At a Glance
- Tasks: Design and manage ML infrastructure, automate processes, and deploy models with cutting-edge tech.
- Company: Innovative scale-up fighting fake news and online hate with AI tools.
- Benefits: Competitive salary, unlimited holidays, flexible working, and equity after one year.
- Other info: Must be based in the UK; excellent growth opportunities in a dynamic environment.
- Why this job: Join a mission-driven team making a real impact in the digital world.
- Qualifications: Experience with DevOps tools and deploying ML models; up-to-date with MLOps best practices.
The predicted salary is between 100000 - 120000 £ per year.
About the Company
We’re a Scale-up that has been developing AI tools to detect and stop the spread of fake news, images and videos, combatting online hate and enabling a fairer digital world. We’ve been doing this for 5 years now and have grown to a global team of 150 so far. We’ve had plenty of success with our text-based and image/video processing tools.
About the Role
We’re looking for an MLOps Engineer to develop our ML infrastructure and improve delivery speed by automating processes. You’ll work with our Scientists and AI Engineers productionizing Deep Learning (Vision and NLP) models to cloud and edge devices, driving the deployment and monitoring of models throughout the lifecycle.
Responsibilities
- Design, develop and manage Machine Learning infrastructure.
- Drive the development of ML infrastructure and productionize Deep Learning (Vision and NLP) models.
- Improve delivery speed by automating processes.
- Work with Scientists and AI Engineers to deploy models to cloud and edge devices.
- Drive the deployment and monitoring of models throughout their lifecycle.
Requirements
- Experience with DevOps tools (Chef, Jenkins, Maven, Cradle, Puppet, Ansible etc).
- Experience with Cloud scaling tools (EC2, ELB, S3, Cloudformation etc).
- Experience with Automated pipelines and version tools (MLFlow, Kubeflow, Polyaxon etc).
- Experience in deploying ML models.
- Up to date with MLOps best practices.
What We Offer
- Competitive salary up to £120k.
- Unlimited holidays.
- Flexible working.
- Equity within the business after your first year.
Important Note
You must be in the UK to be considered for this position.
MLOps Engineer in London employer: MBN Solutions
As a dynamic Scale-up, we are dedicated to creating impactful AI tools that foster a fairer digital landscape. Our collaborative work culture encourages innovation and personal growth, offering unlimited holidays and flexible working arrangements, alongside competitive salaries and equity opportunities. Join us in our mission to combat misinformation and make a difference in the digital world while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your MLOps projects. This gives you a chance to demonstrate your expertise in deploying ML models and using DevOps tools.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of cloud scaling tools and automated pipelines. We recommend practicing common MLOps scenarios to show you’re ready to hit the ground running.
✨Tip Number 4
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 joining our mission to combat fake news and promote a fairer digital world.
We think you need these skills to ace MLOps Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the MLOps Engineer role. Highlight your experience with DevOps tools and cloud scaling tools, as these are key for us. We want to see how your skills align with our mission to combat fake news and promote a fairer digital world.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our team. Mention specific projects or experiences that relate to deploying ML models and automating processes, as this will resonate with us.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with ML infrastructure or automated pipelines. This gives us a clear picture of your hands-on experience and how you can help improve our delivery speed.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Stack
Make sure you’re familiar with the specific DevOps tools and cloud scaling technologies mentioned in the job description. Brush up on your experience with tools like Jenkins, EC2, and MLFlow, as you might be asked to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you’ve automated processes or improved delivery speed. Think of examples that highlight your ability to work collaboratively with scientists and AI engineers to productionise models effectively.
✨Stay Updated on MLOps Best Practices
Familiarise yourself with the latest trends and best practices in MLOps. Be ready to share your thoughts on how these practices can enhance model deployment and monitoring throughout their lifecycle.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s current projects or future goals in combating fake news and online hate. This shows your genuine interest in their mission and helps you gauge if it’s the right fit for you.
