Senior Machine Learning Engineer (all genders welcome)

Rosenxt is a technology group creating innovative solutions for critical infrastructure in harsh environments. Our Software and AI organization spans teams across the world working on everything from data pipelines to autonomous navigation, to customer portals.

We are investing in AI-assisted development, shared ML infrastructure, and developer tooling as force multipliers for our engineering teams. This role will build and maintain those shared capabilities, the platforms, standards, and tools that let teams across Rosenxt move faster without solving the same problems independently.

This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.

Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value., * Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).

• Standardise how AI agents interact and integrate with our internal tools, services, and development workflows with MCP.
• Build retrieval-augmented generation systems over Rosenxt's internal documentation.
• Define and implement productivity and quality metrics. Run controlled pilots, measure impact, and use data to drive adoption decisions.
• Ensure AI-assisted development tools and ML systems comply with internal governance frameworks and regulation including the EU AI Act. Work within established security and IP protection practices.
• Build and maintain reusable CI/CD templates for ML pipelines.
• Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.
• Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization.

To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation., * Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience.

• Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact.
• Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows.
• Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation).
• Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models.
• Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering.
• Excellent communication skills to convey complex technical topics clearly to diverse stakeholders.
• Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations.
• High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers.
• Resilient, pragmatic approach with evidence-based iteration in emerging technology areas.

• Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character
• Flexible working time, working time accounts and Home Office possible
• An open, informal corporate culture, where we celebrate success with social events
• Depending on the hiring location you may also benefit from local benefits