Senior Machine Learning Platform/Ops Engineer
- Level
- Senior
- Work type
- Hybrid · Kyiv
Not stated in the posting: salary, visa.
Open. First seen 2 October 2026.
About the role
Preply's standard text
We power people’s progress.
At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.
We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.
Preply's standard text
Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.
About the role
As Preply scales its AI-powered learning platform, we’re looking for an experienced Senior ML Platform/Ops Engineer to help productionize machine learning systems with high reliability, performance, and observability.
You’ll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment.
We’ve reached 90%+ adoption of AI coding tools across engineering, and we’re now moving towards more autonomous, AI-Augmented development at scale. At Preply, engineers have direct access to the best tools available, with the freedom to use them fully and experiment as they build.
You’ll collaborate closely with ML Scientists, Backend Engineers, and Data Engineers to shape the foundations of our ML lifecycle.
What you’ll be doing
- Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton
- Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling)
- Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.)
- Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent)
- Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams
- Ensure ML services are modular, testable, and monitored from day one
- Exploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving)
What we’re looking for
- Proven experience designing and deploying ML systems in production (5+ years in relevant roles)
- Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.)
- Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows
- Understanding of ML model lifecycles: training, validation, deployment, and monitoring
- Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s)
- Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven.
- Exposure to LLM serving, vector databases, or GenAI-powered product flows
- Deep, hands-on expertise in AI tools, especially in agentic AI SDLC
Preply's standard text
Why you’ll love it at Preply
- An open, collaborative, dynamic and diverse culture;
- A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
- A competitive financial package with equity, leave allowance and health insurance;
- Access to free mental health support platforms;
- The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)
#LI-VL1
Preply's standard text
Our Principles
- Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
- We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
- Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
- Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
- Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
- Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
- Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
- Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
- Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
- One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.
Diversity, Equity, and Inclusion
Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
What this role asks for
Standard for data science / ML roles
LLM · Machine Learning · Python · SQL
Common in data science / ML postings at any company.
45% of this description is written for the role. The rest is Preply's standard text, folded away below.
Read against Preply's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 54 open in Engineering. 22 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (35 of 54), CI/CD (29 of 54), AWS (25 of 54), Django (18 of 54), Generative AI (17 of 54), Machine Learning (17 of 54), GCP (13 of 54)
OTHER ROLES ON THIS TEAM
- Senior ML Platform Engineer (Agentic Platform) posted Oct 13
- Senior ML Platform Engineer (GenAI Platform) posted Oct 13
- Senior ML Platform Engineer (Agentic Platform) posted Oct 13
- Senior ML Platform Engineer (GenAI Platform) posted Oct 13
- Senior ML Platform Engineer (Agentic Platform) posted Oct 13
- Senior ML Platform Engineer (GenAI Platform) posted Oct 13
- Senior Engineering Manager (Data Platform) posted Oct 9
- Senior Engineering Manager (Data Platform) posted Oct 9
- Senior Engineering Manager (Data Platform) posted Oct 9
- Engineering Manager for Martech team posted Oct 8
- Engineering Manager for Martech team posted Oct 8
- Senior GRC Analyst posted Sep 29
- Senior GRC Analyst posted Sep 29
- Senior Engineering Manager (GenAI & Agentic Platforms) posted Sep 28
- Senior Engineering Manager (GenAI & Agentic Platforms) posted Sep 28
- Senior Engineering Manager (GenAI & Agentic Platforms) posted Sep 28
- Senior Platform Software Engineer - Developer Platform posted Sep 23
- Senior Platform Software Engineer - Developer Platform posted Sep 23
- Senior Platform Software Engineer - Developer Platform posted Sep 23
- Senior Machine Learning Platform/Ops Engineer posted Sep 23
- Senior Full-stack Engineer - CRM posted Sep 22
- Senior Platform Software Engineer - R&D Automation posted Sep 18
- Senior Platform Software Engineer - R&D Automation posted Sep 18
- Senior Platform Software Engineer - R&D Automation posted Sep 18
- Director of IT posted Sep 17
- Senior II Full-Stack Engineer (back-end heavy) posted Sep 7
- Engineering Manager posted Aug 18
- Senior Full-stack Engineer (backend-heavy) posted Aug 10
- Senior II - Back-End Engineer posted Aug 10
- Senior II Security Engineer - Platform posted Aug 3
- Senior Platform Software Engineer - SRE posted Aug 3
- Director of IT posted Jul 27
- Staff Platform Engineer posted Jul 8
- Engineering Manager posted Jul 3
- Engineering Manager posted Jul 3
- Staff Machine Learning Ops Engineer posted Jun 24
- Staff Machine Learning Ops Engineer posted Jun 24
- Staff Machine Learning Ops Engineer posted Jun 24
- Senior II Full-Stack Engineer (back-end heavy) posted May 6
- Senior Back-End Engineer posted Apr 28
- Senior II Security Engineer - Platform posted Apr 13
- Senior II Security Engineer - Platform posted Apr 13
- Staff Platform Engineer posted Feb 23
- Senior II Full-Stack Engineer (back-end heavy) posted Feb 13
- Staff Platform Engineer posted Feb 3
- Senior Platform Software Engineer - SRE posted Jan 12
- Senior Platform Software Engineer - SRE posted Jan 12
- Staff Back-end Engineer posted Dec 23
- Staff Back-end Engineer posted Dec 23
- Staff Back-end Engineer posted Dec 23
- Senior II - Back-End Engineer posted Sep 5
- Senior II Back-End Engineer posted Sep 5
- Senior Back-End Engineer posted Nov 22
From the team and dates on Preply's own job board.
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