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- Tasks: Join a dynamic team to develop and deploy cutting-edge machine learning models.
- Company: Be part of a Microsoft-backed AI startup revolutionising the tech landscape.
- Benefits: Enjoy hybrid remote work with occasional travel to Silicon Valley for collaboration.
- Why this job: Work alongside industry leaders on groundbreaking projects that shape the future of AI.
- Qualifications: Degree in Computer Science/Maths or relevant experience in an AI startup required.
- Other info: Opportunity to collaborate with top researchers and stay ahead in ML advancements.
The predicted salary is between 28800 - 48000 £ per year.
Remote (UK only)
Ideally, you'll possess a degree in Computer Science / Mathematics (or similar) from a top university and/or have worked for an AI native or AI focused business.
Better Placed Tech has partnered with a Microsoft backed AI business that is close to securing a major seed round from a leading AI VC. They’re working on cutting edge technologies that are revolutionizing the AI landscape. Now is the time for another ML Engineer to come on board and be a key part of the UK team.
This role is fully remote, but it would be good if you are open to travelling to Silicon Valley 1-2 times per year for collaboration.
You’ll be a talented, motivated or aspiring ML Engineer with either a top Uni degree in Maths/CS or 6-18 months experience in a native AI start up. As a key UK hire, you will work on training next gen models alongside an established US team.
Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML.
- Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models.
- Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools.
- Conduct research and implementation on the development, training, and deployment of large language models, with a willingness to work on both pre-training and post-training (fine-tuning, alignment, optimization) processes.
- Collaborate closely with US researchers teams to build, optimize, and maintain data sets and scalable training and data pipelines for LLMs.
- Design and implement systems for reproducibility and traceability in data preparation.
- Stay current with advancements in machine learning, NLP, and AI, and bring them to future projects.
This is a truly unique opportunity to work with some of the brightest minds in the industry on a ground-breaking project. For a confidential discussion, please apply with an up to date CV.
Machine Learning Engineer - Hybrid Remote employer: Better Placed Ltd - A Sunday Times Top 10 Employer!
Contact Detail:
Better Placed Ltd - A Sunday Times Top 10 Employer! Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Hybrid Remote
✨Tip Number 1
Network with professionals in the AI and machine learning field. Attend relevant meetups, webinars, or conferences to connect with industry experts and learn about potential job openings. Engaging with the community can provide valuable insights and may lead to referrals.
✨Tip Number 2
Showcase your projects on platforms like GitHub or personal websites. Highlight any machine learning models you've developed, especially those using frameworks like TensorFlow or PyTorch. This not only demonstrates your skills but also gives potential employers a glimpse of your hands-on experience.
✨Tip Number 3
Stay updated with the latest trends in machine learning and NLP. Follow influential researchers and organisations on social media, read relevant blogs, and participate in online courses. Being knowledgeable about current advancements will help you stand out during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and machine learning problems. Use platforms like LeetCode or HackerRank to sharpen your skills. Familiarity with common algorithms and data structures will boost your confidence and performance during the interview process.
We think you need these skills to ace Machine Learning Engineer - Hybrid Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly any work with NLP or AI-focused projects. Emphasise your programming skills in Python and familiarity with frameworks like TensorFlow and PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and AI. Mention specific projects or experiences that align with the job description, especially those involving MLOps practices and large language models.
Highlight Your Education: If you have a degree in Computer Science, Mathematics, or a related field, make sure to mention it prominently. If you attended a top university, include this information to strengthen your application.
Show Enthusiasm for Collaboration: Express your willingness to travel to Silicon Valley for collaboration. Highlight any previous experiences working in teams or remote settings, as this role involves close collaboration with US researchers.
How to prepare for a job interview at Better Placed Ltd - A Sunday Times Top 10 Employer!
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any machine learning frameworks you've worked with, such as TensorFlow or PyTorch. Bring examples of projects where you've applied MLOps best practices, as this will demonstrate your hands-on experience.
✨Understand the Company’s Vision
Research the AI business you’re interviewing with, especially their focus on cutting-edge technologies. Understanding their goals and how they align with your skills will help you articulate why you're a great fit for the team.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with US teams, think of examples from your past experiences where you successfully collaborated with others. Be ready to discuss how you handle remote teamwork and communication.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in machine learning and NLP. Being able to discuss recent developments or breakthroughs can set you apart and show your passion for the field.
