At a Glance
- Tasks: Design and maintain ML pipelines, ensuring high performance and reliability.
- Company: Join Meetic, a leading online dating platform with a dynamic international team.
- Benefits: Enjoy flexible work-life balance, modern office perks, and professional growth opportunities.
- Other info: Participate in hackathons and social events while thriving in a collaborative environment.
- Why this job: Make a real impact on millions of connections while working with cutting-edge technology.
- Qualifications: 5-6 years in ML/DevOps, strong analytical skills, and a proactive attitude.
The predicted salary is between 60000 - 80000 £ per year.
At Meetic, a Match Group company, we have been pioneering online dating for over 20 years, leveraging our legacy to reinvent how people meet, connect, and build meaningful relationships across Europe and beyond. Our teams design, build, and scale platforms across 20+ countries and 18 languages, ensuring every single finds the right match for their lifestyle and lifestages.
Meetic relies heavily on data to drive and grow its business. The Data Science team sits at the crossroads of the company’s key challenges and makes the most of all the information contained in our data. It is part of Meetic’s Data Hub, which brings together all data-related stakeholders (Data Science, ML/Data Engineers, DBAs, BI). Our extensive data ecosystem allows us to work across all business domains: profile recommendations for our users, pricing and optimization of business models, optimization of subscription and à-la-carte offers, customer knowledge and experience, detection and prevention of harmful behaviors, marketing analytics and acquisition, image processing …and much more!
Our technical environment: Google Vertex AI, BigQuery, Elasticsearch, Kafka, Scala, Python, Spark, SQL, AWS… We are looking for creative and passionate people who enjoy working in a dynamic and international environment.
How you’ll make an impact:
- Design, implement and maintain ML pipelines and CI/CD workflows (training, deployment, retraining)
- Expose ML models through inference APIs (Cloud Run / Vertex AI Endpoints) to be consumed by product and platform services
- Own monitoring, alerting and reliability of ML systems in production
- Write optimized, high-performance, scalable, testable, maintainable, and observable code
- Ensure operational readiness of ML models (logging, metrics, incident handling)
- Act as a local ML Ops reference for the Paris Data Science team
- Support DS teams to industrialize models and experiments
Collaboration:
- Work in an international, multi-brand environment with teams across Europe, Canada, and the US
- Collaborate with platform teams (Canada/US) on GCP infrastructure and standards
- Work closely with Product squads of E&E brands to understand and address their needs
- Collaborate with Data Engineers and software architect to ensure data quality and production deployment of models
- Promote a data-driven culture in a highly collaborative environment and share your expertise
Technology watch:
Stay up to date with advances in machine learning and devops to apply best practices within the company.
We could be a match if:
- You hold an engineering degree or a Master’s degree in mathematics or computer science, with at least 5–6 years of experience in similar roles
- You enjoy discovering scientific methods and challenging existing ones, always keeping in mind the ultimate goal of improving the performance of our dating application
- Experience with ML / DevOps practices
- Experience with CI/CD, Docker, Terraform
- Experience with monitoring & alerting (Cloud Monitoring, Grafana, etc.)
- Understanding of IAM, service accounts, security
- Comfortable operating ML systems in production
- Strong understanding of model serving constraints
- Comfortable communicating in English during meetings
- Excellent analytical and synthesis skills
- Excellent written and verbal communication skills
- Rigorous scientific mindset
- Team spirit and proactive attitude
- Curiosity and strong learning ability
Nice to have:
- Experience working with Kafka or event-driven architectures in ML or data platforms
- Knowledge in A/B test framework
- Knowledge in QlikView, Looker, or other BI tools
Why Match Group?
- Work on products that impact millions, collaborating with global and diverse teams, shaping relationships and connections worldwide
- Benefit from a healthy work-life balance in a flexible and welcoming environment
- Enjoy a modern Paris office with a rooftop, close to transport and amenities
- Access Edenred lunch vouchers, a discounted ClassPass subscription, premium healthcare with WTW, and our Worklife sustainable mobility package
- Grow through e-learning, conferences, and knowledge-sharing sessions
- Thrive in a dynamic, agile tech environment with evolving microservices and a culture of knowledge sharing and autonomy
- Participate in hackathons and drive innovative projects
- Join regular social events like breakfasts, lunches, and apéros
- Use our products for free
Meetic, a Match Group company, is an equal opportunity employer and we value the rich dynamics that diversity brings to our company.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.
Senior MLOps / AI Engineer in London employer: Match Group
At Meetic, a Match Group company, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the heart of Paris, our modern office offers a vibrant environment with flexible working arrangements, competitive benefits including premium healthcare and lunch vouchers, and ample opportunities for professional growth through e-learning and knowledge-sharing sessions. Join us to make a meaningful impact on millions of users while enjoying a healthy work-life balance and engaging in regular social events.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MLOps / AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research Meetic and its brands, understand their data-driven approach, and think about how your skills can contribute. Practise common interview questions and be ready to showcase your experience with ML pipelines and CI/CD workflows.
✨Tip Number 3
Show off your projects! Whether it's through a portfolio or GitHub, demonstrate your hands-on experience with tools like Google Vertex AI, Python, and Docker. Highlighting your practical skills can set you apart from other candidates.
✨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, it shows you’re genuinely interested in joining the Meetic team and contributing to our mission of connecting people.
We think you need these skills to ace Senior MLOps / AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior MLOps / AI Engineer role. Highlight your experience with ML pipelines, CI/CD workflows, and any relevant technologies like Google Vertex AI or Docker. We want to see how your skills align with what we do at Meetic!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data-driven decision-making and how you can contribute to our mission of connecting people. Don’t forget to mention your collaborative spirit and any international experience you have.
Showcase Your Projects:If you've worked on interesting projects related to ML or DevOps, make sure to showcase them in your application. We love seeing real-world examples of your work, especially if they demonstrate your problem-solving skills and creativity!
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 get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Match Group
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Google Vertex AI, BigQuery, and Python. Be ready to discuss how you've used these tools in your previous roles and how they can be applied to Meetic's data-driven environment.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in ML Ops or AI engineering. Highlight specific projects where you designed and implemented ML pipelines or improved system reliability, as this will demonstrate your hands-on experience and analytical mindset.
✨Emphasise Collaboration
Since the role involves working with international teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've worked with cross-functional teams, especially in a multi-brand context, to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about Meetic's data ecosystem and future projects. This shows your genuine interest in the company and helps you understand how you can contribute to their mission of connecting people through innovative technology.
