QA - Search results(4 vacancies/1)-Profile : Delivery-->Group Learning Technical

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

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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