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- Tasks: Design, build, and deploy ML-powered features in a dynamic production platform.
- Company: Innovative business shaping the future of intelligent software.
- Benefits: Competitive salary, flexible working, and professional development opportunities.
- Other info: Join a growing team committed to delivering intelligent solutions.
- Why this job: Work on impactful projects with cutting-edge technologies in a collaborative environment.
- Qualifications: Strong experience in building ML models and proficiency in Python.
The predicted salary is between 28800 - 48000 £ per year.
We are working with an innovative business that is developing application software for a specialist sector. This is a fantastic opportunity to join a growing organisation that is committed to delivering intelligent solutions and shaping the future of its industry.
As a Machine Learning Engineer, you will play a key role in designing, building, and deploying ML-powered features across a production platform. You'll work across Python and JavaScript, integrating models into scalable, Real Time systems. You'll fine-tune the machine learning strategy, and establish best practices from the ground up. Collaboration will be central to your role, working closely with product, engineering, and leadership teams.
What you'll need to succeed:
- Strong commercial experience building and deploying ML models in production.
- Proficiency in Python and familiarity with JavaScript.
What you'll get in return:
- Competitive salary and benefits package.
- Flexible working options and a collaborative team environment.
- Opportunities for professional development and exposure to cutting-edge technologies.
- The chance to work on impactful projects that shape the future of intelligent software.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
Machine Learning Engineer in Devon employer: HAYS Specialist Recruitment
Contact Detail:
HAYS Specialist Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Devon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning Engineers. 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. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your past experiences. Practising coding challenges in Python and JavaScript will also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer in Devon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python and JavaScript, and showcase any projects where you've built or deployed ML models. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our innovative team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at HAYS Specialist Recruitment
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've built and deployed in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and practical experience.
✨Brush Up on Python and JavaScript
Since proficiency in Python and familiarity with JavaScript are key for this role, ensure you're comfortable discussing both languages. Prepare to answer technical questions or even solve coding problems on the spot to demonstrate your skills.
✨Showcase Your Collaboration Skills
Collaboration is central to the role, so be prepared to share examples of how you've worked with cross-functional teams in the past. Highlight any experiences where you successfully communicated complex technical concepts to non-technical stakeholders.
✨Research the Company and Its Innovations
Take some time to understand the company’s products and the sector they operate in. Being able to discuss their innovations and how you can contribute to their mission will show your genuine interest and enthusiasm for the role.