Artificial Intelligence Machine Learning Engineer (Remote)
Posted 2 days ago by Hire Feed
Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of Artificial Intelligence Machine Learning Engineer involves contributing to the development of advanced AI systems on a contractor basis. The position requires leveraging domain expertise to enhance model performance and reliability across various sectors, including finance, healthcare, and engineering. This remote opportunity allows for collaboration with cross-functional teams to optimize machine learning models and processes. The engineer will play a crucial role in shaping how AI models learn and perform through real-world input.
Key Responsibilities:
- Design, develop, and deploy machine learning models to address complex business and technical challenges in alignment with AI system requirements.
- Collaborate with cross-functional teams to translate domain-specific expertise into structured training data, evaluations, and feedback loops that enhance AI model performance.
- Implement, optimize, and maintain ETL processes to ensure efficient data ingestion, transformation, and management for AI model training.
- Utilize Python and relevant libraries to create clean, efficient, and reusable code for machine learning applications and data pipelines.
- Continuously monitor, evaluate, and improve the accuracy and performance of deployed AI models through rigorous testing and iterative refinement.
Key Skills:
- Proficiency in Python and familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, with experience in model development and deployment.
- Strong understanding of ETL processes, data pipelines, and tools for data ingestion, transformation, and management in AI applications.
- Experience in developing and optimizing machine learning models, including feature engineering, model training, and evaluation.
- Ability to collaborate effectively with technical and non-technical stakeholders to translate domain knowledge into actionable AI inputs.
- Familiarity with data quality assessment, performance monitoring, and iterative improvement of AI models in production environments.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Artificial Intelligence Machine Learning Engineer (Remote)
Location: Remote (Work from Anywhere)
Payout: $30 - $130/hour
Role Overview: We are hiring for one of our clients, seeking an AI/ML Engineer to work on a contractor basis. In this role, you will contribute to the development of next-generation AI systems by leveraging domain expertise to shape how models learn, reason, and perform through high-quality, real-world input. This is a unique opportunity to apply your skills in a dynamic environment that bridges human expertise with advanced AI technologies across domains such as finance, healthcare, and engineering. Your work will directly impact the performance and reliability of AI models used by leading organizations globally.
Key Responsibilities:
- Design, develop, and deploy machine learning models to address complex business and technical challenges in alignment with AI system requirements.
- Collaborate with cross-functional teams to translate domain-specific expertise into structured training data, evaluations, and feedback loops that enhance AI model performance.
- Implement, optimize, and maintain ETL processes to ensure efficient data ingestion, transformation, and management for AI model training.
- Utilize Python and relevant libraries to create clean, efficient, and reusable code for machine learning applications and data pipelines.
- Continuously monitor, evaluate, and improve the accuracy and performance of deployed AI models through rigorous testing and iterative refinement.
Required Skills & Qualifications:
- Proficiency in Python and familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch, with experience in model development and deployment.
- Strong understanding of ETL processes, data pipelines, and tools for data ingestion, transformation, and management in AI applications.
- Experience in developing and optimizing machine learning models, including feature engineering, model training, and evaluation.
- Ability to collaborate effectively with technical and non-technical stakeholders to translate domain knowledge into actionable AI inputs.
- Familiarity with data quality assessment, performance monitoring, and iterative improvement of AI models in production environments.
More About the Opportunity: This role offers a distinctive opportunity to work within a global network of experts contributing to the human intelligence layer for AI. You will engage with cutting-edge reinforcement learning environments and advanced evaluation frameworks, enabling you to directly influence how AI systems evolve. The platform’s AI-powered recruitment system ensures a high-quality, scalable workflow, providing exposure to projects with high societal and industry impact.
Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!