QA - Search results(11 vacancies/1)-State : Europe-->UK-->Other

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

Client Relationship Director

Ref. : 1000008767
Home Based
Other
Sales – Client Relationship Director Full-Time/Permanent Salary - Competitive Salary + Commission Location - UK Remote About QA Our mission within the Enterprise sales team is to work with our customers to identify areas of growth, areas where we do not currently deliver into and new projects to support customer outcomes. We are wanting to grow Enterprise revenue by 50million. To achieve this goal, we need to supercharge growth and drive new business opportunities into accounts that sit within the Enterprise world. You will be part of the Financial Services, Technology and System Integrators, Vendors, Telco, Infrastructure, Retail and Defence. Key Responsibilities Identify, liaise and influence a range of stakeholders including c-level contacts within customers to maximise high value, long-term sales opportunities and account yield. Prospect for new revenue streams whilst maintaining and growing existing lines of revenue . Develop and nurture relationships with senior stakeholders in order to drive new business streams within existing clients. Effectively direct client scoping meetings with internal and external stakeholders to understand complex customer requirements and create opportunities Prepare and lead large scale bids, proposals and presentations to meet customer requirements with relevant internal SME’s owning the process end to end. Input, analyse and interpret all relevant sales MI data to prioritise your opportunity pipeline and identify account growth opportunity utilising Microsoft Dynamics What You'll' Bring Good communication for internal and external stakeholders up to C suite level Driven and hungry for the sale Dynamic and innovative Willing to challenge the status quo Demonstrable success in sales Sounds great, doesn’t it? And in return we will offer you Sales rewards We have an amazing incentive-based reward on offer on top of an uncapped commission. Our top performers are part of the 110 Club. To join, all you’ll need to do is achieve 110% of your annual target which will see you go on a fantastic all expenses paid VIP trip abroad! Recent destinations include Las Vegas, Miami, New York and Barcelona! To find out more, check out our LinkedIn page for the pictures! Down time Taking time for ourselves is so important these days which is why we dedicate some of our benefits to support your health & wellbeing. These include: 27 days holiday each year, holiday buying scheme, Medicash plan, Gympass, Cycle to Work scheme, Employee Assistance Programme, and 2 days per year charity leave. If this is what you’re looking for, here are the next steps: Hit the apply button and register on our QA website to fill out our quick and easy application form. If you’d like to hear more about the role you can find me on LinkedIn – Giselle Rodrigues or email me: Giselle.Rodrigues@qa.com - happy to help! #LifeatQA #QA #theresnoplacelikeqa #LI-GR1 #LI-hybrid #hiring
HOMEBASED

Learner Retention and Career Coordinator

Ref. : 1000008921
Home Based
Other
Learner Retention and Career Coordinator Location-Remote About the Position: To engage in cross-departmental initiatives targeted at improving learner retention. Engaging with learners and communicating key findings to the wider business enabling QA to develop the tools, skills and information they need to enhance learner retention and overall experience on programme. Role Responsibilities: Provide information, advice and guidance to learners undertaking an apprenticeship with QA, this may be provided one to one or in groups Engage with learners across the apprenticeship journey to understand their experience and any risks to success Manage the relationship with stakeholders across the business, ensuring communication is clear and strong Monitor improvement and change initiatives to ensure agreed objectives are achieved and the intended business benefits are realised Identify common withdrawal and risk themes, ensuring the business has visibility to suitably address through improvement initiatives Identify improvement areas which will have a tangible result on learner retention, using learner data and trend analysis. Manage the Academic Misconduct process ensuring accuracy and clear communication Manage and implement Student / Learner voice initiatives across all programme levels resulting in tangible feedback to support continuous improvement Scope and implement improvement projects to support the wider careers information, advice and guidance strategy Develop and utilise a wide range of resources to support the careers information, advice and guidance offering Provide timely and accurate reporting to all stakeholders Ensure that you deliver outcomes required on a daily, weekly, and monthly basis Your Experience/Skills: Customer service experience essential Apprenticeship experience desirable Information, advice and guidance experience and/or qualification desirable A results orientated individual able to deliver projects and change in a fast paced, growing organisation Analysis skills and experience (desirable) Stakeholder management abilities Customer focused Ability to engage and motivate colleagues Ability to multitask and work under pressure Strong communication skills and abilities to build rapport with colleagues Experience of using Microsoft Office Desired Level 2 Math’s and English or equivalent
SN5 7WZ

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

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

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

Machine Learning and AI Apprenticeship Coach

Ref. : 1000008907
Home Based
Other
Machine Learning and AI Apprenticeship Coach Remote (home-based) Full time, 37.5 hrs per week Job purpose: You will join QA as an apprenticeship coach; your focus will be to provide learners with feedback and support on Data concepts by coaching and mentoring the learners working towards the successful and timely achievement of their apprenticeship programme. Job Description: Coach and support a case-load of learners through their Machine Learning Engineer L6 and/or Artificial Intelligence L7 Apprenticeship. Collaborate with our internal Learning Specialists and course developers to ensure learners successfully achieve their apprenticeship programme on time. Provide clear and detailed written feedback on learning activities and goal completion Support learners online across a variety of modules specifically helping them apply their skills to their current job roles. About you: Recent industry experience working in an AI/ML environment Experience across the following: Python, Statistics, Machine Learning, Generative AI, Data pipelines A technical degree Prior coaching experience or a background in apprenticeships is desirable but not essential Working in a fast paced, highly compliant environment
HOMEBASED

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

Business Analyst Apprenticeship Coach

Ref. : 1000008809
Home Based
Other
Business Analyst Apprenticeship Coach Fully remote QA are the market leader in technology learning & apprenticeship solutions. Our new way of learning draws on both digital and live methods, so you'll have the chance to set your mark through a variety of channels. Digital learning is continually growing and evolving, and we've only just touched the surface of what's possible. We're actively making a difference in other people's lives, and you will be at the heart of that. Our culture echoes this positivity, we know that collectively our ideas will revolutionise learning. We work with the world's biggest brands & companies to give them the competitive edge in the digital world of today. As a Digital Learning Consultant you will be responsible for coaching and mentoring a group of learners working towards the successful and timely achievement of their apprenticeship programme. Key Responsibilities: Coach and support a case-load of learners through their cyber apprenticeship Collaborate with our internal Learning Specialists and course developers to ensure learners successfully achieve their apprenticeship programme on time. Provide clear and detailed written feedback on learning activities and goal completion Support learners online across a variety of modules specifically helping them apply their skills to their current job roles. Skills and Experience Recent industry experience in a BA role (min 5 years) Business modelling and data modelling experience Excellent research and analytical skills Investigation techniques and requirements engineering knowledge and experience Experience in stakeholder management Analysed the structure of a business to determine how it operates and determine its objectives Understanding of the business analysis fundamentals User acceptance testing knowledge and experience
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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