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- Tasks: Design and implement cutting-edge machine learning systems with autonomy.
- Company: Join a renowned global organisation in the assurance space.
- Benefits: Enjoy flexible working options and a healthy work/life balance.
- Why this job: Work on exciting projects in a supportive team environment.
- Qualifications: Experience in machine learning, Azure, Python, and collaborative teamwork required.
- Other info: Opportunity for remote work and tackling innovative challenges.
The predicted salary is between 51000 - 119000 £ per year.
Senior Machine Learning Engineer
Birmingham/Fully Remote
Salary up to £85,000 per annum
An exciting opportunity has arisen to join a well known, global organisation within the assurance space. As the new Machine Learning Engineer, you would join a well established team, take on some cutting edge projects and be given plenty of autonomy and flexibility.
Key Responsibilties:
- Design and implement machine learning systems using Azure Machine Learning and OpenAI API
- Optimize model performance across Azure and Databricks platforms.
- Deploy and monitor scalable machine learning models in production environments.
- Develop APIs and services for Real Time data processing and inference.
- Work in a cross-functional team to integrate machine learning solutions with existing company systems and platforms.
Requirements:
- Proven experience as a Machine Learning Engineer or in a similar role.
- Expertise in ML algorithms and the current GenAI techniques.
- Strong skills with Azure, familiar with Azure Data Factory and Azure DevOps.
- Strong coding skills in Python, and familiarity with ML frameworks and libraries.
- Experience with system design and cloud technologies.
- Ability to work collaboratively in a team environment and communicate effectively.
This is a great opportunity to tackle some amazing projects in a fully supportive environment while maintaining a health work/life balance.
If you are interested, please apply for full details.
Contact Detail:
Eden Smith Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Azure Machine Learning and OpenAI API. Since these are key tools for the role, having hands-on experience or projects showcasing your skills with them can really set you apart during discussions.
✨Tip Number 2
Brush up on your knowledge of ML algorithms and GenAI techniques. Being able to discuss recent advancements or your own experiences with these technologies will demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare to showcase your coding skills in Python. Consider working on a small project or two that highlights your ability to implement machine learning models, as practical examples can be very persuasive in interviews.
✨Tip Number 4
Emphasise your collaborative skills and experience working in cross-functional teams. Be ready to share specific examples of how you've successfully integrated machine learning solutions with other systems, as teamwork is crucial for this role.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Machine Learning Engineer. Focus on relevant projects, particularly those involving Azure Machine Learning and OpenAI API, to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or technologies you’ve worked with that align with the job description, such as ML algorithms and cloud technologies.
Showcase Your Technical Skills: Clearly outline your technical skills in Python, Azure, and any ML frameworks you are familiar with. Use bullet points to make this information easy to read and ensure it stands out.
Highlight Team Collaboration: Since the role involves working in a cross-functional team, include examples of how you've successfully collaborated with others in previous roles. This will show your ability to communicate effectively and work well in a team environment.
How to prepare for a job interview at Eden Smith Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and frameworks. Highlight specific projects where you've implemented ML systems, especially using Azure and Python, as this will demonstrate your expertise in the required technologies.
✨Understand the Company’s Projects
Research the organisation's current projects and initiatives in the assurance space. Being able to discuss how your skills can contribute to their ongoing work will show your genuine interest and help you stand out.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you've optimised model performance or deployed scalable solutions, and be ready to explain your thought process.
✨Emphasise Team Collaboration
Since the role involves working in a cross-functional team, be sure to highlight your collaborative experiences. Share examples of how you've effectively communicated and worked with others to integrate machine learning solutions.
