Machine Learning and Data Engineer Tutor

BPP Holdings
united kingdom
4 days ago
Create job alert

The following content displays a map of the jobs location - Remote

Machine Learning and Data Engineering Tutor and Marker

Machine Learning and Data Engineering Tutor and Marker

Here at BPP Education Group we pride ourselves on providing the best possible learner experience, with our specialised team of tutors working closely with our students to ensure they are getting the most from our courses.

An opportunity has arisen for an insightful and knowledgeable tutor to join the team as a Machine Learning and Data Engineering Tutor and Marker. The role of the tutor is to deliver high-quality teaching and learning at undergraduate and postgraduate levels, that reflect the current skills and capability requirements of corporate employers. Tutors must have significant professional and academic experience in their discipline, as well as the enthusiasm to pass their passion for their specialist area on to students, learners, clients and peers.

Why work for BPP Education Group?

It is a great time to join BPP Education Group as we have enjoyed a sustained period of growth, offering a wealth of opportunities to our staff, students and clients. There are many more great reasons to join BPP Education Group such as:

  • Brilliantly, you can study any of BPP’s courses for free – be it a professional qualification or full degree.
  • With hybrid working available, you’ll be able to split your time between one of our centres and wherever you choose to call home.
  • We also provide a generous annual leave entitlement of 30 days, and there’s a rewards package that includes retail discounts and much more.

Other key benefits include our Group Personal Pension Plan, dedicated private healthcare and dental plans that offer additional assurance to look after you and your family.

What you’ll be doing

For this role, we are interested in hearing from practitioners with teaching experience in higher education, who can teach a range of subjects across our apprenticeship programmes. These could include:

  • Level 6 Machine Learning and AI Engineer
  • BSc in Data Science
  • MSc in Applied Data Analytics

We are particularly looking for individuals with experience and expertise to support in the following areas:

  • Python Programming & Command Line Scripting
  • Networking & Cyber Security
  • Production Environment

Key Responsibilities

Tutors could be asked to undertake a variety of duties including curriculum and content design, assessment development, marking, supervision, student cohort management, as well as teaching. Teaching of our apprenticeship provision is mostly delivered online via the Adobe Connect platform. Our teaching hours are predominantly Monday – Friday (9.00am – 5.00pm).

Skills, experience & qualifications required - Essential

Qualifications

  • For those not currently holding either a teaching qualification or a Fellowship of the HEA membership, a commitment to achieving these through BPP's PGCLT or HEA scheme is essential.
  • A commitment to engage with our Learning and Teaching CPD resources.

Experience

  • Relevant professional experience in industry, and relevant academic experience working in HE.

Skills

  • Excellent command of the English language;
  • Excellent written and verbal communication skills;
  • Excellent presentation skills;
  • The ability to plan, organise and prioritise workload;
  • The ability to work well in a team and be collaborative;
  • Commerciality;
  • Digital literacy;
  • Self-motivation;
  • Act on feedback.

Values

  • Everybody Matters
  • Trust and Respect;
  • Stronger Together;
  • Student, Learner and Client Centric.

Skills, experience & qualifications required - Desirable

Qualifications

  • Other industry related professional accreditations and/or certifications.

Experience

  • Experience teaching online.
  • Experience using Adobe Connect.

Pre-employment Checks

  • Enhanced DBS Check
  • Academic and professional certifications checks

BPP actively promotes equality of opportunity for all with the right mix of talent, skills and potential, and welcomes applications from a wide range of candidates. BPP will select candidates for interview based on their skills, qualifications and experience.

#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer, AWS Generative AI Innovation Center

Lead Data Engineer

Data Analyst - Graduate

Data Engineer

Data Engineer - Reigate

Data Science Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.