

Senior AI Engineer, Contractor, Backend Focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months Rolling | UK Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer (Contractor, Backend Focused) with strong Python, ML, LLMs, and AWS skills, offering £575-700/day for a 6-month rolling contract, fully remote within the UK. Experience with MLOps and large-scale datasets is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
700
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🗓️ - Date discovered
September 2, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Observability #Python #TensorFlow #SageMaker #MLflow #Automation #Data Science #Cloud #ML (Machine Learning) #R #AWS (Amazon Web Services) #NLP (Natural Language Processing) #PyTorch #Distributed Computing #Scala #Docker #Regression #Kubernetes #Azure #Classification #Datasets #Spark (Apache Spark) #Airflow
Role description
Senior AI Engineer, Contractor, Backend focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months rolling | UK remote
Opportunity:
We’re supporting an industry leading business. This role will give you the platform to build AI solutions that will impact customers on every inch of the globe, but the autonomy of working start-up environment. As you’ll be working in a sub-unit separate from the red tape of a larger organisation.
They are looking for an Senior AI Engineer with strong experience with python, as well as AI (Gen AI, LLMs, RAG). This will be a UK remote role, giving you freedom while you build scalable, production-ready ML systems using cutting-edge ML research.
What You’ll Be Doing as a Senior AI Engineer, Contractor, Backend focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months rolling | UK remote
• Design, build, and evolve scalable backend systems and APIs that power machine learning applications in addition to ML models including classification, regression, recommendation systems, and NLP.
• Optimize model performance while ensuring scalability, robustness, and reliability in production.
• Contribute to the design of ML system architecture and data platforms.
• Design, implement, and maintain reliable ML pipelines and services, leveraging modern engineering practices such as CI/CD, testing, and observability.
• Apply machine learning techniques to complex, real-world challenges in scientific and R&D settings, including experimentation, simulation, and laboratory automation.
• Mentor and support junior engineers and data scientists, and actively participate in technical design reviews.
Core Skills for the Senior AI Engineer, Contractor, Backend focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months rolling | UK remote
• Strong proficiency in Python, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Familiarity with MLOps principles and tools (e.g., MLflow, SageMaker, Airflow).
• Background in handling large-scale datasets and working with distributed computing frameworks (e.g., Spark)
• Solid understanding of machine learning algorithms, statistical modeling, and data structures, with an emphasis on practical application and performance considerations.
• Experience working with cloud platforms (e.g., AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Familiarity with MLOps principles and tools (e.g., MLflow, SageMaker, Airflow).
Senior AI Engineer, Contractor, Backend focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months rolling | UK remote
• Location: UK Remote
• Type: Contract, full-time
• Rate: Up to £700/day
• Start: ASAP
Senior AI Engineer, Contractor, Backend focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months rolling | UK remote
Opportunity:
We’re supporting an industry leading business. This role will give you the platform to build AI solutions that will impact customers on every inch of the globe, but the autonomy of working start-up environment. As you’ll be working in a sub-unit separate from the red tape of a larger organisation.
They are looking for an Senior AI Engineer with strong experience with python, as well as AI (Gen AI, LLMs, RAG). This will be a UK remote role, giving you freedom while you build scalable, production-ready ML systems using cutting-edge ML research.
What You’ll Be Doing as a Senior AI Engineer, Contractor, Backend focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months rolling | UK remote
• Design, build, and evolve scalable backend systems and APIs that power machine learning applications in addition to ML models including classification, regression, recommendation systems, and NLP.
• Optimize model performance while ensuring scalability, robustness, and reliability in production.
• Contribute to the design of ML system architecture and data platforms.
• Design, implement, and maintain reliable ML pipelines and services, leveraging modern engineering practices such as CI/CD, testing, and observability.
• Apply machine learning techniques to complex, real-world challenges in scientific and R&D settings, including experimentation, simulation, and laboratory automation.
• Mentor and support junior engineers and data scientists, and actively participate in technical design reviews.
Core Skills for the Senior AI Engineer, Contractor, Backend focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months rolling | UK remote
• Strong proficiency in Python, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Familiarity with MLOps principles and tools (e.g., MLflow, SageMaker, Airflow).
• Background in handling large-scale datasets and working with distributed computing frameworks (e.g., Spark)
• Solid understanding of machine learning algorithms, statistical modeling, and data structures, with an emphasis on practical application and performance considerations.
• Experience working with cloud platforms (e.g., AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Familiarity with MLOps principles and tools (e.g., MLflow, SageMaker, Airflow).
Senior AI Engineer, Contractor, Backend focused | Python, ML, LLMs, AWS | Industry Leading Business | Rate £575-700/day (Outside) | 6-months rolling | UK remote
• Location: UK Remote
• Type: Contract, full-time
• Rate: Up to £700/day
• Start: ASAP