Senior Machine Learning Engineer

Stedings Consulting AB; Malmö kommun; On-site; SEK 900,000 - 1,100,000; Full time

Benefits offered by this job

Comprehensive benefits package

Occupational pension plan (Unionen)

Job summary

Stedings Consulting AB in Malmö seeks an experienced Machine Learning Engineer to turn complex data into reliable, production-ready solutions at scale. You will design, develop and deploy ML models, integrate them into production systems and collaborate with international teams.

The role combines data science with software engineering across NLP, LLMs and geospatial data, requiring hands-on experience and a drive to improve data quality and system reliability.

Qualifications

• Extensive professional experience developing software in Python.
• Proven experience in machine learning and data science.
• Strong knowledge of ML algorithms (SVM, Random Forest, Naive Bayes, k-NN).
• Hands-on with LLMs, prompt engineering and agent-based workflows.
• Experience taking ML solutions from experimentation to production.

Responsibilities

• Design, develop, evaluate and deploy machine learning models.
• Apply ML, NLP and statistical methods to improve data quality.
• Develop solutions for classification, clustering, feature engineering and anomaly detection.
• Work with LLMs and agent-based workflows.
• Build scalable data pipelines and robust software components.
• Integrate models into existing production systems.
• Analyse large datasets to identify patterns and quality issues.
• Own features and improvements from idea to production deployment.
• Collaborate with cross-functional and international teams.

Skills

Python programming

ML & data science

NLP basics

LLMs / prompt engineering

Scala/Java experience

Statistics / predictive modeling

Geospatial data experience

Tools

PyTorch

TensorFlow

Keras

Scikit-learn

NumPy

Pandas

Job description

Are you an experienced Machine Learning Engineer who combines strong data science expertise with solid software engineering skills? Do you enjoy turning complex and unstructured data into reliable, production-ready solutions at scale?

We are looking for a highly skilled Machine Learning Engineer for an assignment within an international technology environment in Malmö. You will help improve the quality of large-scale geospatial datasets by developing machine learning, NLP and data-analysis solutions.

This is not a research-only role. You will take ownership across the full lifecycle—from exploration and modelling to integration, productionisation and deployment.

The assignment

You will design and build machine learning systems that extract structured information, identify anomalies and measure data quality across large and complex datasets. Working closely with software engineers, data specialists and international stakeholders, you will ensure that models create measurable value in production.

You are expected to understand the wider technical landscape, challenge existing approaches and continuously ask: “Can we do this better?”

Your responsibilities

• Design, develop, evaluate and deploy machine learning models.
• Apply classical machine learning, NLP and statistical methods to improve data quality.
• Develop solutions for classification, clustering, feature engineering and anomaly detection.
• Work with LLMs, prompting techniques and agent-based workflows.
• Build scalable data pipelines and robust software components.
• Integrate models into existing production systems.
• Analyse large datasets to identify patterns, quality issues and improvement opportunities.
• Own features and improvements from initial idea through production deployment.
• Measure results and continuously improve model performance, reliability and efficiency.
• Collaborate with cross-functional and internationally distributed teams.

We believe you have

• Extensive professional experience developing software in Python.
• Proven experience in machine learning and data science.
• Strong knowledge of classical ML algorithms such as SVM, Random Forest, Naive Bayes and k-NN.
• Practical experience with classification, clustering, anomaly detection, neural networks and feature engineering.
• Hands-on experience working with LLMs, prompt engineering and agent-based workflows.
• Experience with relevant frameworks and libraries, such as PyTorch, TensorFlow, Keras, Scikit-learn, NumPy and Pandas.
• Experience taking ML solutions from experimentation into scalable production environments.
• Strong analytical and problem-solving abilities.
• Excellent written and spoken English.
• Professional experience with Scala or Java.
• Experience within NLP, information retrieval or data mining.
• Experience with statistical modelling and predictive models.
• Experience working with large-scale or geospatial datasets.

Who you are

You are curious, proactive and driven by the ambition to create tangible improvements. You combine creativity with practical delivery and know how to build effective solutions within existing systems and constraints.

You take ownership, work efficiently and can clearly explain the reasoning behind your technical decisions. You should also be able to provide concrete examples of solutions you have personally developed, improved and brought into production.

Practical information

International collaboration: You must be available for digital meetings with colleagues in the United States during evening hours approximately two days per week

What we offer

Join a rapidly growing, high-tech company characterized by strong team spirit and ample room for individual growth. Stedings Consulting AB is characterized by dynamic, relaxed corporate culture driven by motivated and committed employees. Here, you will work alongside a small team of wonderful, highly knowledgeable colleagues in an environment where collaboration thrives and open communication is encouraged.

We possess an extensive network and broad experience across various companies and industries, offering you unique opportunities for professional development. We strive to match you with consulting assignments that align as closely as possible with your preferences and goals. Our assignments vary across different client projects, so if you enjoy variety, you will feel right at home with us.

Stedings Consulting AB offers all employees a comprehensive benefits package that is continuously being improved.

All employees are covered by a collective agreement and an advantageous occupational pension plan through Unionen.