At a Glance
- Tasks: Build and optimise ML pipelines for cutting-edge AI workflows.
- Company: Join White Circle, a leader in innovative machine learning solutions.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Collaborative team environment with exciting projects and career advancement.
- Why this job: Make a real impact on AI development and product quality.
- Qualifications: Experience in ML infrastructure and strong problem-solving skills.
The predicted salary is between 80000 - 100000 £ per year.
White Circle is seeking an ML Infrastructure Engineer to build pipelines behind our LLM post-training, RL, evaluation, inference, and agentic development workflows. You will work closely with researchers, GPUs, training loops, data control systems, evals, and inference stacks to influence model learning and product quality. You will design scalable data control systems and optimize training/inference for high-throughput workloads, including cost visibility and reproducibility across hybrid.
StudySmarter Expert Advice🤫
We think this is how you could land ML Infrastructure Engineer: Scale RL Pipelines in London
✨Get Involved in Data Science Meetups
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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 White Circle.
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We think you need these skills to ace ML Infrastructure Engineer: Scale RL Pipelines in London
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 White Circle, 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 White Circle. 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 White Circle
✨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 White Circle!
✨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.
