At a Glance
- Tasks: Join a pioneering AI team to build smarter systems that learn from user interactions.
- Company: Exciting AI startup with a focus on innovation and collaboration.
- Benefits: Competitive salary, equity, and the chance to shape core technology.
- Other info: Opportunity for significant input in product architecture and growth.
- Why this job: Make a real impact in AI development at a formative stage of the company.
- Qualifications: Experience in ML or AI products, Python skills, and a self-starter attitude.
The predicted salary is between 58500 - 71500 £ per year.
A growing AI company is looking for a technically strong Research Scientist or Engineer to join early and help build systems that get smarter about the people using them, learning from how someone interacts with the product and using that to shape the experience they get. The team blends machine learning, applied research, and product-facing engineering, and is led by a founder with a solid research background. You'd be joining at a formative stage, with real input into how the product's core technology takes shape.
The work involves:
- Building out ways to measure whether the system is responding appropriately given what it knows about a given user
- Turning real usage and feedback into structured signals the model can learn from
- Running training experiments aimed at improving response quality based on human feedback
- Digging into cases where the system gets it wrong — misreads a user, holds onto outdated info, or responds inconsistently
- Weighing in on technical decisions as the product architecture comes together
Ideal background:
- A few years of hands-on experience shipping ML or AI-driven products
- Exposure to model fine-tuning, evaluation work, or working with human feedback data
- Comfortable in Python, with practical experience in common deep learning tooling
- Self-starter who's happy figuring things out without a lot of structure
Competitive salary + equity.
Founding AI Engineer in London employer: Intellectual Capital Resources
Join a pioneering AI company at an exciting stage of growth, where your contributions will directly shape the future of intelligent systems. With a culture that fosters innovation and collaboration, you'll have access to competitive salaries, equity options, and ample opportunities for professional development. Located in a vibrant tech hub, this role offers a unique chance to work alongside industry leaders and make a meaningful impact in the world of AI.
Contact Details:
Intellectual Capital Resources Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer 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 Intellectual Capital Resources!
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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 Intellectual Capital Resources.
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When you find a suitable opening like Founding AI Engineer at Intellectual Capital Resources, 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 Engineer 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 Intellectual Capital Resources, 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 Intellectual Capital Resources. 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 Intellectual Capital Resources
✨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 Intellectual Capital Resources!
✨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.
