Senior Machine Learning Engineer
5 Oct 2025
Europe
Verified by Turrior
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
85 / 100
Offer value
High value owing to a strong emphasis on advanced ML applications with direct impact on large-scale systems, appealing to seasoned professionals in the field.
- Involvement in large-scale ML operations with significant user impact
- Development of cutting-edge ML pipelines and frameworks
- Favorable prospects for career growth in tech innovation
Pros
- Engagement in cutting-edge technologies with real-world implications
- Potential for significant impact on user experience and engagement
- Strong career advancement in machine learning and data science
Cons
- High experience requirements may deter some applicants
- Need for continuous skill updating in a rapidly evolving field
- Potential for high-pressure delivery environments
Who it's for
Senior / Lead • Remote/Flexible
Good fit
- Senior machine learning engineers with proven skills
- Innovators looking to work on impactful tech projects
- Data scientists eager to tackle complex problems
Not recommended for
- Entry-level applicants lacking experience
- Candidates not interested in machine learning or innovation
- Those preferring strictly defined roles without scope for creativity
Motivation fit
Desire to work in high-impact tech rolesInterest in shaping the future of personalization technologyWillingness to participate in dynamic and evolving projects
Key skills
Machine learning system designAPIs and service development for predictionsExperience with cloud ML solutions
Score: 85/100 AI verified analysis
About the job
Senior Machine Learning Engineer
You will be joining the team that designs, builds, and scales machine learning systems powering personalization and customer engagement at large scale. This is an opportunity to work on production-ready ML pipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions of users.
Your responsibilities will include:
- Developing pipelines that transform behavioral, demographic, and contextual data into real-time features.
- Designing APIs and services for low-latency prediction and decision-making.
- Implementing frameworks for A/B testing, exploration/exploitation strategies, and model evaluation.
- Working closely with product and engineering teams to balance engagement, business value, and compliance.
- Establishing monitoring, logging, and retraining workflows to continuously validate and improve models.
What we expect from you:
- 5+ years of applied ML engineering experience (recommendation systems, personalization, ranking, or ads).
- Strong background in Python and/or Go, SQL, and ML frameworks such as TensorFlow or PyTorch.
- Experience deploying real-time ML systems (low-latency serving, feature stores, event-driven architectures).
- Familiarity with cloud ML platforms (Vertex AI, SageMaker, or similar).
- Experience with data warehouses (BigQuery, Snowflake, Redshift).
- Understanding of multi-objective optimization and trade-offs in personalization.
- Ability to thrive in a fast-paced, startup-style environment
Will be a plus:
- Experience in martech, adtech, CRM, or large-scale consumer personalization.
- Exposure to bandit algorithms or reinforcement learning.
- Prior work on systems serving millions of users at scale.
- Experience with Google Cloud Platform (GCP).
Soft Skills:
- Fluent English and strong communication skills.
- Proactive and positive attitude.
- Ability to work 9am – 4pm EST.
We offer:
- Opportunities to shape large-scale personalization technology.
- Competitive compensation package that matches your skills and experience.
- Professional growth, conferences, and skill development budget.
- Flexible remote work with support for your productivity.
- Collaborative and innovative environment where impact is valued over years of experience.
- Online&Offline activities
