At a Glance
- Tasks: Teach AI and ML, support learners, and develop engaging content.
- Company: Decoded transforms tech education, empowering learners for the future of work.
- Benefits: Enjoy flexible working, 33 days leave, health care, and continuous learning opportunities.
- Why this job: Join a creative team, make an impact, and help shape the future of technology education.
- Qualifications: Experience in machine learning, teaching, and excellent communication skills required.
- Other info: Fully remote role with a supportive culture focused on personal growth.
The predicted salary is between 46200 - 57800 £ per year.
Join to apply for the Senior AI & ML Instructor role at Decoded. We are Decoded, the pioneers of transformative technology education. We democratise cutting edge skills and help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work.
Our products and methodologies have been shaped through our collaboration with some of the largest and most technologically progressive organisations in the world. We use the intelligent, ethical and creative application of technology to lay the foundations for a more productive and promising world – one with unlimited possibilities.
As the Senior AI & ML Instructor, you will work across our AI Portfolio product workstreams, including the Apprenticeship Level 6 AI Engineer programme. Key responsibilities include teaching, providing learner support and developing content. You will contribute to ensuring high-quality learning, satisfied customers and learners. Working alongside the Portfolio Director of AI, you will develop and grow the AI product line across our upskill, reskill and apprenticeship programmes.
The core teaching window is 09:00-17:00 UK time with occasional delivery outside core hours (< 10 % of sessions) for global clients.
Accountabilities:
- Ensuring your allocated teaching sessions are delivered to a consistently high quality.
- Working with the Learner Success Coaches (LSCs) to ensure learners progress through the programme.
- Responding to and resolving learner enquiries to support them in acquiring the required skills and knowledge throughout their programme.
- Supporting content and product development across the Decoded programme curriculums.
- Design and develop learning solutions, as well as initiate new products and manage them through development to operation.
- Ensuring compliance with programme standards with respect to all procedures associated with teaching, learning and assessment.
Specific Role & Responsibilities:
- Delivering effective teaching across various formats, addressing technical challenges efficiently and ensuring timely and smooth execution with a strong grasp of curriculum and standards.
- Fostering a safe and inclusive learning environment.
- Familiarising yourself with the course structure and content, proactively filling gaps in your knowledge.
- Contributing to internal training on content and delivery methodologies.
- Achieve teaching quality scores that meet or exceed quality indicators.
Skills & Behaviours:
- Building collaborative relationships.
- Solving problems elegantly and creatively.
- Organisational skills - proactivity, process improvements.
- Excellent communication skills: adaptable, clear and consistent written, verbal, 1:1, group.
- A flexible, can do attitude and a willingness to learn.
- Striving for excellence in all areas.
- Exceptional attention to detail to deliver timely, quality results.
- A passion to learn and adapt.
Essential skills for working across our AI portfolio include:
- Demonstrable professional experience in end-to-end machine learning projects.
- Up-to-date knowledge of core ML techniques, with expertise in at least one specialty area (e.g. NLP/LLMs, computer vision or generative models).
- Experience with at least one major cloud provider (AWS, Azure or GCP).
- Proficiency with Python and source control and collaboration tools (Git, GitHub/GitLab).
- Prior teaching, mentoring or coaching experience.
Desirable:
- Formal teaching qualification or EPA assessor training.
- Experience authoring interactive labs and workshops.
- Experience with data governance, responsible AI or GenAI prompt engineering.
Your performance will be measured and driven by:
- Enabling learners to apply newly learned techniques to their professional environment.
- Delivering regular high-quality learning engagements with learners.
- Coaching through the application of techniques that are new to learners.
- Striving for excellence in everything you do.
A successful candidate will be expected to achieve the following within 3 months:
- Autonomous management of content development deadlines.
- Confidence to successfully deliver at least 60% of our Apprenticeship workshops.
- An overall Teacher KPI score of 75%.
- Autonomous management of well-informed and timely responses to all learner queries on the helpdesk.
You are:
- A passionate technologist with over 2 years of Data Science industry experience.
- Confident with live coding in Python.
- An excellent and adaptable communicator, verbally and in writing.
- Self-motivated and a problem solver who takes initiative.
- A team player who is eager to improve our programmes wherever possible.
This role can be delivered fully remote within the UK, provided the working location has consistently reliable Wifi for workshop delivery. Your working hours will be 09:00 - 17:00.
Working at Decoded means you’ll get:
- 33 days leave per year (inclusive of bank holidays).
- Flexible working, including work-from-home.
- Company pension/retirement contributions.
- Health care, including dental, medical, and vision.
- Continuous learning and development.
- Free monthly lunches.
- Laptop and virtual work equipment kit provided.
Decoded is committed to safeguarding and promoting the welfare of children, young people and vulnerable adults and expects all staff and volunteers to share this commitment.
Senior AI & ML Instructor employer: Decoded
Contact Detail:
Decoded Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI & ML Instructor
✨Tip Number 1
Familiarise yourself with Decoded's teaching methodologies and their AI portfolio. Understanding their approach will help you align your teaching style with their expectations, making you a more attractive candidate.
✨Tip Number 2
Network with current or former employees of Decoded on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and what they look for in an instructor.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning. Being able to discuss recent advancements or tools during interviews will demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to showcase your teaching experience by thinking of specific examples where you've successfully engaged learners or resolved challenges. This will help you stand out as a candidate who can deliver high-quality learning experiences.
We think you need these skills to ace Senior AI & ML Instructor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning, particularly any teaching or mentoring roles. Use specific examples to demonstrate your expertise in end-to-end machine learning projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology education and how your skills align with Decoded's mission. Mention your experience with various ML techniques and your ability to communicate complex concepts clearly.
Showcase Your Teaching Experience: If you have prior teaching or coaching experience, emphasise this in your application. Provide examples of how you've successfully engaged learners and supported their development in technical subjects.
Highlight Continuous Learning: Demonstrate your commitment to personal and professional growth by mentioning any recent courses, certifications, or workshops you've completed related to AI and machine learning. This shows that you're proactive and eager to stay updated in the field.
How to prepare for a job interview at Decoded
✨Showcase Your Teaching Experience
As a Senior AI & ML Instructor, your ability to teach effectively is crucial. Be prepared to discuss your previous teaching experiences, including any challenges you faced and how you overcame them. Highlight specific examples of how you've engaged learners and adapted your teaching style to meet diverse needs.
✨Demonstrate Technical Proficiency
Make sure to brush up on your technical skills, especially in machine learning and AI. Be ready to discuss your experience with end-to-end ML projects, cloud providers, and relevant tools. You might even be asked to solve a technical problem during the interview, so practice articulating your thought process clearly.
✨Emphasise Collaboration Skills
Decoded values collaborative relationships, so be prepared to share examples of how you've worked effectively in teams. Discuss how you've contributed to product development or curriculum design, and how you’ve supported colleagues and learners alike in achieving their goals.
✨Prepare for Learner-Centric Scenarios
Since learner success is a key focus, think about scenarios where you've had to support learners through challenges. Prepare to discuss how you would handle learner queries, provide feedback, and create a safe and inclusive learning environment. This will demonstrate your commitment to learner success and your coaching abilities.