At a Glance
- Tasks: Build and maintain data pipelines, develop machine learning models, and collaborate on innovative solutions.
- Company: Join a growing tech team in Newcastle with a focus on modern data platforms.
- Benefits: Earn £40,000 to £55,000, enjoy hybrid working, 25 days holiday, and extensive benefits.
- Other info: Continuous training for career progression in a dynamic and supportive environment.
- Why this job: Make a real impact by turning complex data into intelligent outcomes with cutting-edge technology.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and cloud platform knowledge.
The predicted salary is between 40000 - 55000 € per year.
We're looking for a Data & Machine Learning Engineer to join a growing technology team in Newcastle. This role offers the chance to work on modern data platforms and machine learning solutions, helping organisations turn complex data into intelligent, real-world outcomes.
What you'll have the opportunity to do as a Data & ML Engineer:
- Building and maintaining scalable data pipelines that support analytics and machine learning
- Developing and deploying machine learning models into production environments
- Working with cloud-based data platforms to ingest, process and transform data at scale
- Collaborating with engineers, analysts and stakeholders to deliver end-to-end solutions
- Supporting good engineering practice across testing, automation and deployment
- Contributing to Agile delivery through teamwork and continuous improvement
About the Candidate:
The right Data & ML Engineer should have:
- Experience in data engineering, machine learning or applied AI roles
- Strong skills in Python and SQL, with exposure to big data or ML frameworks
- Experience working with cloud platforms such as Azure, AWS or GCP
- Understanding of CI/CD, MLOps or infrastructure-as-code practices
- Confidence communicating technical concepts to non-technical audiences
- Eligible for SC clearance (5+ years continuous UK residency)
What's in it for you?
- Salary from £40,000 to £55,000
- Hybrid working based in Newcastle
- 25 Days holiday per annum
- Extensive benefits package
- Continuous training provided for career progression
Data & Machine Learning Engineer in Newcastle upon Tyne employer: ANSON MCCADE
Join a forward-thinking technology team in Newcastle as a Data & Machine Learning Engineer, where you'll enjoy a hybrid working model and a competitive salary of up to £55,000. Our supportive work culture prioritises continuous training and career progression, ensuring you have the tools and opportunities to thrive in your role while contributing to innovative data solutions that make a real-world impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Machine Learning Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and machine learning projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python, SQL, and cloud platform knowledge. Be ready to discuss your experience with CI/CD and MLOps, as these are hot topics in the field right now.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & Machine Learning Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & Machine Learning Engineer role. Highlight your experience with Python, SQL, and any cloud platforms you've worked with. We want to see how your skills match what we're looking for!
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 machine learning. Share specific examples of projects you've worked on that relate to the job description.
Showcase Your Projects:If you've got any personal or professional projects that demonstrate your skills in building data pipelines or deploying ML models, make sure to mention them. We love seeing real-world applications of your expertise!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our awesome team in Newcastle!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with big data and machine learning frameworks, as well as any cloud platforms like Azure, AWS, or GCP you've worked with. The more confident you are in your technical knowledge, the better you'll impress the interviewers.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built and maintained data pipelines or deployed machine learning models. Highlight your role in these projects and the impact they had. This will demonstrate your hands-on experience and ability to deliver real-world outcomes.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or relatable examples to make your points clear. This skill is crucial for collaboration and will set you apart from other candidates.
✨Embrace Agile Mindset
Familiarise yourself with Agile methodologies and be prepared to discuss how you've contributed to teamwork and continuous improvement in past roles. Showing that you understand and value good engineering practices will resonate well with the interviewers.
