At a Glance
- Tasks: Join a visionary team to build the world's first true Agentic Enterprise OS.
- Company: Innovative company focused on replacing manual tasks with autonomous systems.
- Benefits: Remote-first work, unlimited PTO, and uncapped API credits for personal projects.
- Other info: Enjoy a culture of deep work, rapid experimentation, and elite infrastructure.
- Why this job: Make a real impact by engineering powerful autonomous systems that enhance human creativity.
- Qualifications: Passion for AI research and experience in software development.
The predicted salary is between 63000 - 77000 £ per year.
We are replacing manual SaaS with algorithmic workforces. Join a team of visionary engineers, researchers, and prompt architects building the world's first true Agentic Enterprise OS. We believe that human potential is wasted on manual data entry, repetitive coding tasks, and operational friction. Our mission is to engineer autonomous systems so powerful that human intellect can focus entirely on strategy, creativity, and connection.
The GenticOS DNA. We operate differently. Our culture is optimized for deep work, rapid experimentation, and massive leverage. We don't build incremental features. We build paradigm-shifting autonomous systems. No useless meetings. We document everything, communicate in threads, and focus on deep work.
Owner Mentality
Every engineer is a founder. You own your modules end-to-end, from architecture to edge deployment. Elite compute for an elite swarm. We demand the best from our team, and we provide the infrastructure to make it happen. You aren't just an employee; you are an operator of the most advanced autonomous network.
Remote-First & Async
Work from anywhere in the world. We don't track hours, we track impact.
Unlimited PTO (Mandatory Minimum)
Take what you need. We require everyone to take at least 3 weeks off a year.
Unlimited Swarm API Credits
Uncapped personal API allowances to build your own side-agents on our infrastructure.
The Research Stack
Unprecedented access to enterprise compute:
- A100 Cluster Access
- Dedicated training nodes
- Proprietary LLM Sandboxes
- Unfiltered reasoning models
- Vector DB Ecosystems
- Infinite context windows
We leverage completely air-gapped agent grids and asynchronous workflows. Our telemetry proves our efficiency.
Applied AI Researcher in London employer: Genticos
Join a pioneering team that is redefining the future of work with our Agentic AI Researcher role. We offer a remote-first culture that prioritises deep work and innovation, providing you with unlimited PTO and uncapped API credits to foster your creativity. With access to elite computational resources and a commitment to employee ownership, you'll thrive in an environment where your contributions directly shape the next generation of autonomous systems.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Researcher 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 Genticos!
✨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 Applied AI Researcher at Genticos.
✨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 Genticos.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI Researcher at Genticos, 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 Applied AI Researcher 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 Genticos, 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 Genticos. 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 Genticos
✨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 Genticos!
✨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.
