

AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with 8–10 years of experience, focusing on AI model development and multi-cloud technologies (GCP required). The 12-month contract is hybrid in London, offering a pay rate of "X" per hour.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
-
🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Cloud #Deployment #Security #Scala #Compliance #GCP (Google Cloud Platform) #ML (Machine Learning) #AI (Artificial Intelligence) #Deep Learning #Python #TensorFlow #Data Privacy #PyTorch
Role description
Job Title: AI Engineer
Work Location: London, UK (Hybrid – 3 days/week onsite)
Contract Duration: 12 months
Job Overview:
We are seeking an experienced AI Engineer / Machine Learning Engineer / Privacy Engineer to join our team in London. This role requires strong expertise in AI model development, deep learning frameworks, and multi-cloud technologies (GCP mandatory). You will be responsible for designing, testing, and deploying AI/ML models, while ensuring robustness, privacy, and scalability.
Key Responsibilities:
• Design, build, and deploy AI/ML models and applications.
• Conduct adversarial testing and robustness evaluation of AI models.
• Work with multi-cloud environments; GCP expertise is mandatory.
• Collaborate with stakeholders to explain complex AI, ML, and privacy concepts clearly.
• Mentor and lead teams in model training and deployment.
• Ensure compliance with data privacy, security, and governance practices.
Must-Have Skills:
• 8–10 years of relevant experience in AI, Machine Learning, or Privacy Engineering.
• Proficiency in deep learning frameworks – TensorFlow, PyTorch, JAX.
• Hands-on experience in AI model development, end-to-end ML pipelines, and deployment.
• Strong analytical and communication skills.
• Proficiency in Python (added advantage).
• Proven ability to lead and train teams on AI/ML best practices.
Why Join Us?
• Work on cutting-edge AI/ML projects in a global environment.
• Opportunity to shape AI innovation and lead technical teams.
• Hybrid working model – 3 days onsite in London.
📍 Location: London, UK | Mode: Hybrid (3 days onsite) | Duration: 12 months
#AIEngineer #MachineLearning #PrivacyEngineer #AIML #DeepLearning #TensorFlow #PyTorch #JAX #Python #MultiCloud #GCP #CloudAI #AIJobsLondon #HybridJobs #ContractJobs #ArtificialIntelligence #AIEngineerLondon
Job Title: AI Engineer
Work Location: London, UK (Hybrid – 3 days/week onsite)
Contract Duration: 12 months
Job Overview:
We are seeking an experienced AI Engineer / Machine Learning Engineer / Privacy Engineer to join our team in London. This role requires strong expertise in AI model development, deep learning frameworks, and multi-cloud technologies (GCP mandatory). You will be responsible for designing, testing, and deploying AI/ML models, while ensuring robustness, privacy, and scalability.
Key Responsibilities:
• Design, build, and deploy AI/ML models and applications.
• Conduct adversarial testing and robustness evaluation of AI models.
• Work with multi-cloud environments; GCP expertise is mandatory.
• Collaborate with stakeholders to explain complex AI, ML, and privacy concepts clearly.
• Mentor and lead teams in model training and deployment.
• Ensure compliance with data privacy, security, and governance practices.
Must-Have Skills:
• 8–10 years of relevant experience in AI, Machine Learning, or Privacy Engineering.
• Proficiency in deep learning frameworks – TensorFlow, PyTorch, JAX.
• Hands-on experience in AI model development, end-to-end ML pipelines, and deployment.
• Strong analytical and communication skills.
• Proficiency in Python (added advantage).
• Proven ability to lead and train teams on AI/ML best practices.
Why Join Us?
• Work on cutting-edge AI/ML projects in a global environment.
• Opportunity to shape AI innovation and lead technical teams.
• Hybrid working model – 3 days onsite in London.
📍 Location: London, UK | Mode: Hybrid (3 days onsite) | Duration: 12 months
#AIEngineer #MachineLearning #PrivacyEngineer #AIML #DeepLearning #TensorFlow #PyTorch #JAX #Python #MultiCloud #GCP #CloudAI #AIJobsLondon #HybridJobs #ContractJobs #ArtificialIntelligence #AIEngineerLondon