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For Companies At a Glance
- Tasks: Join a cutting-edge AI team to advance machine learning and design next-gen tools.
- Company: US Tech Solutions, a global leader in talent solutions.
- Benefits: Competitive pay, diverse work environment, and opportunities for growth.
- Why this job: Make a real impact in AI research and innovation.
- Qualifications: 2+ years in ML/AI, strong Python skills, and a relevant degree.
- Other info: Collaborative culture with exciting projects and career advancement.
The predicted salary is between 28800 - 43200 £ per year.
Contract Duration - 6 months
We are looking for talented Research Engineers to join a cutting-edge AI research team focused on advancing machine learning systems and large language models.
What You’ll Do
- Conduct advanced research in machine learning systems
- Design tools and infrastructure for next-gen LLMs
- Collaborate with cross-functional teams to drive innovation
- Build, test, and scale AI models and experiments
- Contribute to impactful research and real-world applications
What We’re Looking For
- 2+ years of experience in ML, AI, recommendation systems, or related fields
- Strong Python skills with frameworks like PyTorch
- Experience working with large-scale AI models and datasets
- Ability to translate technical insights into business impact
- Bachelor’s degree in CS/Engineering or equivalent experience
Nice to Have
- Experience in Generative AI / LLM research
- Master’s or PhD in Machine Learning or related field.
Research Engineer in City of London employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, especially those who work at US Tech Solutions. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, PyTorch, or any relevant ML work. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as this is key in translating technical insights into business impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Research Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI research and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since we're looking for strong Python skills and experience with frameworks like PyTorch, make sure to mention specific projects where you've used these technologies. We want to know how you’ve applied your knowledge 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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at US Tech Solutions
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and tools, especially Python and PyTorch. Be ready to discuss your past projects and how they relate to the role, as this will show your expertise and passion for the field.
✨Showcase Collaboration Skills
Since the job involves working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you drove innovation or contributed to impactful research, as this will demonstrate your ability to work well with others.
✨Prepare for Technical Questions
Expect some technical questions related to AI models and datasets. Practice explaining complex concepts in simple terms, as this will help you translate technical insights into business impact, which is a key requirement for the role.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team’s current projects or future goals. This shows your genuine interest in the position and helps you assess if the company aligns with your career aspirations.