Technical Project Manager
Mackin Talent · King's Cross, United Kingdom ·
- Work mode
- Hybrid
- Category
- Project management
A 12-month Technical Project Manager role supporting a multi-disciplinary AI/ML research team, hybrid with 3 days onsite at King's Cross, London. The PM handles planning, prioritization, risk and status reporting, and stakeholder communication across researchers, engineering, product, legal and policy.
Our client is looking for a Technical Project Manager to join their team.
Duration - 12 months
Location - Hybrid (3 days onsite) at Kings Cross
Summary:
As a Project Manager, you will be a critical member of the team and work closely with a multi-disciplinary group of researchers. You’ll ensure that all the tactical needs of the team are met to enable our ambitious research programs to succeed. You will work with researchers, engineers, product, legal, and policy to build impactful relationships, serve as a dependable point of contact, and ensure your program’s needs are met. To be successful, you will be eliminating barriers to your team's success, clearly communicating their work to all stakeholders, and ensuring the big picture stays in focus while delving into the details on specific issues.
Responsibilities
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Ensure projects and tasks are prioritized, completed on time, provide status updates through metrics, risks, and mitigations to stakeholders
- Translate strategy into structured plan. Autonomously set up project structure leveraging existing formats, and contribute to team alignment by connecting project goals to team/organization goals and communicating to the team and leadership
- Effectively use project structure to drive execution of a project’s defined scope, focusing on key objectives and managing interdependencies, managing risk, and reporting. Understand the main impacts of the changes created by the project and support the team through those as appropriate
- Efficiently analyze data and translate it into actions. Provide input and recommendations to influence decisions and implements changes within the team with minimal guidance
- Clearly communicate in a timely and collaborative way
Requirements
- Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
- Currently has or is pursuing a Bachelor's and/or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Track record of operating independently, being detail-oriented, and delivering results in a highly organized manner
- Experience building relationships with predefined stakeholders from varying cross-functional teams
Preferred Qualifications
- Direct experience in generative AI and LLM research
- Experience managing projects with remote or distributed teams.
Benefits
- Competitive salary
- Healthcare contribution and inclusion in company pension scheme
- Work laptop and phone
- 25 days annual leave (pro-rata) plus paid bank holidays
- Expanding workforce with potential for career progression for top performers