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For Companies At a Glance
- Tasks: Build and integrate ML models, write production-ready Python code, and automate tasks.
- Company: Leading AI solutions company offering a fully remote role.
- Benefits: Competitive salary of £100,000, flexible work environment, and opportunities for growth.
- Why this job: Join a dynamic team and work with cutting-edge AI technologies to make a real impact.
- Qualifications: Experience in AI/ML applications, strong Python skills, and a passion for learning.
- Other info: Collaborative culture with opportunities to work across various teams.
The predicted salary is between 72000 - 84000 £ 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.
- Identifying ways of improving how existing systems work.
- Understanding client requirements across various domains and converting 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 in England employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and Azure. We want to see your work in action, so make it easy for potential employers to check it out.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common ML scenarios and coding challenges. Remember, confidence is key!
✨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 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 in cloud environments. This gives us a glimpse of your hands-on experience and problem-solving abilities.
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 love seeing enthusiasm and a strong desire to learn new technologies.
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. Don’t miss out on this opportunity!
How to prepare for a job interview at Norton Blake
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the ins and outs of ML models. Be ready to discuss your experience with GenAI and how you've deployed AI/ML applications in cloud environments, especially Azure. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in previous roles. Think of specific projects where you improved existing systems or built new applications. Highlight your ability to convert client requirements into functional products and features.
✨Communicate Clearly and Collaboratively
Since this role involves working with various teams, practice articulating your thoughts clearly. Be ready to discuss how you've collaborated with product, sales, data science, and software engineering teams in the past. Good communication can set you apart!
✨Stay Curious and Open-Minded
Demonstrate your eagerness to learn new technologies and methodologies. Share examples of how you've adapted to new tools or frameworks in your work. Companies love candidates who are proactive about their professional growth!
