We are looking for a passionate Machine Learning Engineer to join our team, building production-grade ML systems end to end: from data pipelines and model training to deployment, monitoring, and continuous improvement. You’ll work at the intersection of software engineering and applied ML, translating business needs into reliable, maintainable services that deliver measurable impact for our clients.
Our goal is a significant impact on our clients’ business performance, that’s why we:
- Work independently from day one, keeping a “can-do” mindset
- Build and operate scalable data + ML pipelines on large datasets
- Turn prototypes into production software (clean code, testing, CI/CD, code reviews)
- Ship ML as services/APIs and integrate with existing systems
- Communicate clearly and professionally with both technical and non-technical stakeholders
- Speak our clients’ “codes”
- Collaborate within cohesive, cross-functional teams combining software and frontend engineering, ML research, data engineering, and product expertise to deliver end-to-end solutions
Requirements
- Degree in Computer Science, Software Engineering, or Mathematical Engineering preferred; degrees in Mathematics, Physics, Statistics, Data Science, or equivalent practical experience are also welcome.
- Preferred: candidates with 2+ years of professional software or ML engineering experience
- Strong software engineering fundamentals: data structures, APIs, debugging, testing & QA, version control, and writing maintainable code
- Production Python proficiency; experience with SQL for data transformation; experience with R is a plus
- Analytical thinking and problem-solving; pragmatic mindset (trade-offs, reliability, performance)
- Experience with one or more of: model deployment, MLOps/CI-CD, Docker, cloud platforms, orchestration (e.g., Prefect), monitoring/logging, data-pipeline testing and validation
- Fluency in English
- This position requires the candidate to already hold a valid work permit for Italy via EU citizenship and/or a pre-existing valid visa
- Open mind, adaptability, and a can-do mindset — you’ll stretch beyond previous experience and education
Does this sound like you? We offer:
- Challenging engineering problems with real-world constraints (latency, cost, reliability, privacy)
- Informal team in rapid evolution
- Flexible smart-working hours
- Accelerated career with tangible real-world impact
- Friendly, meritocratic culture & significant bonus potential
To apply, please send:
- Curriculum in a file called: Name_Surname_CV.pdf
- Cover Letter (optional) in a file called Name_Surname_CL.pdf
- Academic credentials
- Link to LinkedIn profile
- Answers to the mandatory context questions
Applying to this job the candidate consents that his/her data are treated by ToolsGroup in compliance with the GDPR n. 2016/679 GDPR and Transparency Document
U.S. applicant notice: This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. ToolsGroup is CCPA/CPRA compliant.
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