Mid-Level AI Engineer

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
Not specified
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python TensorFlow PyTorch Scikit-Learn Machine Learning Cloud Computing Data Processing Deep Learning

FULL DESCRIPTION

Mid-Level AI Engineer

[Employer hidden — sign up to reveal] is hiring a Mid-Level AI Engineer to develop and deploy AI solutions. This is a full-time, remote role.

Job Description

As a Mid-Level AI Engineer, you will be responsible for developing, implementing, and optimizing AI models to solve complex business problems. You will collaborate with cross-functional teams to deliver cutting-edge solutions in a fast-paced, growth-oriented environment.

Responsibilities

  • Design, develop, and deploy machine learning models to address key business challenges.
  • Work on data preprocessing, feature engineering, and model optimization.
  • Collaborate with data scientists, software engineers, and product teams to understand requirements and deliver robust solutions.
  • Implement machine learning algorithms and deep learning architectures.
  • Optimize model performance for scalability, speed, and reliability.
  • Monitor and maintain AI models in production to ensure performance and accuracy.
  • Stay up-to-date with the latest AI trends, tools, and best practices.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
  • 2-4 years of experience in AI and machine learning.
  • Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, and Scikit-Learn.
  • Experience with data processing tools like Pandas and NumPy.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and model deployment.
  • Strong problem-solving skills and ability to work independently and in a team.
  • Excellent communication skills.

Preferred Skills

  • Knowledge of NLP or computer vision.
  • Experience with big data tools (Spark, Hadoop) and distributed computing.
  • Understanding of MLOps practices and CI/CD pipelines.
  • Familiarity with Docker and Kubernetes.

What We Offer

  • Competitive salary and benefits package.
  • Flexible work environment, including remote options.
  • Opportunities for professional development.
  • Collaborative and inclusive team culture.

How to Apply

Please submit your resume and a brief cover letter detailing your relevant experience and why you’re a great fit for this role to [Your Email Address or Application Link].

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