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- Tasks: Design and deploy machine learning models for scalable ERP solutions.
- Company: Leading cloud ERP software company in the UK with a focus on sustainability.
- Benefits: Valued contributions, collaborative culture, and commitment to work-life balance.
- Why this job: Join a team that integrates ethical ML solutions and makes a real impact.
- Qualifications: Bachelor's degree, strong Python skills, and MLOps experience required.
- Other info: Great opportunity for growth in a supportive and innovative environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading cloud ERP software company in the UK is seeking a Data Scientist - Machine Learning Engineer to design, develop, and deploy machine learning models. You will collaborate with cross-functional teams to integrate ethical and scalable ML solutions into our products.
Ideal candidates will have:
- A Bachelor's degree in a relevant field
- Strong proficiency in Python
- MLOps experience
Join a culture built on trust, balance, and commitment to sustainability where your contributions will be valued.
ML Engineer — MLOps & AI for Scalable ERP employer: UNIT4 NV
Contact Detail:
UNIT4 NV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer — MLOps & AI for Scalable ERP
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company's products. Be ready to discuss how you can integrate ethical and scalable ML solutions into their offerings—this will show you're genuinely interested!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining our team. Plus, it gives you a better chance to stand out in the hiring process.
We think you need these skills to ace ML Engineer — MLOps & AI for Scalable ERP
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and any MLOps experience you have. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences relate to designing and deploying machine learning models, as that’s what we’re all about!
Be Authentic: We value a culture built on trust and commitment, so let your personality shine through in your application. Share your passion for ethical and scalable ML solutions – it’ll make you stand out!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with us.
How to prepare for a job interview at UNIT4 NV
✨Know Your ML Basics
Brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation metrics, and the ethical implications of AI. This will show that you not only understand the technical side but also the responsibility that comes with it.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to solve coding problems or explain your previous projects. Have examples ready that highlight your coding style and problem-solving approach.
✨Understand MLOps
Since MLOps is a key part of the role, make sure you can talk about your experience with deploying and maintaining ML models. Familiarise yourself with tools and practices that ensure scalable and efficient operations, as this will be crucial for the company’s products.
✨Emphasise Collaboration
This role involves working with cross-functional teams, so be prepared to discuss how you've successfully collaborated in the past. Share specific examples where your teamwork led to successful project outcomes, highlighting your communication skills and adaptability.