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- Tasks: Lead a talented team to shape and scale MLOps for a thriving digital marketplace.
- Company: Join a leading sustainable ecommerce platform with 35 million users globally.
- Benefits: Enjoy private health coverage, mental wellbeing support, and a competitive salary up to £140,000.
- Why this job: Make a real impact in the world of machine learning and ecommerce innovation.
- Qualifications: Proven leadership in MLOps and strong technical skills in machine learning infrastructure.
- Other info: Flexible working options and a culture that champions diversity and creativity.
The predicted salary is between 84000 - 140000 £ per year.
About the Company
Our client is an extremely well-known digital marketplace focused on sustainable ecommerce. With over 35 million active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in the UK, EU, and US and has experienced significant growth, especially around the US market, and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation, values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance.
The role of Engineering Manager, MLOps, Marketplace, Ecommerce involves leading and scaling their MLOps function. You will be shaping how machine learning is developed, deployed, and scaled across the organisation. This is a genuinely high-impact role: you’ll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact.
Key Responsibilities:
- Manage and develop a team of 8 MLOps engineers, fostering collaboration, high performance, and personal growth.
- Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy.
- Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management.
- Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs.
- Oversee system reliability, cost optimisation, and vendor relationships to keep infrastructure scalable and efficient.
- Take ownership of critical ML/infra incidents, ensuring swift resolution and continuous learning.
- Deliver clear progress, risk, and priority updates to leadership in a concise and actionable way.
Requirements for the role:
- Proven experience leading an MLOps, ML Engineering, or Platform Engineering team.
- Solid background in applied machine learning and a passion for platform disciplines.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management.
- Knowledge of GPU computing for model training and serving.
- Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
- Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed).
- Strong understanding of monitoring, logging, and observability for large-scale ML systems.
- Experience in cost optimisation for compute/GPU workloads.
- Excellent people leadership and communication skills, able to influence technical and non-technical stakeholders.
- Comfortable working in a fast-paced, collaborative environment with strategic and operational responsibilities.
- Experience with vendor management and contract oversight.
- Familiarity with tools such as Databricks, Tecton (or Feast), Seldon, or SageMaker.
What can they offer you?
Private health and mental wellbeing coverage, including access to counselling and coaching. Salary of up to £140,000 + Bonus.
Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 employer: Owen Thomas | Pending B Corp
Contact Detail:
Owen Thomas | Pending B Corp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Knowing their values, especially around sustainability and inclusivity, will help you connect better during the conversation.
✨Tip Number 3
Showcase your leadership skills! Be ready to discuss how you've managed teams and projects in the past. Highlighting your experience with MLOps and cloud platforms will definitely catch their attention.
✨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!
We think you need these skills to ace Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Engineering Manager, MLOps. Highlight your experience in leading teams and managing ML infrastructure, as well as any relevant projects that showcase your skills in applied machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sustainable ecommerce and how your background aligns with the company's mission. Be sure to mention specific experiences that demonstrate your leadership and technical expertise.
Showcase Your Technical Skills: In your application, don't forget to highlight your hands-on experience with cloud platforms and containerised workloads. Mention any tools or frameworks you've worked with that are relevant to the role, like Docker, Kubernetes, or TensorFlow.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Owen Thomas | Pending B Corp
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge before the interview. Understand the latest trends in machine learning infrastructure, and be ready to discuss your hands-on experience with cloud platforms like AWS, GCP, or Azure. They’ll want to see that you can lead a team effectively while keeping up with the fast-paced world of ML.
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your people leadership abilities. Prepare examples of how you've fostered collaboration and high performance in your previous teams. Think about specific challenges you've faced and how you helped your team grow through them.
✨Align with Their Values
This company prides itself on inclusivity, creativity, and innovation. Be ready to discuss how your personal values align with theirs. Share experiences where you’ve championed diversity or contributed to a positive team culture, as this will resonate well with their ethos.
✨Prepare for Technical Questions
Expect some deep dives into technical topics, especially around ML pipelines, deployment, and monitoring. Brush up on your knowledge of containerised workloads and distributed computing frameworks. Being able to articulate your thought process during problem-solving scenarios will impress them.
