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- Tasks: Coach apprentices in data/AI, lead workshops, and provide 1:1 support.
- Company: Mission-driven organisation dedicated to apprentice success.
- Benefits: Remote-first work, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real difference by empowering the next generation of data professionals.
- Qualifications: Experience in coaching adults in data/analytics/AI and strong communication skills.
- Other info: Join a supportive team focused on inclusivity and continuous improvement.
Machine Learning Coach
The role
You’ll coach a cohort of apprentices through data/AI programmes, combining facilitation, 1:1 coaching, and progress reviews to help every learner complete on time and apply skills on the job. You should have technical abilities to tutor on Machine Learning concepts.
What you’ll do
- Lead engaging workshops and group sessions on data/AI concepts and workplace application.
- Provide regular 1:1 coaching, set goals, track progress, and unblock learners quickly.
- Run triad reviews with apprentices and their managers; agree on clear on-the-job projects.
- Monitor programme health metrics (attendance, submissions, outcomes) and intervene early for at-risk learners.
- Give high-quality feedback on assignments and portfolios; maintain accurate records.
- Collaborate with curriculum, operations, and support teams to deliver a consistent learner experience.
- Champion inclusivity and psychological safety; adapt delivery for varied learning needs.
- Contribute to continuous improvement of content, delivery, and quality standards.
What you’ll bring
- Proven experience coaching or teaching adults in data/analytics/AI or a related field.
- Strong facilitation, communication, and stakeholder-management skills.
- Confidence using data to make decisions; comfortable with spreadsheets and dashboards.
- Practical familiarity with modern AI tools (e.g., prompt design, workflow integration).
- Growth mindset, ownership, and the ability to manage multiple learners and deadlines.
Nice to have
- Formal coaching/facilitation credentials.
- Industry experience applying data/AI to real business problems.
- Experience supporting diverse learners and tailoring instruction.
Benefits & working style
- Remote-first within the UK, with occasional in-person events.
- Mission-driven culture focused on apprentice success and equitable access to careers.
Machine Learning Coach - (Apprenticeships) employer: AiCore
Contact Detail:
AiCore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Coach - (Apprenticeships)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. The more connections we make, the better our chances of landing that dream job.
✨Tip Number 2
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or using online resources. We want to nail those tricky questions and show off our coaching skills!
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your experience in data/AI and coaching. We can use this to impress potential employers and demonstrate our hands-on skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar names from our community when we’re hiring!
We think you need these skills to ace Machine Learning Coach - (Apprenticeships)
How to prepare for a job interview at AiCore
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts before the interview. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your practical understanding and ability to coach others effectively.
✨Show Off Your Coaching Skills
Prepare examples of how you've successfully coached or taught adults in the past. Think about specific situations where you helped someone overcome challenges or achieve their goals, as this will demonstrate your facilitation and communication skills.
✨Be Data-Driven
Since the role involves monitoring programme health metrics, be prepared to talk about how you've used data to make decisions in previous roles. Bring examples of how you've tracked progress and intervened when learners were at risk.
✨Emphasise Inclusivity
Highlight your experience in adapting your teaching methods for diverse learners. Discuss how you create an inclusive environment that champions psychological safety, as this aligns with the company's mission-driven culture.