Artificial Intelligence Engineer

Artificial Intelligence Engineer

Posted 2 weeks ago by Insight International (UK) Ltd

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

Detailed Description From Employer:

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