Negotiable
Undetermined
Remote
United Kingdom
Summary: The Applied AI Engineer role involves designing, developing, and deploying machine learning models to solve real-world business challenges. The position requires collaboration with cross-functional teams to integrate AI solutions and optimize models for operational environments. Strong proficiency in Python and experience with machine learning frameworks are essential for success in this remote role. The commitment ranges from 10 to 40 hours per week, offering flexibility in work hours.
Key Responsibilities:
- Design, develop, and deploy machine learning models to address real-world business problems.
- Collaborate with cross-functional teams to identify opportunities for AI integration and innovation.
- Preprocess, analyze, and interpret complex datasets using Python and related data tools.
- Develop APIs and data pipelines to integrate machine learning models into production systems.
- Optimize models for scalability, performance, and reliability in operational environments.
- Document technical workflows, methodologies, and results clearly for internal teams.
- Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
Key Skills:
- Strong proficiency in Python for data processing, automation, and machine learning development.
- Hands-on experience with machine learning frameworks and model development workflows.
- Experience working with JSON data structures and API integrations.
- Ability to translate business requirements into deployable AI solutions.
- Strong written and verbal communication skills with attention to clarity and collaboration.
- Familiarity with version control systems and collaborative development tools.
- Self-motivated and comfortable working in a fast-paced remote environment.
Salary (Rate): £80.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: Applied AI Engineer
Type: Hourly contract
Compensation: $30-$80/hr
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
- Design, develop, and deploy machine learning models to address real-world business problems.
- Collaborate with cross-functional teams to identify opportunities for AI integration and innovation.
- Preprocess, analyze, and interpret complex datasets using Python and related data tools.
- Develop APIs and data pipelines to integrate machine learning models into production systems.
- Optimize models for scalability, performance, and reliability in operational environments.
- Document technical workflows, methodologies, and results clearly for internal teams.
- Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
Requirements
- Strong proficiency in Python for data processing, automation, and machine learning development.
- Hands-on experience with machine learning frameworks and model development workflows.
- Experience working with JSON data structures and API integrations.
- Ability to translate business requirements into deployable AI solutions.
- Strong written and verbal communication skills with attention to clarity and collaboration.
- Familiarity with version control systems and collaborative development tools.
- Self-motivated and comfortable working in a fast-paced remote environment.
Application Process (Takes 20 Min)
- Upload resume
- Interview (15 min)
- Submit form