Datatonic

2 months ago

Senior ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours 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

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Datatonic

2 months ago

Senior ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

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

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

Glassdoor: 4.0

Website LinkedIn Glassdoor