AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site)
AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site)

AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site)

City of London Full-Time 28800 - 48000 £ / year (est.) No home office possible
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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.
  • 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.
  • Other info: Diverse and inclusive workplace committed to equal opportunities for all.

The predicted salary is between 28800 - 48000 £ per year.

Overview

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.

Benefits

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 by emailing human-resources@mlabs.city.

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 legal@mlabs.city.

Seniorit y level

  • Entry level

Employment type

  • Full-time

Job function

  • Other

Industries

  • IT Services and IT Consulting

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AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site) 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 and inclusive environment, competitive compensation, and ample growth prospects in cutting-edge technology fields. Whether you choose to work remotely or on-site, you'll be part of a forward-thinking team dedicated to pushing the boundaries of applied AI.
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Contact Detail:

MLabs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site)

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. We want to see what you can do, so make it easy for potential employers to check out your work.

✨Tip Number 3

Prepare for interviews by brushing up on common AI/ML questions and coding challenges. We recommend doing mock interviews with friends or using platforms that offer practice sessions. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to get direct access to all the latest AI/ML roles. We’re here to help you find the perfect fit, so take that step and get your application in!

We think you need these skills to ace AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site)

AI Development
Machine Learning
Large Language Models
Computer Vision
Data Processing
Statistical Analysis
Programming (Python, R, etc.)
Model Deployment
Algorithm Design
Collaboration Skills
Problem-Solving Skills
Adaptability
Communication Skills
Software Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the AI & ML roles you're applying for. Highlight relevant skills and experiences that match the job description. We want to see how you fit into the exciting world of AI!

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 machine learning, 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! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills.

Apply Through Our Website: For the best chance of success, apply directly through our website. This way, your application goes straight to us, and we can review it promptly. Plus, you'll get access to all the latest roles!

How to prepare for a job interview at MLabs

✨Know Your AI & ML Stuff

Make sure you brush up on the latest trends and technologies 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.

✨Showcase Your Projects

Prepare to discuss any relevant projects you've worked on. Whether it's a personal project or something from your previous job, be ready to explain your role, the challenges you faced, and the impact of your work.

✨Ask Smart Questions

Interviews are a two-way street! Prepare thoughtful questions about the company’s AI initiatives, team structure, and future projects. This shows your genuine interest and helps you assess if the company is the right fit for you.

✨Practice Problem-Solving

Expect technical questions or coding challenges during the interview. Brush up on your problem-solving skills and practice common algorithms or data structures that might come up. Being confident in your technical abilities can really set you apart!

AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site)
MLabs
Location: City of London
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  • AI & Machine Learning Engineer (Multiple Roles, Remote & On-Site)

    City of London
    Full-Time
    28800 - 48000 £ / year (est.)
  • M

    MLabs

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