UK

United Kingdom · Compliance, quality and safety · Principal/Manager (12-16 years)

Technology Ethics Manager

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports10-25 reports
  • Reports toDirector, Technology Ethics & Responsible Innovation
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Principal Technology Ethicist · Head of Responsible AI Governance · Senior Manager, Digital Trust & Ethics

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

Gateway Qualifications Level 4 Diploma in Data Analytics with Artificial Intelligence Gateway Qualifications Limited · Level 4 · covers 1 of 1 standard
Pearson BTEC Level 3 Technical Occupational Entry for Data Technicians (Certificate) Pearson Education Ltd · Level 3 · covers 1 of 1 standard
NCFE Level 4 Diploma: Data Analyst NCFE · Level 4 · covers 1 of 1 standard
OTHM Level 7 Diploma in Artificial Intelligence OTHM Qualifications · Level 7 · covers 1 of 1 standard
ETCAL Level 1 Award in Ethical use of Artificial Intelligence (AI) ETC Awards Limited · Level 1 · covers 1 of 1 standard

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Ethical practice and communication in data Gateway Qualifications Level 4 Diploma in Data Analytics with Artificial Intelligence
Applying Data Science Principles Pearson BTEC Level 3 Technical Occupational Entry for Data Technicians (Certificate)
Legislation and security standards applied to data analytics NCFE Level 4 Diploma: Data Analyst
Ethics, Fairness and Explanation in Artificial Intelligence OTHM Level 7 Diploma in Artificial Intelligence
Databases with SQL, ethics and machine learning Gateway Qualifications Level 4 Certificate in Professional Practice in Data Analytics with Artificial Intelligence
Ethical use of Artificial Intelligence (AI) ETCAL Level 1 Award in Ethical use of Artificial Intelligence (AI)

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Foresight Fluency seeing round the corner
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Technology Ethics Manager

6 units that map to this job, from the qualifications that cover it.

  1. Ethical practice and communication in data Gateway Qualifications Limited · covers 1 of 1 standards Level 4
  2. Applying Data Science Principles Pearson Education Ltd · covers 1 of 1 standards Level 3
  3. Legislation and security standards applied to data analytics NCFE · covers 1 of 1 standards Level 4
  4. Ethics, Fairness and Explanation in Artificial Intelligence OTHM Qualifications · covers 1 of 1 standards Level 7
  5. Databases with SQL, ethics and machine learning Gateway Qualifications Limited · covers 1 of 1 standards Level 4
  6. Ethical use of Artificial Intelligence (AI) ETC Awards Limited · covers 1 of 1 standards Level 1
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Technology Ethics Manager?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Strategic Foresight & Horizon Scanning for AI
  • Global AI Ethics & Regulatory Harmonisation
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Technology Ethics Manager plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

A technology ethics manager checks that technology is built and used fairly and responsibly across an organisation.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

OneTrust / ServiceNow GRC / LogicGate Strategic

Leading platform selection (RFP process), architecting integrations with other enterprise systems, and defining the enterprise-wide GRC data model for ethical reviews and risk management.

Credo AI / Fiddler AI / IBM Watson OpenScale Architect

Setting enterprise standards for AI model validation, owning vendor relationships, and integrating these tools into the MLOps lifecycle to ensure continuous ethical monitoring.

NAVEX (PolicyTech, EthicsPoint) / Convercent Strategic

Owning the entire ethics & compliance technology ecosystem, ensuring seamless data flow between case management, policy, and training platforms, and driving strategic improvements.

MS Teams, SharePoint, Confluence, Miro Strategic

Championing and enforcing documentation standards across the enterprise to ensure a defensible audit trail for all ethical decisions, and using these for high-level programme planning and stakeholder engagement.

Power BI / Tableau / Diligent Boards Expert

Designing the executive reporting strategy, building and maintaining board-level dashboards tracking key risk indicators (KRIs) for tech ethics, and preparing materials for Board risk committee meetings.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Strategic Programme Direction Escalate to Senior Analyst for guidance. Propose options and recommendations to Manager for approval. Define and recommend strategy to Lead/Director for final approval.
Team Hiring & Performance No hiring authority; provide input on candidate fit. Participate in interviews, provide feedback to hiring manager. Lead interviews for junior roles, make hiring recommendations to Manager.
Budget Allocation & Vendor Selection No budget authority; request resources from supervisor. Suggest tools/resources; Manager approves small purchases (under £1K). Recommend tooling/vendor options; Manager approves purchases up to £5K.
Ethical Risk Acceptance/Mitigation Identify risks, propose initial mitigation, escalate for decision. Assess risks, recommend mitigation, Manager approves for medium risks. Lead risk assessments for high-risk projects, recommend go/no-go with conditions to Manager.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Ethical Risk Reduction Score
The aggregate score reflecting the reduction in identified high-severity ethical risks across all new technology projects.
Target · Achieve a 20% reduction in high-severity ethical risks within 12 months.

If Q1 identified 10 high-severity risks and Q2 identified 8 (with similar project volume), that's a 20% reduction.

Ethical Policy Adoption Rate
Percentage of relevant engineering and product teams that have formally adopted and integrated new ethical guidelines or policies into their development lifecycle.
Target · 90% adoption rate for critical ethical policies within 6 months of release.

After releasing the 'Fairness in AI Deployment' policy, 18 out of 20 relevant teams confirm integration into their sprint planning and code reviews.

Team Productivity & Efficiency
Average time taken for your team to complete a comprehensive ethical review for a medium-to-high risk project, from intake to sign-off.
Target · Reduce average review cycle time by 15% without compromising quality, aiming for an average of 15 business days.

If the average review time was 20 days last quarter, getting it down to 17 days this quarter shows good progress.

Training & Awareness Reach
Number of employees trained on core technology ethics principles and the overall engagement with ethical awareness programmes.
Target · Train 80% of relevant technical and product staff annually, with an average engagement score of 4 out of 5 on feedback surveys.

Running 12 workshops this year, reaching 500 engineers and product managers, with an average satisfaction of 4.2/5.

Proactive Ethical Integration
The degree to which ethical considerations are genuinely embedded early in the product lifecycle, rather than being an afterthought.
  • Product and engineering leads proactively invite you to initial concept discussions
  • ethical considerations are consistently part of sprint planning
  • fewer '11th-hour' ethical issues arise
  • your team is seen as a partner, not a blocker.
Organisational Influence & Credibility
Your ability to influence strategic decisions and build trust across senior leadership and critical departments.
  • You're regularly consulted by SVPs and Directors on new initiatives
  • your recommendations are consistently adopted, even when challenging
  • you're asked to present to the Board on technology ethics matters
  • other departments seek your team's advice before starting projects.
Team Leadership & Development
The effectiveness of your leadership in building, mentoring, and developing a high-performing technology ethics team.
  • High team retention rates
  • clear progression paths for your direct reports
  • positive feedback in 360-degree reviews
  • your team members are seen as subject matter experts by other departments
  • successful hiring and onboarding of new talent.
External Thought Leadership & Reputation
Your contribution to establishing the company as a leader in responsible technology and ethical innovation externally.
  • You represent the company at industry conferences or regulatory forums
  • you contribute to white papers or industry standards
  • positive mentions in relevant industry publications
  • your insights are sought by external partners or regulators.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Driving Real-World Impact

You get a buzz from knowing your work prevents harm and builds a more trustworthy future for technology. You're motivated by the idea that your decisions protect vulnerable groups or build a fairer system, even if it's behind the scenes.

Successfully influencing a product decision that removes a potential bias in an AI-driven feature, knowing it will positively affect thousands of users.

Building & Shaping Programmes

You love the challenge of taking an abstract concept like 'AI ethics' and turning it into concrete policies, processes, and a functioning team. You enjoy the strategic work of designing systems and seeing them come to life.

Architecting a new enterprise-wide AI governance framework and seeing it adopted by all relevant teams, complete with clear roles and responsibilities.

Leading & Developing Talent

You're passionate about mentoring and growing your team, helping them navigate complex ethical dilemmas and become future leaders in the field. You enjoy delegating, coaching, and seeing your reports thrive.

A junior manager on your team successfully leads their first high-stakes ethical review, crediting your guidance and support.

What frustrates people
  • Being brought in at the 11th hour to 'bless' a product, rather than being involved from the initial concept stage (the classic 'ethics-as-a-checkbox' problem).
  • The immense difficulty of demonstrating the ROI of your work, which is often preventing a crisis that, because of your success, never happens.
  • Trying to implement thoughtful, deliberative ethical frameworks within an Agile development process that prioritises speed and iteration above all else.
  • The constant exposure to the potential negative human impact of technology, from algorithmic bias to surveillance, can be emotionally draining.
  • The 'Chief Reminding Officer' syndrome: constantly having to re-educate teams on the same foundational ethical principles for each new project.
  • Hearing 'But the competitor is doing it!' as a justification for deploying a risky technology, and having to argue for ethics as a competitive advantage rather than a constraint.
What this role does not give you
  • A quiet, predictable work environment with minimal conflict.
  • Direct control over product roadmaps or engineering resources.
  • Immediate, tangible, and easily quantifiable 'wins' on a daily basis.
  • A role where you're always popular or seen as the 'yes' person.

8Who you work with

This role directly shapes our organisational strategy around responsible technology. You'll be responsible for building capabilities that protect our brand, ensure regulatory adherence, and foster a culture of ethical innovation. Your decisions will influence product roadmaps, data governance, and ultimately, our market position and public trust. It's about owning a significant piece of our long-term strategic defence.

Inside the business
  • SVP of Product & Engineering
  • Head of Legal & Regulatory Affairs
  • Chief Data Officer
  • Executive Leadership Team (ELT)
  • Internal Audit & Risk Committees
Outside the business
  • Industry Regulators (e.g., ICO, CMA)
  • Ethical AI Research Bodies
  • External Auditors
  • Key Technology Vendors

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Proven experience (10+ years) in technology ethics, privacy, or responsible AI, with at least 3-5 years in a leadership or programme management role.
  • Demonstrable experience building and leading a team, including hiring, mentoring, and performance management.
  • Deep understanding of the technical aspects of AI/ML, data science, and software development, even if you're not coding daily.
  • Extensive experience applying ethical frameworks to real-world technology products and services.
  • A track record of successfully influencing senior stakeholders and driving organisational change in complex environments.
  • Expertise in at least one major GRC or AI governance platform (e.g., OneTrust, Credo AI) at a strategic level.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Explainable AI (XAI) & Interpretability Techniques

As AI models become more complex (e.g., deep learning), merely knowing what they do isn't enough. You'll need a deeper understanding of how they arrive at decisions and why they might fail, to effectively challenge and mitigate risks.

LIME, SHAP, and other post-hoc explanation methods · Causal inference in AI systems · Counterfactual explanations · Model debugging and error analysis · Understanding the trade-offs between interpretabil

  • This quarter: Attend a workshop or online course on advanced XAI techniques.
  • Next 6 months: Work with a data science lead to deep-dive into the explainability reports of one of our high-risk AI models.
  • Next 12 months: Lead an internal discussion on how we can improve the interpretability of our key AI systems.
  • Ongoing: Read academic papers on the latest in XAI research.

Quick win: Ask your data science teams to walk you through their current XAI practices. Challenge them on what they can't explain.

Privacy-Enhancing Technologies (PETs) & Homomorphic Encryption

With increasing data privacy concerns and regulations, understanding PETs isn't just for privacy engineers anymore. You'll need to grasp how these technologies can enable ethical data use while minimising privacy risks, and advise on their strategic adoption.

Differential privacy and its application · Federated learning and decentralised AI · Homomorphic encryption principles · Secure multi-party computation · Synthetic data generation for ethical testing

  • This quarter: Research the practical applications of differential privacy in industry.
  • Next 6 months: Engage with our security and engineering teams on potential use cases for PETs within our product roadmap.
  • Next 12 months: Develop a strategic recommendation for the adoption of specific PETs to enhance our ethical posture.
  • Ongoing: Monitor vendor offerings and research developments in PETs.

Quick win: Read a few introductory articles on federated learning and its ethical benefits. Discuss with your team how these could change our approach to data sharing.

11Staying current once you are in

What people here do to keep up
  • Regularly attending industry conferences and workshops on AI ethics, privacy, and responsible innovation (e.g., IAPP, Responsible AI Summit).
  • Contributing to industry working groups or standards bodies (e.g., IEEE, ISO) to help shape the future of technology ethics.
  • Mentoring junior professionals in the field, as teaching is often the best way to solidify your own understanding.
  • Publishing articles or thought leadership pieces on relevant topics to establish yourself and the company as a leader in the space.
  • Engaging in continuous learning through online courses, academic papers, and ethical case studies.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Strategic Foresight & Horizon Scanning for AI

The pace of AI development means ethical challenges emerge faster than regulations can keep up. You need to anticipate the next wave of ethical dilemmas (e.g., synthetic media, advanced neurotech) before they become crises, positioning the organisation to respond proactively.

  • Scenario planning for ethical risks
  • Weak signal detection in emerging tech
  • Anticipatory governance models
  • Ethical 'red teaming' for future products
  • Developing organisational resilience to novel ethi

Global AI Ethics & Regulatory Harmonisation

With different regions (EU, UK, US, China) developing distinct AI regulations, you'll need to navigate a complex, fragmented global landscape. The ability to build a cohesive, globally compliant, yet locally adaptable ethical strategy will be paramount.

  • Comparative analysis of global AI regulations (EU
  • Principles of regulatory interoperability and dive
  • Developing a 'global minimum' ethical standard wit
  • Engaging with international standards bodies (e.g.
  • Managing multi-jurisdictional ethical risk assessm

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • AI Risk Management (NIST AI RMF & EU AI Act)
  • Ethical Framework Application
  • Privacy by Design (PbD) & Privacy Engineering
  • Algorithmic Impact Assessments (AIA) & DPIAs
  • Sociotechnical Systems Analysis

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Senior Technology Ethicist / Lead AI Governance Specialist

    3-5 years in this role before moving to Manager

    Skills to master

    • Deep expertise in a specific area of tech ethics (e.g., AI fairness, privacy engineering), leading complex ethical reviews, influencing cross-functional teams, and informally mentoring junior colleagues.

    You're ready to move on when

    • Consistently delivering high-quality, impactful ethical assessments for high-risk projects.
    • Proactively identifying and proposing solutions for systemic ethical issues.
    • Demonstrating strong leadership potential and a desire to manage a team.
    • Successfully leading significant ethical policy or process improvement initiatives.
  2. 2

    Privacy Manager / Data Governance Manager

    4-6 years in this role before moving to Technology Ethics Manager

    Skills to master

    • Strong understanding of data protection regulations, experience with DPIAs and privacy by design, managing privacy programmes, and working closely with legal and engineering teams. You'd need to build up your AI-specific ethics knowledge.

    You're ready to move on when

    • Proven track record of building and managing effective privacy programmes.
    • Demonstrable ability to translate legal requirements into actionable technical guidance.
    • A clear interest and self-driven learning in the broader ethical implications of technology, beyond just privacy.
    • Experience managing cross-functional projects and influencing stakeholders.
  3. 3

    Product Manager (with strong ethical focus)

    5-7 years in this role before moving to Technology Ethics Manager

    Skills to master

    • Deep understanding of product development lifecycle, user experience, and market dynamics, combined with a strong personal commitment to ethical product design. You'd need to build out your governance and compliance expertise.

    You're ready to move on when

    • Successfully launched products with demonstrable ethical considerations embedded from the start.
    • A strong advocate for responsible innovation within product teams.
    • Demonstrated ability to balance commercial goals with ethical imperatives.
    • A desire to shift from building products to building the ethical framework for all products.

15Where this role leads

The long view: This work can lead to senior roles setting ethics and trust policy, or to leading responsible product development.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Technology Ethics Manager is actually changing.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • Principal Ethicist / Distinguished Engineer (IC Path - L5/L6 equivalent)

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Ethical practice and communication in data, worked against Technology Ethics Manager.

Ethical practice and communication in data Level 4

Applied to your work in Technology Ethics Manager

This unit aims to provide learners with an understanding of ethical considerations, data privacy, and governance in data analytics practices. Learners will be able to clarify and present complex data insights to diverse audiences and review and revise data analytics project plans, ensuring responsible and compliant data handling.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

Start my Technology Ethics Manager plan, free
See Your Progress Grow Illustration
Technology Ethics Manager
  • AI Risk Management (NIST AI RMF & EU AI Act)
  • Ethical Framework Application
  • Privacy by Design (PbD) & Privacy Engineering
  • Algorithmic Impact Assessments (AIA) & DPIAs
  • Sociotechnical Systems Analysis
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Technology Ethics Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director, Technology Ethics & Responsible Innovation (L6)

    3-5 years as Technology Ethics Manager

    This is a significant step up, moving from managing a programme to shaping the multi-year strategy for the entire function and reporting directly to C-suite.

    • Developing global regulatory engagement strategies
    • Architecting enterprise-wide ethical AI platforms
    • Leading cross-functional executive steering committees
    • Defining organisational ethical risk appetite

  2. Principal Ethicist / Distinguished Engineer (IC Path - L5/L6 equivalent)

    3-5 years as Technology Ethics Manager (or directly from Lead Specialist)

    This is an individual contributor path, focusing on deep expertise and thought leadership without direct people management, often at a comparable compensation level to a Director.

    • Designing novel ethical assessment methodologies for cutting-edge tech
    • Deep technical expertise in privacy-enhancing technologies or AI explainability
    • Leading cross-industry ethical collaborations
    • Acting as an internal 'ethics consultant' for the most challenging projects
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, managing a technology ethics programme at scale involves a lot of reading, analysis, and communication. What if you could offload some of that heavy lifting to AI and focus on the truly strategic, human-centric challenges?

Our AI Productivity Hub isn't just about buzzwords; it's about giving you and your team practical tools to automate the tedious bits of ethical governance. Imagine having more time to build relationships, refine strategy, and tackle the really complex dilemmas, rather than getting bogged down in repetitive tasks. Here's how AI can genuinely help you lead your team and programme more effectively.

Policy Gap Analysis Automation

Use an LLM (large language model) trained on global regulations to perform an initial gap analysis of internal policies against new legislation (like the EU AI Act). It'll highlight clauses that need human review, saving your team hours of manual cross-referencing.

Emerging Risk Synthesis

Deploy an AI agent to continuously monitor academic papers, regulatory news, and tech journalism. It'll provide you with a weekly, synthesised brief on emerging sociotechnical risks and trends directly relevant to our product portfolio. No more sifting through hundreds of articles yourself.

First-Draft Generation

Use generative AI to create the initial draft of training materials, impact assessments, or committee meeting minutes based on structured inputs and templates. This frees up your team to focus on refinement, critical analysis, and adding that essential human touch, rather than staring at a blank page.

Plain-Language Translation

Use an LLM to translate dense, technical engineering documents or complex legal regulations into clear, concise summaries. You can tailor these for different audiences – think an executive brief, a marketing FAQ, or even a simple explanation for a new joiner. It's about making complex ethics accessible.

Common questions

Common questions

How do you become a Technology Ethics Manager?

Common routes in include Senior Technology Ethicist / Lead AI Governance Specialist (3-5 years in this role before moving to Manager), Privacy Manager / Data Governance Manager (4-6 years in this role before moving to Technology Ethics Manager) and Product Manager (with strong ethical focus) (5-7 years in this role before moving to Technology Ethics Manager). Times vary with prior experience.

Where can a Technology Ethics Manager progress to?

This role can lead on to Director, Technology Ethics & Responsible Innovation (3-5 years as Technology Ethics Manager) and Principal Ethicist / Distinguished Engineer (3-5 years as Technology Ethics Manager (or directly from Lead Specialist)), depending on the skills you build.

What new skills matter most for a Technology Ethics Manager?

Increasingly, Strategic Foresight & Horizon Scanning for AI and Global AI Ethics & Regulatory Harmonisation. These are the skills our record of this role lists as growing.

Free tools

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17Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in compliance, quality and safety

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills carry across industries such as healthcare, finance and automotive, wherever technology ethics matters. They can also lead into policy roles in government or non-profit organisations focused on responsible technology.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my Technology Ethics Manager plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.