At a Glance
- Tasks: Deploy and automate ML models to enhance customer experience.
- Company: Join a leading data team in the vibrant Manchester e-commerce scene.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on business outcomes with innovative technology.
- Qualifications: Experience in Python and a passion for learning MLOps.
The predicted salary is between 45000 - 55000 £ per year.
About the Role
Data Idols are working with an organisation that has one of the best data teams in the Manchester area. Home to some of the UK's best-known brands, this Machine Learning Engineer role will have a direct impact on the customer experience and business outcomes.
The Opportunity
Data is a key pillar in the growth and strategic direction in an organisation that are constantly innovating in the e-commerce space. As a Machine Learning Engineer, you will deploy and automate ML Models and make sure data products are put into production. You will have the opportunity to implement best practices using MLOps working in an AWS environment.
Skills and Experience
- Python
- Understanding of ML frameworks
- An interest in MLOps
- A passion to learn
- Knowledge of AWS
Machine Learning Engineer in Manchester employer: Data Idols
Data Idols is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within one of the best data teams in Manchester. Employees benefit from continuous learning opportunities, competitive remuneration, and the chance to work with renowned brands, all while contributing to impactful projects in the e-commerce sector. With a strong focus on employee growth and a commitment to best practices in MLOps, this role promises a rewarding career path for aspiring Machine Learning Engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your MLOps knowledge. Be ready to discuss how you've deployed and automated ML models in the past. Confidence in your technical skills can make all the difference!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Machine Learning Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and ML frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about machine learning and MLOps. Share your enthusiasm for working in an innovative e-commerce environment – we love to see that spark!
Showcase Your Learning Mindset:We value a passion for learning, so mention any courses, certifications, or personal projects that demonstrate your commitment to growing your skills in ML and AWS. It shows us you’re ready to dive in and make an impact!
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Data Idols
✨Know Your ML Frameworks
Make sure you brush up on the machine learning frameworks mentioned in the job description. Be ready to discuss your experience with them and how you've applied them in past projects. This shows you're not just familiar with the theory but can also implement it practically.
✨Showcase Your Python Skills
Since Python is a key requirement, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures. Having a few examples of your work ready to share can really impress the interviewers.
✨Get Comfortable with MLOps
As MLOps is a focus for this role, make sure you understand its principles and best practices. Be prepared to discuss how you would automate ML models and ensure they are production-ready. Showing enthusiasm for continuous learning in this area can set you apart.
✨Familiarise Yourself with AWS
Since the role involves working in an AWS environment, it’s crucial to have a basic understanding of AWS services related to machine learning. Brush up on services like SageMaker and Lambda, and be ready to explain how you would use them in your projects.
