Founding AI Engineer & Researcher (Remote)

Founding AI Engineer & Researcher (Remote)

Full-Time 81000 - 99000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Own the model layer and fine-tune SLMs for enterprise AI solutions.
  • Company: Join a funded pre-seed startup focused on privacy in AI for banks.
  • Benefits: Remote work, competitive salary, and the chance to shape the future of AI.
  • Why this job: Make a real impact by enabling secure data use in tier-1 banks.
  • Qualifications: Experience in AI engineering and a passion for data privacy.

The predicted salary is between 81000 - 99000 £ per year.

Presential Limited is a funded pre-seed startup building the privacy layer for enterprise AI, enabling banks to securely use sensitive data with external models.

As Founding AI Engineer at Presential Limited, you will own the model layer, fine-tuning SLMs and matching frontier performance while maintaining data privacy.

You’ll ship production‑ready solutions for tier‑1 banks with monthly shipping cycles.

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Founding AI Engineer & Researcher (Remote) employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding AI Engineer & Researcher (Remote)

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Apply Directly through Our Website

When you find a suitable opening like Founding AI Engineer & Researcher (Remote) at Jack & Jill, 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 & Researcher (Remote)

AI Model Fine-Tuning
Data Privacy Management
Production-Ready Solutions Development
Performance Optimisation
Software Development
Collaboration with Financial Institutions
Agile Methodologies

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 Jack & Jill, 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 Jack & Jill. 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 Jack & Jill

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 Jack & Jill!

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.