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- Tasks: Build and maintain cloud data pipelines using Azure, PySpark, and Databricks.
- Company: Join Axiom Software Solutions Limited, a leader in innovative tech solutions.
- Benefits: Enjoy flexible working options and a vibrant company culture.
- Why this job: Be part of cutting-edge AI projects that make a real impact in the tech world.
- Qualifications: Strong Python skills and experience with MS Azure and big data tools required.
- Other info: Ideal for tech enthusiasts eager to grow in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
Experience in Cloud Data Pipelines. Building cloud data pipelines involves using Azure native programming techniques such as PySpark or Scala and Databricks. These pipelines are essential for tasks like sourcing, enriching, and maintaining structured and unstructured data sets for analysis and reporting. They are also crucial for secondary tasks such as flow pipelines, streamlining AI model performance, and enhancing interaction with LLM-based systems.
Key Skills and Experiences:
- Strong programming experience in Python
- Proven experience working on the MS Azure cloud platform and its native tech stack in designing and building data & AI solutions
- Experience with data modeling, ETL processes, and data warehousing
- Knowledge of big data tools and frameworks such as Spark, Hadoop, or Kafka
AI Engineer in London - Axiom Software Solutions Limited employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London - Axiom Software Solutions Limited
✨Tip Number 1
Familiarise yourself with Azure's native programming techniques, especially PySpark and Scala. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the AI and data engineering fields. Attend meetups or webinars focused on Azure and big data tools like Spark and Hadoop to gain insights and make valuable connections.
✨Tip Number 3
Stay updated on the latest trends and advancements in AI and cloud data pipelines. Follow relevant blogs, podcasts, and forums to engage with the community and demonstrate your passion during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to data modelling and ETL processes. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills in Python and big data frameworks.
We think you need these skills to ace AI Engineer in London - Axiom Software Solutions Limited
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming experience in Python and any relevant projects you've worked on using Azure, PySpark, or Scala. Emphasise your skills in data modelling, ETL processes, and familiarity with big data tools like Spark or Hadoop.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI engineering and how your experience aligns with the role at Axiom Software Solutions. Mention specific projects where you've built cloud data pipelines and how they contributed to AI model performance.
Showcase Relevant Projects: If you have a portfolio or GitHub repository, include links to projects that demonstrate your ability to build data pipelines and work with LLM-based systems. This will give the hiring team concrete examples of your skills.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a technical role like this.
How to prepare for a job interview at WorksHub
✨Showcase Your Programming Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've used Python for building data pipelines, and be ready to explain your coding choices and the outcomes.
✨Demonstrate Azure Expertise
Since the role requires strong knowledge of the MS Azure cloud platform, make sure to share examples of how you've designed and built data and AI solutions using Azure. Familiarise yourself with its native tech stack to answer any technical questions confidently.
✨Discuss Data Modelling and ETL Processes
Prepare to talk about your experience with data modelling, ETL processes, and data warehousing. Be ready to provide examples of how you've implemented these processes in past projects and the impact they had on data analysis and reporting.
✨Familiarise Yourself with Big Data Tools
Brush up on big data tools and frameworks like Spark, Hadoop, and Kafka. Be ready to discuss how you've used these technologies in your previous roles, particularly in relation to building cloud data pipelines and enhancing AI model performance.
