applications on cloud platforms like Azure and GCP. As a Full Stack Commerce Engineer Manager, you will: Lead Client-Facing Engagements: Act as the primary technical authority in client workshops, designing use-case and platform technology solutions that use Generative AI to solve their key business challenges. Architect & Build AI-Powered Solutions: Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem: Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases: Design and implement robust database solutions, utilizing SQL and NoSQL databases and developing complex Store Procedures to handle large-scale commerce data. Drive Technical Strategy & Mentor Teams: Contribute to the technology strategy and solution design for major commerce projects, managing and supporting other developers and sharing insights across the Accenture Data & AI community.

We are seeking a highly experienced and strategic senior leader to oversee our Cyber Engineering, Identity & Access Management (IAM), and Data Loss Prevention (DLP) functions. This role will be responsible for driving the design, delivery, and governance of enterprise-wide security engineering solutions, while ensuring secure, scalable, and resilient identity and data protection services. The ideal candidate will combine deep technical expertise with strong leadership skills to shape the future of cybersecurity, identity, and data protection within the organization. This position is designated as a Senior Management Function (SMF) under the Financial Conduct Authority regime, carrying personal accountability for compliance, operational resilience, and security effectiveness. The Role: Strategic Leadership Define and execute the global strategy for Cyber Engineering, IAM, and DLP in alignment with the enterprise security and technology roadmap. Serve as a trusted advisor to the CISO, CIO, and executive leadership on emerging threats, secure architecture, identity, and data protection. Establish metrics and reporting to demonstrate effectiveness, risk reduction, and compliance with regulatory requirements (e.g., National Institute of Standards Cyber Security Framework (NIST CSF), Digital Operations Resilience Act (DORA), New Tork State Department of Financial Services (NYDFS), Sarbanes-Oxyley (SOX), and the Financia Conduct Authority(FCA). Cyber Engineering Oversight Lead engineering teams responsible for core security platforms, including endpoint protection, cloud security, network defense, vulnerability management, and DevSecOps integrations. Build and mature a comprehensive vulnerability management program, including continuous scanning, risk-based prioritization, remediation tracking, and Board-level reporting. Drive innovation by embedding security into cloud, hybrid, and modern application architectures ("Secure by Design" principles). Ensure the adoption of automation, orchestration, and advanced analytics to improve detection, response, and resiliency. Identity & Access Management Own enterprise-wide IAM strategy, including workforce and customer identity, privileged access management (PAM), identity governance and administration (IGA), and multi-factor authentication (MFA). Lead initiatives to modernize and integrate IAM platforms to support cloud adoption, Zero Trust, and frictionless user experiences. Partner with business and technology leaders to enable secure digital transformation through robust identity services. Data Loss Prevention (DLP) Advance a comprehensive Data Loss Prevention program to safeguard sensitive information across endpoints, cloud, email, and collaboration platforms. Establish enterprise-wide policies and controls to prevent unauthorized data exfiltration, insider threats, and regulatory breaches. Implement monitoring, classification, and enforcement mechanisms that balance data protection with business enablement. Partner with business, compliance, and data governance teams to align DLP strategy with General Data Protection Regulation, Financial Conduct Authority, Prudential Regulation Authority, Sarbanes-Oxley, and other global data protection requirements. Provide executive and Board-level reporting on data protection risks, incidents, and mitigation efforts. Governance, Risk & Compliance Ensure IAM, DLP, and security engineering practices meet regulatory, audit, and policy requirements. Define and maintain standards for identity lifecycle, access controls, data handling, and information protection. Oversee risk assessments and remediation programs tied to IAM, DLP, and security engineering platforms. Senior Management Function (FCA Responsibilities) As an FCA-designated Senior Management Function (SMF) role, the position carries individual accountability under the Senior Managers & Certification Regime (SM&CR). Specific responsibilities include: Personal accountability for ensuring cyber, IAM, and DLP controls are effective, proportionate, and aligned with FCA expectations for operational resilience and financial sector stability. Maintaining robust governance, oversight, and risk management frameworks for engineering, identity, and data protection, ensuring risks are identified, escalated, and remediated in line with FCA and PRA requirements. Demonstrating reasonable steps have been taken to oversee outsourced arrangements, third-party providers, and cloud services related to IAM, DLP, and cyber platforms. Ensuring Board and regulators receive timely, accurate, and complete information on cyber, identity, and data protection risks, vulnerabilities, and remediation activities. Acting as the point of accountability for operational resilience in cyber engineering, IAM, and DLP, supporting FCA requirements around impact tolerance, scenario testing, and response planning. Requirements: Progressive experience in cybersecurity, with extensive experience in leadership roles across IAM, cyber engineering, and/or data protection. Proven track record of leading global security programs at scale in complex, regulated environments (financial services strongly preferred). Expertise in IAM technologies (SailPoint, Okta, Azure AD, CyberArk, Ping Identity), DLP platforms (Symantec, Microsoft Purview, Forcepoint, Digital Guardian), and security engineering tools (EDR, CSPM, SIEM, SOAR, vulnerability management). Strong knowledge of Zero Trust, data protection regulations (GDPR, FCA, PRA), cloud-native security, and DevSecOps practices. Exceptional leadership, communication, and stakeholder engagement skills, with the ability to influence at Board and executive levels. Relevant certifications (CISSP, CISM, CCSP, CIPP/E, SABSA, or equivalent) preferred. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email your recruiter.