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- Tasks: Lead and grow a high-impact MLOps team while designing robust ML infrastructure.
- Company: Top-tier tech firm building next-gen ML platforms.
- Benefits: Lucrative salary package and hands-on leadership opportunities.
- Why this job: Shape the future of MLOps in a dynamic, greenfield environment.
- Qualifications: Experience in large-scale MLOps and leadership skills required.
- Other info: Work on-site in London 4-5 days a week with excellent career growth.
The predicted salary is between 72000 - 108000 £ per year.
You must have managed before or be someone with a vast amount of experience and leadership experience that wants to manage. You also need to have developed and deployed ML Ops pipelines in larger scale companies, for example, having hundreds of users of the MLOps infrastructure. If you do not have experience in either of the above criteria, you will not be considered for the role.
Location: London - 4/5 days a week on site
Compensation: Very lucrative package on offer.
We are working with a top-tier technology-led firm building a next-generation ML platform used across the business. They are now hiring an ML Ops Manager to lead and shape a newly forming MLOps function. This is a hands-on leadership role. You will initially be close to the architecture and implementation before scaling the team (3–4 engineers to start), setting standards, and owning the long-term MLOps strategy. The MLOps journey is still relatively greenfield. A key part of the role will be evaluating what exists today, discarding what doesn’t scale, and redesigning a robust MLOps platform capable of supporting hundreds of internal users.
What you’ll be doing:
- Leading and growing a small, high-impact MLOps team
- Designing and rebuilding production-grade MLOps infrastructure from the ground up
- Owning end-to-end ML lifecycle tooling: training, deployment, monitoring, reproducibility
- Partnering closely with ML researchers, engineers, and platform teams
- Setting technical direction while remaining hands-on early on
What they’re looking for:
- Experience building and deploying large-scale MLOps platforms used by hundreds of users
- Background in major startups or hyperscalers
- Either prior people management experience or a senior IC ready to step into management
- Strong engineering mindset - this is not a 'process-only' role
MLOps Manager in London employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who have experience in MLOps. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with MLOps pipelines. This hands-on evidence can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've managed teams and tackled challenges in previous roles. We want to see that you can lead and innovate!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace MLOps Manager in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your previous management roles and any experience you've got with MLOps pipelines. We want to see how you've led teams and tackled challenges in larger scale companies, so don’t hold back!
Be Hands-On: Since this role is all about being hands-on, share specific examples of your technical skills and how you've been involved in the architecture and implementation of MLOps solutions. We love a candidate who can get stuck in!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the job description. Use similar language and focus on the key responsibilities and skills mentioned. It shows us you’re genuinely interested in the role.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Arcus Search
✨Showcase Your Leadership Experience
Make sure to highlight any previous management roles or leadership experiences you've had. Discuss specific examples where you led a team or project, especially in MLOps or related fields. This will demonstrate your capability to manage and grow a team effectively.
✨Demonstrate Technical Expertise
Be prepared to discuss the MLOps pipelines you've developed and deployed. Share details about the scale of these projects, particularly how they supported hundreds of users. This will show that you have the hands-on experience needed for this role.
✨Understand the Company’s Needs
Research the company and its current MLOps infrastructure. Be ready to discuss what you would evaluate, discard, and redesign to create a robust platform. Showing that you understand their challenges and have ideas for solutions will set you apart.
✨Prepare for Technical Questions
Expect technical questions related to ML lifecycle tooling and production-grade infrastructure. Brush up on your knowledge of training, deployment, monitoring, and reproducibility. Being able to speak confidently about these topics will demonstrate your strong engineering mindset.
