AI / ML Engineer

AI / ML Engineer

Posted Today by ST Global Tech

£450 Per day
Undetermined
Remote
London

Summary: The AI Engineer role is focused on developing and implementing machine learning systems and artificial intelligence solutions. The position requires extensive experience in technical consulting and proficiency in programming languages, with a strong emphasis on communication skills in English and Spanish. The role is remote and is expected to last for a minimum of six months. Candidates should have a solid understanding of production ML systems and relevant experience in recommendation engines and data pipelines.

Key Responsibilities:

  • Develop and implement machine learning systems and AI solutions.
  • Provide technical consulting and client service in AI and ML projects.
  • Communicate effectively with stakeholders in English and Spanish.
  • Work with recommendation engines, data pipelines, and distributed machine learning.
  • Utilize deep learning frameworks and data warehousing concepts.

Key Skills:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • 7+ years of hands-on experience in machine learning and AI.
  • Proficiency in programming languages such as Python, Perl, C, C++, or Java.
  • Experience with deep learning frameworks like TensorFlow, PyTorch, or XGBoost.
  • Knowledge of data warehousing concepts and analytic environments.
  • Fluency in English and Spanish.

Salary (Rate): £450 per day

City: London

Country: UK

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Role– AI Engineer Location : EMEA (UK )- Remote Contract 6+month Minimum Qualifications: - Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent practical experience. - Experience in machine learning and artificial intelligence. - Coding and scripting proficiency in one or more languages (Python, Perl, C, C++, or Java). - Experience in technical client service or consulting. - Ability to communicate fluently in both English and Spanish to engage with local stakeholders. Required Qualifications: - Solid understanding of production ML system practicalities. - 7+ years of hands-on experience with recommendation engines, data pipelines, or distributed machine learning. - Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). - Knowledge of data warehousing concepts, including architectures, ETL/ELT, and analytic environments (e.g., Apache Beam, Hadoop, Spark, Hive). - Relevant experience in technical consulting.