About us
Enklare is a fast-growing Swedish company on a unique journey to make financial advice more accessible to everyone. We help customers reach their financial goals in a simple secure and personal way and to succeed we need the right talent on our team.
About the role
Were looking for a Machine Learning Engineer / Data Scientist to build improve and productionize ML models and data products across the company. Youll work end-to-end from discovery and feature engineering to deployment monitoring and continuous improvement turning business needs into reliable measurable solutions in production.
Our data/ML function is in an early phase which means youll have real influence. Were looking for someone who enjoys building from the ground up: shaping best practices creating reusable patterns and helping define how we develop deploy and operate ML at Enklare.
This role is for someone who enjoys building real systems: models that run reliably (batch and/or real-time) are versioned monitored and continuously iterated.
What youll do
Develop and improve ML models and decision systems across multiple domains (e.g. customer experience marketing credit)
Build robust feature pipelines and reusable data assets together with engineering
Deploy models to production (API and/or batch) with strong validation reproducibility and versioning
Set up monitoring for model performance data drift calibration and operational reliability
Run experiments and impact follow-up: measure outcomes iterate and document learnings
Collaborate cross-functionally with Product Engineering DevOps and Compliance to ship safely and fast
What were looking for
Experience as an ML Engineer Data Scientist or similar building production ML systems
Strong Python skills and hands-on experience with modern ML tooling
Proven ability to productionize models (e.g. Docker CI/CD APIs batch jobs model registry/versioning)
Solid understanding of evaluation and lifecycle management (metrics drift retraining strategies reliability)
Structured ownership-driven and able to communicate clearly in English (Swedish is a plus)
Comfortable operating in ambiguity and taking initiative you like building structure where it doesnt exist yet
What we offer
High ownership real impact and a short path from idea to production. Youll help shape our ML platform and ways of working building solutions that are used in real workflows with measurable outcomes and strong engineering standards.
Application
Apply in English (Swedish is also welcome). We review applications on an ongoing basis and will fill the role as soon as we find the right person. We look forward to welcoming you to Enklare!
About usEnklare is a fast-growing Swedish company on a unique journey to make financial advice more accessible to everyone. We help customers reach their financial goals in a simple secure and personal way and to succeed we need the right talent on our team.About the roleWere looking for a Machine L...
About us
Enklare is a fast-growing Swedish company on a unique journey to make financial advice more accessible to everyone. We help customers reach their financial goals in a simple secure and personal way and to succeed we need the right talent on our team.
About the role
Were looking for a Machine Learning Engineer / Data Scientist to build improve and productionize ML models and data products across the company. Youll work end-to-end from discovery and feature engineering to deployment monitoring and continuous improvement turning business needs into reliable measurable solutions in production.
Our data/ML function is in an early phase which means youll have real influence. Were looking for someone who enjoys building from the ground up: shaping best practices creating reusable patterns and helping define how we develop deploy and operate ML at Enklare.
This role is for someone who enjoys building real systems: models that run reliably (batch and/or real-time) are versioned monitored and continuously iterated.
What youll do
Develop and improve ML models and decision systems across multiple domains (e.g. customer experience marketing credit)
Build robust feature pipelines and reusable data assets together with engineering
Deploy models to production (API and/or batch) with strong validation reproducibility and versioning
Set up monitoring for model performance data drift calibration and operational reliability
Run experiments and impact follow-up: measure outcomes iterate and document learnings
Collaborate cross-functionally with Product Engineering DevOps and Compliance to ship safely and fast
What were looking for
Experience as an ML Engineer Data Scientist or similar building production ML systems
Strong Python skills and hands-on experience with modern ML tooling
Proven ability to productionize models (e.g. Docker CI/CD APIs batch jobs model registry/versioning)
Solid understanding of evaluation and lifecycle management (metrics drift retraining strategies reliability)
Structured ownership-driven and able to communicate clearly in English (Swedish is a plus)
Comfortable operating in ambiguity and taking initiative you like building structure where it doesnt exist yet
What we offer
High ownership real impact and a short path from idea to production. Youll help shape our ML platform and ways of working building solutions that are used in real workflows with measurable outcomes and strong engineering standards.
Application
Apply in English (Swedish is also welcome). We review applications on an ongoing basis and will fill the role as soon as we find the right person. We look forward to welcoming you to Enklare!
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