Project Manager – AI Implementation (6-Month Contract) in London

Project Manager – AI Implementation (6-Month Contract) in London

London Temporary 43200 - 72000 Β£ / year (est.) Working from home possible
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At a Glance

  • Tasks: Lead AI implementation projects in a dynamic financial services environment.
  • Company: Join a top financial institution driving AI transformation.
  • Benefits: Enjoy remote work flexibility and potential contract extension.
  • Other info: Bonus for familiarity with machine learning platforms and cloud-based AI tools.
  • Why this job: Be at the forefront of AI technology and make a real impact.
  • Qualifications: Experience in AI project management and strong communication skills required.

The predicted salary is between 43200 - 72000 Β£ per year.

Location: Remote Industry: Financial Services Contract Type: Full-time, Contract Duration: 6 Months (with potential extension) Start Date: ASAP Join a leading financial institution at the forefront of AI transformation. We’re seeking an experienced Project Manager to lead the delivery of a high-impact AI implementation project . This is a unique opportunity to work with cutting-edge technology in a highly regulated, data-rich environment. Key Responsibilities: Lead end-to-end project delivery of AI solutions within a financial services context. Coordinate cross-functional teams including data scientists, engineers, compliance, and business stakeholders. Manage timelines, budgets, risks, and reporting to senior leadership. Ensure alignment with regulatory and data governance standards. Drive stakeholder engagement and change management. Ideal Candidate: Proven experience managing AI, data, or digital transformation projects. Strong background in financial services or fintech. Excellent communication and stakeholder management skills. Familiarity with Agile and Waterfall methodologies. UK-based and eligible to work without sponsorship. Bonus Points For: Experience with LLMs, machine learning platforms, or AI governance. Previous work with cloud-based AI tools (e.g., Azure ML, AWS SageMaker, GCP Vertex AI). Ready to lead the future of finance with AI? Apply now to be part of a transformative journey with one of the UK’s most respected financial institutions. #J-18808-Ljbffr

Project Manager – AI Implementation (6-Month Contract) in London employer: Davies Group

Join a leading financial institution that champions innovation and values its employees. With a strong focus on professional development, you will have access to cutting-edge technology and the opportunity to work alongside industry experts in a collaborative remote environment. Our commitment to employee well-being and growth makes us an exceptional employer for those looking to make a meaningful impact in the financial services sector.

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Contact Details:

Davies Group Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Project Manager – AI Implementation (6-Month Contract) in London

✨Tip Number 1

Familiarise yourself with the latest trends in AI and financial services. Being well-versed in current technologies and methodologies will help you stand out during interviews and discussions with our team.

✨Tip Number 2

Network with professionals in the AI and financial sectors. Engaging with industry peers can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.

✨Tip Number 3

Prepare to discuss specific projects you've managed that align with AI implementation. Highlighting your experience with cross-functional teams and regulatory compliance will demonstrate your suitability for this role.

✨Tip Number 4

Showcase your understanding of Agile and Waterfall methodologies. Be ready to explain how you've applied these frameworks in past projects, as this knowledge is crucial for managing timelines and stakeholder engagement effectively.

We think you need these skills to ace Project Manager – AI Implementation (6-Month Contract) in London

Project Management
AI Implementation
Stakeholder Management
Risk Management
Budget Management
Agile Methodologies
Waterfall Methodologies

Some tips for your application 🫑

Tailor Your CV:Make sure your CV highlights your experience in managing AI, data, or digital transformation projects. Emphasise any relevant roles in financial services or fintech to align with the job requirements.

Craft a Compelling Cover Letter:Write a cover letter that showcases your project management skills and experience with AI implementations. Mention specific projects you've led and how they relate to the responsibilities outlined in the job description.

Highlight Relevant Skills:In your application, clearly outline your familiarity with Agile and Waterfall methodologies. If you have experience with LLMs or cloud-based AI tools, make sure to include this information as it could set you apart from other candidates.

Showcase Stakeholder Management:Provide examples of how you've successfully engaged stakeholders in previous projects. This is crucial for the role, so demonstrating your communication and change management skills will strengthen your application.

How to prepare for a job interview at Davies Group

✨Showcase Your Project Management Experience

Be prepared to discuss your previous project management roles, especially those related to AI or digital transformation. Highlight specific projects where you successfully led cross-functional teams and managed timelines and budgets.

✨Understand the Financial Services Landscape

Familiarise yourself with the financial services industry, particularly how AI is being implemented. Be ready to discuss regulatory challenges and data governance standards that are crucial in this sector.

✨Demonstrate Communication Skills

Since stakeholder engagement is key for this role, practice articulating your thoughts clearly. Prepare examples of how you've effectively communicated with diverse teams and senior leadership in past projects.

✨Be Agile and Waterfall Savvy

Brush up on Agile and Waterfall methodologies, as these will likely come up during the interview. Be ready to explain how you've applied these methodologies in your previous projects and the outcomes achieved.