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- Tasks: Lead AI research projects, manage timelines, and align stakeholders for successful execution.
- Company: Join a globally recognised leader in social technology focused on innovative AI solutions.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and potential for contract extension or permanent role.
- Why this job: Be at the forefront of AI research, collaborating with top experts in a dynamic environment.
- Qualifications: Experience in AI/ML, a degree in Computer Science or Engineering, and project management skills required.
- Other info: Contract runs until 31/12/2025, with opportunities for growth and development.
The predicted salary is between 60000 - 84000 £ per year.
Technical Project Manager – AI & Machine Learning ResearchContract length: this will run until 31/12/2025 with potential to extend to 24 months or permanent conversionSalary: £71,000-£78,000Location: Hybrid 3 days per week in King\’s Cross London, 2 days from homeA globally recognized social technology leader is hiring a Technical Project Manager to support their Fundamental AI Research division. This role is instrumental in managing cutting-edge research projects in generative AI and large language models.You will be the operational lead for research teams, driving project structure, aligning stakeholders, and ensuring timely execution.Key Responsibilities:Partner with researchers and engineers to deliver AI research projectsDefine project structure, manage timelines, risks, and interdependenciesTranslate strategy into action and ensure progress is communicated effectivelySupport remote teams and manage cross-functional relationshipsRequirements:Experience in AI/ML, LLMs, or related fieldsDegree in Computer Science, Engineering, or equivalent practical experienceExpertise in managing technical projects and working with distributed teamsStrong organizational and communication abilitiesNext steps to apply:Apply now with word document CV or email your CV to rory@principlehr.com for immediate review.
Technical Project Manager – AI & Machine Learning Research employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Project Manager – AI & Machine Learning Research
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially generative AI and large language models. This knowledge will not only help you understand the projects better but also demonstrate your passion and commitment to the field during discussions.
✨Tip Number 2
Network with professionals in the AI/ML space, particularly those who have experience in project management. Engaging with industry experts can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss your experience managing technical projects, especially in distributed teams. Be ready to share specific examples of how you've successfully navigated challenges and aligned stakeholders in previous roles.
✨Tip Number 4
Showcase your organisational and communication skills by being clear and concise in your interactions. Whether it's during a networking event or an interview, effective communication will highlight your ability to manage cross-functional relationships.
We think you need these skills to ace Technical Project Manager – AI & Machine Learning Research
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Technical Project Manager position. Familiarise yourself with AI and machine learning concepts, especially generative AI and large language models.
Tailor Your CV: Customise your CV to highlight relevant experience in AI/ML and project management. Emphasise your expertise in managing technical projects and working with distributed teams, as these are crucial for this role.
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 aligned stakeholders and managed timelines.
Follow Application Instructions: Ensure you submit your application as specified. Use a Word document for your CV and send it to the provided email address. Double-check for any additional documents or information required before hitting send.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Knowledge
Make sure to brush up on your understanding of AI and machine learning concepts, especially generative AI and large language models. Be prepared to discuss specific projects you've worked on in these areas, as this will demonstrate your expertise and relevance to the role.
✨Demonstrate Project Management Skills
Highlight your experience in managing technical projects, particularly in a distributed team environment. Be ready to share examples of how you've successfully structured projects, managed timelines, and mitigated risks in previous roles.
✨Communicate Effectively
Since the role involves aligning stakeholders and ensuring effective communication, practice articulating your thoughts clearly. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it easier for interviewers to follow your examples.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company's AI research initiatives and team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
