At a Glance
- Tasks: Join a leading AI team to build and evaluate machine learning agents and workflows.
- Company: Innovative AI research team based in London with a hybrid work model.
- Benefits: Competitive pay at £45 per hour, flexible working, and potential for contract extension.
- Other info: Fast-paced environment with opportunities for growth and collaboration.
- Why this job: Dive into cutting-edge AI research and make a real impact in the tech world.
- Qualifications: Strong Python skills and a background in machine learning or related fields.
The predicted salary is between 45 - 45 £ per hour.
We are looking for a Research Engineer to join a leading AI research team in London, working on AI systems, machine learning agents, and large language model research infrastructure. This is a hands-on engineering and research role suited to someone with strong Python skills, a scientific mindset, and the ability to move quickly in a fast-paced research environment. You will work closely with research engineers, scientists, and cross-functional partners to build tools, run experiments, and support cutting-edge machine learning research.
Key Responsibilities
- Build and evaluate LLM agents and machine learning research workflows.
- Design tools, infrastructure, and methods to support large-scale AI research.
- Write high-quality Python code and work with frameworks such as PyTorch.
- Run complex experiments using large AI models and datasets.
- Collaborate with research engineers, scientists, and wider technical teams.
- Translate research requirements into practical prototypes, roadmaps, and deliverables.
- Communicate research plans, progress, and results clearly.
Required Skills And Experience
- Strong hands-on Python experience.
- Experience with PyTorch or similar machine learning frameworks.
- Background in machine learning, artificial intelligence, data mining, recommendation systems, pattern recognition, or a related field.
- Exposure to LLMs, LLM agents, generative AI, pre-training, post-training, or programmatic LLM querying.
- Strong scientific mindset: organised, diligent, curious, and evidence-led.
- Ability to work quickly, execute independently, and deliver high-quality code.
- Comfortable working in a high-pressure, ambiguous research environment.
- Degree in Computer Science, Computer Engineering, Machine Learning, Mathematics, Physics, or equivalent practical experience.
Preferred Experience
- PhD or research-focused Master’s degree in machine learning or a related technical field.
- Experience as a Research Engineer, Applied Scientist, Machine Learning Engineer, or similar.
- Experience in a startup, internship, academic research, or major technology company environment.
- Direct exposure to agentic AI systems, generative AI research, or advanced ML experimentation.
Ideal Candidate
The ideal candidate will be hard-working, technically strong, and passionate about AI research. This is not purely an academic publishing role; it requires someone who can execute, write code, and contribute practically to fast-moving research projects.
Interview Process
Initial screen followed by two loop interviews.
Research Engineer, AI Systems / LLM Agents employer: Career Moves Group
Join a dynamic and innovative AI research team in the heart of London Kings Cross, where collaboration and creativity thrive. As a Research Engineer, you'll benefit from a hybrid work model, competitive pay, and the opportunity to work on cutting-edge projects that shape the future of AI. Our supportive work culture fosters professional growth, encouraging you to develop your skills while contributing to meaningful advancements in machine learning and AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, AI Systems / LLM Agents
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We think you need these skills to ace Research Engineer, AI Systems / LLM Agents
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
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!
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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.
