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- Tasks: Join a dynamic team to develop and train voice-based LLMs for innovative MedTech products.
- Company: Be part of a cutting-edge MedTech business focused on AI and ML solutions.
- Benefits: Enjoy a competitive salary up to £70k, equity, bonuses, and hybrid work flexibility.
- Why this job: Work on exciting projects that make a real impact in healthcare technology.
- Qualifications: Experience in machine learning, computer vision, and tools like Python and NVIDIA Jetson required.
- Other info: Collaborate with R&D in a supportive environment based in Milton Keynes.
The predicted salary is between 42000 - 84000 £ per year.
Machine Learning Engineer
Machine Learning Engineer – Hybrid UK – £70000
We are helping an innovative MedTech business scale their AI and ML team.
Due to continued growth and demand for their products they now urgently need a Machine Learning Engineer or Computer Vision Engineer to help launch a new product line.
This role would suit a knowledgeable Machine Learning Engineer or Computer Vision Engineer who has commercial experience of developing and training voice-based LLMs.
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 works in the Milton Keynes office three times per week, and it would be great if you could join them from time to time.
Key Responsibilities:
- 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.
What is in it for you?
As a talented Machine Learning Engineer or Computer Vision Engineer , you can expect:
- Great salary – Up to £70k base and package (negotiable 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.
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Machine Learning Engineer employer: Noa Recruitment Ltd
Contact Detail:
Noa Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your experience with voice-based LLMs in your conversations. Highlight specific projects where you've developed or trained these models, as this is a key requirement for the role.
✨Tip Number 2
Familiarize yourself with the tools mentioned in the job description, such as NVIDIA Jetson and SageMaker. Being able to discuss your hands-on experience with these technologies will set you apart during discussions.
✨Tip Number 3
Prepare to demonstrate your communication skills. Think of examples where you've successfully gained buy-in from stakeholders or collaborated with cross-functional teams, as this is crucial for working with the R&D team.
✨Tip Number 4
Since the role is hybrid, express your willingness to work in the Milton Keynes office. Showing flexibility and enthusiasm for team collaboration can make a positive impression.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and computer vision. Include specific projects where you developed and trained voice-based LLMs, and mention any relevant technologies like NVIDIA Jetson, Python, SageMaker, and GStreamer.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and ML. Explain why you're interested in this MedTech business and how your skills align with their needs. Highlight your communication skills and ability to gain buy-in from stakeholders.
Showcase Relevant Projects: If possible, include links to your portfolio or GitHub repository where you have showcased your work on machine learning projects. This can help demonstrate your practical experience and technical skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Noa Recruitment Ltd
✨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, especially those involving voice-based LLMs.
✨Familiarize Yourself with Relevant Tools
Make sure you are well-versed in the tools mentioned in the job description, such as NVIDIA Jetson, Python, SageMaker, and GStreamer. Be ready to explain how you've used these technologies in your previous roles.
✨Demonstrate Communication Skills
Since excellent communication skills are emphasized, practice explaining complex technical concepts in simple terms. Think of examples where you successfully gained buy-in from stakeholders or collaborated with cross-functional teams.
✨Understand the Company’s Vision
Research the MedTech business and its products. Understanding their mission and how your role as a Machine Learning Engineer fits into their goals will help you align your answers with their needs during the interview.
