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.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Tutor (Project Basis)
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We think you need these skills to ace Data & AI Tutor (Project Basis)
Some tips for your application 🫡
Show Off Your Passion for Learning:When applying for a role in digital learning and education at Cambridge Spark, make sure to sprinkle your application with examples of your enthusiasm for teaching and learning technologies. Share specific experiences where you've used, designed, or implemented digital learning solutions, as this shows us that you truly get the field.
Highlight Relevant Education and Certification:In the digital learning space, having a strong educational background can set you apart. Don't shy away from showcasing your degrees, certifications, or relevant courses related to e-learning, instructional design, or educational technology. We love seeing candidates who have actively invested in their learning journey!
Tailor Your CV to the Role:Your CV is your first impression, so let's make it count! Focus on your skills directly related to digital learning, such as course development, learning management systems, and data analysis. Be sure to show measurable results from your past roles to demonstrate your impact and effectiveness.
Craft a Compelling Cover Letter:In your cover letter, express not just your qualifications, but your vision for the future of digital education. Discuss how your experiences align with the mission of Cambridge Spark and highlight any innovative ideas you might have for enhancing learning experiences. This is your chance to connect with us on a deeper level!
How to prepare for a job interview at Cambridge Spark
✨Get Hands-On with Learning Technologies
Familiarise yourself with common digital learning tools and platforms, like LMS systems or authoring tools that Cambridge Spark might use. Understanding these will give you an edge and show you’re ready to jump in from day one!
✨Showcase Your Creativity in Lesson Design
Prepare a portfolio of your past projects if you have them, or create sample lesson plans or digital content demos. Being able to discuss your creative approach to engaging students can really set you apart in a full-time role at Cambridge Spark.
✨Brush Up on Educational Trends
Stay in the loop with the latest trends in digital education, like gamification or personalised learning experiences. This will help you engage in meaningful discussions during the interview and demonstrate your passion for the field.
✨Prepare for Collaborative Scenarios
Expect to be asked about your experience working collaboratively with educators or other stakeholders. Consider discussing how you've contributed to a team effort in creating engaging educational content or improving student outcomes.
