Adecco
Technical Project Manager
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Job Title: Technical Project Manager – Fundamental AI Research
Location: London, UK (King’s Cross – Hybrid, 3 days on-site)
Position Type: Contract / Contingent Worker
Salary: £70,990 per year
About the Role
We are seeking a Technical Project Manager to join a world-class Fundamental AI Research organization. This team is dedicated to advancing the state of artificial intelligence by making foundational breakthroughs in machine learning systems, large language models (LLMs), and Advanced Machine Intelligence.
In this role, you will act as the vital "oil in the system" for a high-velocity, cutting-edge research team. Sitting directly alongside world-class researchers and engineers, you will ensure that all tactical needs are met, resources are optimized, and blockers are cleared. This role offers an exceptional career pivot for a candidate with a strong technical background in AI/ML (e.g., recent Master's or PhD graduates) looking to transition into program management without losing touch with frontier research.
Key Responsibilities
- Workflow Coordination & Unblocking: Triage fast-moving daily challenges on-site in London. Proactively identify dependencies across workstreams and eliminate operational blockers for researchers and engineers.
- Tactical Project Execution: Maintain Gantt-style tracking of timelines, coordinate progress across sub-teams, and assist researchers in writing project milestones and updates.
- Resource & Capacity Management: Ensure research teams have the compute and hardware resources (e.g., GPUs) required to execute complex training runs and experiments.
- Cross-Functional Liaison: Serve as the central point of contact between engineering teams and cross-functional partners (Legal, Policy, Risk, Communications) to facilitate data usage reviews and streamline open-sourcing initiatives.
- Stakeholder Management & Alignment: Build strong, trusted relationships across the organization—supporting junior team members while navigating complex dynamics with senior staff.
- Data-Driven Reporting: Translate team progress, risks, and mitigations into clear metrics and updates for cross-functional leadership.
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Candidate Requirements
Non-Negotiable Skills & Experience
- Technical Mindset (AI/ML): Sufficient years of technical exposure or a strong academic background in Machine Learning, Deep Learning, Recommendation Systems, or Computer Science. You must understand the technical language of LLMs and research engineering to effectively support the team.
- Relationship & Influence Skills: Outstanding interpersonal skills with a proven ability to build trust, navigate stakeholder resistance, and collaborate across multidisciplinary groups.
- High-Pace Adaptability: Thrives in a high-velocity, dynamic research environment where priorities evolve rapidly and operational efficiency carries high business impact.
- Independent Execution: Strong track record of operating autonomously, staying detail-oriented, and delivering structured plans in complex environments.
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Education & Qualifications
- Minimum Requirement: Relevant degree in Computer Science, Computer Engineering, or a relevant technical discipline (or equivalent practical experience).
- Preferred: Advanced academic training in Machine Learning, AI, or a related quantitative field.
Nice-to-Have Skills
- Direct, hands-on exposure to Generative AI and Large Language Model (LLM) research workflows.
- Prior experience coordinating distributed or remote technical teams
Why Apply?
- Strategic Career Transition: Ideal route to pivot from technical research/engineering into technical program management without having to code day-to-day.
- Frontier AI Exposure: Be directly embedded in one of the most advanced AI research environments in the world.
- Direct Mentorship: Work closely alongside experienced Product Managers and research leads, learning how high-level strategy aligns with tactical research execution.
- High Impact: Directly enable ground-breaking research initiatives by ensuring top-tier scientists and engineers can focus on technical innovation.
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