At a Glance
- Tasks: Lead the development of innovative AI solutions and influence company direction.
- Company: Dynamic AI-focused company with a track record of success.
- Benefits: Competitive salary up to £120k, creative freedom, and career growth.
- Why this job: Work on groundbreaking AI projects and make a real impact.
- Qualifications: Proficient in Python with experience in LLMs and team leadership.
The predicted salary is between 65250 - 79750 £ per year.
Imagine how nice it would feel to work at a company that has the freedom to build solely AI solutions and AI agents.
You could work with no restraints, have creative freedom, and be challenged to develop innovative AI solutions that have never been created before.
Here, you’ll get a lot of the freedom that you’ve likely always dreamed of!
You will have the opportunity to set the vision of cutting-edge AI solutions as well as influence the future direction of the company.
You will be meeting clients who want to realize the power of AI and you will be leading the development of AI solutions which will streamline and improve their day-to-day operations.
You will be joining a business whose founders have already got a good track record of building a successful Data & AI company.
AI is built in their DNA, being experimental is encouraged and making a positive difference through the development of AI solutions is what they do best.
If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step in your career.
If you’re passionate about LLMs, want to work with the latest cutting-edge technology and are enthusiastic about leading a team to create AI solutions that will make a real difference, then I want to talk to you.
No up-to-date CV required, we can work on updating it if needs be.
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AI Engineer - Build LLM's - Up to £120k in London employer: Saragossa
Saragossa is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and creativity are highly valued. Located in a vibrant energy market, employees benefit from extensive professional growth opportunities, including training in advanced analytical tools and exposure to diverse structured transactions. Join us to be part of a forward-thinking team that not only supports your career development but also encourages meaningful contributions to the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Build LLM's - Up to £120k 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 Saragossa!
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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 AI Engineer - Build LLM's - Up to £120k at Saragossa.
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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 Saragossa.
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When you find a suitable opening like AI Engineer - Build LLM's - Up to £120k at Saragossa, 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 AI Engineer - Build LLM's - Up to £120k 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 Saragossa, 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 Saragossa. 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 Saragossa
✨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 Saragossa!
✨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.
