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- Tasks: Design and deploy innovative machine learning models to enhance our software solutions.
- Company: Join Unit4, a people-centric company revolutionising ERP software.
- Benefits: Enjoy uncapped time off, remote work, and a supportive culture.
- Why this job: Make a real impact with cutting-edge technology in a fast-paced environment.
- Qualifications: Bachelor's degree in relevant field; strong ML and Python skills required.
- Other info: Be part of a diverse team committed to sustainability and inclusivity.
The predicted salary is between 28800 - 48000 £ per year.
We are in Business for People, empowering people in service organizations with innovative Enterprise and Business software solutions. We’ve innovated and taken a new approach to delivering ERP that works for people. Self-driving, adaptive and intuitive software that is changing the way people work. Our solutions empower people and deliver a better people experience so people can spend time on meaningful high value work they live for.
As a Data Scientist - Machine Learning Engineer at Unit4, you will help design, develop, and deploy machine learning models that drive innovation and efficiency in our software solutions. You will work closely with data engineers, software developers, and product managers to ensure our models are scalable, robust, ethically designed, and aligned with business goals.
Key Responsibilities:- Collaborate with cross-functional teams, including software engineers and product managers, to support the design and integration of responsible ML solutions into company products.
- Design, develop, deploy, and maintain machine learning models to solve diverse business challenges.
- Implement ML workflows using MLOps best practices for continuous integration and deployment.
- Ensure reproducibility, performance, reliability, scalability, and security of ML models in production.
- Implement responsible AI principles to ensure fairness, accountability, and transparency in AI solutions.
- Stay up-to-date with the latest trends and advancements in machine learning and MLOps.
- Bachelor’s degree in Computer Science, Mathematics, Physics or a related field.
- Master’s degree in Data Science, AI, or a related field is desirable.
- Strong understanding and experience in machine learning and MLOps.
- Strong proficiency in Python and experience with ML frameworks.
- Experience with Azure, ML lifecycle management tools (Azure Machine Learning Studio, MLflow, Databricks, etc.), and containerization tools (Kubernetes, Docker).
- Experience working with big data technologies is a plus.
- Experience in data quality and compliance is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Ability to work in an agile and fast-paced development environment.
Join Unit4 and be part of one of the most exciting journeys in the cloud ERP software space. We’re a fast-paced, high-growth, people-centric company, delivering enterprise software for a great people experience, and offering our own people a host of benefits and development opportunities. Grow with us at Unit4, we offer:
- a culture built on trust - giving you the freedom and autonomy to be successful;
- balance - with our uncapped time off policy, remote working opportunities and Global Wellbeing Days when the whole company can switch off and prioritize well-being;
- talented colleagues, role models and mentors - work, learn and be inspired by some of the best talent in the software industry;
- a commitment to sustainability - with initiatives such as our Act4Good program, a way for everyone at Unit4 to come together and engage in actions that benefit society and the planet;
- a safe and inclusive working environment – supported by our Employee Resource Groups, which are open to all and include Women at Unit4, Pride at Unit4, Mental Health and Access at Unit4, and People of Color at Unit4.
This role may require security clearance required for customer projects and access to sensitive (customer) data. That means that after you have accepted our offer, we could ask for background checks. Subject to applicable local laws, such security checks may require disclosure of personal information including criminal record declaration, right to work, personal identification and work history. No worries though – we’ll handle it according to local privacy laws and keep your info safe.
Unit4 is committed to ensuring equal opportunity for everyone. Together, we continue to build an inclusive culture that encourages and celebrates the diversity of our employees, where they all are seen as a real value to the company. We guarantee a fair consideration for employment, without discrimination. That’s why we make our hiring decisions solid based on merit, qualifications and current business needs. We invite you to be a part of this diversity and join our community!
Machine Learning Engineer employer: UNIT4 NV
Contact Detail:
UNIT4 NV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨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 or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and tools. Practice explaining your past projects and how they relate to the role at Unit4. Confidence and clarity can make a huge difference!
✨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, it shows you’re genuinely interested in being part of our team at Unit4.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for Machine Learning: When writing your application, let us see your enthusiasm for machine learning! Share any personal projects or experiences that highlight your skills and passion for the field. We love to see candidates who are genuinely excited about what they do.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Machine Learning Engineer role. Highlight relevant experience and skills that align with our job description. This shows us that you’ve done your homework and understand what we’re looking for.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you can find more information about our company culture and values there!
How to prepare for a job interview at UNIT4 NV
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and MLOps best practices. Be ready to discuss specific models you've worked on, the challenges you faced, and how you overcame them. This shows you're not just familiar with theory but have practical experience too.
✨Collaborate Like a Pro
Since this role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team projects, especially in agile environments.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some technical questions or case studies during the interview. Think about how you approach problem-solving in machine learning contexts and be prepared to explain your thought process clearly and logically.
✨Stay Current with Trends
Demonstrate your passion for the field by discussing recent advancements in machine learning and how they could apply to the company’s goals. This shows that you’re proactive and genuinely interested in contributing to their innovative solutions.