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For Companies At a Glance
- Tasks: Build and integrate ML models, write production-ready code, and automate tasks.
- Company: Leading AI solutions company with a focus on innovation.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Why this job: Join a dynamic team and work with cutting-edge AI technologies.
- Qualifications: Experience in Python coding and deploying AI/ML applications.
- Other info: Great chance to learn and collaborate across various teams.
The predicted salary is between 80000 - 110000 £ per year.
My client, a leading AI solutions company is currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis. The successful candidate will have strong experience with GenAI, ML Models as well as coding in Python.
The role:
- Build and integrate ML models into existing and new applications.
- Write production‑ready code, supporting model inference and logging.
- Build and evaluate AI workflows and agents for automating various tasks.
- Containerise applications and prepare them for deployment.
- Identify ways of improving how existing systems work.
- Understand client requirements across various domains and convert them into products and features.
What we are looking for:
- Experience in deploying AI/ML applications into production environments, specifically in Cloud environments.
- Experience in writing production‑ready Python code, with a strong technical foundation grounded in engineering best practices.
- Understanding of system design best practices (e.g. Ports and adapters), specifically understanding how to develop maintainable and future‑proof applications.
- Familiarity working with generative AI, with an understanding of how to build reliable systems around the technology.
- Strong communication skills, with an ability to collaborate with various teams across product, sales, data science and software engineering.
- Strong desire to learn new technologies and methodologies, and apply them to tackle complex problems across various domains.
Nice to haves:
- Experience working with Azure.
- Experience developing high‑performance APIs with frameworks like FastAPI and gRPC.
Machine Learning Engineer - Norton Blake in England employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Norton Blake in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 ML projects, especially those involving Python and Azure. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences with ML models and AI workflows.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer - Norton Blake in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with GenAI, ML models, and Python coding. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on, especially those involving AI/ML applications. We love seeing real examples of your work, so don’t hold back on sharing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about AI and how you can contribute to our team. We appreciate a personal touch that shows us who you are beyond your CV.
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 Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the ins and outs of machine learning models. Be ready to discuss your experience with GenAI and how you've deployed AI/ML applications in cloud environments like Azure.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific projects where you built or improved ML models, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly and Collaboratively
Since strong communication is key for this role, practice explaining technical concepts in simple terms. Be prepared to discuss how you've collaborated with different teams, such as product and data science, to deliver successful projects.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, challenges they face in deploying AI solutions, or how they envision the future of their ML applications.
