# Senior Machine Learning Engineer (Spain) at RemoteStar

> 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.

> At RemoteStar, we're currently hiring for one of our client

- **Company:** RemoteStar (https://jobs.trythestack.co/companies/remotestar)
- **Location:** United Kingdom of Great Britain and Northern Ireland
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Not stated
- **Key skills:** Machine Learning, Natural Language Processing, Computer Vision, Mathematical Optimization, Project Management, Software Engineering, Data Science, Python, Docker, Git, Agile Development, Leadership, Communication, Interpersonal Skills, Organizational Skills, Time Management
- **Posted by employer:** 2026-03-18
- **Added to The Stack:** 2026-03-30
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://remotestar-team.freshteam.com/jobs/veskMkOo6euK/machine-learning-manager-spain (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-engineer-spain-remotestar

## About the role

At RemoteStar, we're currently hiring for one of our client based in Spain. 9-month fixed-term contract | Hybrid (3 days/week onsite) | Location: Barcelona or Madrid About client : Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. They provide hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. Their main products, Singularity and CompactifAI, address critical needs across various industries. Required Qualifications * Master’s, or Ph.D. in Computer Science, AI, Data Science, Physics, Math, or a related field. Or equivalent industry experience. * 4+ years of experience in data science, machine learning, or related roles, with demonstrated experience with NLP or LLMs. * In-depth knowledge of large foundational model architectures (language and multimodal models) and their lifecycle: training, fine-tuning, alignment, and evaluation. * Proficient in Python and data tooling ecosystems (Pandas, NumPy, Hugging Face Datasets & Transformers libraries). * Hands-on experience with text data collection from diverse sources: web scraping, APIs, proprietary corpora, etc. * Strong understanding of data quality metrics including bias detection, toxicity, and readability. * Experience working in large shared distributed computing environments, familiarity with relevant tools for hardware optimization (vLLM, TensorRT, NeMo, etc.). * Experience with version control (git), unit testing, and other fundamental aspects of software development. * Effective communication and interpersonal abilities. Preferred Qualifications * Experience building or contributing to datasets used in LLM pretraining or supervised fine-tuning. * Experience building foundational LLMs from the ground up * Familiarity with alignment techniques (e.g., reinforcement learning, preference modeling, reward modeling). * Exposure to multilingual and low-resource language datasets. * Contributions to open-source datasets, tools, or publications in dataset-centric research. * Knowledge of ethical AI, data governance, privacy laws (e.g., GDPR), and responsible data use. * Familiarity with the software development lifecycle and agile methodologies As a Senior LLM Engineer, you will * Design and implement strategies for creating, sourcing, and augmenting datasets tailored for LLM training and fine-tuning. * Develop scalable pipelines to collect, clean, filter, annotate, and validate large volumes of text data, ensuring quality, ethical compliance, etc. * Collaborate with ML engineers, researchers, and software engineers to achieve ambitious goals in the preparation of LLMs and complementary work (preparing datasets, model evaluation, model serving, etc.). * Develop and integrate new routines for modifying and enhancing LLMs, and extending their functionality. * Make effective use of distributed compute resources and clusters (GPU’s), identify opportunities for further optimization. * End-to-end preparation of compressed and specialized LLMs for use in production. * Keep up to date with research trends in LLM foundation models, dataset curation, LLM pretraining data, and benchmarking. * Contribute to building documentation, development standards, and a healthy shared code base. * Mentor other engineers and provide knowledge sharing of cutting-edge techniques. We offer * Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion. * Relocation package (if applicable). * Up to 9-month contract, ending on June 2026. * Hybrid role and flexible working hours. * Be part of a fast-scaling Series B company at the forefront of deep tech. * Equal pay guaranteed. * International exposure in a multicultural, cutting-edge environment.

## Responsibilities

Lead an international team of engineers to develop cutting-edge solutions for top-tier clients while managing technical projects from initiation to completion. Foster clear communication with stakeholders and contribute to the tech strategy by providing insights.

## Requirements

Candidates must have a Master's degree in a relevant field and at least 4 years of experience in software engineering or data science, including 1 year in project management. A strong understanding of AI technologies and proficiency in Python, Docker, and Git are essential.

## FAQ

- **Is this Senior Machine Learning Engineer (Spain) role still open?** It was posted on 2026-03-18. Listings more than 30 days old may no longer be active, so check RemoteStar's site before applying.
- **Where is this role located?** The listing gives the location as United Kingdom of Great Britain and Northern Ireland. It is marked remote.
- **What skills does this role ask for?** The listing names: Machine Learning, Natural Language Processing, Computer Vision, Mathematical Optimization, Project Management, Software Engineering, Data Science, Python, Docker, Git, Agile Development, Leadership, Communication, Interpersonal Skills, Organizational Skills, Time Management.

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