At a Glance
- Tasks: Coach apprentices in data/AI, lead workshops, and provide 1:1 support.
- Company: Mission-driven organisation dedicated to apprentice success and inclusivity.
- Benefits: Remote-first work, occasional events, and a focus on professional growth.
- Other info: Join a supportive team committed to continuous improvement and learner success.
- 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.
The role involves coaching 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) in Coventry employer: AiCore
As a Machine Learning Coach, you will thrive in a mission-driven culture that prioritises apprentice success and equitable access to careers. With a remote-first approach, you will enjoy the flexibility of working from anywhere in the UK while having opportunities for in-person events to foster collaboration and community. The company is committed to your professional growth, offering a supportive environment where you can develop your coaching skills and make a meaningful impact on learners' lives.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Coach - (Apprenticeships) in Coventry
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and join online forums. 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 platforms. We can help each other refine our answers and boost our confidence.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your projects and achievements in data/AI. This is a great way to demonstrate what we can bring to the table beyond just a CV.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make a difference in the world of Machine Learning.
We think you need these skills to ace Machine Learning Coach - (Apprenticeships) in Coventry
Some tips for your application 🫡
Show Your Passion for Coaching:When you write your application, let your enthusiasm for coaching and helping others shine through. We want to see how you can inspire and support our apprentices in their learning journey.
Highlight Relevant Experience:Make sure to showcase any previous experience you have in coaching or teaching adults, especially in data, AI, or related fields. We’re looking for real-world examples that demonstrate your skills and impact.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and how they relate to the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at AiCore
✨Know Your Stuff
Make sure you brush up on your Machine Learning concepts before the interview. Be ready to discuss specific techniques and tools you've used, as well as how they apply to real-world scenarios. This will show that you’re not just familiar with the theory but can also translate it into practice.
✨Showcase Your Coaching Skills
Prepare examples of how you've successfully coached or taught adults in the past. Think about specific challenges you faced and how you helped learners overcome them. This will demonstrate your ability to facilitate learning and support diverse needs, which is crucial for this role.
✨Engage with the Interviewers
Don’t just answer questions; engage with your interviewers. Ask them about their experiences and the challenges they face in coaching apprentices. This shows your interest in the role and helps you understand their expectations better.
✨Be Data-Driven
Since the role involves monitoring programme health metrics, be prepared to discuss how you’ve used data in your previous roles. Share examples of how you’ve made decisions based on data insights and how you track progress for your learners. This will highlight your analytical skills and confidence with data.
