Low Carbon Contracts Company

Senior AI/ML Consultant Application Deadline: 16 July 2025 Department: Analytics Employment Type: Permanent Location: London/Leeds/Birmingham Reporting To: Head of Analytics Compensation: circa £68,000 Description Contract type: Permanent Hours: Full Time, 37.5 hours per week Salary: circa £68,000 depending on experience Location: London, Leeds, or Birmingham offices WFH policy: Employees are required to attend the office 2 days/week Flexible working : Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Reports to: Head of Analytics Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. Role Summary: The Senior AI/ML Consultant plays a pivotal role in defining and developing LCCC's internal AI and machine learning capabilities. Focused on delivering practical, secure, and ethical solutions, the role will drive innovation that enhances operational efficiency and aligns with LCCC's wider digital strategy. Working directly with business teams, the Senior AI/ML Consultant identifies high-impact opportunities, shapes scalable AI and automation solutions, and leads cross-functional delivery. They own the full solution lifecycle - from problem definition and stakeholder engagement to product strategy, development, and adoption. Acting as the central coordination point for automation and innovation initiatives, the role has oversight of a portfolio of internal digital tools. This is a senior individual contributor role accountable for setting clear goals, prioritising the roadmap, coordinating technical input, and ensuring alignment with organisational priorities. This includes overseeing discovery, guiding solution design, and championing best practices in responsible AI and user enablement. Key Responsibilities Define product goals and strategy for internal AI/ML initiatives, ensuring alignment with business priorities and LCCC's digital strategy. Drive delivery across cross-functional technical teams to support incremental launches and continuous improvement. Lead discovery and validation of opportunities in collaboration with users and subject matter experts, quantifying expected impact. Manage stakeholder engagement and communication across the full solution lifecycle. Facilitate knowledge sharing and reduce duplication across development teams to improve efficiency and collaboration. Champion the responsible and transparent use of AI across the organisation. Support AI literacy and digital capability - building across the business through learning events, best practice sharing, and hands-on guidance. Skills Knowledge and Expertise A good first degree or higher in a relevant field such as business, data science, or engineering is essential or experience in an equivalent role. Proven experience in a similar product, digital delivery, or operational leadership role Proficiency in the use of Microsoft Office, Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro. Agile or project management certifications (PO. Scrum Master, SAFe, etc.) are desirable. Strong understanding of agile methodologies and experience managing backlogs and sprints using tools such as Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro. Strong stakeholder management and collaboration skills, with the ability to communicate complex ideas clearly and build consensus across varying audiences. Ability to shape and deliver digital solutions from inception through to implementation, balancing value, scope, and delivery timelines. Confidence in leading discovery with business teams; gathering requirements and translating them into transparent and actionable delivery plans. Experience promoting adoption and capability-building across non-technical teams. Ability to balance scope, quality, and security, and ethical considerations to meet critical deadlines. Employee Benefits As if contributing to and supporting work that makes life better for millions wasn't rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include: Annual performance based bonus, up to 10% 25 days annual leave, plus eight bank holidays Up to 8% pension contribution Financial support and time off for study relevant to your role, plus a professional membership subscription Employee referral scheme (up to £1500), and colleague recognition scheme Family friendly policies, including enhanced maternity leave and shared parental leave Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service Three paid volunteering days a year Season ticket loan and cycle to work schemes Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers Employee resource groups

Senior AI/ML Consultant Application Deadline: 16 July 2025 Department: Analytics Employment Type: Permanent Location: London/Leeds/Birmingham Reporting To: Head of Analytics Compensation: circa £68,000 Description Contract type: Permanent Hours: Full Time, 37.5 hours per week Salary: circa £68,000 depending on experience Location: London, Leeds, or Birmingham offices WFH policy: Employees are required to attend the office 2 days/week Flexible working : Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Reports to: Head of Analytics Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. Role Summary: The Senior AI/ML Consultant plays a pivotal role in defining and developing LCCC's internal AI and machine learning capabilities. Focused on delivering practical, secure, and ethical solutions, the role will drive innovation that enhances operational efficiency and aligns with LCCC's wider digital strategy. Working directly with business teams, the Senior AI/ML Consultant identifies high-impact opportunities, shapes scalable AI and automation solutions, and leads cross-functional delivery. They own the full solution lifecycle - from problem definition and stakeholder engagement to product strategy, development, and adoption. Acting as the central coordination point for automation and innovation initiatives, the role has oversight of a portfolio of internal digital tools. This is a senior individual contributor role accountable for setting clear goals, prioritising the roadmap, coordinating technical input, and ensuring alignment with organisational priorities. This includes overseeing discovery, guiding solution design, and championing best practices in responsible AI and user enablement. Key Responsibilities Define product goals and strategy for internal AI/ML initiatives, ensuring alignment with business priorities and LCCC's digital strategy. Drive delivery across cross-functional technical teams to support incremental launches and continuous improvement. Lead discovery and validation of opportunities in collaboration with users and subject matter experts, quantifying expected impact. Manage stakeholder engagement and communication across the full solution lifecycle. Facilitate knowledge sharing and reduce duplication across development teams to improve efficiency and collaboration. Champion the responsible and transparent use of AI across the organisation. Support AI literacy and digital capability - building across the business through learning events, best practice sharing, and hands-on guidance. Skills Knowledge and Expertise A good first degree or higher in a relevant field such as business, data science, or engineering is essential or experience in an equivalent role. Proven experience in a similar product, digital delivery, or operational leadership role Proficiency in the use of Microsoft Office, Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro. Agile or project management certifications (PO. Scrum Master, SAFe, etc.) are desirable. Strong understanding of agile methodologies and experience managing backlogs and sprints using tools such as Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro. Strong stakeholder management and collaboration skills, with the ability to communicate complex ideas clearly and build consensus across varying audiences. Ability to shape and deliver digital solutions from inception through to implementation, balancing value, scope, and delivery timelines. Confidence in leading discovery with business teams; gathering requirements and translating them into transparent and actionable delivery plans. Experience promoting adoption and capability-building across non-technical teams. Ability to balance scope, quality, and security, and ethical considerations to meet critical deadlines. Employee Benefits As if contributing to and supporting work that makes life better for millions wasn't rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include: Annual performance based bonus, up to 10% 25 days annual leave, plus eight bank holidays Up to 8% pension contribution Financial support and time off for study relevant to your role, plus a professional membership subscription Employee referral scheme (up to £1500), and colleague recognition scheme Family friendly policies, including enhanced maternity leave and shared parental leave Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service Three paid volunteering days a year Season ticket loan and cycle to work schemes Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers Employee resource groups

Senior AI/ML Consultant Application Deadline: 16 July 2025 Department: Analytics Employment Type: Permanent Location: London/Leeds/Birmingham Reporting To: Head of Analytics Compensation: circa £68,000 Description Contract type: Permanent Hours: Full Time, 37.5 hours per week Salary: circa £68,000 depending on experience Location: London, Leeds, or Birmingham offices WFH policy: Employees are required to attend the office 2 days/week Flexible working : Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Reports to: Head of Analytics Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. Role Summary: The Senior AI/ML Consultant plays a pivotal role in defining and developing LCCC's internal AI and machine learning capabilities. Focused on delivering practical, secure, and ethical solutions, the role will drive innovation that enhances operational efficiency and aligns with LCCC's wider digital strategy. Working directly with business teams, the Senior AI/ML Consultant identifies high-impact opportunities, shapes scalable AI and automation solutions, and leads cross-functional delivery. They own the full solution lifecycle - from problem definition and stakeholder engagement to product strategy, development, and adoption. Acting as the central coordination point for automation and innovation initiatives, the role has oversight of a portfolio of internal digital tools. This is a senior individual contributor role accountable for setting clear goals, prioritising the roadmap, coordinating technical input, and ensuring alignment with organisational priorities. This includes overseeing discovery, guiding solution design, and championing best practices in responsible AI and user enablement. Key Responsibilities Define product goals and strategy for internal AI/ML initiatives, ensuring alignment with business priorities and LCCC's digital strategy. Drive delivery across cross-functional technical teams to support incremental launches and continuous improvement. Lead discovery and validation of opportunities in collaboration with users and subject matter experts, quantifying expected impact. Manage stakeholder engagement and communication across the full solution lifecycle. Facilitate knowledge sharing and reduce duplication across development teams to improve efficiency and collaboration. Champion the responsible and transparent use of AI across the organisation. Support AI literacy and digital capability - building across the business through learning events, best practice sharing, and hands-on guidance. Skills Knowledge and Expertise A good first degree or higher in a relevant field such as business, data science, or engineering is essential or experience in an equivalent role. Proven experience in a similar product, digital delivery, or operational leadership role Proficiency in the use of Microsoft Office, Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro. Agile or project management certifications (PO. Scrum Master, SAFe, etc.) are desirable. Strong understanding of agile methodologies and experience managing backlogs and sprints using tools such as Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro. Strong stakeholder management and collaboration skills, with the ability to communicate complex ideas clearly and build consensus across varying audiences. Ability to shape and deliver digital solutions from inception through to implementation, balancing value, scope, and delivery timelines. Confidence in leading discovery with business teams; gathering requirements and translating them into transparent and actionable delivery plans. Experience promoting adoption and capability-building across non-technical teams. Ability to balance scope, quality, and security, and ethical considerations to meet critical deadlines. Employee Benefits As if contributing to and supporting work that makes life better for millions wasn't rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include: Annual performance based bonus, up to 10% 25 days annual leave, plus eight bank holidays Up to 8% pension contribution Financial support and time off for study relevant to your role, plus a professional membership subscription Employee referral scheme (up to £1500), and colleague recognition scheme Family friendly policies, including enhanced maternity leave and shared parental leave Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service Three paid volunteering days a year Season ticket loan and cycle to work schemes Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers Employee resource groups

Senior AI/ML Consultant Application Deadline: 16 July 2025 Department: Analytics Employment Type: Permanent Location: London/Leeds/Birmingham Reporting To: Head of Analytics Compensation: circa £68,000 Description Contract type: Permanent Hours: Full Time, 37.5 hours per week Salary: circa £68,000 depending on experience Location: London, Leeds, or Birmingham offices WFH policy: Employees are required to attend the office 2 days/week Flexible working : Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Reports to: Head of Analytics Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. Role Summary: The Senior AI/ML Consultant plays a pivotal role in defining and developing LCCC's internal AI and machine learning capabilities. Focused on delivering practical, secure, and ethical solutions, the role will drive innovation that enhances operational efficiency and aligns with LCCC's wider digital strategy. Working directly with business teams, the Senior AI/ML Consultant identifies high-impact opportunities, shapes scalable AI and automation solutions, and leads cross-functional delivery. They own the full solution lifecycle - from problem definition and stakeholder engagement to product strategy, development, and adoption. Acting as the central coordination point for automation and innovation initiatives, the role has oversight of a portfolio of internal digital tools. This is a senior individual contributor role accountable for setting clear goals, prioritising the roadmap, coordinating technical input, and ensuring alignment with organisational priorities. This includes overseeing discovery, guiding solution design, and championing best practices in responsible AI and user enablement. Key Responsibilities Define product goals and strategy for internal AI/ML initiatives, ensuring alignment with business priorities and LCCC's digital strategy. Drive delivery across cross-functional technical teams to support incremental launches and continuous improvement. Lead discovery and validation of opportunities in collaboration with users and subject matter experts, quantifying expected impact. Manage stakeholder engagement and communication across the full solution lifecycle. Facilitate knowledge sharing and reduce duplication across development teams to improve efficiency and collaboration. Champion the responsible and transparent use of AI across the organisation. Support AI literacy and digital capability - building across the business through learning events, best practice sharing, and hands-on guidance. Skills Knowledge and Expertise A good first degree or higher in a relevant field such as business, data science, or engineering is essential or experience in an equivalent role. Proven experience in a similar product, digital delivery, or operational leadership role Proficiency in the use of Microsoft Office, Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro. Agile or project management certifications (PO. Scrum Master, SAFe, etc.) are desirable. Strong understanding of agile methodologies and experience managing backlogs and sprints using tools such as Visio, Camunda, Confluence, Figma, Jira and collaboration tools such as Miro. Strong stakeholder management and collaboration skills, with the ability to communicate complex ideas clearly and build consensus across varying audiences. Ability to shape and deliver digital solutions from inception through to implementation, balancing value, scope, and delivery timelines. Confidence in leading discovery with business teams; gathering requirements and translating them into transparent and actionable delivery plans. Experience promoting adoption and capability-building across non-technical teams. Ability to balance scope, quality, and security, and ethical considerations to meet critical deadlines. Employee Benefits As if contributing to and supporting work that makes life better for millions wasn't rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include: Annual performance based bonus, up to 10% 25 days annual leave, plus eight bank holidays Up to 8% pension contribution Financial support and time off for study relevant to your role, plus a professional membership subscription Employee referral scheme (up to £1500), and colleague recognition scheme Family friendly policies, including enhanced maternity leave and shared parental leave Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service Three paid volunteering days a year Season ticket loan and cycle to work schemes Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers Employee resource groups

AI/ML Engineer Department: Analytics Employment Type: Permanent Location: Birmingham/Leeds Reporting To: Quantitative Development Manager Compensation: Circa £54,000 Description Contract type: Permanent Hours: Full Time or Part Time; 37.5 hours per week (FTE) Salary: circa £54,000 Location: Leeds or Birmingham office WFH policy: At least two days a week in the office (and or on site), and you're welcome to come in more often Flexible working : Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Reports to: Quantitative Development Manager Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. The AI/ML Engineer will play a key role in developing secure, scalable, and impactful AI and machine learning solutions across LCCC. This includes building and improving generative bespoke AI tools, and delivering applied ML use cases that enhance our operations. Working closely with analysts, developers, and technical leads, the AI/ML Engineer will take functional ownership of AI/ML engineering, ensuring solutions are aligned with best practices in software design, security, and maintainability. The role will also contribute to setting foundational MLOps and engineering standards that enable responsible, future-proof AI adoption across the organisation. The ideal candidate will bring strong hands-on experience in Python development, applied machine learning, and modern software engineering. They will be naturally curious and self-directed, with the ability to move between exploration and production delivery. A strong advocate for AI and data best practices, they will promote responsible use of emerging technologies and contribute to building digital confidence and security awareness across teams. Key Responsibilities Design, develop, and deploy secure and scalable AI and ML solutions, ensuring alignment with organisational priorities and standards. Improve and maintain existing tools and models; enhancing accuracy, data ingestion, and user experience. Responsible for contributing to the development of reusable frameworks, engineering standards, and documentation that guide sustainable AI development. Work collaboratively with analysts, subject matter experts, and stakeholders to translate business needs into technically sound solutions Acts as a key technical partner to analysts and business teams, supporting knowledge transfer and model interpretability. Create and maintain clear, high-quality technical documentation and user-facing material. Skills, Knowledge and Expertise A good first degree or higher in a highly numerate subject (e.g. computer science, engineering, mathematics, or data science). Minimum 2 years' experience in Python development, including use of scientific and data libraries such as NumPy, pandas, SciPy, or PySpark. Experience working with machine learning frameworks and libraries such as scikit-learn, PyTorch, TensorFlow, or similar. Strong grasp of object-oriented software engineering principles, with a focus on maintainability and scalability. Experience with version control tools, particularly Git, in collaborative development environments. Understanding of core data structures, algorithms, and model performance trade-offs. Familiarity with modern MLOps and model lifecycle practices, including reproducibility, testing, and deployment. Knowledge of responsible AI practices, data governance, and ethical implications of ML development. Strong communication skills, with the ability to explain complex technical ideas to non-technical audiences clearly and effectively. An adaptable and curious mindset with a proactive approach to problem-solving and learning. Familiarity with cloud platforms such as Azure, AWS, or GCP is desirable. Benefits As if contributing to and supporting work that makes life better for millions wasn't rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include: Annual performance based bonus, up to 10% 25 days annual leave, plus eight bank holidays Up to 8% pension contribution Financial support and time off for study relevant to your role, plus a professional membership subscription Employee referral scheme (up to £1500), and colleague recognition scheme Family friendly policies, including enhanced maternity leave and shared parental leave Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service Three paid volunteering days a year Season ticket loan and cycle to work schemes Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers Employee resource groups

AI/ML Engineer Department: Analytics Employment Type: Permanent Location: Birmingham/Leeds Reporting To: Quantitative Development Manager Compensation: Circa £54,000 Description Contract type: Permanent Hours: Full Time or Part Time; 37.5 hours per week (FTE) Salary: circa £54,000 Location: Leeds or Birmingham office WFH policy: At least two days a week in the office (and or on site), and you're welcome to come in more often Flexible working : Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Reports to: Quantitative Development Manager Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. The AI/ML Engineer will play a key role in developing secure, scalable, and impactful AI and machine learning solutions across LCCC. This includes building and improving generative bespoke AI tools, and delivering applied ML use cases that enhance our operations. Working closely with analysts, developers, and technical leads, the AI/ML Engineer will take functional ownership of AI/ML engineering, ensuring solutions are aligned with best practices in software design, security, and maintainability. The role will also contribute to setting foundational MLOps and engineering standards that enable responsible, future-proof AI adoption across the organisation. The ideal candidate will bring strong hands-on experience in Python development, applied machine learning, and modern software engineering. They will be naturally curious and self-directed, with the ability to move between exploration and production delivery. A strong advocate for AI and data best practices, they will promote responsible use of emerging technologies and contribute to building digital confidence and security awareness across teams. Key Responsibilities Design, develop, and deploy secure and scalable AI and ML solutions, ensuring alignment with organisational priorities and standards. Improve and maintain existing tools and models; enhancing accuracy, data ingestion, and user experience. Responsible for contributing to the development of reusable frameworks, engineering standards, and documentation that guide sustainable AI development. Work collaboratively with analysts, subject matter experts, and stakeholders to translate business needs into technically sound solutions Acts as a key technical partner to analysts and business teams, supporting knowledge transfer and model interpretability. Create and maintain clear, high-quality technical documentation and user-facing material. Skills, Knowledge and Expertise A good first degree or higher in a highly numerate subject (e.g. computer science, engineering, mathematics, or data science). Minimum 2 years' experience in Python development, including use of scientific and data libraries such as NumPy, pandas, SciPy, or PySpark. Experience working with machine learning frameworks and libraries such as scikit-learn, PyTorch, TensorFlow, or similar. Strong grasp of object-oriented software engineering principles, with a focus on maintainability and scalability. Experience with version control tools, particularly Git, in collaborative development environments. Understanding of core data structures, algorithms, and model performance trade-offs. Familiarity with modern MLOps and model lifecycle practices, including reproducibility, testing, and deployment. Knowledge of responsible AI practices, data governance, and ethical implications of ML development. Strong communication skills, with the ability to explain complex technical ideas to non-technical audiences clearly and effectively. An adaptable and curious mindset with a proactive approach to problem-solving and learning. Familiarity with cloud platforms such as Azure, AWS, or GCP is desirable. Benefits As if contributing to and supporting work that makes life better for millions wasn't rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include: Annual performance based bonus, up to 10% 25 days annual leave, plus eight bank holidays Up to 8% pension contribution Financial support and time off for study relevant to your role, plus a professional membership subscription Employee referral scheme (up to £1500), and colleague recognition scheme Family friendly policies, including enhanced maternity leave and shared parental leave Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service Three paid volunteering days a year Season ticket loan and cycle to work schemes Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers Employee resource groups

Solution Architect Application Deadline: 2 February 2025 Department: Tech Hub Employment Type: Full Time Location: London Description Contract type: Permanent Hours: 37.5/week Salary: circa £85k depending on experience Location: Canary Wharf WFH policy: Employees are required to attend the office 2 days/week Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Reports to: Lead Solution Architect Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. Role Summary: Low Carbon Contracts Company runs the settlement systems for the Contracts for Difference and Capacity Market schemes within the electricity industry, and is expanding into new schemes supporting Carbon Capture and Storage, Hydrogen and other new markets. As a cloud-based organisation (Azure and AWS), we have no legacy systems due to the relatively young age of the Company. The Solution Architect will work on projects across the entire project lifecycle, to deliver solutions to defined business requirements operating within organisation patterns or processes. The Solution Architect will ensure systems are secure, scalable and supportable with the organisations support functions seeking to reuse / expand existing solutions and services where possible. Working in the Technology Hub the Solution Architect will become Subject Matter Experts of various systems that support LCCC schemes. The Solutions Architect will work with operational and project teams across the business to take intellectual ownership of LCCC architectural and operational design, improvements, and roadmap, and will develop a deep understanding of our schemes and operations. As such, the ability to communicate complex ideas and issues simply and effectively will be very important. The role requires the creation of technical documentation that will provide business processes, settlement calculation mechanics, data catalogues and data interface requirements. The documents created will be in support of the IT system requirements specification (functional and non-functional) and the associated operating model or new schemes as required. Following the production of the IT specification, support to the IT system development project, the development of User Acceptance Testing documentation and creation of Local Working Instructions as needed in the establishment of the new functionality. The role requires end to end requirements support/ownership from concept to delivery. Key Responsibilities The key accountabilities of the role are outlined below, covering both the Low Carbon Contracts Company and Electricity Settlement Company. However, this is an overview of the role and is not exhaustive. Responsible for documenting the "as-is" and "to-be" solution, technical and data architecture Responsible for ensuring that solutions proposed by a project meet the strategic objectives of the product or service Responsible for ensuring the correct technical solutions and products are chosen Responsible for ensuring chosen solutions meet the business, functional and non-functional requirements Ensuring the technical transition approach meets the business requirements Responsible for documenting the technology landscape, interfaces and data flows Supporting solution ownership within the operating model of LCCC Ensuring that any project delivery meets the architecture strategy and policies Responsible for developing and maintaining a clear roadmap for the adoption of new features Responsible for managing the technical risks across any project, product or service Responsible for ensuring that the strategies and architecture policies are followed Design highly scalable software solutions to improve functionality and system longevity. Work with technical business analysts to fine tune requirements and ensure that wants are feasible and pragmatic and validate development tasks in Jira. Skills Knowledge and Expertise Essential: Minimum 3 years of cloud-based experience in successfully delivering within IT/business transformation project/programme roles as a Solution Architect Cloud architecture: AWS or Azure Creation of high level design (HLD) and low level design (LLD) documents Creation of UML and ITIL standard documentation Desirable: ArchiMate modelling Enterprise integration patterns Microservices, Event Driven Architecture, Domain-Driven Design (DDD), CQRS Cloud certification: AWS or Azure Employee Benefits As if contributing to and supporting work that makes life better for millions wasn't rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include: 25 days' annual leave and bank holidays Recognition schemes allowing colleagues to say thanks Company contribution to your pension scheme Family friendly policies, including enhanced company maternity/paternity and shared parental benefits Employee assistance programme for free, confidential support for your professional or personal life, including financial management and family care Special leave such as study leave, sabbatical or public duties Three days paid leave a year for volunteering to support your local community Season ticket loan scheme to support your commute Access to "Work Perks" offering deals, discounts and cash back on your purchases Family savings on days out and English Heritage or gym discounts through our partners.

Contract Manager WFH policy: Employees are required to attend the office 2 days/week (exceptions made during lockdowns in line with UK Government guidance) Flexible working : Informal flexible work patterns subject to line manager discretion including a 9-day fortnight. Visa sponsorships: LCCC does not sponsor visas currently so you will need to hold a valid UK passport or a valid visa to work in the UK click apply for full job details