Machine Learning Instructor / Curriculum Lead. Job in Manchester Education & Training Jobs

AiCore; Manchester; Remote; GBP 200,000 +; Full time

Job summary

A cutting-edge technology training company is seeking an experienced Machine Learning Engineer to teach workshops and create curricula. The role involves mentoring learners on ML systems and adapting content for real-world applications. Ideal candidates have 3+ years in ML production, strong Python skills, and a passion for teaching and learning. This position is remote with an emphasis on collaboration and support.

Benefits

Competitive salary

Tax-efficient wealth planning

Upskilling budget

Travel to meet the team

Qualifications

• 3+ years building and deploying ML systems in production.
• Strong Python and applied ML/DL experience.
• Hands-on MLOps knowledge required.

Responsibilities

• Create new curricula and teach live workshops.
• Review code and guide projects to help learners.
• Adapt material for enterprise clients.

Skills

Machine Learning systems

Python

MLOps

Deep Learning

Communication

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Location:

Location: UK-Remote

Type: Full-time

Salary: Competitive base that grows on experience + uncapped commission potential

Equity: Option participation

Additional benefits: tax-efficient wealth planning, upskilling budget, travel to meet the team

The role:

You've built ML systems that shipped, now it's time to help others do the same.

We're looking for an experienced Machine Learning Engineer to start immediately, someone who loves to share knowledge, guide others, and shape how AI is taught in the real world. You will deliver live sessions, coach learners on real projects, and evolve our curriculum across ML, MLOps and GenAI.

This is a role for someone who thrives where deep tech and human development meet, and is equally comfortable explaining gradient boosting as mentoring a team through model deployment.

You will:

• Create new curricula and teach live workshops on Machine Learning, Deep Learning, Machine Learning Ops, and Generative AI.
• Teach learners 1:1 and in small groups.
• Review code, guide projects, and help learners ship production-ready systems.
• Improve the curriculum on a regular basis: new labs, case studies, datasets.
• Adapt material for enterprise clients and real-world problems.
• Collaborate with Programme, Careers, and Partner teams to align learning with industry demand.

What you will teach:

• Core ML/DL: supervised and unsupervised learning, feature engineering, regularisation, tree methods, neural nets.
• MLOps: tracking, CI/CD, containerisation, orchestration, monitoring, model drift.
• GenAI/LLMs: RAG, prompt engineering, LoRA fine-tuning, safety, evaluation.
• Tooling: Python, pandas/PySpark, MLflow, Weights and Biases, Docker, Kubernetes, Terraform, GitHub Actions.
• Cloud: AWS, GCP, Azure.
• Soft Skills: problem framing, stakeholder communication, technical writing.

What you will bring:

• 3+ years building and deploying ML systems in production
• Strong Python and applied ML/DL experience.
• Hands-on MLOps knowledge (tracking, deployment, monitoring).
• Great communication: ideally, you've mentored, taught, or led internal training before.
• Curious, adaptive mindset; you love learning as much as teaching.

Bonus points for:

• LLM/GenAI experience (RAG, vector DBs, evaluation, optimisation).
• Experience in apprenticeship/bootcamp teaching or internal enablement.
• Content creation, open-source work, or public speaking.

Success looks like:

• Learners deliver high-quality, portfolio-ready projects on a consistent basis.
• High engagement and satisfaction scores across sessions.
• Smooth, scalable delivery with proactive learner support.

About AiCore:

AiCore helps engineers and organisations master the tools shaping the future. We've built and delivered advanced AI and ML programmes across the UK, working with learners and enterprise partners at scale.

As we enter our next growth chapter in partnership with government and major industry clients, we are expanding our team of world-class instructors who want to shape the future of learning.

Apply now or reach out for a conversation; we are always happy to speak with people who share our mission.