QA - Search results(13 vacancies/1)-Country : Europe-->UK

Maths & English Functional Skills Tutor

Ref. : 1000008970
Home Based
Other
Maths & English Functional Skills Tutor Any QA Site/Homebased Permanent Summary: You will be part of the Functional Skills Learning Delivery team, focusing on providing tailored maths and English support to learners, particularly in preparation for their Level 2 Functional Skills exams. Your role will involve delivering high-quality teaching, learning, and support that empowers learners to achieve their personal aspirations, academic goals, and qualifications. This will require you to monitor and document learner progress, ensuring alignment with individually agreed targets. You will also support the wider Apprenticeship curriculum to ensure English and maths is continuously embedded. You will be responsible for adapting your approach to meet the evolving needs of each learner, supporting their continuous development and success. Role Responsibilities: Design, plan, and deliver engaging and effective maths and English skills workshops, both face-to-face and virtually, ensuring they meet the diverse needs of learners Take a leading role in owning the relationship with our awarding bodies on a regular and ongoing basis. Attend quality meetings/committees and contribute as an SME in the maths & English/FS space. Develop and maintain high-quality maths and English materials and resources for online delivery. Create tailored individual support plans based on initial and diagnostic assessments, addressing each learner's specific needs and goals. Deliver impactful learning experiences that drive learner progression, ensuring learners meet or exceed the targets set, ultimately helping them achieve their qualifications. Drive impactful learning outcomes in Functional Skills English and Maths by setting ambitious yet achievable goals, tracking learner progress effectively, adhering to compliance requirements and consistently exceeding targets Your Experience/Skills: Demonstrate a proven track record in the delivery of Functional Skills, with significant experience in supervising learners and providing tailored support that meets individual needs. Deliver high-quality support, tutorials, and workshops both virtually and in-person, ensuring an engaging and interactive learning experience for all students. Provide one-to-one tutorials and learner-centred workshops, customizing teaching strategies to ensure learners' success and achievement in their qualifications.
HOMEBASED

Senior Learning Design Consultant - AI

Ref. : 1000009081
UK
Other
Senior Learning Design Consultant - AI Hybrid (UK or US) Full time: 37.5 hours per week Competitive salary plus some great benefits QA is the largest tech training company in the UK and the fastest growing in the US, empowering organisations to learn, master, and apply new tech skills at scale. We believe the future belongs to organisations that are able to learn, master and apply new skills at speed and scale, combining the power of human and machine intelligence.  We get organisations to develop skillsets and mindsets in AI, cloud, data, and other technologies by: Providing a continuous learner experience Connecting up learning across the organisation Creating more collaborative learning As Senior Learning Design Consultant – AI your role will be the lead subject matter expert in the AI portfolio with responsibility for product design and content development in multi-modalities, including digital and labs as well as instructor-led training.  Key Responsibilities: Design and develop innovative and engaging public and client specific AI products Undertake pre-sales engagements as agreed with the Portfolio Director Use Management Information and data to generate insights that help improve product quality Work with Portfolio Director to maintain the relevance of the AI Portfolio  Experience:   In-depth and broad knowledge of AI technologies relevant to the real world of practise and including industry trends Proven track record of designing, developing and delivering learning solutions across multiple modes (e.g. classroom, digital, blended, virtual Knowledge of what learning approaches result in the successful transfer of learning into a modern workforce Best-practice in current learning methods
TBC

Bid Writer

Ref. : 1000008681
Home Based
Other
Bid Writer Hybrid (London) Full time, 37.5 hours per week Competitive salary plus some great benefits QA is one of the largest learning services organisations in the UK, developing skills and capabilities for everyone from apprentices to business leaders. By powering potential – the potential of over a quarter of a million learners a year. We empower them to push boundaries and thrive in the workplace. Working within the Bid’s team, this role will be to support in identifying and converting new business opportunities through the management and delivery of professional proposals and developing and writing high-quality bid proposals, executive summaries, technical responses and support pricing strategies. Key Responsibilities: Bid Management: Oversee the bid process, including planning, coordination, and submission of bids. Ensure all deadlines are met and that proposals are compliant with client specifications. Research: Conduct thorough research to understand client requirements, industry standards, and competitive landscape. Contribute to the daily operation of the QA central Bid Team including sharing common tasks Work closely with sales and technical teams to gather relevant information and insights for bid proposals. Experience: Public and private sector bids, in storyboard formats. Structured proposal methodologies, such as Shipley Portals (bravo/jaggaer, delta, ariba etc) Expertise in storytelling -transforming input from SMEs and Sales leads into compelling storytelling content Skilled in preparing and editing high-quality written content that effectively communicates the value proposition.
HOMEBASED

Digital Product Management and Business Analysis (L4) Apprenticeship Trainer

Ref. : 1000009068
Home Based
Other
Digital Product Management and Business Analysis (L4) Apprenticeship Trainer Homebased with occasional travel as required Permanent We are seeking an experienced and passionate Apprenticeship Trainer to deliver engaging and career-focused training across Digital Product Management and Business Analysis standards. This dual-focus role is ideal for a professional with hands-on experience in both fields or someone experienced in product management who is committed to guiding apprentices through real-world application, skill development, and achieving their qualifications. Role Responsibilities: Deliver engaging training workshops and aligned to apprenticeship standards such as: Level 4 Business Analyst Apprenticeship Level 4 Digital Product Manager (e.g. emerging standards or internal curriculum) Teach core topics including: Agile and Scrum frameworks Requirements gathering, stakeholder mapping, and gap analysis Product lifecycle, road-mapping, MVP definition, and backlog management User research, personas, journey mapping, and data-driven product decisions Business process modelling and use cases Commercial awareness [FB2] and value-based prioritisation Your Experience/Skills: Proven hands-on experience in Digital Product Management and/or Business Analysis roles. Strong knowledge of Agile methodologies (Scrum, Kanban) and lean product development. Excellent communication, presentation, and facilitation skills Ability to translate real-world experience into impactful learning
TBC

Head of IT & Business Systems

Ref. : 1000008994
Home Based
Other
Head of IT & Business Systems QAHE Fulltime and Permanent Opportunity Homebased Dear all, I am really pleased to tell you about a QAHE internal opportunity now open for application. As Head of IT & Business Systems, here’s some of the responsibilities: Managing and enhancing QA HE’s technology business operations and the implementation of new Business Systems, Enhancement Projects and Upgrades. To serve as the interface with assigned business units or functional areas for the purpose of business technology efficiency, development, solution discovery, service management, risk management, and relationship management. Working across a vast range of stakeholders within QAHE and the wider group, including Executive Team members and the Group Chief Technology Officers to drive commonality and share strategic initiatives with common goals. Responsible for multi-functional technologies including on-premises Campus tech and Cloud solutions to improve the experience of both staff members, (back office/lecturers/delivery personnel), and front office (learners/students/applicants). Serving as the business relationship link between the business units and IT at all levels (including executive). Providing highly valued strategic consulting level support and guidance through key IT initiatives. Communicating with decisions, priorities and relevant project information to appropriate levels of staff regarding business unit requests, projects and initiatives. Proactively sharing knowledge of technology risks and opportunities to build competitive advantage and improve efficiency and effectiveness of business units. Partnering with business leadership and other key stakeholders to define opportunities and to identify and prioritise projects based on predefined criteria (such as return on investment, productivity, compliance) Here’s a little more about the role: click through to read the full job description outlining the job role, skills and experience required. Devising and establishing Business Technology systems to support the implementation of strategies set by the Exec. Overseeing all technology operations and evaluating them according to established goals Purchase functionally efficient and cost-effective technological equipment and software. Introduction of technology to assist in operational efficiency & the delivery of learning Engaging with Senior members of other functions within the business to identify and understand technology requirements and solutions. Engagement with IT Directors and Senior IT members of staff within Partner Institutions, to engage with their roadmap to drive out potential synergies that can be introduced within QAHE to further strengthen partner relations
HOMEBASED

Head of Data & Engineering (QAHE) London OR Birmingham OR Manchester based

Ref. : 1000008992
London, Manchester or Birmingham
England
Head of Data & Engineering QAHE Fulltime and Permanent Opportunity London OR Birmingham OR Manchester based. Dear all, I am really pleased to tell you about a QAHE internal opportunity now open for application. As our Head of Data and Engineering, you'll be the strategic leader at the intersection of our data and technology initiatives. You'll be responsible for building, leading, and mentoring a high-performing team of data engineers and Insight analysts & business analysts a. Your primary focus will be to design, develop, and implement scalable data architectures and engineering solutions that drive business intelligence, reduce technical complexity and drive seamless integrations. You'll translate complex business needs into technical specifications, ensuring our data infrastructure is robust, secure, and future proof. This is a hands-on leadership role where you'll balance technical expertise with strong people management and strategic vision, ultimately empowering our organization to leverage data as a core asset. Here’s a little more about the role: click through to read the full job description outlining the job role, skills and experience required. Strategic Leadership: Define and execute the overall data and engineering strategy, aligning with company goals and anticipating future needs. Team Leadership & Development: Recruit, manage, mentor, and develop a multidisciplinary team of data and engineering professionals, fostering a culture of innovation, collaboration, and continuous improvement. Architectural Design: Design, implement, and maintain robust, scalable, and secure data platforms, pipelines, and engineering solutions, ensuring data quality, integrity, and accessibility. Technical Oversight: Provide technical leadership and guidance across all data and engineering projects, ensuring best practices in data governance, security, and MLOps. Cross-Functional Collaboration: Partner closely with product, analytics, and other business units to understand data requirements and deliver impactful solutions. Resource Management: Manage resources, and vendor relationships related to data and engineering initiatives. Innovation & Research: Stay abreast of emerging technologies and industry trends in data and AI, driving their adoption where beneficial. Experience required: Experience in business systems, systems analysis and data engineering Experience in solution design for data initiatives – migration, integration, ETL, data warehouse structures Cloud Platforms: In-depth knowledge and hands-on experience with MS Azure and their data services. Data Technologies: proficiency with a data technologies, including relational and NoSQL databases, data warehousing solutions & ETL/ELT tools. Agile Methodologies: Experience working with Agile development methodologies (Scrum, Kanban). If interested, please formally apply for the vacancy via the People Link portal where you can click through to read

Data and AI Trainer

Ref. : 1000008908
Site Based
Other
Data and AI Trainer 70% Remote, 30% any QA Onsite (London, Manchester, Leeds, Birmingham, Slough) About the role: As an expert in your field, you will deliver QA and vendor specific innovative, high-quality training in Data Science, GenAI, and Python to a wide range of clients. You will empower learners to apply their knowledge effectively in real-world scenarios. In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python, and the NumPy ecosystem, and desirable experience in AI frameworks and cloud platforms, you’ll stay at the forefront of industry trends through ongoing professional development and a passion for education. Role Responsibilities: Training Delivery: Deliver high quality and engaging training in line with polices, industry standards and regulatory requirements. Performance & Quality Metrics: Attain a consistent Trainer Satisfaction Score (TSAT) of 88%+ and achieve ‘Meeting Expectations’ in trainer observations, utilise feedback to improve performance and effectiveness of training, conduct peer observations providing constructive feedback. Subject Matter Expertise: Act as an SME utilising your in-depth knowledge to contribute insights to internal discussions, client programmes and collaborate cross functionally Communication: Collaborate effectively across teams, maintaining professional proactive communication with internal and external stakeholders Contribution: Support team objectives and initiatives, demonstrate accountability and reliability showing flexibility to adapt to priorities Continuous Professional Development: Proactively maintain industry recognised certifications, engage in continued learning to stay up to date with industry trends, emerging tech and best practices Your Experience/Skills: Training Delivery Excellent presentation, facilitation, and coaching skills to effectively deliver complex technical content in an engaging and interactive manner virtually and/or in-person Ability to connect with diverse audiences including technical and non-technical professionals Skills and Technical Proficiency Strong knowledge of GenAI concepts, applications and prompt engineering Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem. Industry Knowledge & Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with AI/ML engineers, data scientists, and other data professionals Wider Requirements Passion for education, technology, and empowering others through knowledge sharing Qualifications: Desirable degree in Mathematics or related field Desirable relevant cloud vendor (GCP, AWS, Azure) certifications
DUMMY

Senior BI Analyst

Ref. : 1000008984
Home Based
Other
Senior BI Analyst Home based Permanent About the role: The QA Insights Team focus on providing key data analysis and insights to our colleagues in QA. You will be a senior member of the team playing a crucial role in driving the company’s growth and development through strategic analysis and transformation initiatives. Key Responsibilities Conduct research and analysis to identify business transformation opportunities and develop strategies for improvement. Collaborate with cross-functional teams to gather requirements, build/design a scope, take lead in meetings with stakeholders, test, implement, document, workshop, complete maintenance. Interpret and visualise data, analyse results using statistical techniques and provide ongoing reports. Work closely with the wider data engineering team to ensure changes are implemented in line with business requirements. Leverage the team to deliver fast paced and effective responses to ad hoc analysis requests and queries. Act as a bridge between the business functions and IT ensuring clarity of requirements for our IT team. Collaborate with IT to develop and improve underlying data. Identify, analyse, and interpret trends or patterns in complex data sets. Your Experience With QAs focus on being winners in the digital revolution, your experience in business transformation and BI tool is needed. Has worked extensively with BI tools in medium to large enterprise organisation with 5+ Years’ experience in a Data Analytical role. Strong analytical and problem-solving skills, with the ability to gather, interpret, and analyze complex data. Excellent communication and presentation skills, with the ability to effectively convey complex information to diverse stakeholders. Strong stakeholder management skills, with the ability to collaborate and influence teams at all levels of the organization. Proven ability to drive change and implement transformation initiatives. Knowledge of industry standards and best practices in business transformation Experience in an Education / Apprenticeship sector is ideal. Essential: Data Analysis Skills Experience in producing trend/pattern analysis to track data journeys. Visualisation Our software of choice is Power BI, but experience in similar software (e.g. Tableau, Looker, Qlik) DAX Strong Excel skills Preferable: CRM experience (BUD, Maytas, Salesforce) JIRA
HOMEBASED

Programme Leader (MSc International Business)

Ref. : 1000008674
London, Manchester or Birmingham
England
Programme Leader (MSc International Business)- Ulster University I am really pleased to tell you about a QAHE internal opportunity for a Programme Leader (MSc International Business) now open for application. QAHE is recruiting for the role of Programme Leader for the Ulster University MSc International Business Programme. As Programme Leader, you will have overall responsibility for leading and managing academic delivery of the MSc International Business programme in partnership with Ulster University. You will ensure compliance with academic standards, high quality student experience and building a high calibre academic programme/s team Key responsibilities (please click through to read the job description in full) To support the effective delivery of the management of a postgraduate degree programmes at the research/dissertation phase To co-ordinate and plan delivery of the year of the programme being delivered To act as the first point of contact for academic queries regarding the dissertation/research phase of postgraduate programme To contribute to management of the academic and operational relationship with the university on a day-to-day basis To implement the University’s academic and quality assurance policies and procedures, to be accountable for academic standards To monitor and review student achievement/progression and implement additional support mechanisms as appropriate. To improve established and develop learning and teaching approaches to support student achievement and experience. To teach on modules as appropriate, as well as taking module leadership where required To support less experienced lecturers when needed as directed by Academic Managers Fair allocation and coordination of dissertation/project supervisors To liaise with a team of Lecturers regarding delivery, assessment, marking and management of undergraduate dissertations and research projects Develop policy and procedure to enhance the process and experience of staff and students. Support the mentoring and development of the faculty Must have's Relevant academic programme management experience – Essential. Doctorate Degree (or close to completion)- Desirable HEA Fellowship – desirable If interested, please formally apply for the vacancy via the People Link portal where you can click through to read the full job description outlining the job role, skills and experience required. Here’s what to do:   Login to Peoplelink Click internal vacancies scroll down the left of the page Click on to the correct vacancy and Use the apply button to submit your application    The deadline for applications is set as 18/07/ 2025 at 17.30pm

AI Engineering Trainer

Ref. : 1000008366
Home Based
Other
AI Engineering Trainer (Level 6) Home based About our role: We are seeking an experienced and passionate AI Engineer Apprenticeship Trainer to deliver high-quality, hands-on training in artificial intelligence and machine learning engineering. The ideal candidate will have a strong background in AI/ML concepts, software engineering, and real-world project experience, with a passion for teaching and upskilling professionals or students. Key Responsibilities Teach key topics including: Machine learning algorithms (supervised, unsupervised, reinforcement learning) Assessing Security, Ethics & XAI Developing & Testing AI Solutions Leading AI & Future Innovation Deep learning (CNNs, RNNs, transformers) Generative AI and LLMs (e.g., GPT, BERT, Diffusion models) Data preprocessing, feature engineering, model evaluation AI deployment and MLOps best practices Guide learners through coding labs, projects, and capstone work using Python, TensorFlow, PyTorch, or similar tools. Stay updated with the latest AI technologies, tools, and trends to continuously improve training content. Assess participant progress through quizzes, assignments, and evaluations. Collaborate with curriculum developers and other trainers to maintain a consistent and high-quality learning experience. Data architecture, pipelines and storage Awareness of cutting-edge AI topics (e.g. agents, RAG, RAC, MCP) Data visualisation Skills & Abilities Essential: Bachelors or master’s degree in Computer Science, Data Science, AI, or related field. Strong programming skills in Python and familiarity with tools like Jupyter, NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Excellent communication, presentation, and facilitation skills. Must be able to inspire and engage on AI topics Practical expertise with building and deploying AI models' Desirable: Experienced in training, mentoring, or teaching technical content to professionals or students. 3+ years of experience in AI/ML engineering or research. Teaching qualification or willingness to work towards one Understanding of Docker, Streamlit, FastAPI and Flask Experience pandas, scikit-learn
B5 4UA

Digital Learning Advisor

Ref. : 1000008666
Home Based
Other
Digital Learning Advisor Remote (ability to come to a QA office with advanced notice) Full time, 37.5 hours per week Competitive salary plus some great benefits QA is one of the largest learning services organisations in the UK, developing skills and capabilities for everyone from apprentices to business leaders. By powering potential – the potential of over a quarter of a million learners a year. We empower them to push boundaries and thrive in the workplace. Working within the Digital Learning team, this role will be responsible for providing support and guidance to learners, providing a positive learner experience and ensuring the team KPI’s are met. You will also be enrolled onto a Data Technician level 3 apprenticeship. Key Responsibilities: Deliver engaging Programme Launch sessions to groups of learners and feedback on Day 1 Learning Submissions, ensuring they meet the required criteria. Work with and support the team of Digital Learning Consultants, other DLA’s (where appropriate) and Learning Specialists to ensure learners receive feedback on submissions and responses to queries within SLA. Be available on Zendesk online chat during working hours and provide prompt responses to learner queries. Monitor the Digital Apprenticeships mailbox and respond to any queries relating to your programme area. Professionally engage with both employers and learners to update on progress and plan for realistic progression. Deal with customer questions and complaints in line with Company policy where appropriate. About you: Excellent verbal and written communication skills Ability to engage and motivate learners remotely Self-motivated with a customer centric focus Strong planning and organising skills Ability to solve problems using experience and knowledge to overcome barriers Desire to learn and develop Safeguarding QA is committed to safeguarding and promoting the welfare of children, young people and adults with care and support needs. We hold the expectation that all staff share this commitment in creating a safe and inclusive environment and as an organization, we comply with relevant legislation and best practices in safeguarding and safe recruitment. This post is exempt from the Rehabilitation of Offenders Act 1974 and a comprehensive screening process will be undertaken on successful applicants including: an enhanced disclosure check Child Barring list check qualification checks online checks medical fitness identity and right to work All applicants will be required to provide two references covering the previous three years and a Criminal Declaration form must be completed and returned ahead of interview. We look forward to welcoming dedicated individuals who share our commitment to safety and well-being.
HOMEBASED

Data and Software lecturer

Ref. : 1000008365
Home Based
Other
Data and Software lecturer Home based About our role: As a Lecturer in the Degree Apprenticeship team in QAA you will be working with learners that are studying alongside full-time work to develop themselves in their professional specialism. We teach using Blended Learning, which means that our Lecturers support learners through the development of online content and activities, remote interactive sessions (e.g. WebEx or discussion forums) and in live-online or Face-to-Face workshop. Key Responsibilities To design and take ownership for multiple modules on the Degree Apprenticeship programmes, and to contribute to the delivery of high quality learning. This will include online support throughout the programme and delivery of a series of face-to-face live online workshops Development of course materials for a number of modules, including video for online learning, exercises, slides and assessments To contribute to the wider team activities on assessment and teaching as required. To make an active contribution to ensure this programme continues to improve, and that all Skills & Abilities Subject Areas (suggested in the Software and Data area but not limited to) Software Coding and Programming experience (Python experience essential) Full stack / Web development Automation in software development Flask Django DevOps Data Machine learning SQL Data Visualisation - Power BI Data Analytics / Statistics Your Qualifications and Knowledge Essential: A post-graduate degree (MSc) Subject specific qualifications Desirable: PhD Teaching qualification Excellent, detailed knowledge of more than one topic within the required subject areas Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education Understanding of equality and diversity issues
TBC

Computing Lecturer

Ref. : 1000008441
Home Based
Other
Computing Lecturer Home based Job Purpose As a Lecturer in the Degree Apprenticeship team in QAA you will be working with learners that are studying alongside full-time work to develop themselves in their professional specialism. We teach using Blended Learning, which means that our Lecturers support learners through the development of online content and activities, remote interactive sessions (e.g. WebEx or discussion forums) and in live-online or Face-to-Face workshop. The role of a Lecturer includes delivery of workshops, marking and module leadership. Role Responsibilities: To design and take ownership for multiple modules on the Degree Apprenticeship programmes, and to contribute to the delivery of high quality learning. This will include online support throughout the programme and delivery of a series of face-to-face live online workshops Development of course materials for a number of modules, including video for online learning, exercises, slides and assessments To contribute to the wider team activities on assessment and teaching as required. To make an active contribution to ensure continual programme improvements, and that all apprentices receive a high quality learning experience. Act as moderator and peer reviewer for other modules on a termly basis. Feedback from apprentices in evaluations judge the quality of learning to be “very satisfied” or “satisfied”, using the Satisfaction score calculation to ensure a target of a minimum of 90% is achieved. Teaching and learning practice are consistently judged to be ‘good’ or ‘ outstanding’ as part of the regular peer observations of teaching and learning. Your Experience/Skills Essential Qualifications: A post-graduate degree (MSc or similar) A teaching qualification or a desire to obtain one, preferably Fellowship of the Higher Education Academy Subject specific qualifications Desirable Qualifications: PhD or working towards one Teaching qualifications Ability to deliver practical and engaging teaching and learning sessions. Industry experience within subject area. Excellent, detailed knowledge of more than one topic within the required subject areas (e.g. IT PM, Computer Science, Business & Tech, Data Science). Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education. Understanding of equity and diversity issues.
B5 4UA

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