Machine Learning Engineer - R&D
Machine Learning Engineer - R&D

Machine Learning Engineer - R&D

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our R&D team to develop cutting-edge machine learning models and algorithms.
  • Company: We're a leading tech company innovating in AI and machine learning solutions.
  • Benefits: Enjoy flexible work hours, remote work options, and a vibrant office culture.
  • Why this job: Be part of a dynamic team that values creativity and drives impactful technology.
  • Qualifications: Seeking candidates with a background in computer science, statistics, or related fields.
  • Other info: Opportunity for growth and collaboration on exciting projects.

The predicted salary is between 36000 - 60000 £ per year.

Machine Learning Engineer - R&D employer: jobwache

At our company, we pride ourselves on fostering a collaborative and innovative work environment that empowers Machine Learning Engineers to thrive. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a culture that values creativity and teamwork. Join us to be part of groundbreaking projects that make a real impact in the field of research and development.
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Contact Detail:

jobwache Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer - R&D

✨Tip Number 1

Familiarize yourself with the latest trends and technologies in machine learning. Being able to discuss recent advancements or tools during your interview can show your passion and commitment to the field.

✨Tip Number 2

Engage with the machine learning community by attending meetups, webinars, or conferences. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.

✨Tip Number 3

Work on personal projects or contribute to open-source initiatives that showcase your skills in machine learning. Having tangible examples of your work can set you apart from other candidates.

✨Tip Number 4

Prepare for technical interviews by practicing coding challenges and machine learning problems. Familiarity with common algorithms and their applications will help you demonstrate your expertise effectively.

We think you need these skills to ace Machine Learning Engineer - R&D

Proficiency in Python and/or R
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Strong understanding of algorithms and data structures
Knowledge of statistical analysis and modeling techniques
Familiarity with data preprocessing and feature engineering
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure)
Ability to work with large datasets and big data technologies (e.g., Hadoop, Spark)
Strong problem-solving skills
Excellent communication and collaboration skills
Experience with version control systems (e.g., Git)
Understanding of software development best practices
Ability to conduct experiments and analyze results
Adaptability to new technologies and methodologies

Some tips for your application 🫡

Understand the Role: Take the time to thoroughly understand the responsibilities and requirements of a Machine Learning Engineer in R&D. Familiarize yourself with the specific technologies and methodologies mentioned in the job description.

Tailor Your CV: Customize your CV to highlight relevant experience in machine learning, data analysis, and research projects. Use keywords from the job description to ensure your application stands out.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and research. Explain why you are interested in this position and how your skills align with the company's goals.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any grammatical errors or typos, as attention to detail is crucial in technical roles.

How to prepare for a job interview at jobwache

✨Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning algorithms, frameworks, and tools. Highlight specific projects where you've implemented these technologies and the impact they had.

✨Understand the Company’s R&D Focus

Research the company's current projects and areas of interest in R&D. This will help you tailor your answers and demonstrate your enthusiasm for contributing to their specific goals.

✨Prepare for Problem-Solving Questions

Expect to face technical challenges during the interview. Practice solving machine learning problems on the spot, explaining your thought process clearly as you work through them.

✨Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, project timelines, and future directions of the R&D department. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Machine Learning Engineer - R&D
jobwache
J
  • Machine Learning Engineer - R&D

    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-03-03

  • J

    jobwache

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