QA - Search results(8 vacancies/1)-Profession : Delivery

Data Apprenticeship Tutor

Ref. : 1000008554
London
London
Data Apprenticeship Tutor Home based/travel to site if required Job Summery Teaching Data Apprenticeship programmes at Level 3 & 4 as part of our programme delivery, aimed at empowering individuals and organisations to unlock the power of data. You’ll design and deliver cutting-edge training programs in database design and visualisations using industry standard software. Finally, you’ll get the opportunity to collaborate with subject matter experts to develop and refine learning content that empowers learners to excel in the evolving data landscape. Role Responsibilities: Craft and deliver immersive and cutting-edge experiences across the Data Science curriculum, captivating learners from diverse backgrounds and organisations. Collaborate and innovate with subject matter experts to develop dynamic and engaging courses and other high-impact learning assets that drive growth. Provide in-depth expert knowledge in your specialist area, offering insights cross functionally when required. Champion quality and innovation by upholding the highest standards of excellence and drive innovation as a key ambassador for our renowned training programs. Fuel your growth by taking ownership of your professional development, ensuring your expertise remains relevant and cutting-edge in the ever[1]evolving field of data science – 3 days of free training on any of our courses available Your Experience/Skills: Experience in using data tools such as: PowerBi, Tableau, Data Storytelling, SQL Proficient in the use of programming languages: Python. SQL Experience in using and good knowledge of: Data manipulation & visualisations, Data modelling, Data architecture and cloud, Data analytics and statistics Desirable knowledge of apprenticeships and work-based learning Desirable knowledge of the Ofsted Common Inspection Framework Desirable industry experience with teaching/ coaching experience Passion for lifelong learning and development as a profession
TBC

Project Management Degree Apprenticeships Lecturer

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

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

Software Engineering Lecturer

Ref. : 1000008998
Birmingham (5th Floor)
Birmingham
Software Engineering Lecturer Home based 12 months Fixed term 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. To make an active contribution to ensure this programme continues to improve, and that all Skills & Abilities Excellent, detailed knowledge of more than one topic within the required subject areas including Software Engineering. Confident in Python programming Experience of Agile Software Development Familiar with the DevOps CI/CD pipeline Aware of broader Software Engineering Methodologies and structural approaches Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education. Understanding of equity and diversity issues. Your Qualifications and Knowledge Essential: A post-graduate degree (MSc) Subject specific qualifications Desirable: PhD Teaching qualification
B5 4UA

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

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

PMQ Project Management Trainer

Ref. : 1000008481
London (International House)
London
Project Management Trainer Location: London OR South east of England Hybrid/remote (60-70% remote) Employment Type: Full-time / Permanent Are you a Project Management Trainer looking for that next step? Or maybe you’re an established Project Manager looking for a rewarding career change in training? If you want to be part of a genuinely supportive and professional environment, teaching what you are most passionate about, then QA could be the company you’re looking to join! We’re the UKs leading IT digital skills provider – experts in upskilling, re-skilling and other talent needs required by established public sector organisations, enterprises, and higher education universities! What’s my purpose? When you join QA, your pivotal role will be to simply deliver high quality courses to our learners! This could be in a classroom or virtual setting, but we need enthusiasm and interactive courses to help get the best out of those we’re teaching! What responsibilities would I have? You’ll be delivering core PPM courses to practitioner level that is APM PMQ You’ll support us with customization of learning topics or programmes, offering your subject level expertise and utilising it You’ll contribute to QA’s success by reviewing learner evaluations and finding areas for improvement You will be providing learners with post-course support through various avenues of contact where necessary Like with most roles, you’ll need to undertake some administrative tasks too! What do I need to apply and succeed? You’ll be teaching project management courses, so we’d ask you have a APM PMQ qualification OR People Cert's Managing Successful Programmes You’ll be great in this role if you have a technical background in project management – You’ll have been a Project Manager at one point in your career! Although it would be perfect if you had training experience already, we’re all about the desire to succeed so this is preferred but not essential by any means!
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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