At a Glance
- Tasks: Lead AI research projects, collaborating with diverse teams to drive innovation.
- Company: Join a pioneering company at the forefront of AI research and development.
- Benefits: Enjoy a hybrid work model, competitive salary, and additional perks.
- Other info: This is a fixed-term contract role with opportunities for growth.
- Why this job: Be part of groundbreaking AI initiatives that shape the future and make an impact.
- Qualifications: Ideal for those with experience in AI and a relevant degree or equivalent experience.
The predicted salary is between 43200 - 72000 € per year.
Project Manager – AI Research
London (Hybrid) | Approx. £72,000 (Plus Benefits) | Fixed-Term Contract
We are seeking a Project Manager to support cutting-edge AI research initiatives. In this role, you’ll collaborate with researchers, engineers, product teams, legal, and policy stakeholders to drive execution of ambitious research programs. Your focus will be on eliminating roadblocks, ensuring alignment, and clearly communicating progress and goals to all stakeholders.
Key Responsibilities:
- Partner with researchers and cross-functional teams to communicate research plans, progress, and outcomes.
- Translate strategy into structured project plans, aligning team goals with broader organizational objectives.
- Drive execution by managing timelines, risks, interdependencies, and reporting progress to stakeholders.
- Analyze data and metrics to inform decision-making and drive improvements.
- Support teams through project-driven change and ensure ongoing alignment and efficiency.
Minimum Qualifications:
- Hands-on experience in AI-related fields such as machine learning, recommendation systems, or data mining.
- Pursuing or holding a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Proven ability to operate independently, manage details, and deliver results.
- Experience collaborating with cross-functional stakeholders.
Preferred Qualifications:
- Direct experience in generative AI or large language model (LLM) research.
- Experience managing remote or distributed teams.
Project Manager – AI Research employer: Morgan McKinley
As a leading employer in the AI research sector, we offer a dynamic and collaborative work environment in London that fosters innovation and professional growth. Our hybrid work model provides flexibility while our commitment to cutting-edge projects ensures that you will be at the forefront of technological advancements. With competitive benefits and opportunities for career development, we empower our employees to thrive and make a meaningful impact in the field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Project Manager – AI Research
✨Tip Number 1
Familiarise yourself with the latest trends in AI research, especially in areas like generative AI and large language models. This knowledge will not only help you understand the projects better but also allow you to engage in meaningful conversations with researchers and stakeholders during interviews.
✨Tip Number 2
Network with professionals in the AI field through platforms like LinkedIn or relevant industry events. Building connections can provide insights into the company culture at StudySmarter and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your experience in managing cross-functional teams and how you've successfully navigated project challenges in the past. Be ready to share specific examples that demonstrate your ability to eliminate roadblocks and drive project execution.
✨Tip Number 4
Showcase your analytical skills by being prepared to discuss how you've used data and metrics to inform decision-making in previous roles. Highlighting this experience will demonstrate your capability to contribute to the data-driven environment at StudySmarter.
We think you need these skills to ace Project Manager – AI Research
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and qualifications required for the Project Manager – AI Research position. Tailor your application to highlight relevant experience in AI-related fields.
Craft a Tailored CV:Your CV should reflect your hands-on experience in AI, project management skills, and ability to collaborate with cross-functional teams. Use specific examples that demonstrate your achievements and how they align with the job description.
Write a Compelling Cover Letter:In your cover letter, express your passion for AI research and your understanding of the challenges involved. Highlight your experience in managing projects and working with diverse stakeholders, and explain how you can contribute to the company's goals.
Proofread and Edit:Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial for a Project Manager role.
How to prepare for a job interview at Morgan McKinley
✨Showcase Your AI Knowledge
Make sure to highlight your hands-on experience in AI-related fields during the interview. Be prepared to discuss specific projects or technologies you've worked with, such as machine learning or recommendation systems, to demonstrate your expertise.
✨Communicate Clearly
As a Project Manager, clear communication is key. Practice articulating your thoughts on how you would align team goals with broader organisational objectives. Use examples from your past experiences to illustrate your ability to communicate effectively with cross-functional teams.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you've eliminated roadblocks in previous projects. Prepare examples that showcase your ability to manage timelines, risks, and interdependencies, as well as how you reported progress to stakeholders.
✨Prepare for Data-Driven Discussions
Since analysing data and metrics is part of the role, come equipped with examples of how you've used data to inform decision-making in past projects. This will show your analytical skills and your ability to drive improvements based on insights.
