At a Glance
- Tasks: Build and optimise AI-driven platforms using cutting-edge technologies.
- Company: Join a leading AI and digital engineering firm with a global impact.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on inclusion and career advancement.
- Why this job: Be at the forefront of innovation and transform industries with your skills.
- Qualifications: Proficiency in AWS, Python, and containerised services like Docker.
The predicted salary is between 60000 - 80000 £ per year.
About the Company
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries.
Must Have - DevOps Profile
- Strong proficiency with core AWS cloud services used to build GenAI platform infrastructure
- Deep expertise in containerised service engineering (Docker, ECS, FastAPI) and building scalable systems
- Excellent software engineering skills in Python plus supporting tooling (Git/GitLab CI)
Desired:
- AI/MLOps/and Bedrock for foundation model access
- Strong R
Machine Learning Engineer employer: Persistent Systems
As a Machine Learning Engineer at our innovative AI-led company, you will be part of a dynamic team that thrives on collaboration and creativity, driving impactful solutions for industry leaders. We offer a vibrant work culture that prioritises employee growth through continuous learning opportunities and mentorship, alongside competitive benefits that support your well-being. Located in a fast-paced environment, you will have the chance to work with cutting-edge technologies while contributing to projects that shape the future of digital engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. 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 practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and helps us get to know you better.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re not just ticking boxes but genuinely excited about the work we do and how you can contribute to it.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Machine Learning Engineer role. Highlight your relevant experience with AWS, Docker, and Python, and connect your skills to what we’re looking for in the job description. It shows us you’ve done your homework!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your key achievements stand out. We want to get to know you quickly!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Persistent Systems
✨Know Your Tech Inside Out
Make sure you’re well-versed in the core AWS cloud services and containerised service engineering. Brush up on Docker, ECS, and FastAPI, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly proficient.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to adapt, which is key in a dynamic environment.
✨Familiarise Yourself with AI and MLOps
Since the role involves AI and MLOps, make sure you understand the latest trends and tools in this space. Be ready to talk about any relevant projects or experiences you have, especially with Bedrock for foundation model access. This shows your commitment to staying updated in a fast-evolving field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to digital engineering and enterprise modernisation. Inquire about their recent projects or how they maintain their growth momentum. This not only shows your interest in the company but also helps you gauge if it’s the right fit for you.
