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Number of results: 10 vacancy(s) 
  • 1 



Learner Support Specialist

Add this vacancy to selection: Learner Support Specialist (1000009184)
  • Ref. : 1000009184
  • Home Based
  • Other
  • Learner Support Specialist Home based 12 months contract In this role you will offer guidance and support to enable neurodivergent/disabled learners to achieve their aspirations and goals. You will deliver effective teaching, learning and support to learners for qualifications and their individual needs. Role Responsibilities: Deliver engaging and creative interventions to meet the needs of the learner  Deliver interventions and evidence progression monthly to meet the targets set for the learner   Motivate, enable and drive learners to achieve their goals through outstanding support  Create individual learner support plans tailored to learner’s individual needs  Provide continuous and effective Information, Advice & Guidance to learners  Provide pastoral support to learners as required to aid engagement & achievement of their goals  Deliver and facilitate teaching, learning and support that encourages accelerated and autonomous learning  Support the learning process through the development of learning resources.   Engage and coach the learner’s Employer/Mentor to provide adequate support and guidance   Your Experience/Skills: Experience of and a proven track record of working with SEND learners   Proven track record of consistently exceeding targets  Knowledge and/or experience in Safeguarding  Understanding of the SEND Code of Practice 
  • HOMEBASED

Bid Writer

Add this vacancy to selection: Bid Writer (1000008681)
  • 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

Project Management Degree Apprenticeships Lecturer

Add this vacancy to selection: Project Management Degree Apprenticeships Lecturer (1000008365)
  • Ref. : 1000008365
  • Home Based
  • Other
  • Project Management Degree Apprenticeships Lecturer Home based 18 months contract 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.  Skills & Abilities  PGCE/ Associate HEA membership is highly desirable Undergraduate Degree or equivalent experience Relevant Masters – Essential PM Qualification (PRINCE2/PMQ/AgilePM) - Essential Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education 
  • TBC

Senior Learning Design Consultant - AI

Add this vacancy to selection: Senior Learning Design Consultant - AI (1000009081)
  • 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

Senior Service Delivery Specialist

Add this vacancy to selection: Senior Service Delivery Specialist (1000009082)
  • Ref. : 1000009082
  • Home Based
  • Other
  • Senior Service Delivery Specialist (programme coordinator)2 Permanent Location: Cheltenham This role requires holding or passing and maintaining security clearance for the duration of your employment in the role. In this role you will act as the first point of contact and providing high quality support to specified clients. Your focus will be to co-ordinate internal resources to ensure key tasks are delivered in line with required learning outcomes and in accordance with contract terms. Key Responsibilities:  Create and maintain programme plans to track progress and ensure successful completion of training programmes. Manage and prioritise coordination activities to meet internal and external requirements. Act as main point of contact for training programme for internal and external stakeholders. Maintain excellence in coordination activities including answering stakeholder queries, onboarding learners, managing commercials and evaluating training programme feedback. Collate, analyse and report programme feedback data. Present service delivery reviews to clients.   Key Skills / Experience Required:  Building and maintaining client relationships. Extensive cross-functional collaboration skills. Effective soft skills and emotional intelligence facilitating effective written and verbal communication. Comfortable presenting to clients both face to face and virtually. Proficient in analysing, evaluating and reporting data. Microsoft office (including Excel and PowerPoint). #LifeatQA #QA #theresnoplacelikeqa #LI-TH1 #LI-hybrid #hiring About QA:  QA is one of the largest learning services organisations in the UK, developing skills and capabilities for everyone from apprentices to business leaders. Headquartered in London, with a nationwide network of state-of-the-art training centres, we deliver innovative and cutting-edge skills solutions to UK organisations.
  • HOMEBASED

Digital Product Management and Business Analysis (L4) Apprenticeship Trainer

Add this vacancy to selection: Digital Product Management and Business Analysis (L4) Apprenticeship Trainer (1000009068)
  • 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

Data and AI Trainer

Add this vacancy to selection: Data and AI Trainer (1000008908)
  • 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

AI Engineering Trainer

Add this vacancy to selection: AI Engineering Trainer  (1000008366)
  • 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

Client Relationship Manager - Apprenticeships Glasgow

Add this vacancy to selection: Client Relationship Manager - Apprenticeships Glasgow (1000008455)
  • Ref. : 1000008455
  • Glasgow
  • Glasgow
  • The role: Client Relationship Manager -Glasgow Location: Glasgow G2 5AH, Hybrid – 3 days in the office & 2 days at home Contract: Full time, 37.5 hrs per week Package: competitive base salary with an uncapped commission and incentive-based rewards Joining QA as a Client Relationship Manager, you’ll be part of a team with a mission to build and grow relationships with new and existing clients across a breadth of industries. You'll be at the forefront of selling our industry-leading apprenticeship programmesin IT and the digital space,helping businesses upskill their current workforce or hire fresh new talent through our career-starting pathways. QA is one of the UK’s leading digital and tech apprenticeship providers, and in this role, you'll be offering a wide range of impactful solutions. This includes not only our apprenticeships but also access to the QA platform and progression opportunities including graduate apprenticeships through our exclusive university partnership with UWS. You'll apply best-in-class sales techniques and receive ongoing coaching and mentoring on the job. We believe in growing together—our team is built on a collaborative, supportive culture where people help each other develop and celebrate each other's wins. Join a team where high performance meets heart, and where you can truly thrive in a role that makes a difference.  A ‘day in the life’ of a Client Relationship Manager Identify and liaise with key stakeholders/decision makers for both new & existing customers/partners by telephone and email in order to maximise long-term sales opportunities Prospect for new customers/partners whilst maintaining and growing your existing customer/partner base Effectively facilitate client meetings to discuss relevant solutions in order to maximise sales opportunities Prepare quotes and proposals to deliver high quality presentations in line with customer/partner requirements Input, analyse and interpret all relevant sales management information to strategically prioritise your sales pipeline/cycle in order to consistently achieve and exceed targets.
  • G2 5AH

Computing Lecturer

Add this vacancy to selection: Computing Lecturer (1000008441)
  • 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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