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- Tasks: Research and apply cutting-edge ML algorithms for advanced network orchestration.
- Company: Join a leading tech firm focused on innovative networking solutions.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by solving critical challenges in network orchestration with AI.
- Qualifications: Master's or Ph.D. in a quantitative field and expertise in Python and ML frameworks.
- Other info: Dynamic role with opportunities to engage directly with customers and partners.
The predicted salary is between 48000 - 72000 ÂŁ per year.
We are seeking a highly experienced Machine Learning Engineer for a hybrid role focused on advanced temporospatial networking and resource management. This role involves applying cuttingâedge ML research to solve critical network orchestration challenges. If you excel at translating novel algorithms into robust, highâimpact systems, this is your opportunity.
Key Responsibilities
- ML Research: Research and apply stateâofâtheâart ML and optimization algorithms for network orchestration.
- MLOps & Infra: Develop and maintain ML training infrastructure using Kubernetes and advanced MLOps tooling.
- System Integration: Integrate AI technology with core platform components, ensuring endâtoâend functionality.
- Technical Authority: Act as the technical expert on ML technologies, interacting directly with customers and partners.
- Documentation: Develop and maintain documentation for novel algorithms.
Required Qualifications
- Education: Master's or Ph.D. in CS, Math, Statistics, or a related quantitative field.
- ML/Optimization Fluency: Expertise in Python and proficiency with PyTorch, TensorFlow or optimization libraries (Gurobi, Google OR tools).
- Code Quality: Ability to write clean, maintainable, and efficient production code.
- Communication: Strong technical communication skills across all functions.
- Impact Drive: Desire to pitch and advocate for the technology.
Preferred Experience
- Experience in wireless/satellite communications or SoftwareâDefined Networking (SDN).
- Prior experience in a technical sales or customerâfacing role.
- Experience writing tests for software and ML algorithms.
- Proficiency with C, C++, or Go.
Machine Learning Engineer - UK in London employer: CyRAD Solutions
Contact Detail:
CyRAD Solutions Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Machine Learning Engineer - UK in London
â¨Tip Number 1
Network, network, network! Get out there and connect with professionals in the machine learning field. Attend meetups, webinars, or conferences to meet potential employers and learn about job openings that might not be advertised.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML algorithms and system integration. This will give you an edge and demonstrate your hands-on experience to potential employers.
â¨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of MLOps tools. Practice common ML problems and be ready to discuss your thought process and solutions during interviews.
â¨Tip Number 4
Donât forget to apply through our website! We have a range of exciting opportunities, and applying directly can sometimes give you a better chance of landing that dream job. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Machine Learning Engineer - UK in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your experience with ML research and MLOps. We want to see how your skills align with the role, so donât be shy about showcasing your expertise in Python and any relevant libraries.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre passionate about advanced network orchestration and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool projects related to ML or network orchestration, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss out on any important updates from our team!
How to prepare for a job interview at CyRAD Solutions
â¨Know Your Algorithms
Brush up on the latest ML and optimisation algorithms relevant to network orchestration. Be ready to discuss how you've applied these in past projects, as this will show your depth of knowledge and practical experience.
â¨Showcase Your MLOps Skills
Familiarise yourself with Kubernetes and any advanced MLOps tools you've used. Prepare examples of how you've developed or maintained ML training infrastructure, as this is crucial for the role.
â¨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since strong communication skills are essential, think of ways to convey your ideas effectively, especially when discussing integration with core platform components.
â¨Prepare for Customer Interaction
Since the role involves direct interaction with customers and partners, be ready to discuss your experience in technical sales or customer-facing roles. Think of scenarios where you successfully pitched technology solutions and how you handled feedback.