At a Glance
- Tasks: Develop tools for building and deploying Machine Learning components in a dynamic team.
- Company: Join Deepstreamtech, a forward-thinking company in Bristol.
- Benefits: Competitive salary, flexible work options, and opportunities for skill development.
- Other info: Be part of a collaborative environment with great career growth potential.
- Why this job: Make an impact in the exciting field of Machine Learning and High-Performance Computing.
- Qualifications: Experience in Python/C++, Linux, and build processes is a must.
The predicted salary is between 40000 - 50000 € per year.
Deepstreamtech is looking for a skilled software engineer in Bristol to join their dynamic Software Infrastructure team. In this role, you will develop essential tools and services for building, testing, and deploying Machine Learning components. Your work will focus on enhancing the processes of the ML Software Stack, collaborating with QA and development teams, and ensuring good practices for software releases.
Experience in Python/C++, Linux environments, and build processes is essential for this position.
Build Infrastructure Engineer for ML Stack & HPC in Bristol employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Bristol. Employees benefit from continuous professional development opportunities, a supportive team environment, and the chance to work on cutting-edge Machine Learning technologies. With a focus on employee well-being and a commitment to best practices, Deepstreamtech offers a rewarding career path for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Build Infrastructure Engineer for ML Stack & HPC in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and HPC. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, C++, and Linux environments. Practising coding challenges can also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Build Infrastructure Engineer for ML Stack & HPC in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python/C++, Linux environments, and any relevant build processes. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Build Infrastructure Engineer position and how your background makes you a perfect fit for our dynamic Software Infrastructure team.
Showcase Your Projects:If you've worked on any projects related to Machine Learning or software infrastructure, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss your experience with these languages, especially in the context of building and deploying Machine Learning components. It’s a great way to show that you’re not just familiar with the tech but can also apply it effectively.
✨Familiarise Yourself with Linux
Since the role involves working in Linux environments, take some time to review common commands and tools used in Linux. Being able to demonstrate your comfort level with Linux during the interview will definitely give you an edge.
✨Understand Build Processes
Dive into the specifics of build processes relevant to ML stacks. Be prepared to discuss any tools or methodologies you've used in the past. Showing that you have a solid grasp of how to enhance these processes will resonate well with the interviewers.
✨Collaboration is Key
This role involves working closely with QA and development teams, so be ready to share examples of how you've successfully collaborated in previous projects. Highlighting your teamwork skills will show that you can fit right into their dynamic Software Infrastructure team.
