Professional Development Expert - Artificial Intelligence Engineer (Level 6)

Corndel
Remote
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist KTP Associate

Data Scientist KTP Associate - Salford

Data Scientist KTP Associate - Salford

Data Scientist KTP Associate - Salford

Data Scientist KTP Associate - Salford

Data Scientist KTP Associate - Salford

About Corndel

Corndel is a unique, multi award-winning UK management and technology training provider that focuses on delivering the highest quality programmes throughout an employee’s career. We partner with some of the UK’s largest and most exciting businesses to help drive organisational and personal performance through transformational learning. Our vision is to shape a world where everyone is empowered to be their professional best. We are one of the fastest growing companies in the UK and provide a great platform for proactive and motivated individuals to take the next exciting step in their career. You will be joining an organisation with a fun, entrepreneurial and supportive environment, providing fulfilling work and an open, informal culture.

The Role:

Corndel is seeking exceptional individuals to join our Professional Development Expert (PDE) Team to deliver first class coaching and training for ourLevel 6 AI Engineer programme.To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecycle—from business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation.

Comfortable with key ML frameworks (such asScikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments

To be successful in this role you must have hands-on experience designing and deploying ML models in industry—ideally within agile or cross-functional teams. Understands what it takes to build and maintain scalable, ethical, and production-ready AI systems. Can share personal stories of both success and failure in deploying ML, helping learners understand real-world challenges like stakeholder alignment, data quality, model drift, or technical debt in pipelines. Ideally, has worked in environments where regulatory, ethical, and governance considerations were key (e.g., finance, healthcare, public sector), with experience navigating organisational change, risk, and compliance.

You will join a company which is breaking new ground and offering a more intelligent, dynamic, and achievable way of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising.

You will:

  • Manage a caseload of learners, mentoring, coaching and equipping them to become in their roles
  • Take our theoretical course content and tailor it for each individual learner that you are supporting through regular teaching sessions and workshops
  • Support your caseload of learners to complete all Corndel training material and assessment tasks in a timely manner
  • Ensure that each of your learners is working on their respective qualification, accepts the value of it, is making progress and is actively pursuing it as a means of furthering their career
  • Work with key stakeholders to support learner progress and client delight
  • Ultimately you will be measured on the number of learners successfully completing the qualification, and the satisfaction of each learner and their line manager with the Corndel programme
  • Potential to manage client account relationships from an operational perspective
  • Evidence a commitment to the values of Corndel and an understanding of the transformational impact of education.

Responsibilities:

  • Teaching a cohort of learners, guiding them through their AI Programme.
  • Ensuring over 85% of learners achieve their qualification(s) on time.
  • Meeting regular milestones for each learner to present a compliant portfolio of evidence.
  • Supporting learners to complete their portfolio within the set timescales and to the highest standard possible.
  • Timetabling and holding one-to-one teaching sessions regularly.
  • Facilitating workshops that engage, motivate and educate the learner.
  • Engaging with the learners’ line managers on a quarterly basis to review progress.
  • Adhering to all compliance requirements for the qualification
  • Supporting the Skills for Business team to engage learners through Maths & English qualification where relevant.

Person Specification

Corndel is looking for exceptional talent, people who want to make a difference and who are used to working hard and achieving personal success. People who understand the complexities, challenges, satisfaction and frustrations of regularly working with AI and business change and want to pass on their knowledge and skills in conjunction with a comprehensive and highly acclaimed qualification to help others succeed.

Personality and Attitude

  • A self-starter and self-manager who can engage people, keep them engaged and progressing through the qualification.
  • Want to teach and ensure learning is taking place.
  • A can-do and upbeat attitude to work, colleagues, clients and managers.
  • An inquisitive mind, able to find things out and problem solve.
  • Solutions focused with detailed attention to both the outcomes and the inputs to secure them.
  • With integrity and standards that mirror those of Corndel – where people and success matter.
  • A passion for continued professional and personal development and a desire and pleasure in seeing others develop and succeed.
  • A person who wants to make a difference.

We welcome applications from candidates of all backgrounds. However, please note that we’re currently unable to offer visa sponsorship, so you’ll need to have existing right to work in the UK to be considered for this role.

As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer.

As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer.

If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience.

Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including basic DBS Disclosure Check.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.