# Senior ML Engineer at Nexthink

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and implement scalable AI product

- **Company:** Nexthink (https://jobs.trythestack.co/companies/nexthink)
- **Location:** Lausanne, Switzerland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Machine learning, LLM, LangChain, PyTorch, AWS, MLOps, Reinforcement learning, RAG, Multi-agent AI architectures, CI/CD, Feature stores, Model fine-tuning, Data intuition, Mentorship
- **Posted by employer:** 2026-04-24
- **Added to The Stack:** 2026-04-25
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.smartrecruiters.com/Nexthink/744000122708650-senior-ml-engineer- (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-ml-engineer-nexthink

## About the role

Responsibilities:
- Design and implement scalable AI products with a focus on agentic systems and LLM integration.
- Define evaluation frameworks and success metrics for LLMs and multi-agent behaviours.
- Build and operate MLOps pipelines: training, fine-tuning, validation, deployment, monitoring and rollback.
- Implement reproducible CI/CD for models, prompts and embedding configs; integrate feature stores and automated evaluations.
- Collaborate closely with software engineers, data scientists and product to translate business needs into robust AI features.
- Mentor and coach junior engineers; drive knowledge sharing and best practices across the team.
- Troubleshoot model quality regressions by inspecting logs, designing metrics and iterating on data and model changes.

Requirements:
- BSc/MSc in Computer Science, ML, Data Science or related discipline.
- 5+ years building LLM-powered production applications and agentic systems.
- Strong Python skills and hands-on experience with frameworks like LangChain and PyTorch.
- Proven experience deploying cloud-based AI on AWS and operating models in production.
- Familiarity with RL, RAG, multi-agent architectures and model fine-tuning techniques.
- Practical MLOps knowledge: reproducible pipelines, feature stores, CI/CD, monitoring and automated evaluations.
- Strong data intuition, problem-solving, and clear communication for technical and non-technical stakeholders.

## Responsibilities

You will lead the design and deployment of scalable AI-powered products, with a specific focus on agentic systems and LLM integration. Additionally, you will implement MLOps practices and mentor junior engineers to foster a culture of technical excellence.

## Requirements

Candidates must hold a degree in Computer Science or a related field and possess at least 5 years of hands-on experience with LLM-powered production applications. Proficiency in Python, AI frameworks, and cloud-based deployments is essential, along with strong communication skills.

## FAQ

- **Is this Senior ML Engineer role still open?** It was posted on 2026-04-24. Listings more than 30 days old may no longer be active, so check Nexthink's site before applying.
- **Does Nexthink offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Nexthink's site.
- **Where is this role located?** The listing gives the location as Lausanne, Switzerland. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Machine learning, LLM, LangChain, PyTorch, AWS, MLOps, Reinforcement learning, RAG, Multi-agent AI architectures, CI/CD, Feature stores, Model fine-tuning, Data intuition, Mentorship.

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