At a Glance
- Tasks: Build next-gen learning models and tackle real-world machine learning challenges.
- Company: Ambitious EdTech start-up focused on personalised education through AI.
- Benefits: Competitive salary, exceptional L&D budget, and hybrid work model.
- Other info: Ideal for recent grads eager to redefine the future of education.
- Why this job: Make a visible impact in education using cutting-edge AI technology.
- Qualifications: Degree in relevant field and strong Python skills required.
The predicted salary is between 50000 - 60000 £ per year.
We're partnering with an ambitious and highly technical EdTech start-up to make personalised, high-quality education accessible to everyone through machine learning. Their flagship product is already helping English language learners improve their skills through intelligent, data-driven tutoring. Now, they're expanding their Machine Learning team and seeking a Junior ML Engineer to help build next-generation learning models capable of predicting student knowledge and recommending the optimum next learning activity. If you're passionate about AI, education, and solving genuinely meaningful problems, this is an opportunity to make a visible impact from day one.
Responsibilities
- As part of a growing ML team, you'll work on real-world machine learning challenges using a unique and extensive dataset.
- Building predictive machine learning models that improve learning outcomes.
- Working with data from more than 1 million language tests, including text and voice datasets.
- Developing and refining NLP-driven educational tools and assessment methods.
- Analysing large-scale and diverse datasets to uncover insights and improve model performance.
- Fine-tuning machine learning models for scalability, accuracy, and efficiency.
- Collaborating closely with software engineers and product specialists in a highly cross-functional environment.
- Contributing to the creation of innovative learning technologies that can be applied across multiple languages and subjects.
Ideal profile
- Degree in Computer Science, Data Science, Machine Learning or related discipline.
- Strong Python programming skills.
- Understanding of machine learning algorithms and evaluation metrics.
- Knowledge of Neural Networks, CNNs, RNNs and Transformer architectures.
- Exposure to Natural Language Processing (NLP).
- Experience using libraries such as Pandas and NumPy.
- Familiarity with automated ML workflows or pipelines.
Nice to Haves
- Experience building ML solutions end-to-end, from data preparation to production monitoring.
- Knowledge of CI/CD and MLOps practices.
- Experience with Reinforcement Learning.
- Experience working with voice/audio datasets.
- Ability to speak more than one language.
- Contributions to the ML community through blogs, talks, videos or open-source projects.
This would suit a recent grad or second jobber looking to make their next step up looking for an opportunity to work with cutting-edge AI technology whilst helping redefine the future of education.
Junior ML Engineer 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.
StudySmarter Expert Advice🤫
We think this is how you could land Junior ML Engineer 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 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 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 in St Albans
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.
