At a Glance
- Tasks: Join a cutting-edge AI team to advance machine learning systems and build intelligent agents.
- Company: Innovative tech company in London with a focus on AI research.
- Benefits: Hybrid work model, competitive pay, and opportunities for contract extension.
- Other info: Dynamic environment with potential for career growth and impactful projects.
- Why this job: Work with world-class researchers and push the boundaries of AI technology.
- Qualifications: 2+ years in machine learning, strong Python skills, and experience with ML frameworks.
The predicted salary is between 36000 - 60000 £ per year.
Location: London, UK (hybrid, 3 days onsite)
Contract: 6 months (extension possible)
About the Role
We are looking for a Software Engineer III (Machine Learning / Research Engineering) to join a cutting-edge AI research team based in London. This role focuses on advancing large-scale machine learning systems and building next-generation intelligent agents. You’ll work alongside world-class researchers and engineers on innovative projects aimed at pushing the boundaries of AI and automation.
Key Responsibilities
- Conduct advanced research in machine learning systems and AI
- Design and develop tools, infrastructure, and methods for large language models (LLMs)
- Build and optimise intelligent agents for automation and research workflows
- Collaborate with cross-functional teams to define and execute research roadmaps
- Translate research insights into scalable engineering solutions
- Implement high-quality code using Python and modern ML frameworks
- Contribute to experimental design and evaluation of large-scale AI models
Minimum Requirements
- 2+ years of experience in machine learning, AI, or related fields
- Strong programming skills in Python
- Hands-on experience with frameworks such as PyTorch
- Experience working with large datasets and machine learning models at scale
- Ability to design and run complex experiments
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Preferred Qualifications
- Experience in generative AI or large language models
- Exposure to LLM training, fine-tuning, or post-training techniques
- Research-focused Master’s or PhD in a relevant field
- Background in mathematics, physics, or related disciplines
Machine Learning Research Engineer in London employer: US TECH SOLUTIONS LIMITED
Join our innovative AI research team in London, where you'll collaborate with leading experts to push the boundaries of machine learning and automation. We offer a dynamic work culture that fosters creativity and professional growth, alongside competitive benefits and a hybrid working model that promotes work-life balance. With opportunities for continuous learning and development, this role is perfect for those looking to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python and frameworks like PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning Research Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Research Engineer role. Highlight your experience with Python, machine learning frameworks like PyTorch, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any specific projects or experiences that relate to the role.
Showcase Your Projects:If you've worked on any interesting machine learning projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to apply directly!
How to prepare for a job interview at US TECH SOLUTIONS LIMITED
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and frameworks, 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 theory but can also apply it practically.
✨Showcase Your Research Skills
Since this role involves advanced research, be prepared to talk about your experience with designing experiments and evaluating AI models. Bring examples of how you've contributed to research in the past, and don’t shy away from discussing any challenges you faced and how you overcame them.
✨Collaboration is Key
This position requires working with cross-functional teams, so highlight your teamwork skills. Share experiences where you collaborated with others to achieve a common goal, especially in a tech or research setting. It’s all about showing you can communicate effectively and work well with diverse groups.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team’s current projects or future directions in AI research. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
