Negotiable
Undetermined
Hybrid
Leeds, England, United Kingdom
Summary: The AI Engineer role based in Leeds, UK, is a contract position requiring over 7 years of experience, particularly in GCP and Agentic AI. Candidates should possess a strong background in computer science or related fields, along with proficiency in Python and machine learning frameworks. The position emphasizes expertise in data processing, algorithms, and familiarity with cloud platforms.
Key Responsibilities:
- Develop and implement AI models and algorithms.
- Utilize machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Process and analyze data using tools like Pandas and NumPy.
- Collaborate with cross-functional teams to integrate AI solutions.
- Maintain knowledge of MLOps practices and tools.
- Work with REST APIs and cloud platforms (AWS, Azure, or GCP).
- Engage in deep learning, NLP, or computer vision projects.
Key Skills:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 7+ years of experience in AI engineering.
- Strong programming skills in Python.
- Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of algorithms, data structures, and software engineering principles.
- Experience with data processing and analysis tools (Pandas, NumPy).
- Familiarity with REST APIs and cloud platforms (AWS, Azure, GCP).
- Experience with deep learning, NLP, or computer vision.
- Knowledge of MLOps practices and tools.
Salary (Rate): undetermined
City: Leeds
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: AI Engineer
Location: Leeds, UK (Hybrid)
Hiring Type: Contract
Role Required: 7+ Years of experience, & GCP/Agentic AI experience
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong programming skills in Python
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of algorithms, data structures, and software engineering principles.
- Experience with data processing and analysis tools (e.g., Pandas, NumPy).
- Familiarity with REST APIs and cloud platforms (AWS, Azure, or GCP).
- Experience with deep learning, NLP, or computer vision.
- Knowledge of MLOps practices and tools