Negotiable
Inside
Hybrid
Leeds, England, United Kingdom
Summary: The role of Artificial Intelligence Engineer involves working in a hybrid environment in Leeds, UK, focusing on AI/ML engineering with a requirement of over 5 years of experience. The position is contract-based and classified as inside IR35. Candidates should possess strong programming skills and hands-on experience with machine learning frameworks.
Key Responsibilities:
- Develop and implement AI/ML models and algorithms.
- Utilize programming skills in Python, Java, or C++ for engineering tasks.
- Work with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Deploy models into production environments.
- Collaborate with teams to integrate REST APIs and microservices architecture.
- Manage data using SQL/NoSQL databases and data processing tools.
Key Skills:
- 5+ years of experience in AI/ML engineering or related roles.
- Strong programming skills in Python (preferred), Java, or C++.
- Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of machine learning algorithms, statistics, and data structures.
- Experience with SQL/NoSQL databases and data processing tools.
- Knowledge of REST APIs and microservices architecture.
Salary (Rate): undetermined
City: Leeds
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
JOB OVERVIEW
Title : Artificial Intelligence Engineer / AI Engineer
Location : Leeds, UK
Mode : Hybrid – 2 days Onsite
Employment Type : Contract (Inside IR35)
Experience Level : 5+ Years
Rate : Best to discuss on call
Required Skills & Experience
- 5+ years of experience in AI/ML engineering or related roles
- Strong programming skills in Python (preferred), or Java/C++
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Solid understanding of machine learning algorithms, statistics, and data structures
- Experience with SQL/NoSQL databases and data processing tools
- Knowledge of REST APIs and microservices architecture
- Experience deploying models into production environments