Data and AI Trainer in London

Data and AI Trainer in London

London Full-Time 36000 - 60000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Deliver engaging training in Data Science, GenAI, and Python to diverse clients.
  • Company: Join QA Ltd, a leader in innovative tech training and education.
  • Benefits: Enjoy 27 days holiday, wellness perks, and flexible remote work options.
  • Other info: Be part of an inclusive team that values continuous professional development.
  • Why this job: Shape the future of learning while empowering others with your expertise.
  • Qualifications: Desirable degree in Mathematics and knowledge of GenAI and Python required.

The predicted salary is between 36000 - 60000 Β£ per year.

General information

Reference

1000008908

Vacancy details

Talent pool

Delivery - Group Learning Technical

Title

Data and AI Trainer

Contract type

QA Ltd Permanent

Job advert

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

Proficientin 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

What We\'ll Do For You!

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 holidayeach year,holiday buying scheme, Medicash plan, Gympass, Cycle to Work scheme, Employee AssistanceProgramme, and2 daysper yearcharity leave.


Our people
We are anequal opportunity employer, focused on promoting a welcoming and inclusive environment.

We are proud to be aDisability Confident employer.All applicants with a disability who fulfil the role criteria will be progressed to the next stage of the process. Please let us know what reasonable adjustment, if any, you require.

If this is what you’re looking for, here are the next steps:

Hit the apply button and register on ourQAwebsite to fill out our quick and easy application form.

Vacancy location

Location

UK, Other, Site Based

Handled by

Handled by

Vidita Kabbe - QA

Primary handler

Vidita Kabbe - QA

Last name

Kabbe - QA

Forename

Vidita

Email

Vidita.Kabbe@qa.com

Job Description

Attachment

Data AI Senior Technical Learning Specialist - New JD Jun25.docx (100 Kb) #J-18808-Ljbffr

Data and AI Trainer in London employer: Futureshaper.com

At QA Ltd, we pride ourselves on being an exceptional employer that champions professional growth and a supportive work culture. With a flexible 70% remote working arrangement and opportunities to engage with diverse clients across major UK cities, our Data and AI Trainers benefit from a comprehensive benefits package, including generous holiday allowances and wellness initiatives. Join us to be part of a forward-thinking team that values innovation in education and empowers you to stay at the forefront of technology while making a meaningful impact in learners' lives.

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Contact Details:

Futureshaper.com Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data and AI Trainer in London

✨Tip Number 1

Familiarise yourself with the latest trends in Data Science and GenAI. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Network with professionals in the Data Science and AI community. Attend meetups, webinars, or conferences where you can connect with potential colleagues or mentors. Building these relationships can lead to valuable insights and even job referrals.

✨Tip Number 3

Prepare to showcase your training delivery skills. Consider creating a short presentation or workshop that highlights your ability to explain complex concepts clearly. This will be particularly useful if you're asked to demonstrate your teaching style during the interview process.

✨Tip Number 4

Research QA Ltd's training programmes and methodologies. Understanding their approach will allow you to tailor your discussions and show how your expertise aligns with their goals. This preparation can set you apart from other candidates.

We think you need these skills to ace Data and AI Trainer in London

Presentation Skills
Facilitation Skills
Coaching Skills
Technical Communication
GenAI Knowledge
Machine Learning Techniques
Python Programming

Some tips for your application 🫑

Tailor Your CV:Make sure your CV highlights your experience in Data Science, GenAI, and Python. Include specific examples of training delivery and any relevant certifications to demonstrate your expertise.

Craft a Compelling Cover Letter:In your cover letter, express your passion for education and technology. Mention how your skills align with the role's requirements and provide examples of how you've empowered learners in the past.

Showcase Your Technical Skills:Clearly outline your proficiency in GenAI concepts, machine learning techniques, and Python programming. If you have experience with AI frameworks or cloud platforms, be sure to include that as well.

Highlight Continuous Learning:Demonstrate your commitment to professional development by mentioning any recent courses, certifications, or industry trends you are following. This shows your dedication to staying current in the field.

How to prepare for a job interview at Futureshaper.com

✨Showcase Your Technical Expertise

Be prepared to discuss your knowledge of GenAI, machine learning, and Python in detail. Highlight any hands-on experience with AI frameworks like TensorFlow or PyTorch, as well as your familiarity with cloud platforms such as AWS, GCP, or Azure.

✨Demonstrate Your Training Skills

Since the role involves delivering training, be ready to showcase your presentation and facilitation skills. You might even consider preparing a short mock training session to demonstrate how you engage diverse audiences effectively.

✨Emphasise Continuous Learning

Discuss your commitment to professional development and staying updated with industry trends. Mention any relevant certifications or courses you've completed recently, as this shows your passion for education and technology.

✨Prepare for Scenario-Based Questions

Expect questions that assess how you would handle real-world training scenarios. Think about examples where you've successfully adapted your training style to meet the needs of different learners, and be ready to share these experiences.