Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 fully 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: Master's in Computer Science or related field, with 2-5 years in an AI startup.
- Other info: Opportunity to mentor junior members and stay at the forefront of AI advancements.
The predicted salary is between 48000 - 84000 £ 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 ML Engineer with either a top Uni degree in Maths/CS and 2-5 years’ 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.
- Mentoring, interviewing and training junior members.
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.
Contact Detail:
Better Placed Ltd - A Sunday Times Top 10 Employer! Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (M/F/D)
✨Tip Number 1
Network with professionals in the AI and machine learning community. Attend relevant meetups, webinars, or conferences to connect with others in the field. This can help you learn about job openings and get referrals.
✨Tip Number 2
Showcase your projects on platforms like GitHub or personal websites. Highlight any work related to NLP or ML that demonstrates your skills and experience. This will give potential employers a tangible sense of your capabilities.
✨Tip Number 3
Stay updated on the latest trends and advancements in machine learning and AI. Follow industry leaders on social media and read relevant research papers. This knowledge can be a great conversation starter during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems. Focus on MLOps best practices and be ready to discuss your experience with model deployment and cloud technologies.
We think you need these skills to ace Senior Machine Learning Engineer (M/F/D)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, particularly any work with NLP or large language models. Emphasise your programming skills in Python and familiarity with frameworks like TensorFlow and PyTorch.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or technologies that excite you and how your background aligns with their needs, especially your experience in AI-focused environments.
Showcase Your Skills: Include examples of your work with MLOps best practices, such as model versioning and CI/CD pipelines. If possible, provide links to projects or repositories that demonstrate your expertise in building and deploying machine learning models.
Highlight Collaboration Experience: Since the role involves working closely with US teams, mention any previous experiences where you collaborated with remote teams or across different time zones. This will show your ability to work effectively in a distributed environment.
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 your experience with machine learning frameworks like TensorFlow and PyTorch. Bring examples of projects where you've implemented 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 recent projects and innovations. Understanding their goals and how they fit into the broader AI landscape will help you articulate how you can contribute to their mission.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with US teams, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with remote teams or across different time zones.
✨Demonstrate Your Passion for AI
Stay current with advancements in machine learning and NLP. Be prepared to discuss recent trends or breakthroughs in the field and how they could impact future projects. This shows your enthusiasm and commitment to continuous learning.
