At a Glance
- Tasks: Join innovative startups to develop AI and ML solutions that shape the future.
- Company: Work with top-tier startups like Poolside and Parallel in a dynamic environment.
- Benefits: Flexible remote work options, competitive pay, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace committed to equal opportunities for all.
- Why this job: Be at the forefront of technology and make a real impact in AI and ML.
- Qualifications: Passion for AI/ML and a willingness to learn; experience is a plus!
The predicted salary is between 28800 - 48000 £ per year.
We're recruiting AI & ML Engineers across some of the fastest-growing startups in the world — including Poolside, Parallel, Final Round AI, and Harmonic. These companies are building cutting-edge products across applied AI, large language models, computer vision, and beyond. Whether you're looking to join an early-stage team or contribute to a scaling company, we have roles that match a wide range of backgrounds and experience levels.
Apply to get direct access to our full live board of open AI/ML roles. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting us.
AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site) in London employer: MLabs
At MLabs, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among AI & Machine Learning Engineers. With opportunities to work with some of the fastest-growing startups globally, employees benefit from a diverse range of projects, professional growth, and a commitment to equality and accessibility in the workplace. Our remote and on-site roles provide flexibility and the chance to contribute to cutting-edge technology in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site) in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space, whether it's through LinkedIn or industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to applied AI and machine learning. We want to see what you can do, so make sure your work is easily accessible and highlights your best achievements.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and practical tests. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Apply through our website for direct access to a variety of roles. We’ve got a live board of open positions that are just waiting for talented individuals like you. Don’t miss out on the chance to connect with some of the fastest-growing startups!
We think you need these skills to ace AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the specific AI & ML roles you're applying for. Highlight relevant skills and experiences that align with the job description, so we can see how you fit into our exciting projects.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and ML, and how your background makes you a great fit for the role. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any AI or ML projects, make sure to mention them in your application. Whether it's a personal project or something from your previous job, we love to see what you've been up to in the field!
Apply Through Our Website:For the best chance of success, apply directly through our website. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, you'll have access to all our live AI/ML roles!
How to prepare for a job interview at MLabs
✨Know Your AI & ML Stuff
Make sure you brush up on the latest trends in AI and machine learning. Familiarise yourself with concepts like large language models and computer vision, as these are hot topics in the industry right now. Being able to discuss recent advancements or projects you've worked on will show your passion and expertise.
✨Tailor Your Portfolio
When applying for roles, customise your portfolio to highlight relevant projects that align with the specific job description. If you're applying to a startup focused on applied AI, showcase your work in that area. This will help you stand out and demonstrate that you're a perfect fit for their needs.
✨Prepare for Technical Questions
Expect technical questions during your interview, so practice coding challenges and problem-solving scenarios related to AI and ML. Websites like LeetCode or HackerRank can be great resources. Being well-prepared will boost your confidence and help you tackle those tricky questions with ease.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the company’s projects, culture, or future plans. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
