The Technical Lead, Analytics at Weir Turkey Mineralleri Limited Sirketi will lead the development of machine learning models and code for predictive maintenance solutions in the mining industry. This role is based in Malmö, Sweden, and operates under a hybrid work arrangement, combining technical leadership with close collaboration across data science, engineering, product, and business teams to deliver scalable, high-quality ML systems.
What You'll Do
- Lead the development of fast, scalable, and efficient machine learning models and code that meet hardware constraints and are edge-deployable
- Ensure high-quality, performant ML code is delivered consistently
- Set and uphold engineering standards
- Make architectural decisions around ML infrastructure and deployment
- Own the technical roadmap in partnership with product and data science leads
- Provide informal leadership and mentorship to junior engineers and data scientists
- Act as a key technical voice bridging data science, engineering, product managers, and business stakeholders
- Translate complex ML and engineering concepts into clear, actionable language for non-technical audiences
- Proactively communicate risks, trade-offs, and progress
- Support growth of team members through code reviews, pairing, and constructive feedback
- Foster a culture of quality and continuous learning
- Demonstrate 100% commitment to zero harm behaviors in support of developing a world-class safety culture
What We're Looking For
- Master’s degree or PhD in Computer Science, Engineering, Applied Mathematics, or related field, or equivalent experience
- Proven experience in implementing machine learning algorithms and delivering high-quality software development
- Strong experience with GitHub and CI/CD pipelines, including GitHub Actions
- Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders clearly and persuasively
Nice to Have
- Experience in leading technical projects without direct people management responsibilities
- Background in AI or predictive maintenance within industrial or mining sectors
- Ability to work as a self-starter and manage competing priorities effectively
- Familiarity with edge deployment and scalable ML infrastructure
Technical Stack
- machine learning models
- GitHub
- CI/CD pipelines
- GitHub Actions
- edge deployment
- scalable ML infrastructure
Team & Environment
- Cross-functional team including data science, engineering, product managers, and business stakeholders
Benefits & Compensation
- Competitive pay
- Career development and learning support
- Access to global inclusion networks
- Regional and team-specific benefits
- Sharebuilder scheme
- Wellness support for you and your family
- Collaboration with global teams
- Study support
Work Mode
Hybrid work arrangement with location in Malmö, Sweden
We are an equal opportunity employer and value diversity and inclusion. We celebrate successes, nurture a diverse culture, and are committed to creating an inclusive environment for all employees.
