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- Tasks: Develop AI and automation solutions for major corporations in Risk Management and Cyber Security.
- Company: Exciting Analytics software company with a focus on innovation and employee wellbeing.
- Benefits: Competitive salary, mental health support, fitness sessions, and team-building activities.
- Why this job: Join a talented team and work on impactful projects using cutting-edge machine learning technologies.
- Qualifications: Strong STEM degree, experience with machine learning algorithms, and solid software engineering skills.
- Other info: Dynamic work environment with a commitment to employee wellness and career growth.
The predicted salary is between 30000 - 50000 £ per year.
One of Europe’s most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If you are 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.
Machine Learning Engineer in London employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. Ask them about their experiences and any tips they might have for landing the Machine Learning Engineer role. It’s all about making connections!
✨Tip Number 2
Prepare for technical interviews by brushing up on your machine learning algorithms and software engineering skills. We recommend doing mock interviews with friends or using online platforms to simulate the real deal. Practice makes perfect!
✨Tip Number 3
Showcase your problem-solving skills! Be ready to discuss specific examples of how you’ve tackled complex challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re all about supporting our candidates, so you’ll be in good hands throughout the process.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Machine Learning expertise and relevant experience. We want to see how your skills align with the role, so don’t be shy about showcasing your projects in AI, NLP, and data visualisation!
Showcase Problem-Solving Skills: In your application, give us examples of how you've tackled complex problems using technical solutions. We love to see your thought process and how you’ve applied your knowledge in real-world scenarios.
Keep It Professional Yet Personal: While we appreciate a professional tone, don’t hesitate to let your personality shine through. A bit of authenticity can go a long way in making your application stand out from the crowd!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application, and it ensures you’re considered for this exciting opportunity with our talented team!
How to prepare for a job interview at Wyatt Partners
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms. Be ready to discuss specific algorithms you've used in past projects and how they contributed to solving complex problems. This shows your expertise and ability to apply theoretical knowledge practically.
✨Showcase Your Software Skills
Since strong software engineering skills are crucial, prepare to demonstrate your proficiency in Python. You might be asked to solve coding challenges or explain your code from previous projects, so practice articulating your thought process clearly.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities. Think about past challenges you've faced and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Emphasise Team Collaboration
This role involves working with a talented team, so highlight your experience in collaborative environments. Share examples of how you've worked with others to achieve common goals, especially in high-pressure situations related to risk management or cyber security.