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- Tasks: Design and optimise data infrastructure for cutting-edge AI solutions.
- Company: Global consultancy with a focus on innovative AI applications.
- Benefits: 26 days annual leave, performance bonuses, and £2,500 for training.
- Why this job: Transform raw data into actionable insights and tackle complex challenges.
- Qualifications: Expertise in data engineering and familiarity with AI tools.
- Other info: Dynamic environment with opportunities for career growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Employment Type: 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 We’re 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.
AI Data Expert employer: Eliden
Contact Detail:
Eliden Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Data Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Expert role. Highlight your experience with data engineering tools like Pandas and NumPy, and don’t forget to mention any cloud platforms you’ve worked with. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data. Share specific examples of how you’ve tackled complex data challenges in the past. We love hearing your story and how it connects to our mission.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a personal project or something from a previous job, we want to see how you’ve applied your skills in real-world scenarios. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application directly and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Eliden
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Pandas, NumPy, and PyTorch. Brush up on your knowledge of cloud platforms such as Azure AI, AWS, or Google Cloud, as you might be asked to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've tackled in previous roles. Be ready to explain your thought process and the steps you took to resolve issues, especially in production systems. This will demonstrate your analytical skills and ability to troubleshoot effectively.
✨Communicate Clearly
Practice articulating complex technical concepts in a way that’s easy for non-technical stakeholders to understand. You might be asked to explain your work to someone without a technical background, so being able to simplify your explanations is key.
✨Collaborate and Align
Since the role involves working with cross-functional teams, think about how you can align data strategies with business goals. Prepare to discuss how you’ve collaborated with others in the past and how you ensure everyone is on the same page when it comes to data initiatives.
