Faculty on cord

Faculty

Lead Learning Scientist

External position
London, UK
Hiring internally for Faculty?
Consultancy · Machine Learning and AI
We help our clients use cutting edge AI to improve the performance of their business.
Active
over 6 months ago
Posted
a month ago
Checked
cord regularly checks that external positions are still open
16 hours ago

Skills & Experience

Job roles: AI Engineer
Experience level: Lead
Core skills considered: Artificial Intelligence, Machine Learning, Data Analysis, Technical Writing
Other skills considered: Project Management, Agile, Scrum, Stakeholder Management

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

As Lead Learning Scientist, you will ensure that our clients' AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for what trustworthy AI in education looks like. You will define and lead the learning science discipline at Faculty: setting the strategy for learning design and evaluation, creating and owning our Learning Science Playbook, and ensuring the systems we build genuinely improve how people learn.

Working closely with senior leadership and multidisciplinary delivery teams, you will shape the design of scalable, data-rich learning systems in close partnership with product, engineering and data science, and guide colleagues to embed best-in-class learning science into everything we design and build for clients.

This is a founding leadership mandate, and the variety and stakes are unusual: in a single year you might shape national curriculum-grounded infrastructure, the evaluation architecture for a high-stakes assessment product, and the safety case for an AI system used by children - in an organisation that treats evidence, evaluation and safety as the product, not a compliance afterthought.


What you'll be doing

  • Leading the design of learning goals, skill models, adaptivity logic and feedback systems across flagship client engagements - from national education infrastructure to tutoring, assessment and content-quality systems.
  • Creating and owning Faculty's Learning Science Playbook - defining best practice for scaffolding, feedback loops, measurement rubrics and data instrumentation (how we track learning progress through user interactions), applied across every build.
  • Designing and overseeing rigorous evaluations - formative, summative and quasi-experimental - that give clients credible evidence their systems improve learning, not just plausible outputs.
  • Partnering with product, data science and engineering leads within delivery squads to ensure learning systems are technically robust and pedagogically sound - translating learning science into requirements engineers can build and test against.
  • Contributing learning science expertise to Faculty's safety and assurance work, helping evidence that AI systems used in education are safe, effective and fit for purpose.
  • Coaching and mentoring colleagues across product, UX and data science to apply learning science principles in day-to-day design and delivery decisions.
  • Acting as the internal and external subject-matter expert on learning science, representing Faculty in strategic conversations with senior client stakeholders.

Who we're looking for


Essential

  • Expert-level knowledge of the learning sciences, instructional design, and cognitive or behavioural science.
  • The ability to translate learning science into clear, specific requirements that technical teams can build against - you make pedagogy build-able.
  • Strong working practice in evaluating and measuring learning impact (for example mastery, retention and transfer), including designing studies and deciding what data to capture.
  • Experience working with technical teams - engineers, data scientists or product developers - to shape what gets built. You need not have written the code yourself, but you have influenced how real systems were designed and can hold credibility with the people who build them.
  • Technical literacy in how AI systems are built, with a genuine appetite to deepen that knowledge quickly.
  • Excellent communication skills: able to influence senior stakeholders - internally and client-side - and to represent the discipline externally.

Desirable (not required)

  • Hands-on experience building AI-driven or adaptive learning systems.
  • Familiarity with LLM architectures, retrieval-augmented generation, evaluation harnesses or learning analytics pipelines.
  • Experience across multiple client or product contexts - for example consulting, agency or platform settings serving many institutions.

Company Benefits

  • Genuinely flexible working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty.
  • Equity, we want you to benefit from Faculty’s growth and success.
  • Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family.
  • Fantastic private health, optical and dental cover, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions.
  • Access to mental health coaching with Sanctus
  • Breakfast daily, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
      Lead Learning Scientist at Faculty
      Position posted a month ago

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      Starling Bank on cord

      Starling Bank

      Full Stack Engineer (ML Ops)

      London, UK
      FinTech · Banking · Finance
      A better bank for everyone
      Active
      over 6 months ago
      Responds to
      0% of requests
      Responds in
      1h 55m
      Requests
      7 pending

      Skills & Experience

      Job roles: Full Stack
      Experience level: Mid, Senior
      Core skills considered: Java, React, Redux, AWS, JavaScript

      Logistics

      Base salary: £70K - £110K
      Employment type: Permanent
      Remote working: Hybrid (up to 2 remote days p/w)
      Visa sponsorship: Not available

      Job Description

      Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

      Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

      We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

      Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

      The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

      Hybrid Working

      We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

      Our Data Environment

      Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

      We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

      Requirements

      We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

      We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

      • Design REST apis.
      • Code backend services, ideally using Java, or another other server side compiled language.
      • Develop modern front ends, ideally using React and Redux.
      • Get their code into the cloud and support it there, ideally on AWS.
      • Believe in clean coding, simple solutions, automated testing and continuous deployment.
      • Like to take ownership of a feature from the original idea through to live.
      • Think (like us) that a small number of empowered developers is the right way to deliver software.

      Company Benefits

      • 33 days holiday (including flexible bank holidays)
      • An extra day’s holiday for your birthday
      • 16 hours paid volunteering time a year
      • Part-time and/or flexible hours available for most roles
      • Salary sacrifice, company enhanced pension scheme
      • Life insurance at 4x your salary
      • Hybrid/remote working
      • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
      • Generous family-friendly policies
      • Varied social groups set up and run by our employees
      • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
      • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

      Full details are available on our careers site

      Interview Process

      Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

      • Stage 1 - 30 mins with one of the team
      • Stage 2 - Take home challenge
      • Stage 3 - 90 mins technical interview with two team members
      • Stage 3 - 45 min final with an executive and a member of the people team
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