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- Tasks: Lead the development of machine learning models and pipelines in a collaborative environment.
- Company: Join a forward-thinking company impacting industries like healthcare and energy management.
- Benefits: Enjoy flexible work options, enhanced leave, mental health support, and a generous pension.
- Why this job: Shape the future of AI while mentoring the next generation of engineers in high-stakes projects.
- Qualifications: Must have experience with Python, MLOps, and cloud systems like AWS or Azure.
- Other info: This is a remote position based in the UK, perfect for tech-savvy innovators.
The predicted salary is between 48000 - 84000 £ per year.
Senior Machine Learning Engineer – REMOTE UK
***Experience of taking models from PoC into cloud systems is essential***
Python, ideally AWS or Azure, deploying models
Are you ready to harness the power of AI and data science to impact industries as diverse as satellite communications, energy management, and healthcare?
My client is looking for a Senior Machine Learning Engineer to take on a key role in transforming concepts into cutting-edge solutions, directly shaping the future of advanced technologies. This is an opportunity to lead with your expertise and see your innovations thrive across multiple high-stakes projects.
Why You Should Apply
- Work at the intersection of AI, advanced mathematics, and real-world impact.
- Lead multiple projects with direct customer interaction and influence.
- Be a technical authority in a forward-thinking, collaborative environment.
- Mentorship and leadership opportunities, including developing the next generation of ML engineers.
- Flexible work arrangements with a mix of remote and office options.
- Enhanced leave benefits, mental health support, and a generous pension.
What You’ll Be Doing
- Build, train, and monitor robust machine learning pipelines.
- Lead model architecture and MLOps development across multiple platforms.
- Collaborate with consultants, engineers, and customers on cutting-edge projects.
- Drive model trustworthiness through confidence quantification and explainability.
- Mentor and lead teams, fostering innovation and growth.
About You
- Experience of taking models from PoC into cloud systems is essential.
- Expertise in Python, MLOps, and cloud services.
- Comfortable managing multiple, complex projects simultaneously.
- A technical leader who can guide both clients and team members.
- Experience in confidence quantification and model explainability.
- Demonstrable experience in AWS or Azure
Please apply via the link for immediate consideration
Senior Machine Learning Engineer MLOPS - REMOTE UK employer: ARCA
Contact Detail:
ARCA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer MLOPS - REMOTE UK
✨Tip Number 1
Make sure to showcase your experience with taking models from Proof of Concept (PoC) into cloud systems. Highlight specific projects where you've successfully deployed machine learning models in AWS or Azure, as this is a key requirement for the role.
✨Tip Number 2
Demonstrate your technical leadership skills by discussing instances where you've mentored junior engineers or led teams on complex projects. This will show that you can guide both clients and team members effectively.
✨Tip Number 3
Prepare to discuss your approach to model trustworthiness, confidence quantification, and explainability. Being able to articulate your strategies in these areas will set you apart as a candidate who understands the importance of reliable AI solutions.
✨Tip Number 4
Familiarize yourself with the latest trends in MLOps and cloud services. Showing that you're up-to-date with industry advancements will demonstrate your commitment to continuous learning and innovation, which is highly valued in this role.
We think you need these skills to ace Senior Machine Learning Engineer MLOPS - REMOTE UK
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Senior Machine Learning Engineer position. Highlight your experience with taking models from PoC into cloud systems, as this is essential.
Tailor Your CV: Customize your CV to emphasize your expertise in Python, MLOps, and cloud services like AWS or Azure. Include specific projects where you've built, trained, and monitored machine learning pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your technical leadership skills and your ability to manage multiple complex projects. Mention your experience in mentoring and leading teams, as well as your approach to model trustworthiness and explainability.
Highlight Relevant Projects: In your application, include examples of past projects that demonstrate your ability to collaborate with engineers and customers on cutting-edge solutions. This will show your potential employer how you can contribute to their innovative environment.
How to prepare for a job interview at ARCA
✨Showcase Your Cloud Experience
Make sure to highlight your experience in taking models from Proof of Concept (PoC) into cloud systems, especially with AWS or Azure. Be prepared to discuss specific projects where you successfully deployed machine learning models and the challenges you overcame.
✨Demonstrate Technical Leadership
As a Senior Machine Learning Engineer, you'll be expected to lead projects and mentor others. Share examples of how you've guided teams in the past, focusing on your leadership style and how you foster innovation and growth within your team.
✨Discuss Model Trustworthiness
Be ready to talk about your approach to model trustworthiness, including confidence quantification and explainability. Prepare to provide examples of how you've implemented these concepts in previous projects to ensure the reliability of your models.
✨Prepare for Technical Questions
Expect technical questions related to Python, MLOps, and machine learning pipelines. Brush up on your knowledge and be ready to solve problems on the spot or discuss your thought process in tackling complex technical challenges.
