Learning Specialist - Tech & AI

Learning Specialist - Tech & AI

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deliver impactful learning initiatives in tech and AI for diverse roles.
  • Company: Join a global leader in technology with a focus on innovation and collaboration.
  • Benefits: Enjoy competitive salary, comprehensive benefits, and a supportive learning culture.
  • Other info: Work in a dynamic environment with opportunities for growth and global collaboration.
  • Why this job: Make a real difference by shaping the future of tech learning and development.
  • Qualifications: Degree in a technical field and 3+ years of relevant experience required.

The predicted salary is between 60000 - 80000 £ per year.

Who You'll Work With

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well‑rounded professional, and contribute to work that truly makes a difference.

When you join us, you will have:

  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.
  • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions.
  • Exceptional benefits: On top of a competitive salary, we provide a comprehensive benefits package to enable holistic well‑being for you and your family.

Your Impact

You will sit at the intersection of learning, technology, and AI‑enabled transformation, with a mandate to design and deliver high‑impact upskilling initiatives for engineers, data scientists, data engineers, product managers, designers, and other critical tech roles across the Technology Ecosystem (TE). You will work directly with senior technology leaders and stakeholders to ensure our colleagues remain at the forefront of technology and AI.

You will own and execute priority learning initiatives end to end — from needs analysis and problem definition through design, development, deployment, and impact measurement. This includes translating strategic skill priorities into practical, role‑specific learning journeys.

You will operate with a product mindset, taking full accountability for the success of your portfolio, including adoption, learner experience, and measurable capability outcomes. You will partner closely with senior technical leaders, subject matter experts, and delivery teams to ensure learning is rigorous, relevant, and embedded into real work.

A critical dimension of your impact will be driving innovation in how we create and scale learning. As technology and AI evolve rapidly, you will leverage AI‑enabled tools and modern learning approaches to accelerate content creation and improve quality.

You will continuously iterate based on data and feedback, ensuring learning solutions remain current, effective, and aligned with evolving technical needs. You will combine strong ownership with hands‑on execution, independently managing multiple workstreams, solving complex problems, and driving initiatives to high‑quality outcomes.

Your success will be defined by the tangible impact you deliver — enabling technologists to build critical skills faster, adopt new technologies, and apply AI‑enabled ways of working in their day‑to‑day roles.

Your Qualifications and Skills

  • University degree in Computer Science, Engineering, Data Science, or a related technical field preferred.
  • 3+ years of professional experience, including hands‑on experience in a technical or closely related role, ideally in a technology‑led or innovation‑driven environment.
  • Interest in or experience with capability building, learning design, or knowledge sharing, demonstrated through prior experience such as onboarding, documentation, internal training, mentoring, or similar.
  • Demonstrated Technical Credibility: practical experience contributing to, building, or deploying technical solutions; ability to engage effectively with engineers, data scientists, and product teams on tools, workflows, and AI‑enabled practices.
  • End‑to‑end ownership and delivery mindset: proven ability to independently scope, manage, and deliver projects from problem definition through execution and measurable outcomes; comfortable operating with ambiguity and accountability.
  • Strong problem‑solving and structured thinking: ability to break down complex problems, synthesize inputs, and translate technical needs into clear, actionable solutions.
  • Strong organizational and execution skills: ability to manage multiple workstreams, prioritize effectively, and deliver high‑quality outputs in a fast‑paced environment.
  • Exposure to frontier technology domains preferred, such as Gen AI, agentic systems, cloud platforms, or modern data and engineering ecosystems.
  • Effective communication and translation skills: ability to bridge technical and non‑technical audiences, distill complex concepts into practical learning interventions, and communicate clearly with a range of stakeholders.

Learning Specialist - Tech & AI employer: Mckinsey & Company

As a Learning Specialist in Tech & AI, you will thrive in a dynamic and inclusive environment that champions continuous learning and innovation. Our commitment to employee growth is reflected in our structured mentorship programmes and diverse global community, ensuring your contributions are valued and impactful. With exceptional benefits and a focus on holistic well-being, we empower you to shape the future of technology while advancing your career in a supportive and collaborative setting.

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Contact Details:

Mckinsey & Company Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Learning Specialist - Tech & AI

Tip Number 1

Network like a pro! Reach out to people in the tech and AI space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.

Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your expertise in learning design or tech. This is your chance to demonstrate your hands-on experience and problem-solving abilities in a way that stands out.

Tip Number 3

Prepare for interviews by practising common questions related to learning and technology. Think about how you can showcase your end-to-end ownership of projects and your ability to drive innovation in learning solutions.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our community and contributing to our mission.

We think you need these skills to ace Learning Specialist - Tech & AI

Learning Design
Capability Building
Technical Credibility
Project Management
Problem-Solving Skills
Structured Thinking
Organisational Skills

Some tips for your application 🫡

Show Your Passion for Learning:When you’re writing your application, let your enthusiasm for continuous learning shine through. We love candidates who are curious and eager to grow, so share any experiences that highlight your growth mindset and how you've tackled challenges in the past.

Tailor Your Application:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, especially in tech and AI. Don’t just send a generic CV; make it personal!

Highlight Your Impact:We’re all about making a difference, so be sure to include examples of how you’ve made an impact in previous roles. Whether it’s through innovative ideas or practical solutions, show us how you’ve contributed to your team or organisation.

Keep It Clear and Concise:While we appreciate detail, clarity is key! Make sure your application is easy to read and straight to the point. Use bullet points where necessary and avoid jargon unless it’s relevant. We want to understand your journey without getting lost in the details.

How to prepare for a job interview at Mckinsey & Company

Know Your Tech Inside Out

Make sure you brush up on the latest trends in technology and AI. Be prepared to discuss how these advancements can impact learning and development. Show that you’re not just familiar with the tools, but also understand their applications in real-world scenarios.

Demonstrate Your Problem-Solving Skills

Prepare examples of complex problems you've tackled in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you showcase your structured thinking and ability to deliver actionable solutions.

Embrace Feedback and Continuous Learning

Highlight your growth mindset by discussing how you’ve used feedback to improve your work. Share specific instances where you’ve adapted your approach based on input from others, showing that you value collaboration and are committed to personal development.

Engage with Your Interviewers

Don’t just answer questions; engage in a dialogue. Ask insightful questions about the company’s learning initiatives and how they leverage AI. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.