At a Glance
- Tasks: Guide learners through AI and ML programmes, facilitating in-person and virtual sessions.
- Company: Join Cambridge Spark, a leader in innovative education for Data & AI.
- Benefits: Flexible project-based work with competitive rates and the chance to impact future tech leaders.
- Other info: Work in vibrant cities like Bristol, Edinburgh, London, or Manchester with excellent networking opportunities.
- Why this job: Shape the next generation of data scientists while enhancing your own skills.
- Qualifications: Strong background in machine learning, Python coding, and experience with generative AI tools.
The predicted salary is between 40000 - 50000 £ per year.
Cambridge Spark is seeking independent, high calibre Data & AI tutors to deliver targeted support to learners on one of our intensive ML & AI programmes. This is a project-based contract engagement to deliver tutoring as part of our suite of education programmes. The successful consultant will act as an external specialist, working with a group of learners to ensure that they are progressing well through the programme and offering technical guidance and support. The project is UK-based with project-specific onsite delivery. The consultant must be able to deliver on-site in one of Bristol, Edinburgh, London or Manchester. All-inclusive rates should factor in localised travel.
Key Deliverables & Scope of Work
- 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
- 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.
Data & AI Tutor (Project Basis) employer: Cambridge Spark
Cambridge Spark is an exceptional employer for Data & AI Tutors, offering a dynamic and collaborative work environment that fosters professional growth and innovation. With project-based engagements in vibrant cities like Bristol, Edinburgh, London, and Manchester, tutors benefit from localised support and the opportunity to make a meaningful impact on learners' journeys in cutting-edge AI education. The company values flexibility and independence, allowing consultants to manage their own schedules while contributing to a forward-thinking educational initiative.
