3 months ago

AI/ML Engineer, London

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design, develop, and optimize AI/ML models for mobile applications; collaborate with product, engineering, and design to deliver data-driven features; build scalable ML pipelines and deploy models in production while staying ahead of AI trends and maintaining high performance on mobile devices.

Location: London

Workplace: Onsite

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop, train, and optimize machine learning models for various mobile app features.
•Research and implement state-of-the-art AI techniques to improve user engagement and app performance.
•Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.
•Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.
•Analyze large datasets to derive insights and drive data-driven decision-making.

Pay and Benefits

Salary: EUR 60,000 - 76,000 annually

Perks:Health InsuranceLife InsuranceAnnual BonusCommuter BenefitsMeal AllowancesPension FundChildcareAir Conference

Key Requirements

•Around 4+ years of experience in AI/ML development, preferably in mobile applications.
•Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
•Experience with deep learning, NLP, computer vision, and statistical modeling.
•Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).
•Experience in deploying and maintaining ML models in production.

Experience:4+ yearsAIMobile appsSoftware

Skills:Problem-solvingCollaborationCommunicationTeamwork

Tech Stack:PythonTensorFlowPyTorchNLPComputer visionCloud computingAWSGoogle CloudAzure

Company Brief

Air Apps

Air Apps is an independent mobile apps studio building AI-powered consumer iOS apps and a subscription bundle (Air Apps One). They publish dozens of utility, productivity, and lifestyle apps with large download volumes and offices in Lisbon and San Francisco.

Industry: Digital Media

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Bootstrapped

Headquarters: San Francisco, United States

Founded: 2018

Glassdoor: 2.0

Website LinkedIn Glassdoor

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Air Apps

3 months ago

AI/ML Engineer, London

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Key Responsibilities

•Develop, train, and optimize machine learning models for various mobile app features.
•Research and implement state-of-the-art AI techniques to improve user engagement and app performance.
•Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.
•Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.
•Analyze large datasets to derive insights and drive data-driven decision-making.

Pay and Benefits

Salary: EUR 60,000 - 76,000 annually

Perks:Health InsuranceLife InsuranceAnnual BonusCommuter BenefitsMeal AllowancesPension FundChildcareAir Conference

Key Requirements

•Around 4+ years of experience in AI/ML development, preferably in mobile applications.
•Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
•Experience with deep learning, NLP, computer vision, and statistical modeling.
•Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).
•Experience in deploying and maintaining ML models in production.

Experience:4+ yearsAIMobile appsSoftware

Skills:Problem-solvingCollaborationCommunicationTeamwork

Tech Stack:PythonTensorFlowPyTorchNLPComputer visionCloud computingAWSGoogle CloudAzure

Company Brief

Air Apps

Industry: Digital Media

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Bootstrapped

Headquarters: San Francisco, United States

Founded: 2018

Glassdoor: 2.0

Website LinkedIn Glassdoor