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- Tasks: Build and implement machine learning models using cutting-edge technologies.
- Company: Join ADROIT PEOPLE LTD, a forward-thinking tech company revolutionising community knowledge.
- Benefits: Competitive pay, flexible contract, and opportunities for skill development.
- Why this job: Dive into the world of AI and make a real difference in tech innovation.
- Qualifications: Basic understanding of machine learning and enthusiasm for technology.
- Other info: Exciting entry-level role with potential for growth in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
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Job Description:
- Mongo/Atlas as alternative implementation (we might land with S3 instead)
- Pytorch
- Redis cluster setup
- Kafka/Flink streaming pipelines
- S3 Data pipeline
- Real time micro batches implementation (5 minutes, hourly, daily)
- SageMaker MLOps / SageMaker Training / SM Model Deployment
Seniority Level: Entry level
Employment Type: Contract
Job Function: Information Technology
Industries: Software Development
Location: London, England, United Kingdom
Machine Learning Engineer in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at ADROIT PEOPLE LTD. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with MongoDB, Pytorch, or any relevant tech. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of Kafka, Flink, and MLOps. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that match the Machine Learning Engineer role. We want to see how your background aligns with the tech stack mentioned, like Pytorch and Kafka.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about machine learning and how you can contribute to our mission. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on any projects related to machine learning or data pipelines, make sure to include them. We love seeing practical applications of your skills, especially with tools like SageMaker.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at Adroit People Ltd
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like MongoDB, Pytorch, and Kafka. Be ready to discuss how you've used these tools in your projects or studies, as this will show your practical knowledge and enthusiasm for the role.
✨Prepare for Real-World Scenarios
Think about how you would approach real-time data processing and micro-batch implementations. Prepare to explain your thought process and any relevant experiences, as interviewers often look for problem-solving skills in technical roles.
✨Showcase Your MLOps Knowledge
Since the role involves SageMaker and MLOps, brush up on your understanding of model deployment and training processes. Be prepared to discuss any projects where you've implemented similar practices, as this will demonstrate your readiness for the position.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's use of AI and community knowledge. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and career goals.