Founding AI Research Architect in London

Founding AI Research Architect in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
twentyAI

At a Glance

  • Tasks: Shape and build next-gen AI systems for complex scientific challenges.
  • Company: Join an ambitious early-stage deep tech organisation, twentyAI.
  • Benefits: Be part of a pioneering team with growth opportunities and innovative projects.
  • Other info: Collaborative environment with a focus on innovation and creativity.
  • Why this job: Make a real impact in AI research and engineering from the ground up.
  • Qualifications: Strong background in machine learning and problem-solving skills.

The predicted salary is between 70000 - 90000 £ per year.

twentyAI is an early-stage deep tech organisation building next-generation AI systems for complex scientific and engineering domains. As the first Founding AI Research Engineer, you will join a small, ambitious team and shape the design, implementation, and scaling of advanced AI systems. You will work across research and engineering, solving novel problems that require machine learning, systems thinking, and first-principles reasoning, translating ideas into robust, production-quality solutions.

Founding AI Research Architect in London employer: twentyAI

At twentyAI, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our commitment to employee growth is evident through our focus on professional development, particularly for newly qualified accountants eager to enhance their skills in a cutting-edge environment centred around AI and finance transformation. Located in a vibrant area, we offer unique opportunities to engage in meaningful projects that not only advance your career but also contribute to the evolution of finance processes.

twentyAI

Contact Details:

twentyAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding AI Research Architect in London

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Apply Directly through Our Website

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We think you need these skills to ace Founding AI Research Architect in London

Machine Learning
Systems Thinking
First-Principles Reasoning
AI System Design
Implementation Skills
Scaling Solutions
Problem-Solving Skills

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!

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Craft a Tailored Cover Letter:For a full-time role at twentyAI, 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 twentyAI. 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 twentyAI

Brush Up on Your Statistics

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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 twentyAI!

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.