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- Tasks: Design and deliver advanced analytics and AI solutions for large-scale operations.
- Company: Join a high-performing tech team in London with a hybrid work model.
- Benefits: Flexible hours, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and emerging tech.
- Why this job: Be at the forefront of AI engineering and make a real impact globally.
- Qualifications: Experience in data science, machine learning, and cloud technologies.
The predicted salary is between 36000 - 60000 £ per year.
Location: London (Hybrid - 2 days WFH)
Term: Permanent
Hours: 9:30am-5:30pm (flexible based on business needs)
Overview: We are seeking an experienced Engineer: Data Science to join a high-performing technology function. This role focuses on the design, development, and delivery of advanced analytics, machine learning, and AI solutions that support large-scale business operations. You will work alongside data scientists, engineers, and cross-functional teams to build reliable, scalable, production-ready solutions within a modern cloud environment. This is an exciting opportunity for someone passionate about AI engineering, MLOps, and emerging technologies who wants to deliver impactful solutions in a complex, global environment.
Key Responsibilities:
- Design, build, test, deploy, and support end-to-end data science and AI solutions.
- Operationalise ML models using CI/CD pipelines, automated testing, and monitoring.
- Apply MLOps practices such as versioning, retraining, and drift detection.
- Deliver scalable solutions using Azure ML, Databricks, MLflow, and similar platforms.
Data Science Engineer employer: Precise Placements Ltd
Contact Detail:
Precise Placements Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. We want to see your work in action, so make sure it’s easily accessible and highlights your best achievements.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of MLOps practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI engineering and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves advanced analytics and MLOps, make sure to mention your experience with tools like Azure ML, Databricks, and CI/CD pipelines. We’re looking for someone who can hit the ground running!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Precise Placements Ltd
✨Know Your Tech Stack
Make sure you’re familiar with the tools and technologies mentioned in the job description, like Azure ML and Databricks. Brush up on your knowledge of MLOps practices and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data science projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Demonstrate Team Collaboration
Since this role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others. Talk about your experience working alongside data scientists and engineers to deliver impactful solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and machine learning. This shows your genuine interest in the role and helps you understand how you can contribute to their goals. Think about asking about their current projects or future technology initiatives.