Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Work on automation, AI, NLP & Data Visualisation for major corporates.
- Company: Join one of Europe’s leading Analytics software companies.
- Benefits: Enjoy mental health support, fitness sessions, and company retreats.
- Why this job: Be part of a talented team solving real-world problems in Risk Management & Cyber Security.
- Qualifications: Strong STEM degree, experience with Machine Learning Algorithms, and Python skills required.
- Other info: Apply easily by uploading your CV or Executive Bio.
The predicted salary is between 43200 - 72000 £ per year.
One of Europe’s most exciting Analytics software companies is looking to hire a Machine Learning Engineer.
If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you.
You will join a rapidly expanding team of experts providing valuable solutions to some of the world’s biggest organisations around Risk Management & Cyber Security.
- Strong STEM degree, ideally MSc level & above
- Good knowledge & Experience of Machine Learning Algorithms
- Strong Software Engineering skills – ideally Python
- Ability to articulate how you have solved complex problems in the past through technical solutions
You will join a hugely talented team of Machine Learning Engineers, and an employer committed to Employee wellbeing. Regular Mental health, fitness & yoga sessions are a part of the working day as well as regular company away days.
Apply now to the Machine Learning Engineer role by clicking on the link and uploading either your CV or an Executive Bio.
#J-18808-Ljbffr
Machine Learning Engineer employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in Machine Learning, especially in automation, AI, NLP, and data visualisation. Being able to discuss recent advancements or projects in these areas during your interview will show your passion and expertise.
✨Tip Number 2
Prepare to articulate specific examples of how you've solved complex problems using Machine Learning algorithms. Think about challenges you've faced and how your technical solutions made a difference, as this will demonstrate your practical experience.
✨Tip Number 3
Brush up on your Python skills, as strong software engineering capabilities are essential for this role. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities.
✨Tip Number 4
Research the company culture and values, particularly their commitment to employee wellbeing. Be ready to discuss how you value mental health and work-life balance, as this aligns with their focus on employee support.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Machine Learning, particularly any projects involving automation, AI, NLP, and data visualisation. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are passionate about Machine Learning and how your background aligns with the company's focus on risk management and cyber security. Mention your strong STEM degree and any relevant certifications.
Showcase Problem-Solving Skills: In your application, include examples of complex problems you've solved using technical solutions. Be specific about the algorithms and software engineering skills you employed, especially in Python.
Highlight Team Collaboration: Emphasise your ability to work within a team of experts. Mention any previous experiences where you collaborated on projects, particularly in fast-paced environments, to show you can thrive in their expanding team.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and software engineering, particularly in Python. Bring examples of projects where you've successfully implemented these skills, as this will demonstrate your technical proficiency.
✨Problem-Solving Examples
Think of specific instances where you've tackled complex problems using technical solutions. Be ready to articulate these experiences clearly, focusing on the challenges faced, your approach, and the outcomes achieved.
✨Understand the Company’s Focus
Research the company’s work in automation, AI, NLP, and data visualisation. Familiarise yourself with their products and how they relate to risk management and cyber security, as this knowledge will show your genuine interest in the role.
✨Emphasise Team Collaboration
Since you'll be joining a talented team, highlight your ability to work collaboratively. Share examples of how you've contributed to team projects and how you value teamwork in achieving common goals.
