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- Tasks: Build and optimise machine learning models using cutting-edge tools like SageMaker and Pytorch.
- Company: Join a forward-thinking tech company focused on innovation and growth.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for skill development.
- Why this job: Dive into exciting projects that shape the future of technology and data.
- Qualifications: Experience in machine learning and familiarity with data pipelines and streaming technologies.
- Other info: Be part of a vibrant team with endless learning and career advancement possibilities.
The predicted salary is between 36000 - 60000 £ per year.
Job Description:
- Redis cluster setup
- Kafka/Flink streaming pipelines
- S3 Data pipeline
- Real time micro batches implementation (5 minutes, hourly, daily)
- Mongo/Atlas as alternative implementation (we might land with S3 instead)
- SageMaker MLOps / SageMaker Training / SM Model Deployment
- Pytorch
Machine Learning Engineer employer: Adroit People Ltd
Contact Detail:
Adroit People Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Get familiar with the tools mentioned in the job description. If you haven't already, dive into Redis, Kafka, and SageMaker. Showing that you can hit the ground running will definitely impress potential employers!
✨Tip Number 2
Network like a pro! Reach out to current Machine Learning Engineers on LinkedIn or at meetups. They might have insider info on job openings or even refer you directly, which can give you a leg up in the application process.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common interview questions related to Pytorch and MLOps. The more confident you are, the better you'll perform when it counts!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with data pipelines and real-time processing to stand out from the crowd.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Redis, Kafka, and any relevant machine learning frameworks like PyTorch. We want to see how your skills match up with what we’re looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about machine learning and how your past experiences have prepared you for this role. We love hearing your story, so make it personal!
Showcase Your Projects: If you've worked on any projects involving S3 data pipelines or real-time micro-batching, be sure to mention them! We’re keen to see practical examples of your work and how you’ve tackled challenges.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Adroit People Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on Redis, Kafka, and Flink, and be ready to discuss how you've used them in past projects. Being able to talk about your experience with S3 and Mongo/Atlas will show that you understand the alternatives and can adapt to different scenarios.
✨Demonstrate Your Problem-Solving Skills
Prepare to tackle some real-world problems during the interview. Think of examples where you’ve implemented real-time micro-batches or set up data pipelines. Be ready to explain your thought process and the steps you took to overcome challenges, especially in MLOps and model deployment using SageMaker.
✨Showcase Your Projects
Bring along a portfolio of your work, especially any projects involving Pytorch or machine learning models. Discuss the impact of your work and how it relates to the role. This not only highlights your skills but also shows your passion for the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects or future plans regarding machine learning. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.
