Machine Learning Engineer, Eedi

Research Team

£80k

AWS
Python
Azure
PyTorch
Mid, Senior and Expert level
Remote in UK
Eedi

Enabling personalised, adaptive learning everywhere!

Be an early applicant

Eedi

Enabling personalised, adaptive learning everywhere!

21-100 employees

B2BArtificial IntelligenceEducationMachine LearningSocial Impact

Be an early applicant

£80k

AWS
Python
Azure
PyTorch
Mid, Senior and Expert level
Remote in UK

21-100 employees

B2BArtificial IntelligenceEducationMachine LearningSocial Impact

Company mission

To sustainably improve learning outcomes for 1 billion children by 2030.

Role

Who you are

  • You have a track record of developing and deploying machine learning models that solve real-world problems
  • Expertise in Python and PyTorch, with 5+ years of experience in ML model development and deployment workflows
  • A deep understanding of modern ML techniques, including NLP, graph representation learning, and deep learning
  • Be comfortable with ambiguity and thrive in a research-oriented environment where experimentation and iterative design are the norm
  • Experience with MLOps practices and tools for managing the full ML lifecycle
  • Passionate about using your skills to make a positive impact on education and society

Desirable

  • You have experience working in Edtech or a startup environment
  • You have contributed to open-source ML projects or have published papers at top-tier conferences
  • You have experience with cloud platforms like Azure or AWS
  • You have worked in remote or distributed team environments
  • You are a lifelong learner who's always excited to tackle new challenges and expand your skillset

What the job involves

  • Full time, Permanent
  • You'll be at the forefront of applying machine learning to education. Working closely with our research team to push the boundaries of what's possible
  • You'll develop and deploy state-of-the-art machine learning models, including Graph Neural Networks and Large Language Models, to unlock insights from our unique knowledge graph
  • Collaborate with our Machine Learning Research Engineer to ideate, develop, and productionise innovative ML pipelines that drive personalised learning experiences
  • Transform research prototypes into robust, scalable solutions that can handle millions of students
  • Work with our product and pedagogy teams to translate ML insights into features that make a real difference in students' lives
  • Contribute to groundbreaking research; Potentially presenting at top-tier conferences and collaborating with partners in academia and the broader education community

Our take

Eedi is revolutionizing personalized learning by developing a future where every student has their own predictive learning graph, tracking their unique educational journey, challenges, and progress. This vision is centred on creating adaptive learning experiences that respond to the individual needs of students, making education more tailored and effective on a global scale.

With over a decade of data collection, Eedi has accumulated billions of data points that not only identify knowledge gaps but also uncover the reason behind them. This deep understanding enables timely interventions to enhance student performance and accelerate learning outcomes. The company's first machine learning (ML) model is nearing completion, further advancing its ability to deliver personalized and impactful education.

Alongside this, the company has also secured significant funding, which will enable significant growth and development. Through strategic partnerships with major education operators, Eedi is positioned to reach hundreds of millions of students worldwide.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Strong hiring activity
Top investors

50% female employees

Company

Employee endorsements

Meaningful work

"Eedi is in the business of enabling all students, no matter their background, to reach their potential in maths. That mission runs in everyone's..."

Funding (1 round)

Mar 2020

$4.3m

SEED

Total funding: $4.3m

Company benefits

  • 5% pension contribution
  • 30 days holiday + Christmas break
  • Quarterly off-sites
  • Learning budget - we're an education business!
  • Cycle-2-work scheme
  • Truly flexible working - we appreciate real work life balance
  • Home office budget (chairs, screens etc)

Company values

  • Be collectively responsible
  • Embrace trust
  • Champion resilience
  • Always be learning
  • Promote evidence

Leadership

Ben Caulfield

(CEO & co-founder)

Ex-BD; Aol., News Corp. Founder; Stadia, REQQI.

Simon Woodhead

(Director in Research & co-founder)

PhD statistician with 17 years experience in education technology, leading Eedi's data science and machine learning teams.

Craig Barton

(Head of Education & co-founder)

Ex-teacher, best-selling author and thought leader in K-12 education.


People progressing

Joined as a tutor originally, Iris has been supported by the Company to progress to COO over the last 9 years, with mentorship and a mini-MBA.

Joined in 2020 as a learning designer, the Company supported Digory's ambitions to be a data scientist, through coaching, courses and mentorship.

Diversity, Equity & Inclusion at Eedi

Iris Hulls headshot

Iris Hulls (COO)

  • At Eedi, diversity, equity, and inclusivity are integral to how we operate and reflect our core values. We believe that a diverse and inclusive organisation is essential for driving innovation, growth, and long-term success. We want our team to reflect the diversity of the communities we serve, ensuring that our solutions are both inclusive and impactful.
  • Our mission to help every child reach their full potential. To achieve this, we must foster a workplace where everyone, regardless of their background, can succeed and contribute meaningfully. A diverse team brings a variety of perspectives, enriching our decisions and enabling us to create solutions that address the needs of all learners.
  • At Eedi, our commitment to DEI is deeply rooted in our values:
  • Be Collectively Responsible: We understand that creating a diverse and inclusive workplace is a shared responsibility. Every member of our team plays a part in fostering an environment where all individuals are respected, supported, and valued.
  • Embrace Trust: We strive to build an organisation where trust is foundational. Trust in each other’s experiences, backgrounds, and perspectives fosters open communication and collaboration, helping us grow as a team.
  • Champion Resilience: We know that creating a more inclusive organisation takes time and continuous effort. We are resilient in our commitment to challenging biases, addressing inequalities, and ensuring every voice is heard.
  • Always Be Learning: DEI is a journey. We continuously educate ourselves on best practices, evolving our policies and behaviours to be more inclusive.
  • Promote Evidence: At Eedi, we are committed to making decisions based on evidence and data, including our DEI efforts. We continuously seek out ways to improve, ensuring our approach to inclusion is both informed and impactful.
  • Key Initiatives include allowing for flexible Work Schedules to accommodate employees from all backgrounds and life circumstances, we offer flexible truly working arrangements, including a condensed 4 day work week and pick-up and drop off for school, ensuring a work-life balance. We ensure Inclusive Recruitment by actively working to attract and retain talent from underrepresented groups. Our recruitment process is designed to minimise bias. For example, we prioritise work samples over CVs, consistently rate candidate responses on a pre-defined scale, and run structured interview processes. Internal up-skilling by encouraging everyone at Eedi to learn about the small and big ways to create a diverse and inclusive team. We run internal training sessions on evidence-backed ways to promote inclusion and belonging, and work with HR to design processes and policies that maximise fairness.

Share this job