Senior ML Engineer: Lead Production AI & MLOps in Grimsby

Senior ML Engineer: Lead Production AI & MLOps in Grimsby

Grimsby Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Myn

At a Glance

  • Tasks: Lead the ML lifecycle, from architecture to monitoring, and mentor junior engineers.
  • Company: Join Myn, a forward-thinking company in Grimsby with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact by bridging data science and software engineering in a dynamic team.
  • Qualifications: Extensive ML experience, proficiency in Python, and strong MLOps knowledge.

The predicted salary is between 60000 - 80000 £ per year.

Myn is seeking an experienced Machine Learning Engineer to join their team in Grimsby. In this role, you will bridge data science and software engineering, owning the entire ML lifecycle from architecture to monitoring.

The ideal candidate will have extensive experience deploying ML models, proficiency in Python, and strong knowledge of MLOps practices. This role also offers the chance to mentor junior engineers and work closely with cross-functional teams.

Senior ML Engineer: Lead Production AI & MLOps in Grimsby employer: Myn

Myn is an exceptional employer that fosters a collaborative and innovative work culture in Grimsby, where you can thrive as a Senior ML Engineer. With a strong emphasis on employee growth, you will have the opportunity to mentor junior engineers and engage with cross-functional teams, all while enjoying competitive benefits and a supportive environment that values your contributions to the ML lifecycle.

Myn

Contact Details:

Myn Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer: Lead Production AI & MLOps in Grimsby

Tip Number 1

Network like a pro! Reach out to current or former employees at Myn on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your ML projects, especially those involving MLOps. This will help us demonstrate your hands-on experience and problem-solving abilities.

Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on Python and MLOps concepts. We recommend doing mock interviews with friends or using online platforms to build confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.

We think you need these skills to ace Senior ML Engineer: Lead Production AI & MLOps in Grimsby

Machine Learning
MLOps
Python
Model Deployment
Data Science
Software Engineering
ML Lifecycle Management

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with deploying ML models and your proficiency in Python. 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 your experience with MLOps practices and how you’ve bridged data science and software engineering in past projects.

Be Yourself:Let your personality shine through in your application. We’re looking for someone who can mentor junior engineers and collaborate with cross-functional teams, so show us your teamwork spirit!

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 don’t miss out on any important updates from us!

How to prepare for a job interview at Myn

Know Your ML Lifecycle

Make sure you can confidently discuss the entire machine learning lifecycle. Be prepared to explain how you've owned projects from architecture to monitoring, and share specific examples of models you've deployed.

Showcase Your Python Skills

Brush up on your Python knowledge, especially libraries relevant to ML and MLOps. During the interview, be ready to demonstrate your coding skills or discuss past projects where you used Python effectively.

Understand MLOps Practices

Familiarise yourself with MLOps best practices. Be prepared to talk about how you've implemented these in previous roles, and think of ways you can improve processes at Myn.

Mentorship Mindset

Since this role involves mentoring junior engineers, think about your approach to mentorship. Prepare examples of how you've supported others in their development and how you plan to foster a collaborative environment.