Senior ML Ops Engineer — Hybrid & Impactful AI Deployments
Senior ML Ops Engineer — Hybrid & Impactful AI Deployments

Senior ML Ops Engineer — Hybrid & Impactful AI Deployments

Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development and deployment of innovative AI systems in a collaborative environment.
  • Company: A leading AI technology firm based in London with a focus on impactful solutions.
  • Benefits: Enjoy unlimited annual leave, private healthcare, and a flexible hybrid working model.
  • Why this job: Make a real impact by solving client challenges with cutting-edge AI technology.
  • Qualifications: Strong Python skills, cloud platform experience, and knowledge of Docker and Kubernetes.
  • Other info: Join a dynamic team with opportunities for professional growth and development.

The predicted salary is between 43200 - 72000 £ per year.

A leading AI technology firm in London is looking for a Senior Machine Learning Ops Engineer to lead the development and deployment of cutting-edge AI systems. This role involves designing scalable ML software and collaborating with diverse teams to solve client challenges.

Candidates should have robust Python skills, cloud platform experience, and knowledge of container tools like Docker and Kubernetes.

The firm offers hybrid working with a flexible environment and outstanding benefits including unlimited annual leave and private healthcare.

Senior ML Ops Engineer — Hybrid & Impactful AI Deployments employer: The Rundown AI, Inc.

Join a pioneering AI technology firm in London that champions innovation and collaboration. With a flexible hybrid working model, unlimited annual leave, and comprehensive private healthcare, we prioritise employee well-being and growth. Our vibrant work culture fosters creativity and teamwork, making it an ideal environment for those looking to make a meaningful impact in the field of AI.
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Contact Detail:

The Rundown AI, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Ops Engineer — Hybrid & Impactful AI Deployments

Tip Number 1

Network like a pro! Reach out to folks in the AI and ML community, attend meetups, or join online forums. 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 projects, especially those involving Python, Docker, and Kubernetes. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common ML Ops scenarios. Think about how you would tackle real-world problems and be ready to discuss your thought process. Practice makes perfect!

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 Senior ML Ops Engineer — Hybrid & Impactful AI Deployments

Machine Learning
Python
Cloud Platform Experience
Docker
Kubernetes
Software Development
Collaboration Skills
Problem-Solving Skills
Scalability Design
AI System Deployment
Adaptability
Client Engagement

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your Python prowess and any experience you have with cloud platforms. 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 container tools like Docker and Kubernetes, as it’ll show us you’re the right fit for our team.

Be Yourself: We love authenticity! Let your personality shine through in your application. Share your passion for AI and how you’ve tackled challenges in previous roles.

Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at The Rundown AI, Inc.

Know Your Tech Inside Out

Make sure you brush up on your Python skills and be ready to discuss your experience with cloud platforms. The interviewers will likely ask you about specific projects where you've used these technologies, so have some examples ready that showcase your expertise.

Showcase Your Collaboration Skills

Since this role involves working with diverse teams, be prepared to talk about how you've successfully collaborated in the past. Think of instances where you solved client challenges as part of a team, and highlight your communication skills and adaptability.

Get Familiar with Container Tools

As knowledge of Docker and Kubernetes is essential, make sure you can discuss how you've used these tools in previous roles. Be ready to explain the benefits of using containers in ML deployments and any challenges you've faced while working with them.

Embrace the Hybrid Work Culture

The firm offers a flexible environment, so express your enthusiasm for hybrid working. Share how you manage your time and productivity in a remote setting, and be ready to discuss how you would maintain effective communication with your team while working from home.

Senior ML Ops Engineer — Hybrid & Impactful AI Deployments
The Rundown AI, Inc.
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  • Senior ML Ops Engineer — Hybrid & Impactful AI Deployments

    Full-Time
    43200 - 72000 £ / year (est.)
  • T

    The Rundown AI, Inc.

    50-100
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