AI Systems Research Engineer – LLM Agents (Hybrid London)

AI Systems Research Engineer – LLM Agents (Hybrid London)

Full-Time 80000 - 100000 Β£ / year (est.) Home office (partial)
Career Moves Group

At a Glance

  • Tasks: Lead experimental workflows and work hands-on with AI systems and machine learning agents.
  • Company: Join a leading AI research team in the heart of London.
  • Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with a dynamic team and contribute to cutting-edge AI projects.
  • Why this job: Combine innovative research with practical implementation in a fast-paced setting.
  • Qualifications: Strong Python skills and a background in machine learning; PhD preferred.

The predicted salary is between 80000 - 100000 Β£ per year.

Career Moves Group is seeking a Research Engineer, AI Systems to join a leading AI research team in London. The role involves working hands-on with AI systems, machine learning agents, and building research infrastructure. You will lead experimental workflows and collaborate with a dynamic team in a hybrid work environment.

The ideal candidate will possess strong Python skills and a background in machine learning, with preferences for PhD or relevant technical experience. This role combines innovative research with practical implementation in a fast-paced setting.

AI Systems Research Engineer – LLM Agents (Hybrid London) employer: Career Moves Group

At Career Moves Group, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Our hybrid work model in London offers flexibility while providing ample opportunities for professional growth and development in the cutting-edge field of AI research. Join us to be part of a dynamic team where your contributions will directly impact the future of machine learning and AI systems.

Career Moves Group

Contact Details:

Career Moves Group Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land AI Systems Research Engineer – LLM Agents (Hybrid London)

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When you find a suitable opening like AI Systems Research Engineer – LLM Agents (Hybrid London) 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 AI Systems Research Engineer – LLM Agents (Hybrid London)

Python
Machine Learning
AI Systems
Research Infrastructure Development
Experimental Workflow Management
Collaboration Skills
Innovative Research

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!

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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

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✨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.