AI/ML Engineer
Employer: Oak National Academy
Location: Remote, UK
Working hours: Full time
Salary: £63165 + benefits (including 4.5 day week and 11% employer pension)
Closing date: 11:59pm, 23rd Nov 2025 GMT
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Remote (UK-based) | Full-time | Flexible working | Competitive salary + excellent benefits
Do your best work, for the right reasons.
We’re looking for an AI Engineer to help us build beautifully simple, high-impact digital products that support teachers and improve outcomes for pupils across the UK.
Oak is a fully remote, mission-driven organisation offering high levels of flexibility, autonomy, and purpose. We’re a national not-for-profit working in partnership with teachers to create the highest-quality, sequenced curriculum and lesson resources for pupils across all subjects and age groups.
Our culture has been independently recognised through:
Flexa verified (93% overall score, including 95% for working hours and 97% for role modelling)
Escape the City's Top 1% Employers – based on anonymous colleague reviews of culture, development, and impact
Investors in People Gold - through external accreditation and colleague feedback
💡 About the Role
We are looking for an experienced AI Engineer to join our AI Platform team.
Oak's AI Platform team builds and maintains our core AI infrastructure, including shared services, prompt libraries and reusable pipelines. This is essential in enabling our product squads to deliver safe, effective and scalable AI features that support teachers and pupils across the UK.
You'll use your experience in software engineering and machine learning to develop reliable, transparent and responsible AI systems.
In this role, you may work on:
Enhancing Retrieval-Augmented Generation (RAG) pipelines, including context chunking, prompt construction and implementing strategies to improve relevance and accuracy.
Optimising embedding and vector similarity systems through semantic search, clustering, filtering logic, and dimensionality reduction techniques.
Supporting model evaluation and safety tooling, such as automated test harnesses, hallucination detection, content moderation and input guardrails.
Contributing to model fine-tuning, prompting and deployment, with a focus on balancing performance, accuracy, and cost-effectiveness.
This role is perfect for someone who enjoys working across the boundary between machine learning and software engineering, is passionate about safe and responsible AI, and wants their work to make a meaningful impact in education.
You'll be part of a supportive and collaborative team that cares deeply about accessibility, usability, and delivering tools that genuinely enhance learning.
🔧 What You’ll Be Doing
Develop and maintain web and data systems that meet our high standards of safety, security, reliability and accessibility
Lead the team on specific areas of the system, infrastructure, or code base.
Deliver high-quality software and services, using appropriate tools, testing, deployment and monitoring to ensure reliability and maintainability.
Share knowledge and provide guidance to less experienced colleagues.
As a member of the Oak Team, contribute to the planning and culture of the organisation
Work in cross-functional and product-oriented squads with colleagues from across the organisation, as required
Deputise for senior software engineers and take on other general responsibilities as required
🌱 What We’re Looking For
3+ years experience of continuously improving services using AI/ Web apps technologies
Knowledge of relevant common architectures, with some experience designing simple technical solutions based on product requirements
Professional experience building high-performing software using modern frameworks and libraries relevant to the product area (for example, NumPy, pandas, and scikit-learn).
Experience designing, testing, and deploying reliable software systems, including automated testing and, where relevant, evaluation of model or system performance using cloud-based tools.
Able to collaborate effectively in multidisciplinary teams and communicate clearly.
💛 Our Benefits
25 days annual leave, plus one extra day for each year of service (up to 28)
Additional Oak closure days over Christmas/New Year
11% employer pension contribution (with no minimum employee contribution)
A 36-hour working week, with half-days on Fridays or every other Friday off
Fully remote working — we’ll support your home set-up and offer coworking options if preferred
Twice-yearly in-person offsites to collaborate, connect, and have fun
A culture that genuinely supports flexibility, autonomy, and trust
🌈 Inclusion and Belonging
We believe diverse teams build better products. We warmly welcome applicants from all backgrounds, particularly those who are underrepresented in the tech and education sectors.
We use the Applied recruitment platform to help reduce bias in our hiring process.
📌 Key Info
Location: Remote, but you must be based in the UK with the legal right to work here
Sponsorship: Unfortunately, we’re unable to offer visa sponsorship at this time
Closing date: We’ll be reviewing applications as they come in and may close the role early
If this sounds like the kind of role and team where you could do your life’s best work, we’d love to hear from you.
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