PpWe 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. /p pOur goal is a significant impact on our clients’ business performance, that’s why we: /p ul liWork independently from day one, keeping a “can‑do” mindset /li liBuild and operate scalable data + ML pipelines on large datasets /li liTurn prototypes into production software (clean code, testing, CI/CD, code reviews) /li liShip ML as services/APIs and integrate with existing systems /li liCommunicate clearly and professionally with both technical and non‑technical stakeholders /li liSpeak our clients’ “codes” /li liCollaborate within cohesive, cross‑functional teams combining software and frontend engineering, ML research, data engineering, and product expertise to deliver end‑to‑end solutions /li /ul h3Requirements /h3 ul liDegree in Computer Science, Software Engineering, or Mathematical Engineering preferred; degrees in Mathematics, Physics, Statistics, Data Science, or equivalent practical experience are also welcome. /li liPreferred: candidates with 2+ years of professional software or ML engineering experience /li liStrong software engineering fundamentals: data structures, APIs, debugging, testing QA, version control, and writing maintainable code /li liProduction Python proficiency; experience with SQL for data transformation; experience with R is a plus /li liAnalytical thinking and problem‑solving; pragmatic mindset (trade‑offs, reliability, performance) /li liExperience with one or more of: model deployment, MLOps/CI‑CD, Docker, cloud platforms, orchestration (e.g., Prefect), monitoring/logging, data‑pipeline testing and validation /li liFluency in English /li liThis position requires the candidate to already hold a valid work permit for Italy via EU citizenship and/or a pre‑existing valid visa /li liOpen mind, adaptability, and a can‑do mindset — you’ll stretch beyond previous experience and education /li /ul pDoes this sound like you? We offer: /p ul liChallenging engineering problems with real‑world constraints (latency, cost, reliability, privacy) /li liInformal team in rapid evolution /li liFlexible smart‑working hours /li liAccelerated career with tangible real‑world impact /li liFriendly, meritocratic culture significant bonus potential /li /ul h3To Apply, Please Send /h3 ul liCurriculum in a file called: Name_Surname_CV.pdf /li liCover Letter (optional) in a file called Name_Surname_CL.pdf /li liAcademic credentials /li liLink to LinkedIn profile /li liAnswers to the mandatory context questions /li /ul pApplying 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 /p pU.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. /p /p #J-18808-Ljbffr