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- Tasks: Join us to develop cutting-edge ML models for video content analysis and classification.
- Company: We're a forward-thinking tech company focused on innovative ML solutions.
- Benefits: Enjoy fully remote work with a competitive rate of £400 a day.
- Why this job: Be part of a dynamic team shaping the future of video processing technology.
- Qualifications: Mid-level candidates with 3-5 years in Python ML frameworks and NLP/LLM experience are preferred.
- Other info: Flexible start date; ideal for self-sufficient and reliable individuals.
The predicted salary is between 60000 - 84000 £ per year.
Our Client is building capability in cutting-edge ML, with a focus on LLM-based video processing – aiming to understand and classify video content using advanced models.Looking for talent with hands-on experience in video analysis and natural language understanding.
- Rate: £400 a day/ Including Agency Fee
- Location: Fully Remote
- Start Date: Flexible
Ideal Profile:
- Python
- ML frameworks (e.g. TensorFlow)
- NLP/LLM experience
- Cloud platforms (any major provider: GCP, AWS, Azure)
- Seniority: Mid-level (ideally 3-5 years of experience; up to 8 years acceptable)
- Must be competent, reliable, and self-sufficient
ML/ Computer Vision Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML/ Computer Vision Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with video analysis in your discussions. Prepare specific examples of projects where you've successfully implemented ML techniques for video processing, as this will demonstrate your practical skills.
✨Tip Number 2
Familiarise yourself with the latest advancements in LLMs and their applications in video content classification. Being able to discuss recent trends or breakthroughs can set you apart during interviews and show your passion for the field.
✨Tip Number 3
Since the role is fully remote, emphasise your ability to work independently and manage your time effectively. Share examples of how you've successfully collaborated with teams remotely, highlighting your communication skills.
✨Tip Number 4
Brush up on your knowledge of cloud platforms like GCP, AWS, or Azure. Be prepared to discuss how you've utilised these platforms in previous projects, as this is a key requirement for the role.
We think you need these skills to ace ML/ Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python ML frameworks, particularly TensorFlow. Include specific projects or roles where you've worked on video analysis and natural language understanding to demonstrate your relevant skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your hands-on experience with ML and video processing, and how it aligns with their focus on LLM-based video content classification.
Showcase Relevant Projects: If you have any projects that involved cloud platforms like GCP, AWS, or Azure, be sure to mention them. Provide links to your work or a portfolio if possible, as this can set you apart from other candidates.
Highlight Soft Skills: Since the ideal candidate should be competent, reliable, and self-sufficient, include examples in your application that showcase these traits. Mention instances where you took initiative or worked independently to solve problems.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python ML frameworks like TensorFlow. Bring examples of projects where you've implemented video analysis or natural language understanding, as this will demonstrate your capability in the specific areas the company is focusing on.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with cloud platforms, make sure you can talk about your experience with any major provider such as GCP, AWS, or Azure. Highlight specific projects where you utilised these platforms to enhance your ML models.
✨Understand the Company’s Focus
Research the company's work in LLM-based video processing. Understanding their goals and challenges will allow you to tailor your responses and show that you're genuinely interested in contributing to their mission.
✨Demonstrate Reliability and Self-Sufficiency
As they are looking for someone competent and self-sufficient, be ready to provide examples of how you've successfully managed projects independently. Discuss how you approach problem-solving and decision-making in your work.