Hybrid AI Research Engineer: ML Systems & LLM Agents

Hybrid AI Research Engineer: ML Systems & LLM Agents

Full-Time 59400 - 72600 £ / year (est.) Home office (partial)
Career Moves Group

At a Glance

  • Tasks: Build and experiment with cutting-edge AI agents using Python and PyTorch.
  • Company: Career Moves Group, a leader in Fundamental AI Research.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement potential.
  • Why this job: Join a fast-paced team and shape the future of machine learning.
  • Qualifications: Experience in Python, machine learning, and a passion for AI research.

The predicted salary is between 59400 - 72600 £ per year.

Career Moves Group seeks a Research Engineer/Software Engineer to support Fundamental AI Research in London.

The role focuses on building agents for machine learning and research with emphasis on LLM agents, Python, Py Torch, and large-scale AI experimentation.

Collaboration with research engineers, scientists, and contingent workers is expected in a fast-paced environment.

The candidate will work to advance ML systems, design tools for LLMs, and run complex experiments, contributing to future

#J-18808-Ljbffr

Hybrid AI Research Engineer: ML Systems & LLM Agents employer: Career Moves Group

Career Moves Group is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation within the hospitality and technology sectors. With a strong focus on employee growth, you will have access to numerous professional development opportunities while working in vibrant cities like London, Paris, Rome, and Milan. The hybrid work model promotes a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.

Career Moves Group

Contact Details:

Career Moves Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid AI Research Engineer: ML Systems & LLM Agents

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 Career Moves Group!

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 Hybrid AI Research Engineer: ML Systems & LLM Agents at Career Moves Group.

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 Career Moves Group.

Apply Directly through Our Website

When you find a suitable opening like Hybrid AI Research Engineer: ML Systems & LLM Agents at Career Moves Group, 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 Hybrid AI Research Engineer: ML Systems & LLM Agents

Machine Learning
Large Language Models (LLMs)
Python
PyTorch
AI Experimentation
Collaboration
Research Engineering

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 Career Moves Group, 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 Career Moves Group. 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 Career Moves Group

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 Career Moves Group!

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.