At a Glance
- Tasks: Design and deploy machine learning systems to enhance workforce management.
- Company: Planday, a leader in scheduling and workforce management solutions.
- Benefits: Remote work, competitive salary, equity options, and professional growth opportunities.
- Other info: Join a dynamic team focused on transforming how businesses operate.
- Why this job: Shape the future of work with innovative AI solutions and real-world impact.
- Qualifications: Experience in machine learning and a passion for solving complex problems.
The predicted salary is between 70000 - 90000 £ per year.
Planday, a leading scheduling and workforce management platform, is seeking a Machine Learning Engineer to work at the intersection of research and production. You will translate ambiguous challenges into shipped features, collaborating with internal stakeholders and customers to expand the platform’s capabilities and reshape how businesses manage work and transparency.
In this role you will design and ship ML and agentic systems, deploy model services in production, and drive rigorous.
Agentic AI ML Engineer – Remote, Growth & Equity employer: Planday
Planday is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Machine Learning Engineers to thrive. With a strong focus on employee growth, Planday offers ample opportunities for professional development and the chance to work on cutting-edge projects that directly impact workforce management. The remote work flexibility allows for a balanced lifestyle while being part of a dynamic team dedicated to reshaping how businesses operate.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI ML Engineer – Remote, Growth & Equity
✨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 Planday!
✨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 Agentic AI ML Engineer – Remote, Growth & Equity at Planday.
✨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 Planday.
✨Apply Directly through Our Website
When you find a suitable opening like Agentic AI ML Engineer – Remote, Growth & Equity at Planday, 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 Agentic AI ML Engineer – Remote, Growth & Equity
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 Planday, 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 Planday. 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 Planday
✨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 Planday!
✨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.
