AI/ML Engineer

AI/ML Engineer

Posted Today by N Consulting Global

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Negotiable
Undetermined
Hybrid
Edinburgh, Scotland, United Kingdom
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A/B Testing Algorithms Amazon Web Services (AWS) Apache Kafka Apache Spark Applications Of Artificial Intelligence Artificial Intelligence AWS SageMaker C++ (Programming Language) Cloud Computing Cloud Technology Computer Science Computer Vision Data Processing Data Science Deep Learning Generic Programming Google Cloud Platform (GCP) Java (Programming Language) Keras (Neural Network Library) Machine Learning Machine Learning Algorithms Microsoft Azure Natural Language Processing Python (Programming Language) PyTorch (Machine Learning Library) Reinforcement Learning Scalability Scikit-learn (Machine Learning Library) Snowflake (Data Warehouse) Software Development SQL (Programming Language) Stakeholder Management Statistical Methods Verification And Validation

Summary: The AI/ML Engineer role in Edinburgh involves designing, developing, and implementing AI/ML models and solutions for real-world applications. The position requires collaboration with data engineers and stakeholders to optimize datasets and translate business problems into AI-driven solutions. Candidates should have extensive experience in AI/ML technologies and practices, with a focus on scalability and ethical AI. The role is hybrid and requires a strong technical background in programming and machine learning frameworks.

Key Responsibilities:

  • Design, develop, and implement AI/ML models, algorithms, and solutions for real-world problems.
  • Collaborate with data engineers to prepare, clean, and optimize large-scale datasets for AI applications.
  • Build and deploy machine learning pipelines (training, validation, deployment, monitoring, and retraining).
  • Optimize models for scalability, performance, and cost efficiency in production environments.
  • Apply NLP, computer vision, deep learning, or reinforcement learning techniques where applicable.
  • Work with cloud platforms (AWS, Azure, GCP, or Snowflake) to deploy AI solutions at scale.
  • Collaborate with stakeholders to translate business problems into AI-driven solutions.
  • Implement AI observability, governance, fairness, and ethical AI practices.
  • Stay up-to-date with emerging AI/ML research, tools, and technologies.

Key Skills:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
  • Strong programming skills in Python, Java, or C++ with hands-on experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
  • Solid understanding of ML algorithms, neural networks, transformers, and statistical methods.
  • Experience with data processing frameworks (Pandas, Spark, SQL, Kafka).
  • Knowledge of cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI).
  • Strong problem-solving and analytical skills with the ability to translate complex problems into implementable AI solutions.
  • Experience in model monitoring, A/B testing, and continuous improvement.

Salary (Rate): undetermined

City: Edinburgh

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role : AI/ML Engineer

Location : Edinburgh

Work Mode: Hybrid

Contract Role

Experience : 8+ Years

Job Description

Key Responsibilities

  • Design, develop, and implement AI/ML models, algorithms, and solutions for real-world problems.
  • Collaborate with data engineers to prepare, clean, and optimize large-scale datasets for AI applications.
  • Build and deploy machine learning pipelines (training, validation, deployment, monitoring, and retraining).
  • Optimize models for scalability, performance, and cost efficiency in production environments.
  • Apply NLP, computer vision, deep learning, or reinforcement learning techniques where applicable.
  • Work with cloud platforms (AWS, Azure, GCP, or Snowflake) to deploy AI solutions at scale.
  • Collaborate with stakeholders to translate business problems into AI-driven solutions.
  • Implement AI observability, governance, fairness, and ethical AI practices.
  • Stay up-to-date with emerging AI/ML research, tools, and technologies.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
  • Strong programming skills in Python, Java, or C++ with hands-on experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras).
  • Solid understanding of ML algorithms, neural networks, transformers, and statistical methods.
  • Experience with data processing frameworks (Pandas, Spark, SQL, Kafka).
  • Knowledge of cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI).
  • Strong problem-solving and analytical skills with the ability to translate complex problems into implementable AI solutions.
  • Experience in model monitoring, A/B testing, and continuous improvement.
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