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- Tasks: Develop machine learning models for classification and prediction while collaborating with stakeholders.
- Company: Leading data integration firm in the UK with a focus on equity and impact.
- Benefits: Competitive salary, equity, and 30+ days of paid time off annually.
- Why this job: Join a dynamic team and make a real impact through innovative machine learning solutions.
- Qualifications: 3+ years of experience in machine learning and fluency in Python.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading data integration firm in the UK is seeking a Machine Learning Engineer to develop models for classification, prediction, and more. You will translate business goals into modeling objectives and work with stakeholders to evaluate data sources.
The ideal candidate has over 3 years of experience, is fluent in Python, and is comfortable in a collaborative environment.
The role offers a competitive salary, equity, and at least 30 days of paid time off per year.
Remote ML Engineer — Equity & Impact in London employer: HASH
Contact Detail:
HASH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer — Equity & Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend virtual meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss how you've tackled real-world problems. Practising with friends or using mock interview platforms can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace Remote ML Engineer — Equity & Impact in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since we value teamwork, mention any experiences where you’ve worked closely with stakeholders or in a collaborative environment. Highlighting these skills will show us you’re a great fit for our culture.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at HASH
✨Know Your Models
Make sure you brush up on the machine learning models relevant to classification and prediction. Be ready to discuss your past projects, the models you used, and how they aligned with business goals. This shows you can translate technical skills into real-world applications.
✨Python Proficiency is Key
Since fluency in Python is a must, practice coding challenges or review your previous work in Python. Be prepared to demonstrate your coding skills during the interview, as this will highlight your technical expertise and problem-solving abilities.
✨Collaborate Like a Pro
This role requires working closely with stakeholders, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve translated complex data insights into actionable strategies for non-technical team members.
✨Research the Company
Take some time to understand the company’s mission and values, especially their focus on equity and impact. This will help you tailor your answers to show how your personal values align with theirs, making you a more attractive candidate.
