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- Tasks: Design and deploy advanced AI/ML models to enhance innovative products.
- Company: Global technology leader in the UK with a focus on innovation.
- Benefits: Competitive compensation, benefits, and career growth opportunities.
- Why this job: Make a real impact by translating business needs into actionable AI solutions.
- Qualifications: Relevant degree, AI/ML experience, strong programming skills, and familiarity with machine learning frameworks.
- Other info: Collaborative environment with diverse disciplines for dynamic project work.
The predicted salary is between 28800 - 48000 £ per year.
A global technology leader in the UK is seeking a talented AI/ML Engineer to design and deploy advanced models that enhance innovative products. This role requires collaboration with multiple disciplines to translate business needs into actionable AI solutions.
Candidates should have a relevant degree and experience in AI/ML development, strong programming skills, and be familiar with popular machine learning frameworks.
Competitive compensation and benefits are offered along with career growth opportunities.
AI/ML Engineer: Build Real-World Models & Pipelines in Winnersh employer: Keysight Technologies
Contact Detail:
Keysight Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer: Build Real-World Models & Pipelines in Winnersh
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field on LinkedIn or attend industry meetups. Building connections can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it’s GitHub repos or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and coding challenges. Practising with friends or using online platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI/ML Engineer: Build Real-World Models & Pipelines in Winnersh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI/ML development. We want to see how your skills align with the job description, so don’t be shy about showcasing your programming prowess and familiarity with machine learning frameworks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how you can contribute to our innovative products. We love seeing candidates who can translate business needs into actionable solutions.
Showcase Your Projects: If you've worked on any real-world models or pipelines, make sure to mention them! We’re keen to see examples of your work that demonstrate your ability to design and deploy advanced models. Include links if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Keysight Technologies
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your experience with popular frameworks like TensorFlow or PyTorch, and have examples of projects where you've successfully deployed models.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you've translated business needs into actionable AI solutions. Think of specific instances where your work made a tangible impact, and be ready to explain your thought process during those projects.
✨Collaboration is Key
Since this role involves working with multiple disciplines, be prepared to talk about your teamwork experiences. Highlight any cross-functional projects you've been part of and how you effectively communicated complex technical concepts to non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current AI projects, team dynamics, or how they measure success in AI initiatives. This shows you're genuinely interested and engaged.
