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Lead AI Engineer

2 months ago

UK, UK, United Kingdom ON Data Staffing Full time

Our client is a forward-thinking Data Analytics Consultancy dedicated to delivering innovative solutions and insights to their clients across various industries. As they continue to grow, they are looking to expand their advanced analytics team with a talented and driven Lead AI Engineer Consultant.


Role Overview:

As a Lead AI Engineer Consultant, you will be an integral part of our client's advanced analytics team, helping to solve complex business problems using data-driven insights and AI technologies. This fully remote role offers the flexibility to work from anywhere in the UK, allowing you to balance your professional and personal life while contributing to cutting-edge projects.


Key Responsibilities:

  • Develop, implement, and optimize machine learning models and AI solutions to address client-specific challenges.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Analyze large datasets to extract meaningful insights and present findings to clients in a clear and concise manner.
  • Continuously explore and evaluate new technologies and methodologies to enhance our client's service offerings.
  • Provide technical guidance and mentorship to junior team members.
  • Contribute to the development of internal tools and frameworks to streamline processes and improve efficiency.

Qualifications:

  • Proven experience as a Data Scientist or AI Engineer, with a strong portfolio of projects showcasing your expertise.
  • Consulting experience is a must.
  • Proficiency in programming languages such as Python, R, or Java.
  • Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong knowledge of data manipulation and analysis tools (e.g., SQL, Pandas).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Excellent problem-solving skills and the ability to think critically and creatively.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.