Machine Learning Engineer - Gothenburg

Description:

About the Company Valcon is an international consulting firm operating at the intersection of business and technology, with a focus on creating data-driven solutions that make a real difference for its clients. The company combines strategic consulting with technical implementation and helps organizations take the next step in digitalization, data, and AI. Here you'll work in an environment where innovation, collaboration, and knowledge sharing are central. The team consists of experienced specialists in data, analytics, and machine learning who together drive development forward and create value from early concepts through production-ready solutions. As an employee, you'll have great opportunities to influence both technology choices and ways of working, while working on varied projects with well-known clients. The culture is characterized by entrepreneurial spirit, curiosity, and a drive to continuously develop – both as an individual and as a team. About the Role As a Machine Learning Engineer, you'll work closely with both technology and business to develop scalable and robust ML solutions. You'll be part of a team where collaboration, knowledge sharing, and curiosity are in focus. In this role, you will, among other things: Develop and train machine learning models in Python (e.g., using NumPy, Pandas, and scikit-learn) Work with feature engineering, data modeling, and statistical analysis Evaluate and optimize model performance through testing and experimentation Build, maintain, and further develop ML pipelines Deploy models to production and ensure stable operation over time Work with MLOps, including CI/CD, model versioning, and automated retraining Expose models via APIs and integrate them into business-critical systems Work with modern technologies such as Azure Machine Learning, vector databases, and embeddings Develop solutions in generative AI, for example RAG (Retrieval-Augmented Generation) Collaborate with other developers, data engineers, and stakeholders to create value from data You will work through the entire ML lifecycle – from experimentation and prototyping to production-ready solutions and continuous improvement. We're Looking for You Have at least 3 years of experience in Machine Learning or a similar role Have strong knowledge of Python and ML libraries Have experience developing, testing, and deploying ML models to production Have an understanding of statistics, probability theory, and model validation Have worked with ML pipelines, CI/CD, and MLOps Have experience with cloud services, preferably Azure Are experienced working in teams and communicating with both technical and non-technical stakeholders Communicate fluently in Swedish and English Other Information The position is full-time with an initial probationary period of six months. Salary and start date are subject to agreement. The position is based in Gothenburg. In this recruitment, Valcon works with Kraftsam Recruitment and Staffing. External recruitment firms and sales representatives are kindly but firmly asked to refrain from contacting. If you have questions about the position, please contact the responsible recruiter Kristina Maksimovic at [email protected] We look forward to your application!About the Company Valcon is an international consulting firm operating at the intersection of business and technology, with a focus on creating data-driven solutions that make a real difference for its clients. The company combines strategic consulting with technical implementation and helps organizations take the next step in digitalization, data, and AI. Here you'll work in an environment where innovation, collaboration, and knowledge sharing are central. The team consists of experienced specialists in data, analytics, and machine learning who together drive development forward and create…

Overview

Type

job

Status

active

Visibility

public

City

Stockholm

Address

Stockholm

GPS

59.335649747601, 18.070462451026copyopen in

Email

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Views

7

Published

15. 7. 2026

Edited

5. 8. 2026

Location

Specifications