At a Glance
- Tasks: Design and develop AI applications using Python and Databricks.
- Company: Join ScaleneWorks, a career architect connecting talent with top opportunities.
- Benefits: Hybrid work model, competitive salary, and professional growth.
- Why this job: Shape the future of AI while working on innovative projects.
- Qualifications: 7+ years in Python development with AI/GenAI experience.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 70000 - 90000 £ per year.
At ScaleneWorks People Solutions, we are looking for a Python AI Engineer with Databricks exposure for our well-known client.
Location: London, UK
Type of Work: Hybrid (2-3 days from the office in a week)
Employment Type: FTE (Full Time Employment) or Inside IR35 Contract
Overview: We are looking for a Python AI Engineer with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering.
Key Responsibilities:
- Design and develop AI and Generative AI applications using Python.
- Build backend services and APIs using Flask or Django for AI-powered systems.
- Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets.
- Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools.
- Design scalable architectures for AI solutions including model deployment and data pipelines.
- Build REST APIs and microservices to integrate AI models with enterprise applications.
- Work with cloud platforms (Azure preferred) to deploy and scale AI applications.
- Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions.
Required Technical Skills:
- 7+ years of experience as a Python developer, with at least the last 3+ years focused on AI / GenAI solutions.
- GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation.
- Python development: Strong coding and data processing experience.
- SQL and database experience: Querying, data modeling, and data integration.
- Backend frameworks: Django or Flask.
- API development: RESTful services and microservice architecture.
- AI system architecture / solution design: Designing scalable AI applications.
- Cloud platforms: Azure AI services preferred.
- Data platforms: Experience with Databricks or similar ML platforms is a plus.
Soft Skills:
- Strong problem solving and analytical thinking.
- Ability to work in cross-functional teams.
- Good communication and collaboration skills.
If you are ready to embark on an exciting journey with ScaleneWorks, we would love to hear from you! Submit your resume today and let’s unlock new possibilities together.
Python AI Engineer with Databricks in Slough employer: ScaleneWorks People Solutions LLP
Contact Detail:
ScaleneWorks People Solutions LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python AI Engineer with Databricks in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python and AI. Share your GitHub link or personal website when you apply. It’s a great way to demonstrate your expertise beyond just a CV.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Don’t forget to brush up on your knowledge of Databricks and cloud platforms like Azure. Confidence is key!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! We’re dedicated to connecting talent with top-tier opportunities, and we want to help you land that dream job.
We think you need these skills to ace Python AI Engineer with Databricks in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AI, and Databricks. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for the role. Let us know what excites you about working with us at ScaleneWorks.
Showcase Your Projects: If you've worked on any AI or Databricks projects, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Let’s get started on shaping your future together!
How to prepare for a job interview at ScaleneWorks People Solutions LLP
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially in AI and Generative AI. Be ready to discuss your experience with frameworks like Flask or Django, and don’t forget to highlight any projects where you've built APIs or worked with Databricks.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about challenges you've faced in AI solution design or backend development, and be ready to explain your thought process and the outcomes.
✨Understand the Company’s Needs
Research ScaleneWorks and their client’s industry. Understand the types of AI solutions they might be looking for and think about how your skills can meet those needs. This will show that you're not just a fit for the role, but also genuinely interested in contributing to their success.
✨Practice Your Communication Skills
Since collaboration is key in this role, practice explaining your technical knowledge in simple terms. Be prepared to discuss how you’ve worked with cross-functional teams and how you communicate complex ideas effectively.