Senior MLOps Engineer

Senior MLOps Engineer

Full-Time 48000 - 84000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead MLOps initiatives, bridging data science and production efficiency.
  • Company: Join CreatorIQ, a top-rated tech company transforming the marketing industry.
  • Benefits: Enjoy 25 days vacation, wellness perks, stock options, and comprehensive healthcare.
  • Why this job: Make a real impact in a dynamic team focused on innovation and growth.
  • Qualifications: Experience in MLOps, Python proficiency, and a collaborative mindset required.
  • Other info: Flexible work model with opportunities for professional development and career growth.

The predicted salary is between 48000 - 84000 ÂŁ per year.

CreatorIQ is the operating system for creator‑led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day.

As a Senior MLOps Engineer on our Product Innovations team, you will serve as the technical lead for Applied MLOps, bridging the gap between experimental data science and production‑grade efficiency. You will focus heavily on ground truth generation, model evaluation, and pre/post processing decisions around a scaled vector embeddings ecosystem.

In this role, you’ll get to:

  • Architect Annotation & Measurement Pipelines: Own the design and implementation of human‑in‑the‑loop and auto‑annotation workflows. You will set up systems (e.g., Label Studio) to establish tight confidence metrics and rigorous Inter‑Annotator Agreement (IAA).
  • Drive Cost‑Efficiency via Evaluation: Create the ground truth, golden sets, and by‑model evaluation criteria that allows us to benchmark models and make informed data science decisions. Your work will directly impact margin by enabling us to deploy the right model for the right task.
  • Enforce Applied MLOps Standards: Implement "model‑as‑a‑judge" frameworks, deterministic PII scrubbing, and other best practices within our production pipelines to ensure our model‑driven products are robust and compliant.
  • Collaborate on Model Strategy: Work closely with our Data Science team to make applied generative decisions that result in stronger product outcomes and cost efficiencies.
  • Build & Integrate: Collaborate with engineering to integrate measurement loops into our broader infrastructure (AWS/GCP), ensuring our model lifecycle is automated and observable.

Who you are and what you’ll need for this position:

  • Annotation & Evaluation Expert: You have deep experience setting up annotation workstreams (using tools like Label Studio, Scale AI, or custom solutions) and know how to calculate and improve ground truth quality.
  • Applied MLOps Practitioner: You care about execution over policymaking. You have experience implementing model monitoring, versioning, and evaluation loops in a production environment.
  • Python Proficiency: You possess strong proficiency in Python, capable of writing the glue code, scripts, and API integrations necessary to bind our models to our application stack.
  • Model Optimization Mindset: You understand the trade‑offs between model performance, latency, and cost. You are excited about the challenge of proving that a smaller model can do the job of a massive LLM.
  • Cloud & Infrastructure Fluency: You are comfortable working within AWS (Sagemaker, S3) and GCP (Vertex AI) environments and can interface effectively with DevOps to deploy your solutions.
  • Collaborative Leader: You can act as a force multiplier for our Data Science team, equipping them with the tools and data they need to move faster.

Confidence can sometimes hold us back from applying for a job. But we’ll let you in on a secret: there’s no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Passionate about what we do at CreatorIQ? Please apply!

What you will get from us:

  • People: work with talented, collaborative, and friendly people who love what they do.
  • Guidance: utilize our learning platform to fully get the training and tools you’ll need to become successful here from your first day with us.
  • Work/life harmony: 25 days vacation, floating and set holidays, wellness allowance, and paid parental leave.
  • Stock options as part of our equity‑sharing program.
  • Healthcare coverage, encompassing mental health, physical therapies, dental, vision, cancer coverage, and more.
  • Comprehensive perks program providing stipends for wellness, cell phone and internet, home office setup, mental wellness, professional development, plus occasional company‑funded meal opportunities throughout the year.

At CreatorIQ, we believe that diversity is the key to unlocking our full potential. We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being intentional, pursuing excellence every day, embracing the journey together, being a good human, and staying focused on what’s important, we create an atmosphere that promotes collaboration and growth. Join us to celebrate differences, innovate together, and be a part of a business that is disrupting the marketing industry.

Senior MLOps Engineer employer: CreatorIQ

At CreatorIQ, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. Our flexible work model allows for a harmonious balance between in-person and remote work, while our commitment to employee growth is evident through comprehensive training programs and generous benefits, including 25 days of vacation and wellness allowances. Join us in Los Angeles, where you can thrive in a diverse environment and contribute to transforming the marketing industry alongside passionate and talented colleagues.
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Contact Detail:

CreatorIQ Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior MLOps Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at CreatorIQ. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Show off your skills! If you've got a portfolio or projects that highlight your MLOps expertise, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience.

✨Tip Number 3

Prepare for the interview by understanding CreatorIQ's mission and values. Be ready to discuss how your experience aligns with their goals of making businesses more human and impactful.

✨Tip Number 4

Don’t hesitate to apply through our website! Even if you don’t tick every box, if you’re passionate about the role and what we do, we want to hear from you. Your enthusiasm could be the game-changer!

We think you need these skills to ace Senior MLOps Engineer

Annotation Workstream Setup
Model Monitoring
Versioning
Evaluation Loops
Python Proficiency
Model Optimization
AWS Fluency
GCP Fluency
Collaboration Skills
Data Science Collaboration
Human-in-the-Loop Systems
Cost-Efficiency Strategies
Applied MLOps Standards Implementation
API Integration

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the opportunity to join our team and contribute to our mission.

Tailor Your CV: Make sure to customise your CV to highlight the skills and experiences that align with the Senior MLOps Engineer position. We love seeing how your background fits into what we do at CreatorIQ!

Be Authentic: Don’t be afraid to show your personality in your application. We value authenticity and want to get to know the real you, so let your unique voice come through in your writing.

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 review your application and get you on the path to joining our amazing team!

How to prepare for a job interview at CreatorIQ

✨Know Your Tech Inside Out

As a Senior MLOps Engineer, you’ll need to showcase your expertise in tools like Label Studio and cloud platforms such as AWS and GCP. Brush up on your knowledge of annotation workstreams and model evaluation techniques, so you can confidently discuss how you've implemented these in past projects.

✨Demonstrate Collaboration Skills

CreatorIQ values teamwork, so be prepared to share examples of how you've collaborated with data science and engineering teams. Highlight specific instances where your contributions helped improve processes or outcomes, showing that you can be a force multiplier for the team.

✨Showcase Your Problem-Solving Mindset

Be ready to discuss challenges you've faced in MLOps and how you approached solving them. Whether it’s optimising model performance or ensuring compliance, demonstrating your ability to think critically and adapt will resonate well with the interviewers.

✨Align with Company Values

CreatorIQ is all about being intentional and pursuing excellence. Familiarise yourself with their mission and values, and think about how your personal values align with theirs. During the interview, express your passion for making businesses more human and impactful, as this will show you're a great cultural fit.

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