AI Data Expert

Eliden

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Private healthcare and wellness initiatives
26 days annual leave plus bank holidays
Annual performance-based bonus
£2,500 annual budget for certifications and advanced training

Job summary

A global consultancy firm in Greater London seeks an AI Data Expert to design and optimize data infrastructure for AI solutions. The role involves creating reliable data pipelines, preparing datasets for machine learning, and collaborating with AI engineers. Candidates should have expertise in data engineering and tools like Pandas and PyTorch, along with strong analytical skills. The company offers a permanent position with benefits including healthcare, a performance-based bonus, and a budget for training.

Qualifications

  • Proven expertise in data engineering.
  • Hands-on knowledge of tools such as Pandas, NumPy, and PyTorch.
  • Familiarity with deploying machine learning models.
  • Strong analytical skills and a track record of troubleshooting data challenges in production systems.
  • Ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Bonus: Hands-on experience with Microsoft Copilot Studio and Power Platform tools.

Responsibilities

  • Design and implement scalable, reliable data pipelines for AI applications.
  • Prepare and clean diverse datasets for machine learning.
  • Fine-tune data storage and processing systems.
  • Collaborate with AI engineers to integrate and maintain machine learning models in production environments.
  • Identify and resolve bottlenecks or performance issues in data processing pipelines.
  • Work closely with cross-functional teams to align data strategies with business goals and technical requirements.

Skills

Data engineering expertise
Knowledge of Pandas
Knowledge of NumPy
Knowledge of PyTorch
Analytical skills
AI integration
Copilot Studio
Power Platform
Pandas
NumPy
PyTorch
AWS
Azure AI
Google Cloud
Production troubleshooting

Tools

Azure AI
AWS
Google Cloud
Microsoft Copilot Studio
Power Platform tools

Job description

Employment Type: Permanent

  • Private healthcare and wellness initiatives
  • 26 days annual leave plus bank holidays
  • Annual performance-based bonus
  • £2,500 annual budget for certifications and advanced training
About the Role

Our global consultancy client is looking for an experienced AI Data Expert to design and optimise data infrastructure for cutting-edge AI solutions. In this role, you will collaborate across teams, leveraging your expertise to transform raw data into actionable insights and ensure seamless integration of AI models. If you excel at solving complex data challenges and thrive in dynamic environments, this role is perfect for you.

Key Responsibilities
  • Design and implement scalable, reliable data pipelines to support large-scale AI-driven applications.
  • Prepare and clean diverse datasets for machine learning tasks, including text, numerical data, and unstructured formats.
  • Fine-tune data storage and processing systems for maximum performance and efficiency.
  • Collaborate with AI engineers to integrate and maintain machine learning models in production environments.
  • Identify and resolve bottlenecks or performance issues in data processing pipelines.
  • Work closely with cross-functional teams to align data strategies with business goals and technical requirements.
What Were Looking For
  • Proven expertise in data engineering, with hands-on knowledge of tools such as Pandas, NumPy, and PyTorch.
  • Familiarity with deploying machine learning models and optimising data workflows for AI applications.
  • Experience with cloud platforms like Azure AI, AWS, or Google Cloud.
  • Strong analytical skills and a track record of troubleshooting data challenges in production systems.
  • Ability to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Bonus: Hands-on experience with Microsoft Copilot Studio and Power Platform tools.
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