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- Tasks: Create bespoke AI solutions for diverse clients using your ML skills.
- Company: Join a rapidly growing start-up focused on Gen AI advancements.
- Benefits: Enjoy competitive salary, equity options, and a flexible work environment.
- Why this job: Be part of a visionary team shaping the future of AI technology.
- Qualifications: Experience in Python and LLMs is essential; all industry backgrounds welcome.
- Other info: No up-to-date CV required to apply!
The predicted salary is between 81000 - 162000 £ per year.
Do you want to leverage your AI/ML skillset in a rapidly growing start-up that’s focused on Gen AI advancements?
Do you want the freedom to work with a diverse range of clients and be responsible for creating bespoke end-to-end technical solutions for them?
You’ll be joining a start-up whose founders have already made their mark in scaling a successful data and AI company, so if you want to be a part of their next big project, this could be the firm for you!
By joining at this time in their venture, you’ll have the chance to establish the vision of cutting-edge AI solutions as well as influence the direction of the firm.
If coding in python is your thing, as well as having experience working with LLMs, then this could be the next step in your career – regardless of the industry you’ve come from.
So, if you want to work with the latest cutting-edge technology in a firm which fosters freedom, growth and success, then let’s discuss this opportunity further.
No up-to-date CV required.
Senior Machine Learning Engineer - up to £135k base plus equity employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer - up to £135k base plus equity
✨Tip Number 1
Network with professionals in the AI and machine learning space. Attend industry meetups, webinars, or conferences to connect with like-minded individuals and potential colleagues. This can help you gain insights into the company culture and possibly get a referral.
✨Tip Number 2
Showcase your projects and experience with LLMs on platforms like GitHub or personal blogs. Having a portfolio that demonstrates your coding skills in Python and your understanding of machine learning concepts can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your approach to problem-solving and how you've tackled challenges in previous roles. Be ready to share specific examples of bespoke solutions you've created, as this aligns with the company's focus on tailored technical solutions.
✨Tip Number 4
Research the latest trends in generative AI and machine learning. Being knowledgeable about current advancements will not only impress during discussions but also show your genuine interest in contributing to the company's vision.
We think you need these skills to ace Senior Machine Learning Engineer - up to £135k base plus equity
Some tips for your application 🫡
Tailor Your CV: Even though an up-to-date CV isn't required, it's still a good idea to tailor your CV to highlight your AI/ML skills and experience with LLMs. Focus on relevant projects and achievements that demonstrate your expertise in Python and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI advancements and your desire to work in a start-up environment. Mention specific experiences where you've created bespoke technical solutions and how you can contribute to the company's vision.
Showcase Your Technical Skills: In your application, be sure to emphasise your technical skills, particularly in Python and any experience with large language models. Provide examples of projects or challenges you've tackled that demonstrate your proficiency in these areas.
Express Your Vision: Since the role involves influencing the direction of the firm, articulate your vision for cutting-edge AI solutions in your application. Discuss how you see the future of AI and how you can help shape it within the company.
How to prepare for a job interview at Saragossa
✨Showcase Your AI/ML Expertise
Be prepared to discuss your previous projects involving AI and machine learning. Highlight specific examples where you've successfully implemented solutions, particularly with large language models (LLMs), as this will demonstrate your hands-on experience and technical prowess.
✨Understand the Company's Vision
Research the start-up's goals and recent advancements in generative AI. Being able to articulate how your skills align with their vision will show that you're genuinely interested in contributing to their success and growth.
✨Demonstrate Problem-Solving Skills
Prepare to tackle hypothetical scenarios or case studies during the interview. This will allow you to showcase your analytical thinking and ability to create bespoke technical solutions, which is crucial for the role.
✨Ask Insightful Questions
Engage with the interviewers by asking thoughtful questions about their current projects, team dynamics, and future plans. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.