At a Glance
- Tasks: Create and implement AI models in a fast-paced, small team environment.
- Company: Join a dynamic tech company focused on innovative AI products.
- Benefits: Competitive salary, stock options, and opportunities for growth.
- Other info: Fast-paced culture with a focus on autonomy and teamwork.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: STEM degree and strong programming skills required.
The predicted salary is between 33000 - 60000 £ per year.
About the role
We work in super small teams, with extremely high velocity. We are building multiple AI products, such as OdinAI, Graph API, and many more. As an AI engineer, you'll work in a small team, with maximum autonomy.
Responsibilities
- Be behind the curtain, creating, testing, and implementing AI models
- Engage in data analysis, machine learning, and natural language processing
- Fine‑tune the AI's performance and much more
Preferred background
- Bachelor's or Master's degree in STEM
- Strong technical skills, e.g., familiarity with a programming language such as Python, JavaScript, or Ruby
- Experience with growth marketing, product development, and user acquisition/retention
Must haves
- Must have done this before, or be willing to learn fast
- Must be fast. We operate at 200mph, and so do you
- Must be relentless. We never stop, so you are even faster than us
- Must be customer‑driven. We think customers first and so should you
- Must be driven and go above and beyond
- Must be able to explain and communicate clearly
- Must be prepared to challenge us and disagree. We are thinking and acting as a team
- Must be able to work autonomously
- Must want to work hard
- Last but not least, you are genuinely a nice person
Big plus
- You are an athlete, or care about quantifying your data.
Salary
Depending on experience: £33,000 - £60,000 + stock options.
AI Engineer London employer: Meeveem Limited
Join a dynamic and innovative team in London where you'll have the opportunity to work on cutting-edge AI products with maximum autonomy and a strong focus on customer-driven solutions. Our fast-paced work culture encourages collaboration, creativity, and personal growth, offering competitive salaries and stock options, as well as the chance to be part of a supportive environment that values your contributions and fosters continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer London
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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 Meeveem Limited.
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We think you need these skills to ace AI Engineer 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!
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Craft a Tailored Cover Letter:For a full-time role at Meeveem Limited, 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 Meeveem Limited. 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 Meeveem Limited
✨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 Meeveem Limited!
✨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.