At a Glance
- Tasks: Develop scalable AI solutions and improve models in cloud environments.
- Company: Yolk Recruitment, a leader in innovative tech recruitment.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Engage in the full model lifecycle from data ingestion to deployment.
- Why this job: Join a collaborative team and work on impactful AI projects.
- Qualifications: Strong experience in ML, predictive modelling, and NLP required.
The predicted salary is between 40000 - 50000 € per year.
Yolk Recruitment is looking for a Data Scientist based in Cardiff to develop scalable AI solutions within the engineering sector. You will be engaged in the full model lifecycle from data ingestion to deployment, improving models in cloud environments such as AWS and Azure.
The role requires strong experience in ML, predictive modelling, and NLP. This position offers a collaborative environment focused on impactful AI projects.
Data Scientist — AI/ML & LLM Production (Hybrid) employer: Yolk Recruitment
Yolk Recruitment is an exceptional employer, offering a dynamic and collaborative work culture in Cardiff that fosters innovation and professional growth. As a Data Scientist, you will have the opportunity to work on impactful AI projects within the engineering sector, supported by a team that values creativity and continuous learning. With access to cutting-edge technologies and a commitment to employee development, Yolk Recruitment stands out as a rewarding place to advance your career in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist — AI/ML & LLM Production (Hybrid)
✨Tip Number 1
Network like a pro! Connect with professionals in the AI and ML space on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive modelling and NLP. We recommend using platforms like GitHub to share your work and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We suggest practicing common data science interview questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist — AI/ML & LLM Production (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in ML, predictive modelling, and NLP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI solutions in the engineering sector and how you can contribute to our collaborative environment at StudySmarter.
Showcase Your Projects:If you've worked on any AI or ML projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that involve cloud environments like AWS and Azure.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Yolk Recruitment
✨Know Your Models Inside Out
Make sure you can discuss the full model lifecycle confidently. Be prepared to explain your experience with data ingestion, predictive modelling, and how you've improved models in cloud environments like AWS and Azure.
✨Showcase Your AI Projects
Bring examples of impactful AI projects you've worked on, especially those related to the engineering sector. This will demonstrate your hands-on experience and ability to contribute to their collaborative environment.
✨Brush Up on NLP Techniques
Since the role requires strong experience in Natural Language Processing, be ready to discuss specific techniques you've used. Highlight any challenges you faced and how you overcame them to improve model performance.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
