Lecturer degree apprenticeships at QA – South West, Gloucestershire, Cheltenham (Delta House)

Victrays; Cheltenham; Hybrid; GBP 40,000 - 60,000; Part time

Job summary

A leading education provider seeks a Lecturer in Data Science & Machine Learning for part-time teaching positions. The successful candidate will manage students' progression, plan and teach modules both online and face-to-face, and provide guidance to empower student potential. Applicants should have a strong background in AWS, Hadoop, Spark, and MLOps, alongside a teaching qualification or HEA accreditation. Join a dynamic organization focused on innovative education and personal growth.

Benefits

Access to innovative delivery methods

Employee discounts

Annual pay review

Specialist coaching and support

Qualifications

• Experience teaching Data Science and Machine Learning subjects.
• Ability to manage students’ progression and achievement.
• Familiarity with online and face-to-face teaching methods.

Responsibilities

• Plan and prepare teaching modules.
• Provide guidance and support to students.
• Evaluate student performance and provide feedback.

Skills

AWS

Hadoop

Spark

Deep Learning

MLOps

Education

Teaching qualification or HEA accreditation

Job description

General information

Reference

1000008502

Talent pool

Delivery – Group Learning

Title

Contract type

QA Ltd Permanent

Job advert

Lecturer in Data Science & Machine Learning

QA Higher Education – We have sessional / part-time positions.

Face-to-Face (F2F) teaching. There may be instances where sessions are conducted via online platforms.

Location: London

Are you an experienced Lecturer in Data Science & Machine Learning looking for a full time position within a dynamic organisation, where you can be proud and feel rewarded watching our learners succeed?

We have an exciting opportunity for you to be part of our growing and expanding programme of delivery.

Your focus:

• As a Lecturer your responsibilities will be, inter alia:
• Ensuring / supporting / managing students’ progression and achievement.
• Planning, preparing, teaching modules both online and in a classroom, setting using our innovative delivery methods and 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:

You may have a teaching qualification and / or HEA accreditation / membership, which would be a distinct advantage.

What we can give you:

• Access toinnovativedelivery methods,and exciting course material
• A chance to work with like‑minded educational enthusiasts
• A chance to share and learn delivery best practice and industryleadingknowledge
• Specialist coaching and support from your education leaders

#LifeAtQA

#highereducation

#TH1

#london

What We’ll Do For You!

How we’ll help with finance matters

In addition to pension, group income protection and life assurance,QAare offering you an annual pay review, access to our employee discounts benefit hub with hundreds of deals and savings on goods and experiences, season ticket loan, tech scheme and an employee referral scheme.

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 todevelop your skillson ourQAauthored coursesin the latest tech (you’ll get3 training days/year to do this). You can also delve deep into ourworld‑class digital learning contentfromCircus StreetandCloud Academyon a variety of tech and business topics. Or perhaps you’d like toenrolon aDegreeorMasters programmeto 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 preference, or if you are disabled or a carer, we welcome you and the alternative 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 – our rankings onThe Inclusive Top 50 UKEmployers List are a testament to this.

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.

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 since 1985.

We believe skills alone aren’t enough, but need to be applied back to the business in order to effect change. We do this through tailored learning programmes that connect learning across an organisation’s siloes, create continuity for learners, and feature collaborative, cohort‑based modalities to apply skills at pace and at scale. Our unique end‑to‑end learning solution draws from deep expertise across apprenticeships and instructor‑led training, and self‑paced learning.

QA is headquartered in London and New York. Learn more at QA.com

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. If you’d like to hear more about the role you can find me on LinkedIn –Tim Heaney or email me: [emailprotected] – happy to help!

#LifeatQA #QA #theresnoplacelikeqa #LI-TH1

Vacancy location

Location

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