At a Glance
- Tasks: Lead research and engineering to advance agentic AI with cutting-edge models.
- Company: Join a pioneering company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic hybrid work culture between London and Paris.
- Why this job: Make a real impact in AI by working on groundbreaking projects.
- Qualifications: Experience in AI research, data pipelines, and collaborative teamwork.
The predicted salary is between 63000 - 77000 £ per year.
H is hiring to advance agentic AI by building and refining large language and vision-language models.
You will lead research and engineering efforts across data pipelines, backends, and multi-node distributed training to push capabilities in complex environments.
The role emphasizes SFT, RLHF/RLVR and reward modelling, with a focus on practical deployment and cross-functional collaboration in a hybrid London/Paris setting.
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AI Research Engineer — Pushing Agentic Models employer: H Company
H Company is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, comprehensive growth opportunities, and the chance to work on groundbreaking AI projects that make a real impact. With a hybrid work model, team members enjoy the flexibility of remote work while still engaging with their colleagues in a stimulating office environment three days a week.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer — Pushing Agentic Models
✨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 H Company!
✨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 Research Engineer — Pushing Agentic Models at H Company.
✨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 H Company.
✨Apply Directly through Our Website
When you find a suitable opening like AI Research Engineer — Pushing Agentic Models at H Company, 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 Research Engineer — Pushing Agentic Models
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 H Company, 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 H Company. 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 H Company
✨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 H Company!
✨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.
