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- Tasks: Teach Data Science & Machine Learning, guiding students to achieve their potential.
- Company: Join QA, the UK's largest tech training company with a vibrant culture.
- Benefits: Enjoy competitive pay, annual reviews, and access to employee discounts.
- Why this job: Make a real impact on learners' lives while working with cutting-edge tech.
- Qualifications: Experience in AWS, Hadoop, Spark, and a teaching qualification preferred.
- Other info: Embrace diversity in a supportive environment with excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an experienced Lecturer in Data Science & Machine Learning to join our team. This is a full‑time position in a dynamic organisation where you can be proud and feel rewarded watching learners succeed.
Your focus:
- Ensuring/supporting/managing students’ progression and achievement.
- Planning, preparing, teaching modules both online and in a classroom, using innovative delivery methods and a cutting‑edge curriculum.
- Providing guidance and support to our students and powering each student’s potential.
Applicants are required to have:
- AWS, Hadoop, Spark to analyse a real‑world dataset.
- Deep Learning on AWS.
- MLOps.
Additional Requirements:
- A teaching qualification and/or HEA accreditation/membership would be a distinct advantage.
What we can give you:
- Access to innovative delivery methods and exciting course material.
- A chance to work with like‑minded educational enthusiasts.
- A chance to share and learn delivery best practice and industry‑leading knowledge.
- Specialist coaching and support from your education leaders.
How we’ll help with finance matters:
In addition to pension, group income protection and life assurance, QA offer an annual pay review, access to our employee discounts benefit hub, season ticket loan, tech scheme and an employee referral scheme.
Personal growth:
Learning and opportunity are 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). You can also delve deep into our world‑class digital learning content from Circus Street and Cloud Academy on a variety of tech and business topics, or enrol in a degree or master’s programme to enhance your skillset or learn new things.
Our people:
We are an equal‑opportunity employer focused on a welcoming and inclusive environment. We embrace diversity and support the career growth of everyone, regardless of gender, age, ethnicity, beliefs, sexual preference, disability or care status. We’re proud of the progress we’ve achieved and celebrate our diversity – our rankings on The Inclusive Top 50 UK Employers List attest to this. We are a Disability Confident employer. All applicants with a disability who fulfil the role criteria will be progressed to the next stage.
About QA:
QA is the largest tech training company in the UK and the fastest‑growing in the US, partnering with 96% of FTSE and most Fortune 500 companies. We have served over 4,000 customers and 1+ million learners since 1985. Our learning solutions connect learners across siloes, create continuity, and feature cohort‐based modalities to apply skills at pace and scale. QA is headquartered in London and New York. Learn more at QA.com.
Next steps:
Hit the apply button and register on our QA website to fill out our quick and easy application form. You can also find Tim Heaney on LinkedIn or email him at tim.heaney@qa.com for more information.
Lecturer degree apprenticeships at QA – South West, Gloucestershire, Cheltenham (Delta House) employer: Victrays
Contact Detail:
Victrays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer degree apprenticeships at QA – South West, Gloucestershire, Cheltenham (Delta House)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at QA on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your teaching methods and tech skills. Be ready to discuss how you’d engage students with Data Science & Machine Learning – show them your passion!
✨Tip Number 3
Don’t just wing it! Research QA’s values and their approach to education. Tailor your answers to reflect how you align with their mission of supporting student success.
✨Tip Number 4
Apply through our website! It’s quick and easy, plus you’ll be in the right place to get updates about your application. Don’t miss out on this opportunity!
We think you need these skills to ace Lecturer degree apprenticeships at QA – South West, Gloucestershire, Cheltenham (Delta House)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Lecturer in Data Science & Machine Learning. Highlight your relevant experience with AWS, Hadoop, and Spark, and don’t forget to mention any teaching qualifications or HEA memberships you have!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about teaching and how you can support students' progression. Be sure to mention your innovative teaching methods and how they align with our cutting-edge curriculum.
Showcase Your Achievements: When filling out your application, don’t just list your responsibilities. Showcase your achievements! Talk about how you've helped students succeed or any projects you've led that demonstrate your expertise in data science and machine learning.
Apply Through Our Website: We encourage you to apply through our QA website for a smooth application process. It’s quick and easy, and you’ll be one step closer to joining our dynamic team of educational enthusiasts!
How to prepare for a job interview at Victrays
✨Know Your Stuff
Make sure you brush up on your knowledge of Data Science and Machine Learning, especially with tools like AWS, Hadoop, and Spark. Be ready to discuss how you've used these technologies in real-world scenarios, as this will show your practical experience and understanding.
✨Showcase Your Teaching Style
Prepare to talk about your teaching methods and how you engage students. Think of examples where you've used innovative delivery methods or cutting-edge curriculum to enhance learning. This will demonstrate your ability to connect with learners and support their progression.
✨Emphasise Your Support Skills
Highlight your experience in providing guidance and support to students. Share specific instances where you've helped students overcome challenges or achieve their goals. This will show that you're not just a lecturer but a mentor who genuinely cares about student success.
✨Be Ready for Questions
Anticipate questions related to MLOps and Deep Learning on AWS. Prepare thoughtful responses that reflect your expertise and passion for the subject. Also, think about questions you can ask them about their teaching culture and opportunities for professional development.
