(H/F)- Formateur DATA (remote)

About Decoded We are Decoded, the pioneers of transformative technology education. We help transform traditional businesses into tech companies. 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.
Overview 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 (
As a Senior AI & ML Instructor at Decoded, you are accountable for:
Ensuring your allocated teaching sessions are delivered to a consistently high quality.
Supporting content and product development across the Decoded programme curriculums.
Ensuring compliance with programme standards (which may include awarding bodies or organisations such as Ofsted, ESFA, partners, and other authorities) with respect to all procedures associated with teaching, learning and assessment.
Teaching Decoded workshops:
Delivering effective teaching across various formats, addressing technical challenges efficiently and ensuring timely and smooth execution with a strong grasp of curriculum and standards.
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

Learner coaching:
Responding to learner queries in a timely and effective way on the Help Centre related to course materials, assignments and projects, for example.
Creating a safe coaching environment for learners, in relation to safeguarding, e-safety and wellbeing, for example.
Supporting Learner Success to provide timely feedback on learners’ projects at the end of each module as part of their assessment.
Providing detailed feedback on our content to drive product improvements.
Contribute to the innovation and development of content and technical learning products.
Working closely with Product Developers and Learning Experience Designers to develop curriculum content that meets the expectations and needs of all stakeholders.
Building collaborative relationships
Organisational skills - proactivity, process improvements
A flexible, can do attitude and a willingness to learn
Exceptional attention to detail to deliver timely, quality results
Essential skills for working across our AI portfolio include:
Demonstrable professional experience in end-to-end machine learning projects, including data preparation, model development, evaluation, deployment and monitoring.
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), and familiarity with MLOps toolchains, CI/CD pipelines, containerisation (Docker/Kubernetes) and orchestration/versioning tools (e.g. Proficiency with Python and source control and collaboration tools (Git, GitHub/GitLab).
Prior teaching, mentoring or coaching experience; Excellent communication skills, with the ability to translate complex concepts into clear, jargon-light language for diverse audiences.

Formal teaching qualification or EPA assessor training.
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
Autonomous management of content development deadlines
Confidence to successfully deliver at least 60% of our Apprenticeship workshops
A passionate technologist with over 2 years of Data Science (or similar) industry experience, ideally including teaching experience
Confident with live coding in Python
An excellent and adaptable communicator, verbally and in writing
Familiar or experienced with Data Science and AI concepts and tools
This role can be delivered fully remote within the UK, provided the working location has consistently reliable Wifi for workshop delivery. The Decoded office in London Liverpool Street is available to all Decoded employees for non-workshop delivery work.
We run a dedicated learning calendar to hone craft skills in teaching, leadership, strategy and other relevant disciplines.
Quarterly performance reviews embedded within our culture of feedback will ensure you are recognised and rewarded for the value that you bring to Decoded.
33 days* leave per year (inclusive of bank holidays) and an extra tenured holiday enabling team members to gain an additional day for every year you are with us (after the first 2 years) up to a maximum of 8. We also close the office for 2 full weeks at Christmas at Decoded's discretion, which does not come out of your holiday allowance.

• Flexible working, including work-from-home
• Modern, flexible and fully serviced offices at WeWork in Liverpool Street, London
• Company pension/retirement contributions
• Health care, including dental, medical, and vision*, and to help you prioritise your wellbeing
• Travel insurance
• Social events and all company gatherings
• You will be challenged with lots of responsibility and exciting projects in an environment that encourages learning
• A work environment that values creativity, personal growth and collaboration
• 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