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For Companies At a Glance
- Tasks: Manage AI research projects, coordinate teams, and ensure smooth execution.
- Company: Join a cutting-edge AI research team in the heart of London.
- Benefits: Enjoy a flexible work environment with potential for contract extension.
- Why this job: Be at the forefront of AI innovation and collaborate with top experts.
- Qualifications: Bachelor's or Master's in a tech field; 2-4 years project management experience required.
- Other info: Onsite work three days a week; ideal for tech-savvy individuals passionate about AI.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Job Title: Technical Project Manager – Advanced AI Research
Location: Primarily onsite 3 days a week at our London office (King’s Cross)
Duration: Contract until December 31, 2025, with possible extension based on budget.
Job Summary
We are looking for a highly skilled Technical Project Manager to support an advanced AI research team focused on groundbreaking developments in artificial intelligence and machine learning. This role involves collaborating closely with researchers, engineers, product, legal, and policy teams to ensure smooth execution of complex research projects. You will be responsible for managing project plans, coordinating schedules and meetings, overseeing deliverables, and ensuring effective communication among cross-functional stakeholders.
Responsibilities
- Plan, prioritize, and execute AI research projects to meet key objectives and deadlines.
- Collaborate with interdisciplinary teams, including scientists, engineers, legal, and product groups.
- Manage project schedules, resources, risks, and interdependencies.
- Facilitate communication and reporting to keep stakeholders informed on progress, risks, and mitigation plans.
- Prepare and maintain project documentation, including product requirements and research reports.
- Coordinate approvals for third-party data set usage and other compliance requirements.
- Identify and resolve project roadblocks to help the team stay focused on deliverables.
- Analyze project data and outputs to provide actionable insights.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.
- 2-4 years of hands-on project management experience, preferably in technology or AI-focused environments.
- Strong technical background with practical experience in machine learning, AI, data mining, pattern recognition, or recommendation systems.
- Proficiency in Python programming.
- Exceptional communication skills to liaise effectively with researchers, engineers, and cross-functional teams.
- Experience managing medium-sized projects with remote or distributed teams is preferred.
- Detail-oriented, self-motivated, and able to operate independently.
Desired Skills and Experience
- Direct experience with generative AI or large language model (LLM) research projects.
- Familiarity with research product development.
- Formal project management training or certification is a plus.
- Ability to navigate ambiguity and adapt to fast-changing project priorities.
- Previous experience in big tech or AI research organizations is advantageous.
Technical Project Manager - Advanced AI Research employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Project Manager - Advanced AI Research
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Being well-versed in current advancements will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI research community. Attend relevant meetups, webinars, or conferences to connect with potential colleagues and learn more about the projects they are working on.
✨Tip Number 3
Prepare to discuss your project management experience in detail. Be ready to share specific examples of how you've successfully managed complex projects, particularly in technology or AI environments.
✨Tip Number 4
Showcase your technical skills, especially in Python and any relevant AI tools. If you have personal projects or contributions to open-source AI initiatives, be sure to mention them as they can set you apart from other candidates.
We think you need these skills to ace Technical Project Manager - Advanced AI Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in project management, particularly in AI or technology-focused environments. Emphasise your technical skills, especially in Python and any experience with machine learning or AI projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI research and your ability to manage complex projects. Mention specific examples of past projects where you successfully collaborated with cross-functional teams and overcame challenges.
Highlight Relevant Qualifications: Clearly outline your educational background and any certifications related to project management or AI. If you have direct experience with generative AI or large language models, make sure to include that as well.
Showcase Communication Skills: Since exceptional communication is key for this role, provide examples in your application that demonstrate your ability to liaise effectively with diverse teams. This could be through previous roles or specific projects where you facilitated communication among stakeholders.
How to prepare for a job interview at Russell Tobin
✨Showcase Your Technical Knowledge
As a Technical Project Manager, it's crucial to demonstrate your understanding of AI and machine learning concepts. Be prepared to discuss your experience with Python programming and any relevant projects you've managed in the tech or AI space.
✨Highlight Your Communication Skills
Effective communication is key in this role. Share examples of how you've successfully liaised with cross-functional teams, including researchers and engineers, to ensure project alignment and stakeholder satisfaction.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of specific instances where you've navigated project roadblocks or adapted to changing priorities, and be ready to explain your thought process and outcomes.
✨Demonstrate Your Project Management Experience
Be ready to discuss your hands-on project management experience, particularly in technology or AI-focused environments. Highlight your ability to manage schedules, resources, and risks effectively, and provide examples of medium-sized projects you've overseen.
