Senior AI/ML Engineer

Senior AI/ML Engineer

At ASSA ABLOY, you’ll be a dedicated expert focused on AI and Machine Learning initiatives. You’ll combine hands-on engineering with technical influence: building AI-powered product features, enabling developers to work more effectively with AI, and helping colleagues build the knowledge and practices to use it well.

Why this role matters

AI is opening up new possibilities for our products and the way we engineer them. You’ll play a key role in turning that potential into real solutions, helping us build AI capabilities that deliver value today and scale for the future.

You’ll sit at the intersection of AI/ML, software engineering and product development, working with an international team to turn modern AI technologies into reliable solutions for a global business in access and security.

The role

This is a hands-on senior role with a broad sphere of influence. You’ll design, build and deploy AI/ML solutions while helping shape how AI is adopted across the organisation.

With the freedom to take ownership, you’ll help shape our technical approach to AI, influence best practices and contribute to an emerging capability with significant room to grow.

What you’ll work on

• Design and implement AI/ML features for our products, turning models and ideas into practical production solutions.
• Select, fine-tune and integrate LLMs, classical ML models and hybrid approaches into software systems.
• Build and maintain AI agents and agent-based workflows for code generation and refactoring, test creation, code reviews and static analysis.
• Introduce AI tools and engineering workflows that improve developer productivity, code quality and ways of working.
• Help establish and continuously improve AI best practices, governance and responsible AI, with a focus on security, reliability, scalability and cost.
• Act as an AI advocate and mentor, sharing expertise and helping colleagues and teams build confidence with modern AI technologies.

What will help you succeed

• 5+ years of experience in software engineering, with a solid understanding of Machine Learning fundamentals, including training, evaluation and deployment.
• Hands-on experience with Artificial Intelligence, Data Science, LLMs, AI APIs and AI agents, and an interest in applying modern AI technologies to real-world problems.
• Strong programming experience in Python, Java, Go or similar, with the ability to integrate AI/ML solutions into production software systems.
• Experience with cloud platforms and MLOps, including areas such as deployment, monitoring, reliability and cost management.
• Experience working with data pipelines, feature stores and large-scale data or Big Data environments, together with an understanding of how data supports AI/ML solutions.
• A collaborative, self-directed and curious mindset, with the confidence to work independently, share knowledge, mentor colleagues and help teams adopt better AI practices in an international environment.

Nice to have: Experience with multi-agent or tool-using AI systems, or knowledge of security technologies such as cryptography, Secure Elements, secure access control, identification, authentication and PKI.

Why ASSA ABLOY

You’ll have the freedom to shape an emerging area while working with people who value initiative, knowledge-sharing and continuous improvement. Your work can influence both the products we build and how our engineering organisation works with AI.

• Meaningful mission — Apply AI within products and technologies that help create safer, more secure access for people around the world.
• Innovation & scale — Work with modern AI technologies, from LLMs and AI agents to Machine Learning and large-scale data solutions, and help bring them into real-world use.
• Autonomy & trust — Take ownership of AI initiatives, influence technical direction and work through expertise rather than hierarchy.
• Growth & development — Build your mentoring and technical influence while helping shape our AI capabilities from an early stage, with access to training and broader learning opportunities.
• Work–life balance — Work in an international, collaborative environment that values sustainable performance, learning and a Scandinavian approach to working together.

Ready to shape how we use AI?

If you’re excited by the opportunity to combine deep AI expertise with real software engineering, product impact and organisational influence, this is a chance to help define what comes next.

Apply today and help us create a safer and more open world.

We review applications continuously and will be moving forward with suitable candidates throughout the process. Just set up your profile and apply here. To make sure your personal data is safe, we don't review applications sent by email or post. If you have any questions about the role or the process, please contact Léa Rein, Senior Talent Acquisition Business Partner at lea.rein@assaabloy.com

Depending on the risk profile for the role, a background screening may need to be performed. Final candidates may therefore be subject to a background screening. The performance of a background check is subject to consent and based on our Applicant Privacy Notice.

We are the ASSA ABLOY Group
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access. 

As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.

As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

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