Data & AI Tutor (Project Basis)

United Kingdommid

OtherData & Ai Engineer

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Quick Summary

Requirements Summary

Week 1: Intro and Product Led Thinking Week 2: Foundations of Machine Learning Week 3: Ensembles and Model Tuning Week 4: Neural Networks and Language Models Week 5: LLM

Technical Tools

OtherData & Ai Engineer

Facilitating in-person sessions, guiding learners through collaborative assignments
Technical session support for virtual sessions run through Teams, answering questions, managing the chat, and giving assistance to groups during small group tasks
Providing ad hoc support via drop-in Teams calls or our online portal
Ensuring that the programme runs effectively, identifying and raising any issues to the project team

Required Expertise & Capabilities
To successfully deliver this project, the independent consultant/services provider must demonstrate:

Essential Criteria
The ideal tutor will be:

Well-versed in the mathematics behind machine learning models
A capable python coder
Comfortable with SQL
Experienced with using LLMs and other Generative AI tools, including agentic AI
A practiced small-group teacher

Desirable Criteria
Whilst there are no specific qualifications we would ask for as a requirement, the kind of profile we are interested in would be PhD students studying scientific subjects with a heavy focus on Machine Learning, Data Science, or AI, recent Masters' Graduates in the same areas, or equivalent professional experience.

For context, the topics of the sessions are:

Week 1: Intro and Product Led Thinking
Week 2: Foundations of Machine Learning
Week 3: Ensembles and Model Tuning
Week 4: Neural Networks and Language Models
Week 5: LLMs: Customisation, Managing State and RAG
Week 6: Agentic AI
Week 7: Responsible AI
Week 8: Production Engineering

Contractual Nature of the Engagement
This engagement is for a specific, project-based outcome and is open to independent contractors, freelancers, or boutique consultancies operating via a Limited Company or appropriate vehicle.

Substitution: The right of substitution applies, provided the substitute possesses equivalent skills and qualifications to meet the project deliverables.
Equipment: The consultant is expected to provide their own equipment and tools necessary to complete the assignment.
Commercial Protections: The services provider is free to provide services to other clients during this engagement, provided there is no direct conflict of interest or breach of confidentiality regarding Cambridge Spark’s proprietary materials and client relationships.