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- Tasks: Join us to conduct advanced ML research and develop scalable models.
- Company: Be part of a dynamic team in London focused on innovative healthcare solutions.
- Benefits: Enjoy opportunities for mentorship, collaboration, and cutting-edge technology.
- Why this job: Make a real impact in healthcare while working with top-tier professionals.
- Qualifications: Ph.D. preferred; strong programming skills in Python, C++, or Java required.
- Other info: Ideal for those passionate about machine learning and improving patient outcomes.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a highly skilled and motivated Senior Machine Learning Engineer to join this team in London. This role offers a unique opportunity to engage in cutting-edge research while applying your engineering expertise to develop and deploy machine learning solutions.
Key Responsibilities:
- Conduct and publish advanced machine learning research.
- Design, develop, and deploy scalable ML models with cross-functional teams.
- Lead implementation of ML algorithms, ensuring code quality and optimization.
- Oversee the ML lifecycle from data collection to deployment.
- Stay informed on ML advancements to drive team innovation.
- Mentor junior team members and promote knowledge sharing.
- Translate business requirements into technical ML solutions.
Qualifications:
- Advanced degree (Ph.D. preferred) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Proven experience in conducting research and publishing in top-tier journals or conferences.
- Strong programming skills in languages such as Python, C++, or Java, and experience with machine learning frameworks like TensorFlow or PyTorch.
- Demonstrated ability to develop and deploy machine learning models in a production environment.
If you are a driven Machine Learning Engineer ready to make a significant impact in healthcare, we want to hear from you. Apply now to join the team and help create products that truly improve patient outcomes.
Machine Learning Engineer employer: praxis
Contact Detail:
praxis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your research experience prominently. Highlight any publications in top-tier journals or conferences, as this is a key qualification for the role.
✨Tip Number 2
Demonstrate your programming skills by discussing specific projects where you've used Python, C++, or Java. Mention any machine learning frameworks like TensorFlow or PyTorch that you have experience with.
✨Tip Number 3
Prepare to discuss your experience with the entire ML lifecycle. Be ready to explain how you've handled data collection, model development, and deployment in previous roles.
✨Tip Number 4
Show your passion for innovation in machine learning. Stay updated on the latest advancements and be prepared to share how you can drive innovation within our team.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in conducting machine learning research and any publications in top-tier journals or conferences. This will demonstrate your expertise and commitment to the field.
Showcase Technical Skills: Clearly outline your programming skills, especially in Python, C++, or Java, and mention your familiarity with machine learning frameworks like TensorFlow or PyTorch. Providing specific examples of projects where you utilized these skills can strengthen your application.
Demonstrate Leadership and Mentorship: If you have experience mentoring junior team members or leading projects, be sure to include this in your application. Highlighting your ability to promote knowledge sharing and drive innovation will set you apart.
Tailor Your Application: Customize your cover letter and CV to align with the job description. Address how your background and skills specifically meet the responsibilities and qualifications outlined for the Senior Machine Learning Engineer role.
How to prepare for a job interview at praxis
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any publications or presentations at conferences, as this demonstrates your ability to contribute to cutting-edge research.
✨Demonstrate Technical Proficiency
Make sure to showcase your programming skills, especially in Python, C++, or Java. Be ready to discuss specific machine learning frameworks like TensorFlow or PyTorch and provide examples of models you've developed and deployed.
✨Discuss the ML Lifecycle
Understand and articulate the entire machine learning lifecycle, from data collection to deployment. Be prepared to share your experiences in overseeing this process and how you ensure code quality and optimization.
✨Emphasize Mentorship and Collaboration
Since mentoring junior team members is part of the role, be ready to discuss your experience in knowledge sharing and collaboration within cross-functional teams. Highlight any leadership roles you've taken on in past projects.
