At a Glance
- Tasks: Join us to develop cutting-edge ML models for video content analysis and classification.
- Company: Be part of a forward-thinking company revolutionising video processing with advanced technology.
- Benefits: Enjoy the flexibility of fully remote work and competitive pay at £400 a day.
- Other info: Start date is flexible, allowing you to join when it suits you best.
- Why this job: Work on innovative projects that blend AI and video, making a real impact in tech.
- Qualifications: Ideal candidates have 3-5 years in Python ML frameworks and NLP/LLM experience.
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 in Manchester employer: Harnham
Our Client is an exceptional employer, offering a fully remote work environment that promotes flexibility and work-life balance. With a strong focus on cutting-edge machine learning and video processing, employees are encouraged to grow their skills in advanced technologies while collaborating with a talented team. The company values innovation and provides ample opportunities for professional development, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land ML/ Computer Vision Engineer in Manchester
✨Tip Number 1
Make sure to showcase your hands-on experience with video analysis and natural language understanding in any conversations you have. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical knowledge.
✨Tip Number 2
Familiarise yourself with the latest advancements in ML and LLMs, especially those related to video processing. Being able to discuss recent trends or breakthroughs can set you apart and show your passion for the field.
✨Tip Number 3
Network with professionals in the ML and computer vision space. Join relevant online communities or forums where you can engage with others, share insights, and potentially get referrals that could help you land the job.
✨Tip Number 4
Since the role is fully remote, emphasise your ability to work independently and manage your time effectively. Share examples of how you've successfully completed projects remotely to reassure potential employers of your self-sufficiency.
We think you need these skills to ace ML/ Computer Vision Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python ML frameworks, video analysis, and natural language processing. Use specific examples to demonstrate your hands-on experience in these areas.
Craft a Compelling Cover Letter:In your cover letter, explain why you're interested in the role and how your skills align with the company's focus on LLM-based video processing. Mention any relevant projects or achievements that showcase your expertise.
Showcase Relevant Projects:If you have worked on projects involving video content classification or NLP, include them in your application. Briefly describe the challenges you faced and how you overcame them using your technical skills.
Highlight Cloud Experience:Since the role requires familiarity with cloud platforms, make sure to mention any experience you have with GCP, AWS, or Azure. Detail how you've used these platforms in your previous work to enhance your ML projects.
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 you've worked on, especially those involving video analysis and natural language understanding.
✨Familiarise Yourself with LLMs
Since the role focuses on LLM-based video processing, brush up on your knowledge of large language models. Be ready to explain how you have applied NLP techniques in previous projects.
✨Cloud Platform Proficiency
Make sure you can talk about your experience with cloud platforms such as GCP, AWS, or Azure. Highlight any specific projects where you utilised these services for machine learning tasks.
✨Demonstrate Reliability and Independence
As the ideal candidate should be competent and self-sufficient, prepare to share examples of how you've successfully managed projects independently. This will show that you can thrive in a fully remote environment.
