At a Glance
- Tasks: Deploy AI/ML models and solve real customer problems with cutting-edge technology.
- Company: Join Arondite, a mission-focused team driving impactful AI solutions.
- Benefits: Enjoy ownership from Day One, travel opportunities, and collaboration with industry experts.
- Other info: Exciting career growth and the chance to work on innovative projects.
- Why this job: Shape the future of AI while making a difference in a dynamic environment.
- Qualifications: Experience in AI/ML deployment and a passion for ethical technology.
The predicted salary is between 67500 - 82500 £ per year.
Arondite is seeking Deployed AI Engineers to understand customer problems and implement AI solutions.
You will deploy AI/ML models in cloud and edge devices, shaping AI within a high-performance, mission-focused team.
Expect ownership from Day One and collaboration with experts to deliver impactful, responsible AI.
You will work across AI/ML model deployment, data collection, ethics, and model explainability, contributing to products and internal processes while travel to UK locations as needed.
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Field AI Engineer - Edge & Cloud Deployments in London employer: Arondite
Arondite is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered with high levels of autonomy from Day One. Located in the UK, we offer competitive salaries, generous equity options, and comprehensive benefits including private health insurance and a supportive environment for personal development. Join us to tackle meaningful challenges alongside brilliant minds, while enjoying a vibrant office atmosphere and opportunities for growth in a mission-driven company.
StudySmarter Expert Advice🤫
We think this is how you could land Field AI Engineer - Edge & Cloud Deployments in London
✨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 Arondite!
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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 Arondite.
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We think you need these skills to ace Field AI Engineer - Edge & Cloud Deployments 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 Arondite, 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 Arondite. 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 Arondite
✨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 Arondite!
✨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.
