At a Glance
- Tasks: Build real-time data pipelines and optimise data for AI and machine learning.
- Company: Join SharpAtoms, a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values creativity and collaboration.
- Why this job: Make a significant impact by bridging data engineering with cutting-edge machine learning technologies.
- Qualifications: Bachelor’s or Master’s in Computer Science and experience in Python, SQL, and cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
SharpAtoms is looking for a Data Engineer to bridge traditional data modeling with machine learning. This role ensures data is clean and optimized for modeling and AI workloads, focusing on developing ETL/ELT pipelines, real-time data streaming, and implementing MLOps practices.
The ideal candidate holds a Bachelor’s or Master’s in Computer Science or a related field and has 3-7+ years of relevant experience. Skills in Python, SQL, and cloud platforms like AWS or Azure are essential for success.
AI/ML Data Engineer: Real-Time Pipelines & ML Ops employer: SharpAtoms
At SharpAtoms, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As an AI/ML Data Engineer, you will have access to cutting-edge technology and the opportunity to work alongside industry experts, ensuring your professional growth while contributing to impactful projects. Our commitment to employee development, coupled with a collaborative environment in a vibrant location, makes SharpAtoms an exceptional employer for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Data Engineer: Real-Time Pipelines & ML Ops
✨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 SharpAtoms!
✨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 AI/ML Data Engineer: Real-Time Pipelines & ML Ops at SharpAtoms.
✨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 SharpAtoms.
✨Apply Directly through Our Website
When you find a suitable opening like AI/ML Data Engineer: Real-Time Pipelines & ML Ops at SharpAtoms, 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 AI/ML Data Engineer: Real-Time Pipelines & ML Ops
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 SharpAtoms, 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 SharpAtoms. 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 SharpAtoms
✨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 SharpAtoms!
✨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.
