Technical Project Manager

Trust In SODA; Greater London; Hybrid; GBP 46,000 - 65,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Trust In SODA in London is seeking a Technical Project Manager for a 12-month contract. Hybrid working from our London office, with ASAP start date.

You will coordinate researchers, engineers, product, legal and policy to keep ambitious programs on track and communicate progress to stakeholders. The role emphasizes translating strategy into actionable plans, managing risks and interdependencies, and driving delivery in a fast-paced, research-driven environment with a focus on machine learning,

Qualifications

• 2-4+ years of project management experience in research/AI contexts.
• Technical background in ML/LLMs and ability to support researchers without coding.
• Strong relationship-building and stakeholder management across senior staff.
• Ability to work in a fast-paced, high-velocity research environment.

Responsibilities

• Collaborate with researchers and cross-functional partners; communicate plans, progress, results.
• Prioritize projects, provide status updates with metrics, risks, mitigations.
• Translate strategy into structured plans; set up project structure and alignment.
• Drive execution, manage scope, interdependencies, risks, and changes.
• Analyze data and translate into actionable recommendations.

Skills

Machine Learning

LLMs / Generative AI

Data mining

Cross-functional collaboration

Stakeholder management

High-Pace Adaptability

Education

Bachelor's or Master's in Computer Science or related field

Job description

Technical Project Manager – Contract Position – HIRING ASAP

Location: Hybrid working in London office

Start Date: ASAP

Duration: 12-month contract

Daily Rate: £250 - £350 per day PAYE (Negotiable)

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 analyse 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

Top 3 Skills Needed

• 2-4+ years’ experience, it’s a junior to mid-level position
• Technical Expertise (Research & LLMs): Candidates must possess a level of technical background—such as a background in research engineering, a Masters/PhD in Machine Learning, or direct experience with LLMs—to effectively support researchers. While the role does not involve direct coding, having a technical mindset is considered "beyond anything else" in importance.
• Relationship Building: The ability to form strong working relationships is the "first thing" required for success.
• The role involves navigating complex dynamics between diverse stakeholders, including senior staff who may view project management as "overhead" and junior team members who rely heavily on this operational support.
• High-Pace Adaptability: Candidates must be excited about the role and the reality of the high-velocity, fast-moving research environment. They need to be comfortable with the fast pace, where the opportunity cost of "dropping the ball" is significant, and be a strong cultural fit for the team's research-centric dynamic.

Key Skills

• 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

Bonus Skills

• Direct experience in generative AI and LLM research
• Experience managing projects with remote or distributed teams