AI Engineer: Production AI & LLMs (On-site 4d/wk) in London

AI Engineer: Production AI & LLMs (On-site 4d/wk) in London

London Full-Time 80000 - 98000 £ / year (est.) No working from home possible
Zero100

At a Glance

  • Tasks: Support AI development and create reliable internal tools with Python and SQL.
  • Company: Zero100, a forward-thinking company in London focused on AI innovation.
  • Benefits: Competitive salary, flexible work schedule, and opportunities for professional growth.
  • Other info: On-site role with a collaborative environment and exciting projects.
  • Why this job: Join a dynamic team and make a real impact in the AI field.
  • Qualifications: Experience with Python, SQL, and cloud platforms is essential.

The predicted salary is between 80000 - 98000 £ per year.

Zero100 in London is seeking an AI Engineer to support the development of AI, data, and agentic systems used by our research, product, and member-facing teams.

You will work closely with senior engineers to turn prototypes into reliable internal tools.

You will be hands-on with Python and SQL, cloud platforms and data processing, shaping data pipelines and retrieval workflows to deliver practical solutions.

#J-18808-Ljbffr

AI Engineer: Production AI & LLMs (On-site 4d/wk) in London employer: Zero100

Zero100 is an exceptional employer, offering a vibrant work culture in the heart of central London, where innovation meets collaboration. As an AI Engineer, you will benefit from unlimited holidays, private healthcare, and a supportive environment that fosters professional growth through hands-on experience with cutting-edge AI technologies. Join a diverse team that values your contributions and encourages you to take ownership of your projects while enjoying custom-designed offices with complimentary breakfasts and snacks.

Zero100

Contact Details:

Zero100 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer: Production AI & LLMs (On-site 4d/wk) 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 Zero100!

Show Off Your Projects

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: Production AI & LLMs (On-site 4d/wk) at Zero100.

Leverage Professional Networks

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 Zero100.

Apply Directly through Our Website

When you find a suitable opening like AI Engineer: Production AI & LLMs (On-site 4d/wk) at Zero100, 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: Production AI & LLMs (On-site 4d/wk) in London

Python
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration
ETL/ELT Processes

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 Zero100, 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 Zero100. 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 Zero100

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 Zero100!

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.