At a Glance
- Tasks: Coordinate AI research projects and solve operational challenges for technical teams.
- Company: Leading global tech company at the forefront of AI innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Unique chance to transition from research to project leadership in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in cutting-edge AI research.
- Qualifications: Experience in AI/ML research or project management with strong coordination skills.
The predicted salary is between 54000 - 66000 £ per year.
- London, Kings Cross - hybrid, 3 days onsite
- A leading global technology company is looking for an
Technical Project Manager to join a highly technical artificial intelligence research organisation in London.
This is an unusual opportunity for someone who understands machine learning, AI or LLM research but enjoys coordinating people, solving operational problems and enabling technical teams rather than spending their day coding.
You will work alongside researchers and engineers across multiple fast-moving research workstreams, helping remove blockers, coordinate dependencies, track milestones and ensure teams have the resources and organisational support required to deliver.
The position is particularly well suited to someone coming from
AI/ML research, research engineering, technical project management or technical program management who wants to move closer to project/program leadership.
- What you'll be doing
- Coordinate multiple AI and machine-learning research workstreams.
- Identify blockers and take ownership of resolving issues preventing researchers from progressing.
- Track milestones, timelines, dependencies, risks and project status.
- Translate broad goals and strategy into structured project plans.
- Work closely with researchers, engineers and cross-functional teams.
- Coordinate with stakeholders across legal, policy, communications and risk.
- Support review processes associated with datasets, research benchmarks and open-source initiatives.
- Help research teams manage capacity and resources, including compute requirements.
- Provide clear project updates, metrics, risks and mitigation plans.
- Handle fast-moving operational issues affecting the London research team.
What we’re looking for
- You should have hands‑on knowledge or experience within at least one of:
- Recommendation Systems
- Pattern Recognition
- Data Mining
- Research Engineering
You’ll also need
- Strong project or program coordination skills.
- Experience working across technical and non-technical teams.
- Ability to work independently in an ambiguous environment.
- Strong organisational skills and attention to detail.
- Ability to prioritise competing workstreams.
- Confidence operating in a high-speed research environment.
- Clear written and verbal communication.
Experience managing projects across remote or distributed teams would be particularly useful.
Why this role is interesting
This isn't a conventional project management position.
You'll work directly with cutting-edge AI researchers and engineers while gaining exposure to how research strategy is translated into execution.
It could also be an excellent career move for a technically strong
Master's/Ph D graduate, research engineer or ML professional looking to move from pure research or engineering into project, program or product management without losing their connection to AI.
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Technical Project Manager II employer: Principle
Join a leading global technology company that champions innovation and creativity in the heart of London. With a hybrid work model, competitive salary, and a vibrant work culture, you'll have the opportunity to collaborate with diverse teams across EMEA while developing your skills in a supportive environment. The company prioritises employee growth, offering unique opportunities to influence high-impact social media strategies and campaigns, making it an ideal place for passionate professionals looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Project Manager II
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Principle or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Principle.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Principle.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Principle that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Technical Project Manager II
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Principle.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Principle and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Principle
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Principle uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
