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- Tasks: Join a dynamic team to develop cutting-edge ML/AI products in a start-up environment.
- Company: Be part of an innovative London start-up focused on security technology.
- Benefits: Enjoy hybrid working, competitive salary, and equity in the business.
- Why this job: Shape the future of tech with experts while working on exciting projects.
- Qualifications: 2+ years in AI software development; STEM degree preferred; programming skills required.
- Other info: Inclusive recruitment process; opportunities for diverse candidates.
The predicted salary is between 48000 - 72000 £ per year.
A brilliant opportunity for a Machine Learning focussed Software Engineer with knowledge within LLMs, Audio & Computer Vision to join an incredibly exciting start-up in London, which is currently in stealth mode developing exciting technology in the security space. Joining a company founded by experts in their field, who have already realised success with other start-ups, this offers the chance to work in an environment filled with technological innovation whilst working on a cutting-edge tech stack. This is a unique opportunity to join at this early stage, receiving equity in the business, while helping shape and develop the products during this innovative R&D stage.
Location: Central London, UK – hybrid working
Salary: £60,000 - £90,000 per annum + equity in the business
Requirements for ML/AI Software Engineer
- At least 2 years of commercial experience in an Artificial Intelligence Software Development role with knowledge in LLMs, Computer Vision and Audio.
- Ideally you will be educated to Ph.D. level OR you have worked in a start-up environment
- Excellent academic history including 2.1 or first class STEM degree and at least AAB at A Level (or equivalent)
- Proficient in programming - their current stack includes C++, Go, Python and AWS - ideally you'll have exposure to these, but open to those willing to quickly pick up new languages
- Strong problem-solving ability
- Keen to work in an R&D start-up environment (opposed to a large corp)
Responsibilities for ML/AI Software Engineer
- Exciting early-stage development of prototyping products within a growing R&D team
- Design & Development of Machine Learning / Artificial Intelligence / Computer Vision-related video & audio software
- Looking at the current / latest models and how they will work within the product roadmap
- Optimise code
- Working in an environment focussed on continuous improvement
What this offers:
- An opportunity to join a success story in the making with a team who have realised big success in other start-ups
- Working on a cutting-edge stack in a highly innovative environment
- Great remuneration and equity in the business
Applications: If you would like to enquire about this unique Software Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of your online repository via the relevant link. We're committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing.
ML/AI Software Engineer employer: RedTech Recruitment Ltd
Contact Detail:
RedTech Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML/AI Software Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs, Computer Vision, and Audio processing. Being able to discuss recent developments or breakthroughs in these areas during your interview can demonstrate your passion and knowledge, making you a standout candidate.
✨Tip Number 2
Engage with the start-up community in London. Attend meetups, workshops, or tech talks related to AI and machine learning. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Showcase your coding skills by contributing to open-source projects or creating your own projects that utilise C++, Go, or Python. Having a strong portfolio can help you demonstrate your practical experience and problem-solving abilities effectively.
✨Tip Number 4
Prepare to discuss your experience in R&D environments. Be ready to share examples of how you've contributed to innovative projects or tackled complex problems, as this will align well with the company's focus on continuous improvement and cutting-edge technology.
We think you need these skills to ace ML/AI Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning, LLMs, Computer Vision, and Audio. Emphasise any relevant projects or roles that showcase your skills in these areas.
Showcase Your Technical Skills: Include specific programming languages and technologies you are proficient in, such as C++, Go, Python, and AWS. If you have experience with any of these, be sure to mention it clearly.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are excited about this opportunity and how your background aligns with the company's focus on innovation in the security space. Highlight your problem-solving abilities and eagerness to work in an R&D environment.
Provide Evidence of Your Work: If you have an online repository or portfolio showcasing your projects, include the link in your application. This will give the hiring team insight into your practical skills and experience.
How to prepare for a job interview at RedTech Recruitment Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like C++, Go, and Python. Highlight any projects you've worked on that involved LLMs, Computer Vision, or Audio processing, as these are key areas for the role.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, as this will showcase your analytical skills and ability to think critically in an R&D environment.
✨Familiarise Yourself with the Company’s Focus
Research the latest trends in security technology and how machine learning can be applied. Understanding the company's mission and the innovative products they are developing will help you align your answers with their goals.
✨Prepare Questions About the Role
Think of insightful questions to ask about the team dynamics, the technology stack, and the company culture. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
