Junior ML Engineer β€” EdTech AI & NLP (Hybrid) in St Albans

Junior ML Engineer β€” EdTech AI & NLP (Hybrid) in St Albans

St Albans Full-Time 72000 - 88000 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Build next-gen learning models to personalise education using ML and NLP.
  • Company: Cierti, a forward-thinking EdTech company in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovative educational solutions.
  • Why this job: Make a real difference in education by leveraging AI to enhance student learning.
  • Qualifications: Passion for machine learning and experience with data-driven development.

The predicted salary is between 72000 - 88000 Β£ per year.

Cierti in London is seeking a Junior Machine Learning Engineer to help build next-generation learning models that predict student knowledge and tailor activities for personalised education.

This hybrid role combines data-driven development with a passion for scalable ML solutions in an Ed Tech setting.

You will work with vast data from language tests, including text and voice data, and contribute to NLP-powered tools and assessments.

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Junior ML Engineer β€” EdTech AI & NLP (Hybrid) in St Albans employer: Cierti

Join a well-established organisation in the infrastructure and environmental services sector that values innovation and technical excellence. With a hybrid working model allowing just one day per week in London, you will enjoy a collaborative work culture that fosters professional growth and encourages tackling complex engineering challenges. This role offers the opportunity to make a significant impact on critical systems while working alongside a talented team dedicated to delivering high-quality solutions.

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Contact Details:

Cierti Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Junior ML Engineer β€” EdTech AI & NLP (Hybrid) in St Albans

✨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 Cierti!

✨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 Junior ML Engineer β€” EdTech AI & NLP (Hybrid) at Cierti.

✨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 Cierti.

✨Apply Directly through Our Website

When you find a suitable opening like Junior ML Engineer β€” EdTech AI & NLP (Hybrid) at Cierti, 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 Junior ML Engineer β€” EdTech AI & NLP (Hybrid) in St Albans

Machine Learning
Natural Language Processing (NLP)
Data Analysis
Python
Scalable ML Solutions
Data-Driven Development
Text Data Processing

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 Cierti, 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 Cierti. 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 Cierti

✨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 Cierti!

✨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.