Senior ML Engineer

Datatonic
Stockholm
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Python","Flask","SQL","Cloud","CI/CD","MLOps","Data engineering","Machine learning","Communication"]

Senior Machine Learning Engineer focused on delivering production-ready ML solutions in Python, leading client engagements, and shaping AI-driven data projects on Google Cloud. The role blends hands-on model development with data engineering, MLOps, and architectural design, while prioritizing scalable, high-quality software and clear communication with stakeholders.

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FursaFursa
Datatonic
Datatonic
3 months ago

Senior ML Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 minutes agoStatus: Live

Job Summary

Senior Machine Learning Engineer focused on delivering production-ready ML solutions in Python, leading client engagements, and shaping AI-driven data projects on Google Cloud. The role blends hands-on model development with data engineering, MLOps, and architectural design, while prioritizing scalable, high-quality software and clear communication with stakeholders.
Location: Stockholm
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.
  • •Data Science: Conduct ML experiments using programming languages with machine learning libraries.
  • •GenAI: Leverage generative AI to develop innovative solutions.
  • •Optimisation: Optimise machine learning solutions for performance and scalability.
  • •Custom Code: Implement tailored machine learning code to meet specific needs.

Pay and Benefits

Perks:Paid LeaveHealth InsuranceWellness StipendHome OfficeLearning BudgetPension

Key Requirements

  • •Multiple years of experience as a Machine Learning Engineer, with a preferred consulting background.
  • •Proficiency in Python as a backend language and ability to deliver production-ready code in CI/CD pipelines.
  • •Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
Experience:Machine learningAIData engineeringCloud
Skills:PythonFlaskSQLCloudCI/CDMLOpsData engineeringMachine learningCommunication
Languages:English
Tech Stack:PythonGoogle CloudAWSAzureSQLFlaskCI/CDGPUDistributed computing

Company Brief

Datatonic
Datatonic is a cloud data and AI consultancy that builds data platforms, analytics, MLOps and generative AI solutions for enterprise clients, partnering closely with Google Cloud to deliver data-driven business outcomes.
Industry: Consulting
Company Size: Large (251 to 1,000 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Funding: Private Equity Backed
Headquarters: London, United Kingdom
Founded: 2015
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Glassdoor: 4.0
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