UK

United Kingdom · Technology and data · Senior (5-8 years)

Senior Robotics Engineer

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 bandSenior (5-8 years)
  • Direct reportsNo direct reports
  • Reports toLead Robotics Engineer or Staff Robotics Engineer
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Robotics Lead · Senior Mechatronics Engineer · Robotics Software Engineer (Senior)

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

EAL Level 3 NVQ Extended Diploma in Engineering Technical Support Excellence, Achievement & Learning Limited · Level 3 · covers 3 of 4 standards
EAL Level 4 NVQ Extended Diploma in Engineering Manufacture Excellence, Achievement & Learning Limited · Level 4 · covers 2 of 4 standards
EAL Level 3 NVQ Extended Diploma in Mechanical Manufacturing Engineering Excellence, Achievement & Learning Limited · Level 3 · covers 2 of 4 standards
ETCAL Level 3 NVQ Diploma in Engineering Technical Support ETC Awards Limited · Level 3 · covers 1 of 4 standards
EAL Level 3 Diploma in Advanced Manufacturing and Engineering - Technical Support Technician (Development Competence) Excellence, Achievement & Learning Limited · Level 3 · covers 1 of 4 standards
EAL Level 3 NVQ Extended Diploma in Engineering Maintenance Excellence, Achievement & Learning Limited · Level 3 · covers 1 of 4 standards

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

The units you would start with

Producing Operating Programs for Industrial Robots EAL Level 3 NVQ Extended Diploma in Engineering Technical Support
Preparing and using industrial robots EAL Level 4 NVQ Extended Diploma in Engineering Manufacture
Producing operating programs for industrial robots: EAL Level 3 Diploma in Advanced Manufacturing and Engineering - Technical Support Technician (Development Competence)

The future skills this job leans on

Data Fluency turning numbers into a decision
Automation Fluency building AI into how work runs
Sustainability Fluency building care for people and planet into the work
Frontier Fluency the next wave, beyond mainstream AI
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Senior Robotics Engineer

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

  1. Producing Operating Programs for Industrial Robots Excellence, Achievement & Learning Limited · covers 3 of 4 standards Level 3
  2. Preparing and using industrial robots Excellence, Achievement & Learning Limited · covers 2 of 4 standards Level 4
  3. Producing operating programs for industrial robots: Excellence, Achievement & Learning Limited · covers 1 of 4 standards Level 3
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 Senior Robotics Engineer?

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

  • Reinforcement Learning for Robotics
  • Digital Twin & Advanced Simulation
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 Senior Robotics Engineer 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 senior robotics engineer builds and fixes complex robotic systems so they work reliably in the real world.

4What you'd actually use

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

ROS / ROS 2 Advanced

Designing and building complex, multi-node robotic systems from scratch. Creating custom messages and services. Debugging intricate timing and networking issues across multiple robot components.

Python (NumPy, SciPy, pandas) Advanced

Rapid prototyping of algorithms, data analysis for sensor validation, scripting complex test sequences, and developing high-level robot behaviours.

C++ (modern C++11/14/17) Advanced

Writing performant, memory-efficient code for real-time control loops, low-level hardware drivers, and computationally intensive algorithms where every microsecond counts.

Gazebo / Ignition Advanced

Creating custom worlds, robot models (SDF), and plugins to accurately simulate complex sensor noise and environmental interactions. You'll use this to thoroughly test algorithms before real-world deployment.

SolidWorks / Fusion 360 Intermediate

Designing complex multi-part assemblies for robot modifications, running basic interference checks, and creating detailed manufacturing drawings for custom brackets or components. You'll work closely with mechanical engineers here.

Git / GitHub Advanced

Managing complex branching strategies (e.g., GitFlow), confidently resolving merge conflicts, using rebasing and cherry-picking, and setting up automated CI/CD pipelines for robust code delivery.

KiCad / Eagle Intermediate

Designing simple custom PCBs for sensor breakouts or motor controllers, selecting appropriate components, and generating Gerber files for manufacturing. You'll need to read schematics and understand basic circuit design.

Jira / Confluence Advanced

Creating detailed technical specifications, writing comprehensive design documents, tracking complex bug reports, and leading sprint planning or backlog grooming sessions for your workstreams.

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
Technical Approach for a Feature Proposes options, manager makes final decision. Proposes and justifies chosen approach, manager reviews and approves. Defines and implements chosen approach, informs manager; consults on significant architectural changes.
Project Timeline Adjustments Flags potential delays to manager. Identifies delays, proposes new timeline to manager for approval. Identifies delays, proposes and justifies revised timeline and mitigation plan to manager for discussion and alignment.
Mentoring Junior Engineers Receives mentorship. Provides informal guidance when asked. Actively mentors 1-2 junior engineers, providing regular feedback and technical guidance.
Purchasing Small Components/Tools (under £5K) Requests items from manager. Identifies need, gets manager approval for purchase. Identifies need, researches options, recommends and gets manager approval; may have delegated authority for routine purchases.

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.

Workstream Delivery Rate
The percentage of your assigned workstreams or major features that are delivered on time and within agreed specifications.
Target · 90% on-time completion for major feature workstreams

Leading the development of the new gripper control system: delivered fully functional and integrated within the agreed 8-week timeline, meeting all performance specs.

System Performance Improvement
Measurable improvements in key performance indicators (KPIs) for the robotic subsystems you're responsible for, such as cycle time, accuracy, or uptime.
Target · Achieve a 15% reduction in task cycle time for a specific robotic workcell or a 10% increase in system uptime.

Optimised the path planning algorithm for a pick-and-place robot, reducing the average time per pick by 0.5 seconds, leading to a 15% overall cycle time improvement for that task.

Code Quality & Maintainability
The quality of your code and contributions, measured by review feedback, adherence to coding standards, and the ease with which others can understand and modify it.
Target · <5% of pull requests requiring significant rework; consistent positive feedback in code reviews.

Submitted a complex sensor fusion module with clear comments, comprehensive unit tests, and passed all automated checks, receiving 'LGTM' (Looks Good To Me) from senior peers without major change requests.

Mentorship Impact
The growth and increased capability of the junior engineers you mentor, evidenced by their ability to take on more complex tasks and their overall contribution to the team.
Target · 1-2 mentored engineers taking on significantly more scope or receiving positive performance reviews within 12-18 months.

Helped a junior engineer debug a tricky ROS communication issue over several sessions, resulting in them independently resolving similar problems later and confidently owning a new driver development.

Technical Leadership & Problem Solving
Your ability to diagnose complex, multi-disciplinary problems (hardware, software, electrical) and lead the team towards effective solutions. This isn't just about fixing bugs, it's about figuring out the *root cause*.
  • You're the first person others come to with tricky technical issues. You can clearly articulate complex problems and proposed solutions to both technical and non-technical audiences. You proactively identify potential risks in designs and propose mitigation strategies. You lead post-mortem analyses effectively, ensuring lessons are learned.
Cross-Functional Collaboration
How well you work with other teams like Mechanical Design, Electrical Engineering, and Product. It's about getting everyone on the same page to deliver integrated solutions.
  • You're regularly invited to design review meetings for other disciplines. You proactively share information and updates with relevant teams. You can mediate technical disagreements between different engineering groups. You help define clear interfaces between hardware and software components, preventing integration headaches down the line.
Design for Robustness & Maintainability
Your approach to designing systems that aren't just functional, but also resilient to real-world conditions and easy for others to maintain and extend in the future.
  • Your designs incorporate error handling, fault tolerance, and clear logging. You consider future scalability and modularity in your architectural choices. Your documentation is thorough and kept up-to-date. You advocate for sensible testing strategies (unit, integration, system) to ensure reliability.

7Would you like it

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

What people enjoy
Solving Genuinely Hard Technical Problems

You're energised by the challenge of making a complex system work, especially when it involves multiple disciplines. You enjoy the process of debugging, optimising, and seeing tangible results.

Spending a week deep-diving into a tricky sensor fusion issue, finally getting the robot's localisation to be rock-solid, and feeling a real sense of accomplishment.

Tangible Impact & Seeing Your Work Deployed

You want to build things that actually get used in the real world, not just sit on a shelf. The idea of your code controlling a physical robot that performs a valuable task is a big driver.

Watching the robotic arm you've been working on successfully complete its task on the factory floor for the first time, knowing your code is making a real difference.

Mentoring & Developing Others

You get satisfaction from helping junior engineers learn, grow, and overcome their own technical challenges. You enjoy sharing your knowledge and seeing others succeed.

Guiding a junior engineer through their first complex ROS package development, providing code review and advice, and seeing them deliver a robust solution.

What frustrates people
  • The 'Is it Hardware or Software?' Black Hole: Wasting a full day debugging code, only to find out it was a loose crimp on a connector or a dodgy power supply.
  • Vendor Datasheet Lies: Trying to integrate a new sensor whose documentation is poorly translated, incomplete, or just plain wrong, forcing you to reverse-engineer its behaviour.
  • Scope Creep via YouTube: A product manager sees a new Boston Dynamics video and asks, 'Can we make our robot do that?' without understanding the decade of R&D behind the 30-second clip.
  • The Tyranny of the Weakest Link: Designing a beautiful control algorithm that's ultimately crippled by a cheap, noisy IMU that the purchasing department bought to save £50.
  • Debugging in Physical Space: Your bug isn't just a line of code; it's a 200kg machine you have to physically power cycle, re-flash, and test, often in a cramped, noisy lab.
What this role does not give you
  • A purely theoretical or academic environment – you're building real things here, not just publishing papers.
  • A perfectly clean, predictable, or fully documented codebase/hardware stack – there's always some legacy to deal with.
  • A role where you only ever work on greenfield projects – you'll be maintaining and improving existing systems too.
  • A '9-to-5, switch off completely' job every day – sometimes, especially when a robot is down, you'll need to put in extra hours to get it back online.

8Who you work with

This role is absolutely critical for delivering functional, reliable robotic systems. Your work directly contributes to the core product offerings and project successes that keep our business moving forward. Get it right, and we ship on time with happy customers; get it wrong, and we face significant delays and reputational damage.

Inside the business
  • Lead and Staff Robotics Engineers (your direct manager and senior peers)
  • Mechanical Design Engineers (you'll work closely on physical integrations)
  • Electrical Engineers (for PCB design, power, and sensor integration)
  • Product Managers (to understand requirements and provide technical feasibility)
  • Quality Assurance Team (for testing and validation)
Outside the business
  • Key vendors for specific robotic components (e.g., motor manufacturers, sensor suppliers)
  • Sometimes, senior client technical teams (when discussing complex integrations or troubleshooting)

9What you need before you start

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

  • A solid 2-5 years of hands-on experience as a Robotics Engineer or similar role, where you've owned and delivered significant robotic subsystems.
  • Proven ability to debug complex issues involving both hardware and software, demonstrating a systematic approach to problem-solving.
  • Strong proficiency in C++ and Python for robotics development, including experience with ROS/ROS 2.
  • Experience designing and implementing control algorithms, sensor fusion techniques, and path planning for real robots.
  • A clear understanding of version control (Git) and collaborative development workflows (pull requests, code reviews).
  • Experience with CAD software (like SolidWorks or Fusion 360) for inspecting and modifying robot designs.

10What to practise next

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

Advanced ROS 2 Development & Architecture

ROS 2 is becoming the industry standard, and you'll need to move beyond basic node development. This means understanding DDS implementations, real-time considerations, security, and designing scalable, distributed robotic systems.

DDS (Data Distribution Service) concepts and imple · Real-time communication and quality of service (Qo · ROS 2 security (SROS2) · Cross-platform deployment strategies · Integration with embedded systems

  • This month: Dive deep into ROS 2 QoS settings and their impact on performance.
  • Month 2: Experiment with SROS2 to understand security implications.
  • Month 3: Design a multi-robot system architecture using ROS 2, considering communication and coordination.
  • Month 4: Contribute to an open-source ROS 2 package or develop a complex custom message type.

Quick win: Migrate a simple ROS 1 node you've written to ROS 2, paying attention to the differences in API and build systems.

Hardware-in-the-Loop (HIL) Testing

As our robots become more safety-critical and complex, testing purely in software simulation isn't enough. HIL testing, where real hardware components are integrated into a simulated environment, becomes essential for rigorous validation and verification.

Test harness design for HIL systems · Real-time data exchange between simulation and har · Fault injection testing · Verification and validation methodologies for HIL · Integration with existing CI/CD pipelines

  • This month: Research HIL testing frameworks and best practices in robotics.
  • Month 2: Identify a critical hardware component in one of our robots that could benefit from HIL testing.
  • Month 3: Prototype a basic HIL setup for that component, even if it's just a single sensor or motor driver.
  • Month 4: Document the benefits and challenges of integrating HIL into our development workflow.

Quick win: Watch some YouTube videos or read articles on HIL testing in the automotive or aerospace industry – the principles are very similar.

11Staying current once you are in

What people here do to keep up
  • Actively contributing to open-source robotics projects (e.g., ROS, MoveIt!).
  • Attending industry conferences and workshops (e.g., ICRA, IROS, ROSCon).
  • Regularly reading academic papers and industry publications on new algorithms and technologies.
  • Participating in online courses or specialisations in advanced control, machine learning for robotics, or digital twins.
  • Mentoring junior engineers or students through hackathons or university projects.

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.

Reinforcement Learning for Robotics

Traditional control methods are great, but RL offers a way for robots to learn complex behaviours directly from experience, especially in unstructured environments. Competitors are already experimenting with this for tasks that are hard to hand-code, like delicate manipulation or adaptive navigation.

  • Markov Decision Processes (MDPs)
  • Q-learning and policy gradients
  • Sim-to-real transfer for RL policies
  • Reward function design and shaping
  • Exploration vs. exploitation strategies

Digital Twin & Advanced Simulation

As robots become more complex and deployments more critical, having a 'digital twin' – a high-fidelity virtual replica – allows us to test, optimise, and predict behaviour without touching the physical hardware. This is crucial for reducing development time, improving reliability, and enabling predictive maintenance.

  • High-fidelity physics engines (e.g., NVIDIA Isaac
  • Real-time data synchronisation between physical an
  • Sensor modelling and noise emulation
  • Cloud-based simulation for large-scale testing
  • Sim-to-real domain randomisation

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Kinematics & Dynamics
  • Control Systems Theory
  • Sensor Fusion
  • Path Planning & Navigation
  • Computer Vision for Robotics
  • Mechatronics Integration

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

    From Robotics Engineer (L2)

    2-3 years at the L2 level

    Skills to master

    • You'd have consistently owned and delivered complete subsystems, demonstrated strong problem-solving skills across hardware/software, and started informally guiding junior peers.

    You're ready to move on when

    • Successfully led 2-3 significant features from design to deployment without constant supervision.
    • Consistently identified and resolved complex bugs that others struggled with.
    • Actively participated in design reviews, offering valuable technical insights.
    • Received positive feedback on your ability to mentor or support newer team members.
  2. 2

    From Specialist Engineer (e.g., Controls, Vision)

    5-7 years in a specialist role

    Skills to master

    • You'd need to broaden your expertise beyond your specialisation, demonstrating a solid understanding of the full robotics stack (mechanical, electrical, software integration) and an ability to lead multi-disciplinary work.

    You're ready to move on when

    • Developed a deep understanding of how your specialisation impacts other robotics subsystems.
    • Successfully integrated your specialist solutions into larger, complex robotic platforms.
    • Proactively learned and applied knowledge from outside your core specialisation.
    • Demonstrated strong communication skills across different engineering disciplines.
  3. 3

    From Research Engineer / Postdoc

    3-5 years post-PhD / research

    Skills to master

    • You'd need to translate strong theoretical knowledge and research experience into practical, production-ready engineering. This means focusing on robustness, maintainability, and delivery within commercial constraints.

    You're ready to move on when

    • Successfully transitioned academic prototypes into robust, tested, and documented code.
    • Demonstrated an understanding of engineering best practices (version control, testing, code reviews).
    • Showcased an ability to work effectively within a product development lifecycle.
    • Proven capability to work collaboratively in a team setting, not just independently.

15Where this role leads

The long view: This work can lead to a principal engineer role focused on deep technical problems, or a director role overseeing robotics teams and their delivery.

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 Senior Robotics Engineer is actually changing.

Where it leads

Roles this leads to

The record names a next step, but the catalogue has no page for it yet:

  • To Staff Robotics Engineer (L4)
  • To Robotics Engineering Manager (L5)

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 Producing Operating Programs for Industrial Robots, worked against Senior Robotics Engineer.

Producing Operating Programs for Industrial Robots Level 3

Applied to your work in Senior Robotics Engineer

The objective of this unit is to enable learners to produce operating programs for industrial robots. Learners will develop, simulate, test, and optimise robot programs using appropriate programming languages and tools, while also understanding robot types, programming principles, and safety considerations.

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 Senior Robotics Engineer plan, free
See Your Progress Grow Illustration
Senior Robotics Engineer
  • Kinematics & Dynamics
  • Control Systems Theory
  • Sensor Fusion
  • Path Planning & Navigation
  • Computer Vision for Robotics
  • Mechatronics Integration
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

Senior Robotics Engineer is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. To Staff Robotics Engineer (L4)

    3-5 years as a Senior Robotics Engineer

    This is a significant jump, moving from leading workstreams to architecting entire systems and setting technical direction.

    • System Architecture Design Designing the high-level architecture for new robotic systems or major platform upgrades.
    • Advanced Simulation & Modelling Leading the development of high-fidelity simulation environments and digital twins.
    • Technical Due Diligence Evaluating new technologies, vendors, or potential acquisitions from a deep technical perspective.
    • Performance Optimisation at Scale Identifying and resolving performance bottlenecks across entire robotic fleets.

  2. To Robotics Engineering Manager (L5)

    4-6 years as a Senior Robotics Engineer

    This pathway shifts your focus from individual technical contribution to leading and developing a team of engineers.

    • Team Building & Hiring Recruiting, interviewing, and onboarding new robotics engineers.
    • Technical Strategy & Roadmap Translating business objectives into a clear technical roadmap for your team.
    • Process Improvement Optimising engineering workflows, development methodologies, and quality assurance processes.
    • Risk Management Identifying and mitigating technical and project risks across your team's initiatives.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, robotics engineering involves a lot of repetitive tasks, digging through research papers, and writing boilerplate code. What if you could offload some of that to AI and focus on the really interesting, hard problems?

We're not talking about replacing engineers; we're talking about giving you a serious productivity boost. Our team is actively exploring and integrating AI tools to make our daily work smoother, faster, and frankly, more fun. Here's how AI could change your day-to-day as a Senior Robotics Engineer:

Copilot for ROS Nodes

Imagine AI code assistants like GitHub Copilot generating the boilerplate for new ROS nodes, message definitions, and launch files. It's brilliant at handling the repetitive setup, freeing you up to focus on the complex, core logic of your robot's behaviour. Think of it as having an incredibly fast junior dev at your fingertips.

Predictive Failure Analysis

Feed logs of sensor data and motor currents into an ML model. This can detect subtle anomalies that predict imminent mechanical or electrical failures before they happen. This means shifting maintenance from reactive (when something breaks) to predictive (preventing it), saving us loads of costly downtime and keeping our robots running reliably.

AI Research Assistant

Use Large Language Models (LLMs) like ChatGPT-4 or Perplexity to summarise the latest academic papers on tricky topics like advanced SLAM algorithms or obscure control theory. You can ask it to explain complex mathematical concepts in simpler terms or even generate pseudo-code for an algorithm you're trying to implement. It's like having a dedicated research intern.

Automated Design Docs

AI tools can automatically generate documentation stubs from your C++ or Python code, or even create first drafts of technical design documents or Confluence pages. Just give it a high-level outline, and let the AI flesh out the details. This significantly reduces the tedious, but necessary, burden of keeping everything documented.

Common questions

Common questions

How do you become a Senior Robotics Engineer?

Common routes in include From Robotics Engineer (2-3 years at the L2 level), From Specialist Engineer (e.g., Controls, Vision) (5-7 years in a specialist role) and From Research Engineer / Postdoc (3-5 years post-PhD / research). Times vary with prior experience.

Where can a Senior Robotics Engineer progress to?

This role can lead on to To Staff Robotics Engineer (3-5 years as a Senior Robotics Engineer) and To Robotics Engineering Manager (4-6 years as a Senior Robotics Engineer), depending on the skills you build.

What new skills matter most for a Senior Robotics Engineer?

Increasingly, Reinforcement Learning for Robotics and Digital Twin & Advanced Simulation. 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 technology and data

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

The skills involved, systems thinking, multi-disciplinary problem-solving, control systems, and applied AI, carry across sectors. They apply to autonomous vehicles, aerospace, medical robotics, and advanced manufacturing. Making intelligent machines work reliably is the same challenge everywhere.

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 Senior Robotics Engineer 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.