At a Glance
- Tasks: Design and implement innovative AI solutions for long-term memory and reasoning.
- Company: Join a pioneering tech company with a small, expert team.
- Benefits: Competitive salary up to £140k, hands-on experience, and impactful work.
- Other info: Work in a dynamic environment in Elephant and Castle, London.
- Why this job: Be at the forefront of AI research with real-world applications.
- Qualifications: 5+ years in NLP or ML, strong Python skills, and a passion for innovation.
The predicted salary is between 140000 - 140000 £ per year.
This role is with one of Dex's trusted partner companies.
We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
The role
This company is building a truly proactive AI assistant that already knows your work.
Instead of pulling context at query time, it maintains a living model of a person's entire digital workspace – emails, messages, meetings, documents – and acts on their behalf, drafting replies or preparing for meetings before being asked.
It's a fundamentally different approach to AI agents, tackling problems of long-term memory and real-time reasoning that no one has fully solved.
The team is small, composed of repeat founders with deep technical expertise, and the product is already in private alpha with high-profile users.
This is a founding AI Research Engineer role, owning the research direction for these core problems.
You'll work end-to-end on retrieval and knowledge-base systems, reasoning models, and models that understand live screen context, taking them from hypothesis to production.
This is applied research with direct user impact, not a publication track.
There's no research-to-engineering handoff; you'll build and productionise your own work.
- The work
- Design and implement novel approaches for persistent, long-term memory in AI agents.
- Build and optimise retrieval and knowledge-base systems across diverse, messy data sources.
- Develop reasoning models that understand and act on live screen and application context.
- Own the full lifecycle from research hypothesis through experimentation to production-ready, user-facing features.
What You Bring
- 5+ years solving research-level problems in NLP, LLMs, or adjacent ML, in industry or academia.
- A track record of personally owning and delivering a hard technical project end-to-end, or a relevant Ph D.
- The ability to implement and build upon research papers, not just apply existing libraries.
- Experience with both hypothesis formation/testing and building robust, scalable systems.
- Strong Python, cloud infrastructure, and database (SQL/No SQL) skills.
- Willingness to work in person 5 days a week in Elephant and Castle, London.
As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants.
This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.
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Founding AI Research Engineer (up to £140k) in London employer: Dex
Join a pioneering early-stage venture-backed company at the forefront of building foundation models for extreme physics, where you will have the unique opportunity to shape the engineering culture from day one. With a strong focus on innovation and collaboration, this role offers competitive compensation, a dynamic work environment, and the chance to contribute to critical advancements in global infrastructure and energy. You'll be part of a small, research-heavy team that values your expertise and encourages personal growth, making it an excellent place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Research Engineer (up to £140k) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dex!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Founding AI Research Engineer (up to £140k) at Dex.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dex.
✨Apply Directly through Our Website
When you find a suitable opening like Founding AI Research Engineer (up to £140k) at Dex, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Founding AI Research Engineer (up to £140k) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dex, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dex. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dex
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dex!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
