AI Data Expert
Eliden- Location
- Location not stated
- Workplace
- Hybrid
- Employment
- —
- Salary
- GBP 65,000–80,000/yr
AI Data Expert - Eliden | Career Page
AI Data Expert
London, United Kingdom BNPP
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Job Openings AI Data Expert
About the job AI Data Expert
Location
London (Hybrid 1 day per week onsite)
Employment Type
Permanent
Salary
£65,000 - £80,000 per annum
Benefits
- 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
- Flexible working hours
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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- X (Formerly Twitter)
Skills
- Machine Learning
- Pandas
- NumPy
- PyTorch
- Azure AI
- AWS
- GCP
- Microsoft Copilot
- Power Platform