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Machine Learning Engineer

Location: Hybrid

Company: Ferritico

Employment type: Full-time

Ferritico is looking for a Machine Learning Engineer to design, develop, deploy, and continuously improve machine learning solutions for advanced materials and steel applications, with a strong focus on production-ready models, data workflows, cloud services, and product integration.

This is a hands-on technical role for someone who enjoys working at the intersection of machine learning, software engineering, data, and industrial product development.

About the role

You will contribute to the development of Ferritico's machine learning models and software platform. The role involves turning industrial and materials data into robust model logic, reliable validation workflows, scalable cloud services, and user-facing product features.

You will work closely with materials engineers, and customers to ensure that machine learning solutions are accurate, maintainable, well-documented, and aligned with real industrial needs.

Key responsibilities

• Manage and organize the aggregation, cleaning, and preparation of materials, process, and property data in collaboration with materials engineers.
• Design and develop machine learning models and appropriate model structures.
• Define model assumptions, evaluation metrics, validation datasets, limitations, and acceptance criteria.
• Validate, benchmark, and continuously improve existing and future machine learning models.
• Develop and maintain cloud-based machine learning services, training workflows, and inference endpoints.
• Monitor production models and troubleshoot performance, reliability, and data-quality issues.
• Integrate new machine learning modules into Ferritico's web application.
• Support customers in running simulations, understanding model outputs, and identifying suitable machine learning solutions for their processes.
• Contribute to testing, technical documentation, code reviews, and engineering decision-making.

What we are looking for

We are looking for someone with a strong background in machine learning, data science, computer science, mathematics, engineering, artificial intelligence, or a related quantitative field.

The ideal candidate has:

• An MSc, PhD, or equivalent practical experience in a quantitative field such as Computer Science, Mathematics, Engineering, Artificial Intelligence, or a related discipline.
• Strong proficiency in Python and experience building clear, maintainable, and well-tested code.
• Practical experience with pandas, scikit-learn, and common workflows for data preparation, model development, evaluation, and deployment.
• Solid understanding of statistical modeling, machine learning methods, validation strategies, and performance metrics.
• A basic understanding of backend and frontend development and how machine learning components integrate into software products.
• Rigorous attention to detail, strong communication skills, and the ability to take ownership of high-quality deliverables in a collaborative team.

Nice to have

Experience with any of the following would be highly valuable:

• Google Cloud Platform, cloud hosting, containerized services, or MLOps workflows.
• Git-based version control, automated testing, continuous integration, and production monitoring.
• Physics-informed machine learning, scientific computing, or models that incorporate domain constraints.
• Materials engineering, metallurgy, steel-industry data, or other industrial engineering applications.
• Customer-facing technical work, SaaS products, web applications, or translating business and process needs into machine learning solutions.

This role could be a strong fit if you

• Have recently completed an MSc or PhD involving machine learning, statistical modeling, artificial intelligence, or scientific computing.
• Have practical experience developing, validating, deploying, or maintaining machine learning models.
• Enjoy combining data science with software engineering and practical product development.
• Are an ambitious and independent learner who takes responsibility for results while collaborating closely with others.
• Are excited about helping shape digital tools for the future of steel and advanced materials.

Why join Ferritico?

At Ferritico, you will join a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. Built on more than 10 years of research at KTH, our SaaS platform helps steel companies accelerate the development, manufacturing, and implementation of advanced alloys.

You will have significant responsibility and autonomy, work with a small multidisciplinary team, and influence both the machine learning foundation and product direction of a platform used in industrial production. We value teamwork, curiosity, technical excellence, and clear communication.

Not sure you meet every requirement?

We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute.

How to apply

Please send your CV and a short note describing your motivation for the role, along with your relevant experience in machine learning, data science, software engineering, or industrial applications, to: contact@ferritico.com (Please include “Machine Learning Engineer” in the email subject line)

Application deadline: 31 July 2026

AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.

AVL fortsätter att växa inom automotive embedded software och söker nu en Automotive Software Engineer – ASW till vårt team i Göteborg.Detta är en roll för dig som trivs med ansvar, varierade tekniska uppgifter och att arbeta i en internationell miljö. Du blir en viktig del av ett växande team och bidrar till utvecklingen av framtidens mjukvarufunktioner för fordon.AVL är en ledande partner inom Electromobility, Vehicle och ADAS/AD inom fordons- och energiindustrin. I Sverige är vi cirka 250 medarbetare, baserade i Göteborg, Haninge, Stockholm och Södertälje. Som ingenjör hos oss arbetar du nära experter både globalt inom AVL och ute hos våra kunder – alltid med teknik i absolut framkant.

Som Automotive Software Engineer arbetar du med utveckling av mjukvara för fordonsfunktioner och elektrifierade system. Du kommer att vara aktiv i hela utvecklingskedjan – från krav och arkitektur till integration och test – och du får arbeta både praktiskt och metodiskt i avancerade utvecklingsprojekt.I rollen kommer du att arbeta nära systemingenjörer och arkitekter för att översätta krav till en robust mjukvaruarkitektur, där du använder modellerings- och designverktyg som stöd i arbetet. Du ansvarar för att designa och utveckla applikationsfunktionalitet och algoritmer, antingen genom att skriva ren och effektiv kod i C eller C++, eller genom modellering och implementering i Simulink. Arbetet innebär också att du deltar i och bidrar till moderna CI/CD miljöer och använder versionshanteringsverktyg som Git, Gerrit, Jenkins och Docker.Du stödjer verifierings- och valideringsaktiviteter genom hela mjukvarans livscykel, vilket inkluderar statisk kodanalys, enhetstestning samt testning i MIL-, SIL- och HIL miljöer. En viktig del av rollen är även att säkerställa stabila byggprocesser och hantera mjukvaruintegration på ett strukturerat sätt. Utöver detta arbetar du tvärfunktionellt och multidisciplinärt enligt MBSE principer och agila arbetssätt. I denna roll arbetar du antingen i våra interna projekt eller på uppdrag ute hos någon av våra kunder.

Vi ser att du är en strukturerad, ansvarstagande och kommunikativ person som trivs med att arbeta i team och uppskattar en flexibel och varierande vardag. Du har lätt att ta initiativ och gillar att utvecklas i takt med projekt och teknik.

• BSc/MSc inom Software, Electrical eller Electronic Engineering
• Minst 3+ års erfarenhet av embedded mjukvaruutveckling inom fordonsindustrin
• Förslag: Erfarenhet av OEM processer inom fordonsindustrin, gärna från svenska aktörer (Erfarenhet från arbete inom svensk fordonsindustri)
• God förståelse för AUTOSAR metodik och verktyg
• Stark programmeringsvana i C och/eller C++
• God förståelse för UML och SysML
• Erfarenhet av Davinci Developer/Configurator och EB tresos
• Flytande engelska i tal och skrift
• B körkort

Meriterande

• Erfarenhet av Functional Safety och ASPICE
• Kunskap om AUTOSAR Basic Software Modules (OS, MemStack, ComStack)
• Språkkunskaper i svenska
• Körkort C/CE

• En kultur där kollegor stöttar varandra och växer tillsammans
• Tydliga möjligheter till professionell och personlig utveckling genom lärande, mentorskap och globalt samarbete
• En internationell och mångkulturell miljö – samarbeta med experter i över 30 länder och fler än 50 tekniska center världen över
• Innovationsdrivna projekt – arbeta med den allra senaste tekniken
• Kollektivavtal, försäkringar och attraktiva förmåner inklusive friskvårdsbidrag

Intresserad?

Med tanke på den kommande semesterperioden kan återkopplingen på din ansökan dröja något och du kan förvänta dig svar i mitten av augusti. Om du tycker att tjänsten låter intressant är du varmt välkommen att skicka in din ansökan redan idag!

Vi ser fram emot din ansökan!

Machine Learning Engineer

Location: Hybrid

Company: Ferritico

Employment type: Full-time

Ferritico is looking for a Machine Learning Engineer to design, develop, deploy, and continuously improve machine learning solutions for advanced materials and steel applications, with a strong focus on production-ready models, data workflows, cloud services, and product integration.

This is a hands-on technical role for someone who enjoys working at the intersection of machine learning, software engineering, data, and industrial product development.

About the role

You will contribute to the development of Ferritico's machine learning models and software platform. The role involves turning industrial and materials data into robust model logic, reliable validation workflows, scalable cloud services, and user-facing product features.

You will work closely with materials engineers, and customers to ensure that machine learning solutions are accurate, maintainable, well-documented, and aligned with real industrial needs.

Key responsibilities

• Manage and organize the aggregation, cleaning, and preparation of materials, process, and property data in collaboration with materials engineers.
• Design and develop machine learning models and appropriate model structures.
• Define model assumptions, evaluation metrics, validation datasets, limitations, and acceptance criteria.
• Validate, benchmark, and continuously improve existing and future machine learning models.
• Develop and maintain cloud-based machine learning services, training workflows, and inference endpoints.
• Monitor production models and troubleshoot performance, reliability, and data-quality issues.
• Integrate new machine learning modules into Ferritico's web application.
• Support customers in running simulations, understanding model outputs, and identifying suitable machine learning solutions for their processes.
• Contribute to testing, technical documentation, code reviews, and engineering decision-making.

What we are looking for

We are looking for someone with a strong background in machine learning, data science, computer science, mathematics, engineering, artificial intelligence, or a related quantitative field.

The ideal candidate has:

• An MSc, PhD, or equivalent practical experience in a quantitative field such as Computer Science, Mathematics, Engineering, Artificial Intelligence, or a related discipline.
• Strong proficiency in Python and experience building clear, maintainable, and well-tested code.
• Practical experience with pandas, scikit-learn, and common workflows for data preparation, model development, evaluation, and deployment.
• Solid understanding of statistical modeling, machine learning methods, validation strategies, and performance metrics.
• A basic understanding of backend and frontend development and how machine learning components integrate into software products.
• Rigorous attention to detail, strong communication skills, and the ability to take ownership of high-quality deliverables in a collaborative team.

Nice to have

Experience with any of the following would be highly valuable:

• Google Cloud Platform, cloud hosting, containerized services, or MLOps workflows.
• Git-based version control, automated testing, continuous integration, and production monitoring.
• Physics-informed machine learning, scientific computing, or models that incorporate domain constraints.
• Materials engineering, metallurgy, steel-industry data, or other industrial engineering applications.
• Customer-facing technical work, SaaS products, web applications, or translating business and process needs into machine learning solutions.

This role could be a strong fit if you

• Have recently completed an MSc or PhD involving machine learning, statistical modeling, artificial intelligence, or scientific computing.
• Have practical experience developing, validating, deploying, or maintaining machine learning models.
• Enjoy combining data science with software engineering and practical product development.
• Are an ambitious and independent learner who takes responsibility for results while collaborating closely with others.
• Are excited about helping shape digital tools for the future of steel and advanced materials.

Why join Ferritico?

At Ferritico, you will join a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. Built on more than 10 years of research at KTH, our SaaS platform helps steel companies accelerate the development, manufacturing, and implementation of advanced alloys.

You will have significant responsibility and autonomy, work with a small multidisciplinary team, and influence both the machine learning foundation and product direction of a platform used in industrial production. We value teamwork, curiosity, technical excellence, and clear communication.

Not sure you meet every requirement?

We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute.

How to apply

Please send your CV and a short note describing your motivation for the role, along with your relevant experience in machine learning, data science, software engineering, or industrial applications, to: contact@ferritico.com (Please include “Machine Learning Engineer” in the email subject line)

Application deadline: 31 July 2026

AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.

AVL fortsätter att växa inom automotive embedded software och söker nu en Automotive Software Engineer – ASW till vårt team i Göteborg.Detta är en roll för dig som trivs med ansvar, varierade tekniska uppgifter och att arbeta i en internationell miljö. Du blir en viktig del av ett växande team och bidrar till utvecklingen av framtidens mjukvarufunktioner för fordon.AVL är en ledande partner inom Electromobility, Vehicle och ADAS/AD inom fordons- och energiindustrin. I Sverige är vi cirka 250 medarbetare, baserade i Göteborg, Haninge, Stockholm och Södertälje. Som ingenjör hos oss arbetar du nära experter både globalt inom AVL och ute hos våra kunder – alltid med teknik i absolut framkant.

Som Automotive Software Engineer arbetar du med utveckling av mjukvara för fordonsfunktioner och elektrifierade system. Du kommer att vara aktiv i hela utvecklingskedjan – från krav och arkitektur till integration och test – och du får arbeta både praktiskt och metodiskt i avancerade utvecklingsprojekt.I rollen kommer du att arbeta nära systemingenjörer och arkitekter för att översätta krav till en robust mjukvaruarkitektur, där du använder modellerings- och designverktyg som stöd i arbetet. Du ansvarar för att designa och utveckla applikationsfunktionalitet och algoritmer, antingen genom att skriva ren och effektiv kod i C eller C++, eller genom modellering och implementering i Simulink. Arbetet innebär också att du deltar i och bidrar till moderna CI/CD miljöer och använder versionshanteringsverktyg som Git, Gerrit, Jenkins och Docker.Du stödjer verifierings- och valideringsaktiviteter genom hela mjukvarans livscykel, vilket inkluderar statisk kodanalys, enhetstestning samt testning i MIL-, SIL- och HIL miljöer. En viktig del av rollen är även att säkerställa stabila byggprocesser och hantera mjukvaruintegration på ett strukturerat sätt. Utöver detta arbetar du tvärfunktionellt och multidisciplinärt enligt MBSE principer och agila arbetssätt. I denna roll arbetar du antingen i våra interna projekt eller på uppdrag ute hos någon av våra kunder.

Vi ser att du är en strukturerad, ansvarstagande och kommunikativ person som trivs med att arbeta i team och uppskattar en flexibel och varierande vardag. Du har lätt att ta initiativ och gillar att utvecklas i takt med projekt och teknik.

• BSc/MSc inom Software, Electrical eller Electronic Engineering
• Minst 3+ års erfarenhet av embedded mjukvaruutveckling inom fordonsindustrin
• Förslag: Erfarenhet av OEM processer inom fordonsindustrin, gärna från svenska aktörer (Erfarenhet från arbete inom svensk fordonsindustri)
• God förståelse för AUTOSAR metodik och verktyg
• Stark programmeringsvana i C och/eller C++
• God förståelse för UML och SysML
• Erfarenhet av Davinci Developer/Configurator och EB tresos
• Flytande engelska i tal och skrift
• B körkort

Meriterande

• Erfarenhet av Functional Safety och ASPICE
• Kunskap om AUTOSAR Basic Software Modules (OS, MemStack, ComStack)
• Språkkunskaper i svenska
• Körkort C/CE

• En kultur där kollegor stöttar varandra och växer tillsammans
• Tydliga möjligheter till professionell och personlig utveckling genom lärande, mentorskap och globalt samarbete
• En internationell och mångkulturell miljö – samarbeta med experter i över 30 länder och fler än 50 tekniska center världen över
• Innovationsdrivna projekt – arbeta med den allra senaste tekniken
• Kollektivavtal, försäkringar och attraktiva förmåner inklusive friskvårdsbidrag

Intresserad?

Med tanke på den kommande semesterperioden kan återkopplingen på din ansökan dröja något och du kan förvänta dig svar i mitten av augusti. Om du tycker att tjänsten låter intressant är du varmt välkommen att skicka in din ansökan redan idag!

Vi ser fram emot din ansökan!

At Qliro we deliver safe and simple payments. We are a dedicated partner to our merchants who serve their customers every day. We believe that if our merchants grow, we grow. We are a company of dedicated, friendly and highly competent people that together have redefined what Qliro and payments can be. We are now on a journey of scaling our business both here in Sweden and the Nordics.

Your team, Web & App, is developing the products where our merchants' consumers can follow their purchases. This self-organized, autonomous team has full ownership for taking features from discovery to operating them in production. The team is fullstack, but spends most of its time developing front end features.

The stack your team is using:

• React Native

• React

• TypeScript

• .NET

• Docker/Docker Swarm

• AWS

• Terraform

• React Native Testing Library/Cypress

• Claude Code

Build and ship features end to end together with your team, from discovery through to running them in production. Write high-quality, well-tested code across the stack, and take part in decisions on how the team designs and maintains its solutions. Use Claude Code and other AI tools as part of your daily workflow to move faster without cutting corners on quality. Help break down tasks and estimate effort together with your teammates and Tech Lead. Make sure your work follows Qliro's guidelines and meets regulatory and security standards. Take part in code reviews, pairing and knowledge-sharing to help raise the bar for the team, and bring your own perspective to technical discussions on architecture and ways of working.

👩‍💻 You are proficient in React/React Native, and comfortable picking up other parts of the stack such as .NET, AWS and Terraform 🚀 You have practical experience working with agile engineering methods, combined with a solid understanding of software engineering best practices 🤖 You're curious about or already experienced with AI-assisted development tools like Claude Code, and want to use them to work smarter 🚦 You have some experience with, or a strong interest in, setting up and maintaining release pipelines for React Native ☁️ Experience with cloud technologies, we use AWS 🆎 Experience with experimentation and A/B testing is a plus

Qliro is an equal opportunity employer. All qualified applicants will be considered for employment without regard to gender, gender identity or expression, national origin, religion or other beliefs, disability, sexual orientation or age.

Machine Learning Engineer

Location: Hybrid

Company: Ferritico

Employment type: Full-time

Ferritico is looking for a Machine Learning Engineer to design, develop, deploy, and continuously improve machine learning solutions for advanced materials and steel applications, with a strong focus on production-ready models, data workflows, cloud services, and product integration.

This is a hands-on technical role for someone who enjoys working at the intersection of machine learning, software engineering, data, and industrial product development.

About the role

You will contribute to the development of Ferritico's machine learning models and software platform. The role involves turning industrial and materials data into robust model logic, reliable validation workflows, scalable cloud services, and user-facing product features.

You will work closely with materials engineers, and customers to ensure that machine learning solutions are accurate, maintainable, well-documented, and aligned with real industrial needs.

Key responsibilities

• Manage and organize the aggregation, cleaning, and preparation of materials, process, and property data in collaboration with materials engineers.
• Design and develop machine learning models and appropriate model structures.
• Define model assumptions, evaluation metrics, validation datasets, limitations, and acceptance criteria.
• Validate, benchmark, and continuously improve existing and future machine learning models.
• Develop and maintain cloud-based machine learning services, training workflows, and inference endpoints.
• Monitor production models and troubleshoot performance, reliability, and data-quality issues.
• Integrate new machine learning modules into Ferritico's web application.
• Support customers in running simulations, understanding model outputs, and identifying suitable machine learning solutions for their processes.
• Contribute to testing, technical documentation, code reviews, and engineering decision-making.

What we are looking for

We are looking for someone with a strong background in machine learning, data science, computer science, mathematics, engineering, artificial intelligence, or a related quantitative field.

The ideal candidate has:

• An MSc, PhD, or equivalent practical experience in a quantitative field such as Computer Science, Mathematics, Engineering, Artificial Intelligence, or a related discipline.
• Strong proficiency in Python and experience building clear, maintainable, and well-tested code.
• Practical experience with pandas, scikit-learn, and common workflows for data preparation, model development, evaluation, and deployment.
• Solid understanding of statistical modeling, machine learning methods, validation strategies, and performance metrics.
• A basic understanding of backend and frontend development and how machine learning components integrate into software products.
• Rigorous attention to detail, strong communication skills, and the ability to take ownership of high-quality deliverables in a collaborative team.

Nice to have

Experience with any of the following would be highly valuable:

• Google Cloud Platform, cloud hosting, containerized services, or MLOps workflows.
• Git-based version control, automated testing, continuous integration, and production monitoring.
• Physics-informed machine learning, scientific computing, or models that incorporate domain constraints.
• Materials engineering, metallurgy, steel-industry data, or other industrial engineering applications.
• Customer-facing technical work, SaaS products, web applications, or translating business and process needs into machine learning solutions.

This role could be a strong fit if you

• Have recently completed an MSc or PhD involving machine learning, statistical modeling, artificial intelligence, or scientific computing.
• Have practical experience developing, validating, deploying, or maintaining machine learning models.
• Enjoy combining data science with software engineering and practical product development.
• Are an ambitious and independent learner who takes responsibility for results while collaborating closely with others.
• Are excited about helping shape digital tools for the future of steel and advanced materials.

Why join Ferritico?

At Ferritico, you will join a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. Built on more than 10 years of research at KTH, our SaaS platform helps steel companies accelerate the development, manufacturing, and implementation of advanced alloys.

You will have significant responsibility and autonomy, work with a small multidisciplinary team, and influence both the machine learning foundation and product direction of a platform used in industrial production. We value teamwork, curiosity, technical excellence, and clear communication.

Not sure you meet every requirement?

We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute.

How to apply

Please send your CV and a short note describing your motivation for the role, along with your relevant experience in machine learning, data science, software engineering, or industrial applications, to: contact@ferritico.com (Please include “Machine Learning Engineer” in the email subject line)

Application deadline: 31 July 2026

Machine Learning Engineer

Location: Hybrid

Company: Ferritico

Employment type: Full-time

Ferritico is looking for a Machine Learning Engineer to design, develop, deploy, and continuously improve machine learning solutions for advanced materials and steel applications, with a strong focus on production-ready models, data workflows, cloud services, and product integration.

This is a hands-on technical role for someone who enjoys working at the intersection of machine learning, software engineering, data, and industrial product development.

About the role

You will contribute to the development of Ferritico's machine learning models and software platform. The role involves turning industrial and materials data into robust model logic, reliable validation workflows, scalable cloud services, and user-facing product features.

You will work closely with materials engineers, and customers to ensure that machine learning solutions are accurate, maintainable, well-documented, and aligned with real industrial needs.

Key responsibilities

• Manage and organize the aggregation, cleaning, and preparation of materials, process, and property data in collaboration with materials engineers.
• Design and develop machine learning models and appropriate model structures.
• Define model assumptions, evaluation metrics, validation datasets, limitations, and acceptance criteria.
• Validate, benchmark, and continuously improve existing and future machine learning models.
• Develop and maintain cloud-based machine learning services, training workflows, and inference endpoints.
• Monitor production models and troubleshoot performance, reliability, and data-quality issues.
• Integrate new machine learning modules into Ferritico's web application.
• Support customers in running simulations, understanding model outputs, and identifying suitable machine learning solutions for their processes.
• Contribute to testing, technical documentation, code reviews, and engineering decision-making.

What we are looking for

We are looking for someone with a strong background in machine learning, data science, computer science, mathematics, engineering, artificial intelligence, or a related quantitative field.

The ideal candidate has:

• An MSc, PhD, or equivalent practical experience in a quantitative field such as Computer Science, Mathematics, Engineering, Artificial Intelligence, or a related discipline.
• Strong proficiency in Python and experience building clear, maintainable, and well-tested code.
• Practical experience with pandas, scikit-learn, and common workflows for data preparation, model development, evaluation, and deployment.
• Solid understanding of statistical modeling, machine learning methods, validation strategies, and performance metrics.
• A basic understanding of backend and frontend development and how machine learning components integrate into software products.
• Rigorous attention to detail, strong communication skills, and the ability to take ownership of high-quality deliverables in a collaborative team.

Nice to have

Experience with any of the following would be highly valuable:

• Google Cloud Platform, cloud hosting, containerized services, or MLOps workflows.
• Git-based version control, automated testing, continuous integration, and production monitoring.
• Physics-informed machine learning, scientific computing, or models that incorporate domain constraints.
• Materials engineering, metallurgy, steel-industry data, or other industrial engineering applications.
• Customer-facing technical work, SaaS products, web applications, or translating business and process needs into machine learning solutions.

This role could be a strong fit if you

• Have recently completed an MSc or PhD involving machine learning, statistical modeling, artificial intelligence, or scientific computing.
• Have practical experience developing, validating, deploying, or maintaining machine learning models.
• Enjoy combining data science with software engineering and practical product development.
• Are an ambitious and independent learner who takes responsibility for results while collaborating closely with others.
• Are excited about helping shape digital tools for the future of steel and advanced materials.

Why join Ferritico?

At Ferritico, you will join a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. Built on more than 10 years of research at KTH, our SaaS platform helps steel companies accelerate the development, manufacturing, and implementation of advanced alloys.

You will have significant responsibility and autonomy, work with a small multidisciplinary team, and influence both the machine learning foundation and product direction of a platform used in industrial production. We value teamwork, curiosity, technical excellence, and clear communication.

Not sure you meet every requirement?

We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute.

How to apply

Please send your CV and a short note describing your motivation for the role, along with your relevant experience in machine learning, data science, software engineering, or industrial applications, to: contact@ferritico.com (Please include “Machine Learning Engineer” in the email subject line)

Application deadline: 31 July 2026

At Qliro we deliver safe and simple payments. We are a dedicated partner to our merchants who serve their customers every day. We believe that if our merchants grow, we grow. We are a company of dedicated, friendly and highly competent people that together have redefined what Qliro and payments can be. We are now on a journey of scaling our business both here in Sweden and the Nordics.

Your team, Web & App, is developing the products where our merchants' consumers can follow their purchases. This self-organized, autonomous team has full ownership for taking features from discovery to operating them in production. The team is fullstack, but spends most of its time developing front end features.

The stack your team is using:

• React Native

• React

• TypeScript

• .NET

• Docker/Docker Swarm

• AWS

• Terraform

• React Native Testing Library/Cypress

• Claude Code

Build and ship features end to end together with your team, from discovery through to running them in production. Write high-quality, well-tested code across the stack, and take part in decisions on how the team designs and maintains its solutions. Use Claude Code and other AI tools as part of your daily workflow to move faster without cutting corners on quality. Help break down tasks and estimate effort together with your teammates and Tech Lead. Make sure your work follows Qliro's guidelines and meets regulatory and security standards. Take part in code reviews, pairing and knowledge-sharing to help raise the bar for the team, and bring your own perspective to technical discussions on architecture and ways of working.

👩‍💻 You are proficient in React/React Native, and comfortable picking up other parts of the stack such as .NET, AWS and Terraform 🚀 You have practical experience working with agile engineering methods, combined with a solid understanding of software engineering best practices 🤖 You're curious about or already experienced with AI-assisted development tools like Claude Code, and want to use them to work smarter 🚦 You have some experience with, or a strong interest in, setting up and maintaining release pipelines for React Native ☁️ Experience with cloud technologies, we use AWS 🆎 Experience with experimentation and A/B testing is a plus

Qliro is an equal opportunity employer. All qualified applicants will be considered for employment without regard to gender, gender identity or expression, national origin, religion or other beliefs, disability, sexual orientation or age.

At Qliro we deliver safe and simple payments. We are a dedicated partner to our merchants who serve their customers every day. We believe that if our merchants grow, we grow. We are a company of dedicated, friendly and highly competent people that together have redefined what Qliro and payments can be. We are now on a journey of scaling our business both here in Sweden and the Nordics.

Your team, Web & App, is developing the products where our merchants' consumers can follow their purchases. This self-organized, autonomous team has full ownership for taking features from discovery to operating them in production. The team is fullstack, but spends most of its time developing front end features.

The stack your team is using:

• React Native

• React

• TypeScript

• .NET

• Docker/Docker Swarm

• AWS

• Terraform

• React Native Testing Library/Cypress

• Claude Code

Build and ship features end to end together with your team, from discovery through to running them in production. Write high-quality, well-tested code across the stack, and take part in decisions on how the team designs and maintains its solutions. Use Claude Code and other AI tools as part of your daily workflow to move faster without cutting corners on quality. Help break down tasks and estimate effort together with your teammates and Tech Lead. Make sure your work follows Qliro's guidelines and meets regulatory and security standards. Take part in code reviews, pairing and knowledge-sharing to help raise the bar for the team, and bring your own perspective to technical discussions on architecture and ways of working.

👩‍💻 You are proficient in React/React Native, and comfortable picking up other parts of the stack such as .NET, AWS and Terraform 🚀 You have practical experience working with agile engineering methods, combined with a solid understanding of software engineering best practices 🤖 You're curious about or already experienced with AI-assisted development tools like Claude Code, and want to use them to work smarter 🚦 You have some experience with, or a strong interest in, setting up and maintaining release pipelines for React Native ☁️ Experience with cloud technologies, we use AWS 🆎 Experience with experimentation and A/B testing is a plus

Qliro is an equal opportunity employer. All qualified applicants will be considered for employment without regard to gender, gender identity or expression, national origin, religion or other beliefs, disability, sexual orientation or age.

Machine Learning Engineer

Location: Hybrid

Company: Ferritico

Employment type: Full-time

Ferritico is looking for a Machine Learning Engineer to design, develop, deploy, and continuously improve machine learning solutions for advanced materials and steel applications, with a strong focus on production-ready models, data workflows, cloud services, and product integration.

This is a hands-on technical role for someone who enjoys working at the intersection of machine learning, software engineering, data, and industrial product development.

About the role

You will contribute to the development of Ferritico's machine learning models and software platform. The role involves turning industrial and materials data into robust model logic, reliable validation workflows, scalable cloud services, and user-facing product features.

You will work closely with materials engineers, and customers to ensure that machine learning solutions are accurate, maintainable, well-documented, and aligned with real industrial needs.

Key responsibilities

• Manage and organize the aggregation, cleaning, and preparation of materials, process, and property data in collaboration with materials engineers.
• Design and develop machine learning models and appropriate model structures.
• Define model assumptions, evaluation metrics, validation datasets, limitations, and acceptance criteria.
• Validate, benchmark, and continuously improve existing and future machine learning models.
• Develop and maintain cloud-based machine learning services, training workflows, and inference endpoints.
• Monitor production models and troubleshoot performance, reliability, and data-quality issues.
• Integrate new machine learning modules into Ferritico's web application.
• Support customers in running simulations, understanding model outputs, and identifying suitable machine learning solutions for their processes.
• Contribute to testing, technical documentation, code reviews, and engineering decision-making.

What we are looking for

We are looking for someone with a strong background in machine learning, data science, computer science, mathematics, engineering, artificial intelligence, or a related quantitative field.

The ideal candidate has:

• An MSc, PhD, or equivalent practical experience in a quantitative field such as Computer Science, Mathematics, Engineering, Artificial Intelligence, or a related discipline.
• Strong proficiency in Python and experience building clear, maintainable, and well-tested code.
• Practical experience with pandas, scikit-learn, and common workflows for data preparation, model development, evaluation, and deployment.
• Solid understanding of statistical modeling, machine learning methods, validation strategies, and performance metrics.
• A basic understanding of backend and frontend development and how machine learning components integrate into software products.
• Rigorous attention to detail, strong communication skills, and the ability to take ownership of high-quality deliverables in a collaborative team.

Nice to have

Experience with any of the following would be highly valuable:

• Google Cloud Platform, cloud hosting, containerized services, or MLOps workflows.
• Git-based version control, automated testing, continuous integration, and production monitoring.
• Physics-informed machine learning, scientific computing, or models that incorporate domain constraints.
• Materials engineering, metallurgy, steel-industry data, or other industrial engineering applications.
• Customer-facing technical work, SaaS products, web applications, or translating business and process needs into machine learning solutions.

This role could be a strong fit if you

• Have recently completed an MSc or PhD involving machine learning, statistical modeling, artificial intelligence, or scientific computing.
• Have practical experience developing, validating, deploying, or maintaining machine learning models.
• Enjoy combining data science with software engineering and practical product development.
• Are an ambitious and independent learner who takes responsibility for results while collaborating closely with others.
• Are excited about helping shape digital tools for the future of steel and advanced materials.

Why join Ferritico?

At Ferritico, you will join a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. Built on more than 10 years of research at KTH, our SaaS platform helps steel companies accelerate the development, manufacturing, and implementation of advanced alloys.

You will have significant responsibility and autonomy, work with a small multidisciplinary team, and influence both the machine learning foundation and product direction of a platform used in industrial production. We value teamwork, curiosity, technical excellence, and clear communication.

Not sure you meet every requirement?

We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute.

How to apply

Please send your CV and a short note describing your motivation for the role, along with your relevant experience in machine learning, data science, software engineering, or industrial applications, to: contact@ferritico.com (Please include “Machine Learning Engineer” in the email subject line)

Application deadline: 31 July 2026