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- Tasks: Lead AI and Computer Vision projects, mentor team members, and analyse data.
- Company: Top-tier technology consulting firm with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Master's or PhD in a quantitative field and strong Python/SQL skills.
- Other info: Ideal for experienced professionals looking to make an impact.
The predicted salary is between 60000 - 84000 £ per year.
A leading technology consulting firm is seeking a Research Engineer with expertise in Machine Learning, AI, and Computer Vision. This full-time position requires 12+ years of experience in building models and manipulating datasets.
Responsibilities include:
- Data collection
- Analysis
- Reporting
- Mentoring team members
Ideal candidates should possess a Master's or PhD in a relevant quantitative field and strong programming skills in Python and SQL. This role emphasizes leadership and problem-solving within technology-focused environments.
Senior AI & Computer Vision Engineer: ML/NLP & Cloud employer: Information Tech Consultants
Contact Detail:
Information Tech Consultants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI & Computer Vision Engineer: ML/NLP & Cloud
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in AI and Computer Vision. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Machine Learning and Computer Vision. This is your chance to demonstrate your expertise and problem-solving abilities, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python and SQL, and think of examples where you've led teams or solved complex problems. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior AI & Computer Vision Engineer: ML/NLP & Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning, AI, and Computer Vision. We want to see how your 12+ years of expertise align with the role, so don’t hold back on showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this position and how your background makes you the perfect fit. We love seeing candidates who can connect their skills to our mission.
Show Off Your Programming Skills: Since strong programming skills in Python and SQL are key for this role, make sure to mention specific projects where you’ve used these languages. We’re keen to see how you’ve applied your technical know-how in real-world scenarios.
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 the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Information Tech Consultants
✨Showcase Your Expertise
Make sure to highlight your 12+ years of experience in Machine Learning, AI, and Computer Vision. Prepare specific examples of projects you've worked on, especially those involving model building and dataset manipulation, as this will demonstrate your hands-on expertise.
✨Brush Up on Technical Skills
Since strong programming skills in Python and SQL are crucial for this role, we recommend reviewing key concepts and being ready to discuss your coding experience. You might even want to practice solving a few coding challenges to keep your skills sharp.
✨Prepare for Leadership Questions
Given the emphasis on leadership and mentoring, be prepared to discuss your experience in guiding teams. Think of specific instances where you’ve led a project or mentored a colleague, and how that contributed to the team's success.
✨Demonstrate Problem-Solving Skills
This role requires strong problem-solving abilities, so be ready to tackle hypothetical scenarios during the interview. Practice articulating your thought process clearly, as interviewers will be looking for how you approach challenges in technology-focused environments.
