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For Companies At a Glance
- Tasks: Lead AI research projects, ensuring smooth collaboration and communication across teams.
- Company: Join a cutting-edge AI research team in the heart of London, driving innovation.
- Benefits: Enjoy a flexible work environment with potential for contract extension and growth opportunities.
- Why this job: Be at the forefront of AI advancements while working with top-tier professionals in a dynamic setting.
- Qualifications: Bachelor's or Master's in a tech field, plus 2-4 years of project management experience.
- Other info: Onsite work required 3 days a week; ideal for those passionate about AI and technology.
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 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 specifically addresses the job description. Mention your hands-on project management experience and how it aligns with the responsibilities of managing complex AI research projects. Show enthusiasm for the role and the company.
Highlight Communication Skills: Since the role requires exceptional communication skills, provide examples in your application of how you've effectively liaised with cross-functional teams in previous roles. This could include managing stakeholder expectations or facilitating team meetings.
Showcase Problem-Solving Abilities: Include specific instances where you've identified and resolved project roadblocks. This will demonstrate your ability to keep projects on track and your proactive approach to challenges, which is crucial for this position.
How to prepare for a job interview at Russell Tobin
✨Showcase Your Technical Knowledge
Make sure to highlight your understanding of AI and machine learning concepts during the interview. Be prepared to discuss specific projects you've worked on that involved these technologies, as this will demonstrate your technical expertise and relevance to the role.
✨Emphasise Communication Skills
Since the role requires liaising with various teams, it's crucial to showcase your exceptional communication skills. Prepare examples of how you've effectively communicated complex ideas to non-technical stakeholders or facilitated discussions among cross-functional teams.
✨Demonstrate Project Management Experience
Be ready to discuss your hands-on project management experience, particularly in technology or AI-focused environments. Highlight specific methodologies you’ve used, such as Agile or Scrum, and how they contributed to the success of your projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and how you handle project roadblocks. Think of examples where you identified risks and implemented mitigation strategies, as this will show your proactive approach to project management.
