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- Tasks: Join our R&D team to develop and train voice-based LLMs.
- Company: Noa Recruitment connects tech talent with amazing career opportunities.
- Benefits: Enjoy a competitive salary, equity, bonuses, and hybrid work options.
- Why this job: Be part of innovative projects in machine learning and computer vision.
- Qualifications: Strong background in ML, experience with NVIDIA, Python, and SageMaker required.
- Other info: Work in Milton Keynes office three times a week; flexible and collaborative culture.
The predicted salary is between 42000 - 84000 £ per year.
This role would suit a knowledgeable Machine Learning Engineer or Computer Vision Engineer who has commercial experience of developing and training voice based LLM’s.
The Machine Learning Engineer or Computer Vision Engineer will work with the R&D team to bring new solutions to life.
This role is Hybrid within the UK. The team work in the Milton Keynes office three times per week and it would be great if you could join them from time to time.
To be a successful, the ideal Machine Learning Engineer or Computer Vision Engineer candidate will have:
· A strong career background in machine learning and computer vision.
· Commercial experience of developing and training ML datasets
· Experience of NVIDIA (jetson) Python, SageMaker and Gstreamer
· Excellent communication skills and ideally how to win buy in from the business
· Great salary – Up to £70k base and Package (neg for the right person)
· Equity and Bonus
If you are an ambitious Machine Learning Engineer or Computer Vision Engineer hit apply and we will do the rest.
Please apply with your CV and we will be in touch for a confidential chat.
Noa Recruitment specialise in helping Software and Web Professionals and technical talent find great careers. If this role doesn’t sound like you, but you know a great person who might be interested then please do share these details with them
Machine Learning Engineer employer: Noa Recruitment
Contact Detail:
Noa Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your commercial experience with developing and training ML datasets during any discussions. Highlight specific projects where you've successfully implemented machine learning solutions.
✨Tip Number 2
Familiarize yourself with the tools mentioned in the job description, such as NVIDIA Jetson, Python, SageMaker, and Gstreamer. Being able to discuss your hands-on experience with these technologies will set you apart.
✨Tip Number 3
Prepare to demonstrate your communication skills. Think of examples where you've effectively communicated complex technical concepts to non-technical stakeholders or gained buy-in for your projects.
✨Tip Number 4
Since this role is hybrid, be ready to discuss your flexibility regarding office attendance. Showing enthusiasm for collaborating with the team in Milton Keynes can make a positive impression.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your commercial experience in developing and training ML datasets, as well as your background in machine learning and computer vision. Tailor your CV to showcase specific projects or roles that align with the job description.
Showcase Technical Skills: Clearly list your proficiency in NVIDIA (Jetson), Python, SageMaker, and Gstreamer. Providing examples of how you've used these technologies in past projects can strengthen your application.
Communicate Effectively: Since excellent communication skills are essential for this role, consider including a brief section in your CV or cover letter that demonstrates your ability to win buy-in from stakeholders or collaborate effectively within a team.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements and responsibilities mentioned in the job description. This shows that you have taken the time to understand the role and are genuinely interested in it.
How to prepare for a job interview at Noa Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and computer vision in detail. Highlight specific projects where you developed and trained ML datasets, and be ready to explain the methodologies you used.
✨Familiarize Yourself with Relevant Tools
Make sure you have a solid understanding of NVIDIA Jetson, Python, SageMaker, and Gstreamer. You might be asked about how you've utilized these tools in past projects, so having examples ready will demonstrate your expertise.
✨Communicate Effectively
Excellent communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you may need to win buy-in from non-technical stakeholders during your discussions.
✨Demonstrate Your Team Spirit
Since the role involves working closely with the R&D team, emphasize your ability to collaborate effectively. Share examples of how you've worked in teams to bring new solutions to life, especially in hybrid work environments.
