Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design data pipelines and deploy machine learning models for impactful solutions.
- Company: Global consultancy expanding its data capabilities.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with hands-on engineering in a collaborative environment.
- Why this job: Join a team shaping the future of AI and data products.
- Qualifications: Experience in data engineering and machine learning.
The predicted salary is between 45000 - 55000 £ per year.
A global consultancy is expanding its data capability and hiring a Data & ML Engineer to deliver high-impact solutions across enterprise clients.
This is a hands-on engineering role where you'll design pipelines, deploy machine learning models, and help shape modern AI-driven systems.
Inżynier Danych ( K/M) in Newcastle upon Tyne employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Inżynier Danych ( K/M) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and machine learning models. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Inżynier Danych ( K/M) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the Data & ML Engineer role. We want to see how your background aligns with building intelligent data products and deploying AI solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at StudySmarter. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any data pipelines or machine learning models, don’t hold back! Include links or descriptions of your projects to demonstrate your hands-on experience. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Data Tools
Make sure you’re familiar with the data tools and technologies mentioned in the job description. Brush up on your knowledge of data pipelines, machine learning frameworks, and any specific programming languages they use. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about your previous projects involving data engineering and machine learning. Have a couple of examples ready that highlight your problem-solving skills and how you’ve deployed real-world AI solutions. This will demonstrate your hands-on experience and ability to deliver high-impact results.
✨Understand the Company’s Vision
Research the consultancy's approach to data and AI. Understanding their goals and how they plan to scale modern data platforms will help you align your answers with their vision. It also shows that you’re genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their current data projects, team dynamics, or future technology plans. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.