AI Engineer, Third Space Learning
£70-90k
1+ day a week in office (Brick Lane, London)
Personalised virtual teaching
Job no longer available
Personalised virtual teaching
21-100 employees
Job no longer available
£70-90k
1+ day a week in office (Brick Lane, London)
21-100 employees
Company mission
Third Space Learning's mission is for every student to be able to access great quality online tuition to help them succeed in, and love, their learning.
Role
Who you are
- We’re looking for an AI Engineer who loves building fast, experimenting often, and pushing what’s possible
- Solid backend experience (Javascript, APIs, data pipelines)
- Comfortable working with large datasets and distributed systems
- Familiar with practical applications of LLMs: prompting, evaluation, and how to fine-tune or adapt models for specific tasks
- An added bonus: Experience with transcription, speech-to-text / text-to-speech, or voice-based AI interactions (our product sends live audio via a websocket, so experience in this area would also help)
- Comfortable with advanced debugging: Handles complex debugging scenarios that may involve multiple systems or applications
- Design Patterns: able to apply standard design patterns to solve common architectural problems, enhancing code efficiency and scalability
- Able to participate in code reviews, providing constructive feedback and sharing best practices
- Test Automation: Implements automation strategies for repetitive testing tasks to improve efficiency and consistency
- Analytical: able to tackle complex problems using a systematic and logical approach
- Influential: use experience and knowledge to positively influence peers and project outcomes
- Decisive: make informed and timely decisions, especially under pressure
- Reliable: consistently delivers quality work and follows through on commitments
- Curious, experimental mindset: you like to test ideas quickly and learn from the data
- Good communicator: will proactively communicate, can express their opinions clearly
- Resilient and adaptable: Manages setbacks effectively and remains positive. Able to adapt when plans change
- Organised: can move through work methodically, documenting decisions and organising your time so as to deliver on time
- Motivated by delivering impact: After a few months, you can work independently to add real and meaningful value to the product we're building. You don’t need to wait for instruction, and if you have an idea or suggestion that you think will improve how we work or what we're building, you’ll proactively voice it
What the job involves
- You’ll work to improve our core AI tutor - a proactive multi-agent model - and supporting technology (test suite, content creation tool, curriculum architecture)
- We’re two years in to developing Skye and have big plans for the coming years, so we’re looking for someone who can get stuck in and help us move fast
- Build and scale backend services in JavaScript to improve the core functionality of our AI voice tutor
- Work hands-on with large language models — fine-tuning, evaluating, and deploying them in real products
- Design and run large-scale data and model experiments to improve outcomes
- Collaborate closely with product, design, data, and academic teams to turn ideas into impactful features
- Help shape our engineering culture, tooling, and architecture as we grow
Salary benchmarks
Our take
Third Space Learning (TSL) was founded with the goal to work in partnership with schools and make the personalised one-to-one maths tuition accessible to vulnerable and less advantaged children. To date nearly 150,000 pupils have been taught through TSL.
Based in London, Third Space Learning works across England, as well as in emerging markets, India and Sri Lanka - all united by the shared effort to close the maths attainment gap. The company was criticised for employing under-18s at a low rate, but has now suspended the use of anyone under 18 as tutors within the programme.
As well as securing further partnerships to refine its product offerings, the company continues to invest Series A funding into expanding its market position in the UK and starting to penetrate international markets including the US.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Nov 2020
$2.9m
SERIES A
Jul 2020
$5.8m
SERIES A
Total funding: $23.5m
Company benefits
- A hybrid working environment; ideally we'd see you in the office (we're based in London) a couple of times a week but we're open to hear from candidates who might not be able to come in this often
- Personal development budget to be used for ongoing training and professional development
- Work with a fun, curious and ambitious team, passionate about being part of a tech start-up and having a social impact on the world
- A role with immediate responsibility and the opportunity to make a real difference to the lives of thousands of teachers and students
- Opportunity to grow your career in one of the fastest-growing EdTech businesses in Europe
Company HQ
Whitechapel, London, UK
Leadership
Tom Hooper
(CEO)Previously founded and served as CEO for TES Brightspark. Experience as Investment Manager for Aberdeen Asset Management and as a Research Assistant to the Leader of the Opposition for UK Parliament.
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