01
Python
Required
TRCI-26-06519
Senior Machine Learning Engineer – Customer Analytics & Recommendation Systems
This contract role in Helsinki focuses on building and deploying machine-learning solutions for customer churn, propensity, lifetime value, and next-best-action recommendations. The core requirements include Python, SQL, PySpark, model development and validation, feature and label engineering, AWS S3 with data-lake or lakehouse architecture, MLOps, and NLP modeling; Apache Iceberg or Delta tables and Dremio are also named in the technical requirements. The work includes point-in-time-correct datasets, predictive pipelines, recommendation ranking, and model performance checks across customer segments and time periods. The structured input gives an experience band of 6–8 years, while the description says 5 years; this summary uses 6–8 years as the structured band and notes the discrepancy. Helsinki is specified, but the work mode is not; Finnish citizenship or at least three years of continuous Finnish residency is stated as the security-clearance eligibility criterion.
Position summary
- Location
- Finland
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
This contract role in Helsinki focuses on building and deploying machine-learning solutions for customer churn, propensity, lifetime value, and next-best-action recommendations. The core requirements include Python, SQL, PySpark, model development and validation, feature and label engineering, AWS S3 with data-lake or lakehouse architecture, MLOps, and NLP modeling; Apache Iceberg or Delta tables and Dremio are also named in the technical requirements. The work includes point-in-time-correct datasets, predictive pipelines, recommendation ranking, and model performance checks across customer segments and time periods. The structured input gives an experience band of 6–8 years, while the description says 5 years; this summary uses 6–8 years as the structured band and notes the discrepancy. Helsinki is specified, but the work mode is not; Finnish citizenship or at least three years of continuous Finnish residency is stated as the security-clearance eligibility criterion.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
02
SQL
Required
03
PySpark
Required
04
Apache Spark
Required
05
Machine learning
Required
06
Deep learning
Required
07
NLP
Required
08
Sentiment analysis
Required
09
AWS
Required
10
Amazon S3
Required
11
Data lake
Required
12
Lakehouse
Required
13
Apache Iceberg
Required
14
Delta Lake
Required
15
Dremio
Required
16
Kubeflow
Required
17
MLflow
Required
18
Amazon SageMaker
Required
19
MLOps
Required
20
Feature store
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Python programming
SQL
PySpark
Machine-learning model development, training, and validation
Feature engineering and target or label creation
AWS S3 and data-lake or lakehouse architecture
Apache Iceberg or Delta tables and Dremio
MLOps using Kubeflow, MLflow, SageMaker, or equivalent
NLP modeling and sentiment-based feature development
Customer churn, propensity, customer lifetime value, and recommendation modeling
Preferred
Nice to Have
There are no additional preferred qualifications for this position. If you meet the essential requirements, we encourage you to apply.
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Senior Machine Learning Engineer – Customer Analytics & Recommendation Systems
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