AI Project Manager in London

AI Project Manager in London

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI projects from concept to delivery, ensuring smooth transitions and stakeholder alignment.
  • Company: Join a dynamic team driving AI-powered transformation in a collaborative environment.
  • Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Work in a supportive culture that values innovation and continuous improvement.
  • Why this job: Make a real impact by shaping the future of AI in a fast-paced setting.
  • Qualifications: Experience in managing complex tech projects, ideally with AI or machine learning exposure.

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

Ready to lead AI-powered change that actually lands? This is an opportunity to take ownership of high-impact AI and machine learning initiatives, shaping them from early discovery through to delivery, rollout and adoption. You’ll join a busy Transformation team delivering a major change portfolio across systems, processes, technology and people. The focus is simple: making sure colleagues have the right tools, information, support and confidence to work in smarter, more effective ways. This is not a hands-off coordination role. You’ll be driving delivery, cutting through ambiguity, keeping momentum high and making sure AI initiatives are delivered safely, commercially and with measurable business value.

As AI Project Manager, you’ll take the lead on planning and delivering AI and machine learning projects from concept to implementation. You’ll shape scope, organise delivery, manage plans, run Agile ceremonies where appropriate, remove blockers and keep stakeholders aligned. You’ll coordinate releases, support change and adoption, track benefits and make sure new AI capabilities transition smoothly into business-as-usual operations. You’ll work closely with teams across Business, Technology, Data, Security, Legal, Compliance and third-party partners, applying pragmatic governance and controls without slowing delivery down unnecessarily. You’ll be trusted to manage risk, control spend, keep documentation sharp and make sure everyone knows what’s happening, what decisions are needed and what progress is being made.

You’ll need strong experience delivering complex technology and/or data projects, ideally with exposure to AI or machine-learning-enabled change. You’ll be confident managing delivery from discovery through to rollout and adoption, and you’ll know how to keep delivery moving while maintaining the right level of governance, control and transparency. You’ll bring:

  • Strong hands-on project delivery experience across Agile, Waterfall or Hybrid environments.
  • Experience managing backlogs, RAID logs, release plans, milestones, budgets, benefits and reporting.
  • A practical understanding of AI and machine learning delivery considerations, including data quality, privacy, security, bias, explainability, evaluation and model risk.
  • Confidence managing budgets, forecasts, supplier commercials and operational cost impacts.
  • Excellent senior stakeholder management skills, with the ability to influence, challenge and align different teams.
  • The ability to operate in ambiguity, lead iterative delivery and keep multiple workstreams moving.
  • Working knowledge of the software development lifecycle and AI/ML lifecycle.
  • Familiarity with MLOps concepts such as model versioning, monitoring and retraining.
  • Strong tooling capability across Jira, portfolio tools, MS Project or equivalent planning tools.
  • Advanced MS Office skills, including Excel, PowerPoint, Word and MS Copilot.
  • The ability to create clear, concise project artefacts for senior governance, including dashboards, papers, financials and communications.

PRINCE2, AgilePM, Scrum Master or equivalent qualifications would be useful, but equivalent hands-on experience is just as valuable. End-to-end AI implementation experience would be a strong advantage.

This is a hybrid role, with the option to work from home up to three days per week.

AI Project Manager in London employer: www.cardandpaymentjobs.com

Join a forward-thinking organisation in London that champions innovation and transformation through AI. As an AI Project Manager, you'll thrive in a dynamic work culture that prioritises collaboration, employee growth, and the successful delivery of impactful projects. With flexible hybrid working options and a commitment to providing the right tools and support, this company is dedicated to empowering its employees to drive meaningful change and achieve their professional aspirations.

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Contact Details:

www.cardandpaymentjobs.com Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Project Manager in London

Tip Number 1

Network like a pro! Get out there and connect with folks in the AI and project management space. Attend meetups, webinars, or industry events to make those valuable connections that could lead to job opportunities.

Tip Number 2

Showcase your skills! Create a portfolio or a personal website where you can highlight your past projects, especially those involving AI and machine learning. This gives potential employers a tangible look at what you can bring to the table.

Tip Number 3

Prepare for interviews by practising common questions related to AI project management. Think about how you’ve tackled challenges in previous roles and be ready to share specific examples that demonstrate your expertise.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are ready to drive AI initiatives. Your next big opportunity could be just a click away!

We think you need these skills to ace AI Project Manager in London

AI Project Management
Machine Learning Delivery
Agile Methodologies
Waterfall Methodologies
Hybrid Project Management
Stakeholder Management
Budget Management

Some tips for your application 🫡

Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how you can lead AI-powered change and make a real impact, so share your experiences and what excites you about this field!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure to highlight your relevant experience in project delivery and stakeholder management without waffling on. Use bullet points if it helps!

Tailor Your Application:Make sure to customise your application to fit the role of AI Project Manager. Highlight your hands-on experience with Agile methodologies and any specific AI projects you've managed. Show us why you're the perfect fit for our Transformation team!

Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.

How to prepare for a job interview at www.cardandpaymentjobs.com

Know Your AI Stuff

Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss how these technologies can drive change in a business context. Prepare examples from your past experiences where you've successfully implemented AI initiatives.

Master the Agile Mindset

Since this role involves managing projects in Agile environments, be prepared to talk about your experience with Agile methodologies. Think of specific instances where you’ve run Agile ceremonies or managed backlogs, and how you kept teams aligned and motivated.

Stakeholder Management is Key

This position requires excellent senior stakeholder management skills. Prepare to share examples of how you've influenced and aligned different teams in previous roles. Highlight your ability to communicate effectively and manage expectations across various stakeholders.

Showcase Your Project Delivery Skills

Be ready to discuss your hands-on project delivery experience, especially in complex technology or data projects. Talk about how you've managed budgets, tracked benefits, and ensured smooth transitions into business-as-usual operations. Use specific metrics or outcomes to demonstrate your success.