Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop cutting-edge algorithms and mentor junior team members in a dynamic startup environment.
- Company: Join an innovative Machine Learning startup with exceptional growth and a strong first-mover advantage.
- Benefits: Enjoy a competitive salary, equity package, and the chance to shape the future of AI solutions.
- Why this job: Be part of a pioneering team tackling real-world problems with advanced technology and a collaborative culture.
- Qualifications: Top-tier academic background in Machine Learning, AI, or Computer Science with relevant experience required.
- Other info: Opportunity to quickly advance to 'Head of Machine Learning' as the company grows.
The predicted salary is between 43200 - 72000 £ per year.
Wyatt Partners are working with the founders of an innovative Machine Learning startup to hire an experienced Machine Learning Engineer. They see the Senior Machine Learning Engineer quickly developing into the ‘Head of Machine Learning’ as the team & company grow over the coming year. The company has experienced exceptional growth in the last 2 years in terms of personnel and investment from leading institutions. Their AI solution addresses a traditional problem faced by various industries, offering a strong first-mover advantage with no natural competitors.
The current tech stack includes: Python, TensorFlow, Keras, PyTorch, and scikit-learn.
The Senior Machine Learning Engineer will be responsible for:
- Developing cutting-edge algorithms
- Building data management pipelines to automate updates of core algorithms
- Productionizing the company's Machine Learning solutions
- Mentoring junior Machine Learning team members
We are seeking an individual with a top-tier academic background in Machine Learning, AI, or Computer Science, with experience in developing, building, and deploying ML & AI applications at scale. The company offers a competitive base salary and an equity package. Apply now for the Senior Machine Learning Engineer role.
Senior Machine Learning Engineer – Python / Tensorflow / Keras / Pytorch / scikit-learn employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer – Python / Tensorflow / Keras / Pytorch / scikit-learn
✨Tip Number 1
Network with professionals in the Machine Learning field. Attend meetups, webinars, or conferences where you can connect with industry experts and learn about the latest trends. This can help you gain insights into what companies like ours are looking for in candidates.
✨Tip Number 2
Showcase your projects on platforms like GitHub. Having a portfolio of your work, especially projects that utilise Python, TensorFlow, Keras, or PyTorch, can demonstrate your practical skills and experience to us. Make sure to highlight any innovative solutions you've developed.
✨Tip Number 3
Engage with the Machine Learning community online. Participate in forums, contribute to discussions, and share your knowledge on platforms like LinkedIn or Stack Overflow. This not only builds your reputation but also keeps you updated on industry standards and practices.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm problems relevant to Machine Learning. Familiarise yourself with common interview questions related to Python and the frameworks mentioned in the job description. This will boost your confidence and performance during the interview process.
We think you need these skills to ace Senior Machine Learning Engineer – Python / Tensorflow / Keras / Pytorch / scikit-learn
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, TensorFlow, Keras, PyTorch, and scikit-learn. Include specific projects or roles where you developed and deployed machine learning applications.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience in mentoring and developing algorithms.
Showcase Relevant Projects: Include a portfolio or links to relevant projects that demonstrate your skills in machine learning. Highlight any innovative solutions you've developed and the impact they had on previous employers.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms and frameworks. Be ready to discuss your problem-solving approach and how you've tackled challenges in past projects.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, TensorFlow, Keras, PyTorch, and scikit-learn in detail. Bring examples of projects you've worked on that demonstrate your ability to develop and deploy machine learning models at scale.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, as this will showcase your analytical skills and how you approach algorithm development.
✨Highlight Mentorship Experience
Since the role involves mentoring junior team members, be ready to share your experiences in guiding others. Discuss specific instances where you helped someone grow their skills or contributed to a team's success.
✨Research the Company and Its Solutions
Understand the company's AI solution and the traditional problem it addresses. This knowledge will allow you to ask insightful questions and demonstrate your genuine interest in the role and the company's mission.
