Senior AI & ML Instructor

Decoded; London; Remote; GBP 55,000 - 65,000; Full time

Job summary

Decoded seeks a Senior AI & ML Instructor to lead workshops in AI technologies and support learners in their professional development. The ideal candidate will have experience in teaching and mentoring, with a strong grasp of AI methods and a passion for facilitating learning in a collaborative environment.

Benefits

33 days leave per year including bank holidays

Flexible working, including work-from-home

Company pension contributions

Health care, including dental, medical, and vision

Free monthly lunches

Qualifications

• Over 2 years of industry experience in Data Science or similar.
• Confident with live coding in Python.
• Prior teaching or coaching experience.

Responsibilities

• Delivering high-quality teaching and support to learners.
• Developing curriculum content in collaboration with teams.
• Providing feedback to improve learning products.

Skills

Excellent communication skills

Organisational skills

Collaboration

Education

Teaching qualification or EPA assessor training

Tools

Python

Git

Job description

About Decoded

We are Decoded, the pioneers of transformative technology education. We democratise cutting edge skills. We 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.

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 (< 10 % of sessions) for global clients.

Accountabilities

As a Senior AI & ML Instructor at Decoded, you are accountable for:

• 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. Each

• Learner will have the support of an LSC to support them with practical and pastoral guidance.

• 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 (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.

Specific Role & Responsibilities

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.

• 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

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.

• Providing support to learners with the tools and environments used in Decoded programmes.

• Creating a safe coaching environment for learners, in relation to safeguarding, e-safety and wellbeing, for example.

• Staying up-to-date with the latest trends and the specific tools and technologies covered in Decoded programmes.

• Supporting Learner Success to assess evidence from learners on the knowledge, skills and behaviours they are acquiring throughout the programme.

• Supporting Learner Success to provide timely feedback on learners’ projects at the end of each module as part of their assessment.

Product development:

• 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.

Skills & behaviours

We are looking for candidates with a mindset built on:

• Building collaborative relationships

• Solving problems elegantly and creatively: “find a way or make a way”

• 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, 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. MLflow, Kubeflow).

• Proficiency with Python and source control and collaboration tools (Git, GitHub/GitLab).

• Prior teaching, mentoring or coaching experience; confident delivering to mixed‑ability cohorts.

• Excellent communication skills, with the ability to translate complex concepts into clear, jargon-light language for diverse audiences.

Desirable:

• Formal teaching qualification or EPA assessor training.

• Experience authoring interactive labs and workshops

• Experience with data governance, responsible AI or GenAI prompt engineering.

What does success look like?

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: you don’t accept mediocrity in yourself or the team around you

• Solving problems elegantly and creatively: “find a way or make a way”

A successful candidate will be expected to achieve the following within 3 months:

• Autonomous management of content development deadlines

• Autonomous management of workshop delivery

• 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

Who are you?

You are:

• 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

• Self-motivated and a problem solver who takes initiative

• Passionate about technology and learning

• A team player who is eager to improve our programmes wherever possible and contributes to overall morale

• Always keen to learn, improve and stretch your own knowledge, skills and behaviours

• Familiar or experienced with Data Science and AI concepts and tools

Team reporting and structure

You will report into the Portfolio Director, in the Product Department.

Day to day

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.

Your working hours will be 09:00 - 17:00.

Learning and progression

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.

Apart from the above, working at Decoded means you’ll get:

• 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

• Continuous learning and development. 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

• Free monthly lunches

• Laptop and virtual work equipment kit provided

[Salary band: £55-65K]

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