Machine Learning Engineer Apply now
Machine Learning Engineer

Machine Learning Engineer

London Full-Time 28800 - 48000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Join a new Machine Learning team to build tools for AI model training and evaluation.
  • Company: Be part of one of Europe’s fastest-growing AI start-ups focused on innovative technology.
  • Benefits: Enjoy flexible, hybrid work options and a supportive team culture.
  • Why this job: Contribute to cutting-edge AI projects in a fast-evolving environment with room for growth.
  • Qualifications: Experience as a Machine Learning Engineer or Data Scientist with solid Python skills required.
  • Other info: Familiarity with cloud infrastructure and MLE tools is a plus; apply now to transform the future!

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

Machine Learning Engineer

A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation.

This is a chance to be part of a brand new Machine Learning team within one of Europe’s fastest-growing AI start-ups. They’re on a mission to develop innovative, cutting-edge AI products, pushing the boundaries of technology to deliver scalable solutions.

The team is based across offices in Barcelona or Madrid and gives the chance to be at the forefront of developing the intelligence behind these AI products. You will be building tools for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes.

Responsibilities:

  1. Build tools for model training and evaluation.
  2. Collaborate with Data Scientists and Engineers to deploy solutions.
  3. Drive improvements in MLOps processes.

Qualifications:

  1. Experience as a Machine Learning Engineer or Data Scientist.
  2. Solid Python coding skills.
  3. Expertise with cloud infrastructure (preferably AWS).
  4. Familiarity with Containers and MLE tools such as MLflow and Airflow.
  5. Knowledge of AI SaaS or GenAI APIs is a bonus.

In return, you’ll be offered a supportive team culture with flexible, hybrid work options and room for professional growth.

If you’re eager to contribute to cutting-edge AI projects in a confidential and fast-evolving environment, they’d love to hear from you. Click apply and be part of something transformative.

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Machine Learning Engineer employer: LinuxRecruit

Join a dynamic and innovative team at one of Europe’s fastest-growing AI start-ups, where you will have the opportunity to work on cutting-edge projects in a supportive and flexible work environment. With offices in vibrant cities like Barcelona and Madrid, we offer a culture that fosters collaboration and professional growth, ensuring you are at the forefront of AI technology while enjoying a healthy work-life balance. Be part of a transformative journey and contribute to groundbreaking solutions that push the boundaries of what's possible in the world of AI.
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Contact Detail:

LinuxRecruit Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer

✨Tip Number 1

Familiarize yourself with the latest trends in machine learning and AI. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.

✨Tip Number 2

Network with professionals in the AI and machine learning community. Attend meetups, webinars, or conferences where you can connect with potential colleagues or mentors. Building these relationships can lead to valuable insights and even job referrals.

✨Tip Number 3

Showcase your projects and contributions on platforms like GitHub or personal websites. Highlight any tools you've built for model training or evaluation, as well as your experience with MLOps processes. This practical demonstration of your skills can set you apart from other candidates.

✨Tip Number 4

Prepare to discuss your experience with cloud infrastructure, especially AWS, during interviews. Be ready to explain how you've utilized it in past projects and how it relates to the role you're applying for. This will demonstrate your technical expertise and readiness for the position.

We think you need these skills to ace Machine Learning Engineer

Machine Learning Algorithms
Python Programming
Cloud Infrastructure (AWS)
Containerization (Docker, Kubernetes)
MLOps Processes
Model Training and Evaluation
Data Pipeline Development
Collaboration with Data Scientists and Engineers
MLflow
Apache Airflow
AI SaaS APIs
GenAI APIs
Problem-Solving Skills
Adaptability
Communication Skills

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position. Understand the responsibilities and qualifications required, and think about how your experience aligns with them.

Highlight Relevant Experience: In your CV and cover letter, emphasize your experience as a Machine Learning Engineer or Data Scientist. Be specific about your Python coding skills, cloud infrastructure experience (especially AWS), and familiarity with MLE tools like MLflow and Airflow.

Showcase Your Projects: If you have worked on relevant projects, describe them in your application. Highlight any innovative AI products you’ve contributed to, especially those involving model training, evaluation, or deployment.

Tailor Your Application: Customize your cover letter to reflect your enthusiasm for the role and the company. Mention why you are excited about the opportunity to work in a fast-growing AI start-up and how you can contribute to their mission.

How to prepare for a job interview at LinuxRecruit

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python and any relevant machine learning frameworks. Highlight specific projects where you've built tools for model training and evaluation, as this will demonstrate your hands-on expertise.

✨Understand MLOps Processes

Since the role involves driving improvements in MLOps, familiarize yourself with best practices in this area. Be ready to discuss how you have implemented or improved MLOps processes in previous roles.

✨Collaborate Effectively

Collaboration is key in this position. Prepare examples of how you've worked with Data Scientists and Engineers in the past to deploy solutions. Emphasize your communication skills and ability to work in a team.

✨Stay Updated on AI Trends

Given the fast-evolving nature of AI, show your passion for the field by discussing recent advancements or trends in AI and machine learning. This will reflect your enthusiasm and commitment to staying at the forefront of technology.

Machine Learning Engineer
LinuxRecruit Apply now
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  • Machine Learning Engineer

    London
    Full-Time
    28800 - 48000 £ / year (est.)
    Apply now

    Application deadline: 2027-01-10

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    LinuxRecruit

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