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- Tasks: Join a cutting-edge AI team to advance machine learning and build innovative tools.
- Company: US Tech Solutions, a global leader in talent solutions and workforce innovation.
- Benefits: Competitive pay, diverse work environment, and opportunities for professional growth.
- Why this job: Make a real impact in AI research and work with the latest technologies.
- Qualifications: 2+ years in ML/AI, strong Python skills, and experience with large-scale models.
- Other info: Exciting projects with potential for career advancement in a dynamic field.
The predicted salary is between 36000 - 60000 £ 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
- 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
- Experience in Generative AI / LLM research
- Master’s or PhD in Machine Learning or related field
Research Engineer employer: US Tech Solutions
Contact Detail:
US Tech Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer
✨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 a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in ML and AI. Whether it's GitHub repos or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML concepts. Practice coding challenges and be ready to discuss how you've tackled real-world problems with your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at US Tech Solutions.
We think you need these skills to ace Research Engineer
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 tackled challenges in the past!
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 from 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. This shows you’re not just familiar with the tech but can also apply it effectively.
✨Show Your Collaborative Spirit
Since the job involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve driven innovation through teamwork.
✨Think Impact
Be ready to explain how your technical insights have led to real-world applications or business impact. This is crucial for demonstrating that you understand the bigger picture and can contribute meaningfully to the team.
✨Ask Smart Questions
Prepare thoughtful questions about the team’s current projects or challenges they face in AI research. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.