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Principal Data & AI Trainer Location: Home Based with required travel to QA centres and client sites Your Role: As an expert in Artificial Intelligence and Data Science, you’ll design and deliver high impact learning courses that simplify complex technical concepts and make them accessible and engaging for our learners. You’ll work closely with clients to understand their business needs and capability gaps, translating them into tailored, scalable multi-modal blended learning solutions with your expertise in Python, ML models, cloud platforms and AI frameworks. As a subject matter expert, you’ll collaborate with cross functional teams, contribute insights to course and programme design, deliver exceptional learning experiences, achieving consistently high satisfaction scores across virtual and in person delivery. If you’re passionate about developing others, energised by emerging technologies, and excited to combine your technical knowledge with creative learning design, this role offers the opportunity to make a real impact while continuously growing your own expertise to stay at the forefront of industry trends through ongoing professional development, vendor certifications and a passion for education Skills and Experience: 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 Learning Design & Development Proven experience designing and developing courses and end to end learning programmes Ability to identify and develop objectives into clear, measurable learning outcomes Demonstrated experience creating high quality and engaging courseware Client Engagement Proven experience engaging directly with clients to understand business needs Confident to constructively guide clients toward effective learning solutions Ability to advise on learning solutions, learning type, delivery channels, and programme structure based on different organisational cultures and maturity levels AI & Machine Learning Expertise Deep understanding of AI frameworks, concepts, and real-world applications, including strong capability in prompt engineering, LLM optimisation, multimodal AI and emerging agentic AI systems (reasoning, planning, and tool‑using AI agents) Hands on experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems Programming & Frameworks Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models. Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits Experience designing or working with scalable data architectures and distributed data processing frameworks such as Apache Spark or Databricks Familiarity with MLOps practices and tools is advantageous. Cloud & Platform Knowledge Working familiarity with modern cloud ecosystems (AWS, Azure, GCP) including AI/ML services, data lake architectures, and cloud native tooling Experience collaborating with AI/ML engineers, data scientists, software developers, and cross-functional technical teams Wider Knowledge Awareness of data governance, ethics, compliance, and frameworks for responsible AI use Desirable experience contributing to or managing AI development projects aligned to business strategy and regulatory considerations Qualifications: Desirable degree in Mathematics or related field Desirable MSc/PhD in Data Science, AI, Computer Science, or relevant certifications Desirable relevant cloud vendor (GCP, AWS, Azure) certifications Desirable NVIDIA Deep Learning institute Certifications
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London, GBR
London, GBR
Glasgow, GBR
, GBR
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
Proven experience designing and developing courses and end to end learning programmes
Ability to identify and develop objectives into clear, measurable learning outcomes
Demonstrated experience creating high quality and engaging courseware
Proven experience engaging directly with clients to understand business needs
Confident to constructively guide clients toward effective learning solutions
Ability to advise on learning solutions, learning type, delivery channels, and programme structure based on different organisational cultures and maturity levels
Deep understanding of AI frameworks, concepts, and real-world applications, including strong capability in prompt engineering, LLM optimisation, multimodal AI and emerging agentic AI systems (reasoning, planning, and tool‑using AI agents)
Hands on experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems
Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models.
Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits
Experience designing or working with scalable data architectures and distributed data processing frameworks such as Apache Spark or Databricks
Familiarity with MLOps practices and tools is advantageous.
Working familiarity with modern cloud ecosystems (AWS, Azure, GCP) including AI/ML services, data lake architectures, and cloud native tooling
Experience collaborating with AI/ML engineers, data scientists, software developers, and cross-functional technical teams
Awareness of data governance, ethics, compliance, and frameworks for responsible AI use
Desirable experience contributing to or managing AI development projects aligned to business strategy and regulatory considerations
Desirable degree in Mathematics or related field
Desirable MSc/PhD in Data Science, AI, Computer Science, or relevant certifications
Desirable relevant cloud vendor (GCP, AWS, Azure) certifications
Desirable NVIDIA Deep Learning institute Certifications
About You
Principal Data & AI Trainer Location: Home Based with required travel to QA centres and client sites Your Role: As an expert in Artificial Intelligence and Data Science, you’ll design and deliver high impact learning courses that simplify complex technical concepts and make them accessible and engaging for our learners. You’ll work closely with clients to understand their business needs and capability gaps, translating them into tailored, scalable multi-modal blended learning solutions with your expertise in Python, ML models, cloud platforms and AI frameworks. As a subject matter expert, you’ll collaborate with cross functional teams, contribute insights to course and programme design, deliver exceptional learning experiences, achieving consistently high satisfaction scores across virtual and in person delivery. If you’re passionate about developing others, energised by emerging technologies, and excited to combine your technical knowledge with creative learning design, this role offers the opportunity to make a real impact while continuously growing your own expertise to stay at the forefront of industry trends through ongoing professional development, vendor certifications and a passion for education Skills and Experience: 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 Learning Design & Development Proven experience designing and developing courses and end to end learning programmes Ability to identify and develop objectives into clear, measurable learning outcomes Demonstrated experience creating high quality and engaging courseware Client Engagement Proven experience engaging directly with clients to understand business needs Confident to constructively guide clients toward effective learning solutions Ability to advise on learning solutions, learning type, delivery channels, and programme structure based on different organisational cultures and maturity levels AI & Machine Learning Expertise Deep understanding of AI frameworks, concepts, and real-world applications, including strong capability in prompt engineering, LLM optimisation, multimodal AI and emerging agentic AI systems (reasoning, planning, and tool‑using AI agents) Hands on experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems Programming & Frameworks Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models. Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits Experience designing or working with scalable data architectures and distributed data processing frameworks such as Apache Spark or Databricks Familiarity with MLOps practices and tools is advantageous. Cloud & Platform Knowledge Working familiarity with modern cloud ecosystems (AWS, Azure, GCP) including AI/ML services, data lake architectures, and cloud native tooling Experience collaborating with AI/ML engineers, data scientists, software developers, and cross-functional technical teams Wider Knowledge Awareness of data governance, ethics, compliance, and frameworks for responsible AI use Desirable experience contributing to or managing AI development projects aligned to business strategy and regulatory considerations Qualifications: Desirable degree in Mathematics or related field Desirable MSc/PhD in Data Science, AI, Computer Science, or relevant certifications Desirable relevant cloud vendor (GCP, AWS, Azure) certifications Desirable NVIDIA Deep Learning institute Certifications
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
Proven experience designing and developing courses and end to end learning programmes
Ability to identify and develop objectives into clear, measurable learning outcomes
Demonstrated experience creating high quality and engaging courseware
Proven experience engaging directly with clients to understand business needs
Confident to constructively guide clients toward effective learning solutions
Ability to advise on learning solutions, learning type, delivery channels, and programme structure based on different organisational cultures and maturity levels
Deep understanding of AI frameworks, concepts, and real-world applications, including strong capability in prompt engineering, LLM optimisation, multimodal AI and emerging agentic AI systems (reasoning, planning, and tool‑using AI agents)
Hands on experience applying machine learning techniques, statistical modelling, and generative AI methods to solve complex business problems
Advanced proficiency in Python (including NumPy, Pandas, Scikit-learn), with experience building, training, and deploying ML models.
Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits
Experience designing or working with scalable data architectures and distributed data processing frameworks such as Apache Spark or Databricks
Familiarity with MLOps practices and tools is advantageous.
Working familiarity with modern cloud ecosystems (AWS, Azure, GCP) including AI/ML services, data lake architectures, and cloud native tooling
Experience collaborating with AI/ML engineers, data scientists, software developers, and cross-functional technical teams
Awareness of data governance, ethics, compliance, and frameworks for responsible AI use
Desirable experience contributing to or managing AI development projects aligned to business strategy and regulatory considerations
Desirable degree in Mathematics or related field
Desirable MSc/PhD in Data Science, AI, Computer Science, or relevant certifications
Desirable relevant cloud vendor (GCP, AWS, Azure) certifications
Desirable NVIDIA Deep Learning institute Certifications
About You
About Us
Wellbeing & benefits Your wellbeing matters to us. That’s why we offer benefits designed to help you recharge and thrive, including: 27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays Holiday Buying scheme Medicash plan, Wellhub, Cycle to Work scheme Private Medical Insurance at corporate rates Employee Assistance Programme Employee Discounts Benefit Hub 3 Development days 2 Charity days per year Pension Scheme Early Friday Finish at 4pm Personal growth Learning and opportunity is at the core of what we do - and that applies to you too! You’ll have the unique opportunity to develop your skills on our QA authored courses in the latest tech (you’ll get 3 training days/year to do this). You can also delve deep into our world-class digital learning content on a variety of tech and business topics. Or perhaps you’d like to enrol on a Degree or Masters programme to enhance your skillset or learn new things. Our people We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We embrace diversity, welcome applications from all candidates and aim to support the career growth of everyone. This means no matter what your gender, age, ethnicity, beliefs, or sexual orientation, or if you are disabled or a carer, we welcome you and the different perspectives you bring to our diverse family. We’re proud of the progress we’ve achieved over the last few years to build an inclusive culture and celebrate our diversity. As a Disability Confident Employer, we guarantee that all applicants with a disability who meet the role criteria will progress to the next stage of the process. Please let us know if you require any reasonable adjustments. A little about QA At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners in the last 3 years. Our Mission: We teach the critical AI, technology, digital and Human skills needed to transform and succeed in a changing world. We do this through tailored learning programmes that connect learning across an organisation, create continuity for learners, and feature collaborative, cohort-based modalities to apply skills at pace and at scale. Our unique end-to-end learning solutions draw from deep expertise across Apprenticeships, Instructor-led training, Self-paced Learning and Blended Learning. You can find out more about us at https://www.qa.com/about/careers/
27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays
Holiday Buying scheme
Medicash plan, Wellhub, Cycle to Work scheme
Private UK digital education and skills provider delivering professional training, apprenticeships, higher education, and talent services.
Visit company websiteJobs and hiring trendsFull-time
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Remote
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Private Medical Insurance at corporate rates
Employee Assistance Programme
Employee Discounts Benefit Hub
3 Development days
2 Charity days per year
Pension Scheme
Early Friday Finish at 4pm
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