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- Tasks: Guide learners through their AI programme, ensuring timely completion and high standards.
- Company: Corndel is revolutionising vocational learning with innovative programmes in AI and more.
- Benefits: Enjoy a dynamic work environment with opportunities for personal and professional growth.
- Why this job: Make a real impact by mentoring future AI experts and shaping the industry.
- Qualifications: Experience in machine learning, coaching, and a passion for education are essential.
- Other info: Remote work options available; ideal for tech-savvy individuals eager to inspire others.
The predicted salary is between 36000 - 60000 £ per year.
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Corndel is seeking exceptional individuals to join our Professional Development Expert (PDE) Team to deliver first class coaching and training for our Level 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 as Scikit-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.
Candidate Profile
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.
Technical Skills
Required Knowledge and experience
Minimum Technical Skills Required
- Confident user of MSTeams
- Strong applied experience in machine learning and/or data science roles
- Solid understanding of MLOps and production deployment practices
- Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow)
- Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools)
- Understanding of ethical frameworks, explainability, and governance in AI
- Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences.
- Coaching Mindset: Passionate about guiding learners and supporting their digital development.
- Change Management & AI Adoption: Understanding of how organisations respond to technological change, with the ability to support learners in overcoming resistance and driving AI adoption.
- Results-Oriented & Supportive: Committed to learner success, providing high-quality feedback and additional support to ensure competency.
- Continuous Learner: Proactively engages with emerging digital and AI trends, maintaining expertise in evolving tools and technologies.
- Experience delivering training in a corporate or professional development setting.
- Strong ability to adapt content and delivery style to different audience levels.
Additional Ideal Technical Skills Required
- Digital engagement tools (menti/Miro/Whiteboarding etc)
- Degree or higher in Computer Science, Engineering, Maths, Data Science or a related field (desirable)
- Relevant certifications (e.g., Google Professional ML Engineer, Microsoft AI Engineer, AWS Machine Learning Specialty) are a bonus
Seniority level
-
Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Education and Training
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Industries
Human Resources Services
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Professional Development Expert in AI employer: Free-Work UK
Contact Detail:
Free-Work UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Professional Development Expert in AI
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Being able to discuss recent advancements, especially in areas like LLMs and generative AI, will show your passion and expertise during interviews.
✨Tip Number 2
Prepare to share specific examples from your experience where you've successfully deployed ML models. Highlighting real-world challenges and how you overcame them can demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 3
Engage with the community by attending AI meetups or webinars. Networking with professionals in the field can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 4
Showcase your coaching and mentoring abilities. Since the role involves guiding learners, be ready to discuss your approach to teaching and how you adapt content for different audiences to ensure effective learning.
We think you need these skills to ace Professional Development Expert in AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your practical expertise in machine learning and relevant experience across the full lifecycle. Emphasise your familiarity with key ML frameworks and tools, as well as any hands-on experience you have in designing and deploying ML models.
Craft a Compelling Cover Letter: In your cover letter, share personal stories of success and failure in deploying ML. This will help demonstrate your understanding of real-world challenges and your ability to guide learners through their AI journey.
Showcase Your Teaching Skills: Since the role involves mentoring and coaching, highlight any previous teaching or training experience. Discuss how you've engaged learners in the past and tailored content to meet their needs.
Demonstrate Your Passion for Development: Express your commitment to continued professional development and your desire to see others succeed. This aligns with Corndel's values and shows that you're a good fit for their team.
How to prepare for a job interview at Free-Work UK
✨Showcase Your Practical Experience
Be prepared to discuss your hands-on experience with machine learning. Share specific examples of projects you've worked on, detailing the lifecycle from scoping to deployment. This will demonstrate your practical expertise and understanding of real-world applications.
✨Tailor Your Communication Style
Since you'll be teaching and mentoring learners, it's crucial to adapt your communication style to different audiences. Practice explaining complex concepts in simple terms, and be ready to engage with both technical and non-technical stakeholders.
✨Discuss Ethical Considerations
Given the importance of ethics in AI, be prepared to discuss how you've navigated ethical frameworks and governance in your previous roles. Share any experiences where you had to address ethical dilemmas or compliance issues in AI projects.
✨Demonstrate a Coaching Mindset
Highlight your passion for guiding others and supporting their development. Prepare to share stories that illustrate your coaching approach, focusing on how you've helped learners overcome challenges and achieve their goals.
