At a Glance
- Tasks: Design and build scalable data pipelines for AI-driven learning analytics.
- Company: Join a forward-thinking EdTech company in London.
- Benefits: Competitive salary, on-site work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Make a difference in education through innovative data solutions.
- Qualifications: Strong Python and SQL skills, with experience in data engineering.
The predicted salary is between 36000 - 60000 £ per year.
Location: London, UK
Work Model: On-site
Role Type: Full-Time
We are looking for a Learning Data Engineer with strong experience in Python and data pipelines to join our client’s on-site team in London. This role focuses on designing, building, and maintaining scalable data pipelines that power AI-driven learning analytics and personalized education.
What You’ll Do
- Develop pipelines for ingestion, transformation, and embedding of educational content
- Support LLM-based learning applications with vector databases and semantic search
- Collaborate with AI engineers and educators to optimize adaptive learning systems
- Ensure data privacy, security, and compliance in educational environments
- Monitor and optimize data workflows and AI pipelines for production
Required Skills & Experience
- Strong experience with Python, SQL, and data engineering frameworks
- Knowledge of vector databases (Pinecone, Weaviate, Milvus)
- Experience integrating data pipelines for AI/ML applications
- Understanding of EdTech data workflows and student learning analytics
Nice to Have
- Cloud experience (GCP, AWS, Azure)
- Familiarity with LLM-based learning applications
- Experience with MLOps for education-focused AI
Learning Data Engineer – AI & Analytics employer: Talenzon group
At Talenzon group, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior MLOps Engineer in our London office, you will benefit from a dynamic environment that encourages professional growth through hands-on experience with cutting-edge technologies like AWS and SageMaker. Our commitment to employee development, coupled with the vibrant city of London as your workplace, makes Talenzon an exceptional employer for those seeking meaningful and rewarding careers in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Learning Data Engineer – AI & Analytics
✨Get Involved in Data Science Meetups
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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 Talenzon group.
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We think you need these skills to ace Learning Data Engineer – AI & Analytics
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 Talenzon group, 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 Talenzon group. 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 Talenzon group
✨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 Talenzon group!
✨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.
