Machine Learning Engineer

Valcon A/S; Sweden; On-site; SEK 600,000 - 800,000; Full time

Benefits offered by this job

Tailor-made growth path including training and mentoring

Innovative work environment

Meaningful responsibilities from day one

Supportive and flexible work culture

Job summary

A technology consulting firm in Sweden seeks a Machine Learning Engineer to build and maintain ML solutions. The ideal candidate will have extensive experience in developing ML models using Python and tools like NumPy, Pandas, and scikit-learn. This position offers opportunities for personal development, a collaborative and innovative work environment, and a chance to make an immediate impact. Fluency in Swedish and English is essential.

Qualifications

• At least 3 years of experience as a Machine Learning Engineer or in a similar role.
• Strong programming skills in Python and experience with NumPy, Pandas, and scikit-learn.
• Fluent communication skills in both Swedish and English.

Responsibilities

• Develop machine learning models across the full ML lifecycle.
• Operationalize machine learning solutions in production environments.
• Build and maintain ML pipelines including model versioning and experiment tracking.

Skills

Python

NumPy

Pandas

Scikit-learn

Statistics

Hypothesis testing

Probability theory

CI/CD

Git

Education

Bachelor’s or Master’s degree in a relevant field

Tools

Azure Machine Learning Studio

Vector databases

Job description

Are you excited about building machine learning solutions that create real value for people and organizations? Do you enjoy working collaboratively, solving problems together, and turning ideas into practical, reliable systems? We are looking for a Machine Learning Engineer who wants to grow, contribute, and be part of a supportive and curious team.

You will be

As a Machine Learning Engineer, you will work across the full ML lifecycle – from experimentation to deployment and continuous improvement. You will, among other things, work with:

• Developing machine learning models using Python, NumPy, Pandas, and scikit-learn
• Modeling structured data using tree-based algorithms
• Performing advanced feature engineering
• Applying statistics, hypothesis testing, and probability theory to validate results
• Working with optimization algorithms to improve model performance
• Testing, verifying, and ensuring the robustness of ML models
• Operationalizing machine learning solutions in production environments
• Building and maintaining ML pipelines, including model versioning and experiment tracking
• Implementing CI/CD for machine learning and automated retraining workflows
• Making models production-ready and accessible through APIs
• Working with Azure Machine Learning Studio
• Developing and implementing RAG (Retrieval-Augmented Generation) models
• Designing strategies for chunking and embeddings
• Working with vector databases
• Using Git for version control and collaboration

Together with your colleagues, you will contribute to building scalable and maintainable ML solutions that fit business needs and create long‑term value.

What we are looking for

• A Bachelor’s or Master’s degree in a relevant field
• At least 3 years of experience as a Machine Learning Engineer or in a similar role
• Strong programming skills in Python and experience with NumPy, Pandas, and scikit-learn
• Solid experience in modeling structured data, particularly with tree-based algorithms
• Strong knowledge of statistics, hypothesis testing, and probability theory
• Experience with ML operationalization, pipelines, CI/CD, and automated retraining
• Experience working with Azure Machine Learning Studio
• Knowledge of RAG models, embeddings, chunking strategies, and vector databases
• Experience with model versioning, experiment tracking, and API-based deployments
• Strong skills in testing and validating machine learning models
• Experience using Git

Most importantly, you are humble, communicative, and pragmatic. You enjoy collaborating with others, explaining complex concepts in a clear way, and focusing on solutions that create real value.

We offer you

Personal Development
We provide a tailor‑made growth path including training, courses, certifications, and mentoring from experienced colleagues to support your continuous development.

An Innovative Work Environment
Join a collaborative team where knowledge sharing, curiosity, and respect are at the core of how we work. We believe diverse perspectives create better solutions and actively welcome applicants from all backgrounds.

Immediate Impact and Responsibility
From day one, you’ll be part of real projects – with the support of a team that helps you grow into the role. We entrust you with meaningful responsibilities that challenge you and help you grow.

An Inspiring Work Culture
We create a supportive and flexible environment where you are encouraged to be yourself and perform at your best, and where humility, collaboration, and knowledge sharing are highly valued.

Application

Does this sound interesting to you? Then, please apply below. If you would like to know more or have any questions, contact Elin Lindberg or Amna Mohamed // [e-mail] or [e-mail]

We will be reviewing applications and conducting interviews on an on‑going basis, so please send us your application as soon as possible.

Experience

• At least 3 years of experience as a Machine Learning Engineer or in a similar role
• Strong programming skills in Python and experience with NumPy, Pandas, and scikit-learn
• Fluent communication skills in both Swedish and English

Keywords

• Integrity, respect, curiosity and an open mind