Data & AI Senior Technical Learning Specialist

Data & AI Trainer Location: Home Based with required travel to QA centres and client sites Your 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. You’ll maintain high satisfaction scores, contribute as a subject matter expert, and collaborate across teams to support shared goals and continuous improvement. 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. Key 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 92%+ 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: 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 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 team 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 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 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 Keyboard Shortcuts F9 - Move focus from the edit area to the Footer Toolbar F10 - Move focus from the edit area to the first toolbar button Shift + TAB - Move focus from the edit area to the last toolbar button

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 92%+ 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

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

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 team

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

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.

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

Passion for education, technology, and empowering others through knowledge sharing

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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About You

About Us

What We Offer 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/ Keyboard Shortcuts F9 - Move focus from the edit area to the Footer Toolbar F10 - Move focus from the edit area to the first toolbar button Shift + TAB - Move focus from the edit area to the last toolbar button

27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays