AI Engineer - Hybrid Role, Scalable ML & RAG
AI Engineer - Hybrid Role, Scalable ML & RAG

AI Engineer - Hybrid Role, Scalable ML & RAG

Full-Time 30000 - 42000 £ / year (est.) Home office (partial)
ALSTOM Gruppe

At a Glance

  • Tasks: Build and maintain innovative AI-driven products using scalable machine learning models.
  • Company: Leading technology firm with a focus on innovation and collaboration.
  • Benefits: Hybrid working model, comprehensive health care, and pension schemes.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: Strong expertise in AI/ML and relevant technical skills.
  • Other info: Exciting opportunities for career growth in a fast-paced environment.

The predicted salary is between 30000 - 42000 £ per year.

A leading technology firm is seeking an experienced AI Engineer in Newcastle to build, deploy, and maintain innovative AI-driven products. The role involves developing scalable machine learning models and collaborating with stakeholders while following best practices in MLOps.

Candidates should have strong expertise in AI/ML and relevant technical skills.

The company offers a hybrid working model and a comprehensive benefits package including health care and pension schemes.

AI Engineer - Hybrid Role, Scalable ML & RAG employer: ALSTOM Gruppe

Join a leading technology firm in Newcastle, where innovation meets collaboration. As an AI Engineer, you'll thrive in a hybrid work environment that promotes flexibility and work-life balance, while enjoying a comprehensive benefits package that includes healthcare and pension schemes. With a strong focus on employee growth and development, this company is dedicated to fostering a culture of continuous learning and advancement in the rapidly evolving field of AI and machine learning.
ALSTOM Gruppe

Contact Detail:

ALSTOM Gruppe Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer - Hybrid Role, Scalable ML & RAG

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and ML community, attend meetups, and connect on LinkedIn. 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 AI-driven projects and scalable machine learning models. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with MLOps. Practising common interview questions can help you feel more confident when it’s time to shine.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented AI Engineers like you. Plus, it’s a great way to ensure your application gets noticed by the right people.

We think you need these skills to ace AI Engineer - Hybrid Role, Scalable ML & RAG

AI/ML Expertise
MLOps Best Practices
Scalable Machine Learning Models
Collaboration with Stakeholders
Product Development
Deployment of AI-driven Products
Technical Skills in AI Engineering
Hybrid Working Model Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially any projects that showcase your skills in building scalable models. We want to see how your background aligns with the role, so don’t hold back!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your expertise can contribute to our innovative products. Keep it engaging and relevant to the job description.

Showcase Your Technical Skills: Don’t forget to mention your technical skills in your application. Whether it's MLOps or specific programming languages, we want to know what tools you’re comfortable with and how you’ve used them in past projects.

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 the role. Plus, it’s super easy!

How to prepare for a job interview at ALSTOM Gruppe

✨Know Your AI Inside Out

Make sure you brush up on your AI and machine learning knowledge. Be prepared to discuss your experience with scalable ML models and any innovative projects you've worked on. This will show that you're not just familiar with the concepts, but that you can apply them effectively.

✨Showcase Your MLOps Best Practices

Since the role involves following best practices in MLOps, be ready to talk about your approach to deploying and maintaining AI products. Share specific examples of how you've implemented MLOps in past projects, as this will demonstrate your hands-on experience and understanding of the field.

✨Collaborate Like a Pro

Collaboration is key in this role, so think of examples where you've successfully worked with stakeholders or cross-functional teams. Highlight your communication skills and how you’ve navigated challenges in team settings to deliver results.

✨Ask Insightful Questions

Prepare some thoughtful questions about the company's AI initiatives and their vision for future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage with the interviewers on a deeper level.

AI Engineer - Hybrid Role, Scalable ML & RAG
ALSTOM Gruppe

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