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- Tasks: Develop ML algorithms to tackle environmental challenges and analyse large datasets.
- Company: Join an innovative Environmental Start-Up making a real impact on sustainability.
- Benefits: Enjoy a competitive daily rate and the flexibility of a 3-month contract outside IR35.
- Why this job: Be part of a mission-driven team focused on reducing carbon emissions and promoting sustainability.
- Qualifications: Extensive experience in data manipulation and ML, with a background in physics or mathematics.
- Other info: This role requires an EU work permit and is based in London.
This role is based in London, United Kingdom, and is a 3-month contract outside IR35, offering a competitive daily rate. We are seeking a Senior Machine Learning Engineer for an Environmental Start-Up client. The successful candidate will develop algorithms to help clients assess carbon and greenhouse emissions, supporting their environmental responsibilities.
Responsibilities:
- Develop and implement ML algorithms related to environmental sustainability
- Manipulate large datasets efficiently
- Collaborate with the team to deliver impactful solutions
Requirements:
- Extensive experience in data manipulation
- Proven experience delivering ML algorithms focused on environmental issues
- Proficiency in Python
- Background in physics or mathematics
- Knowledge of Bayesian statistics
If you are interested, please send your CV for consideration.
Senior ML Engineer - 3 Months - Outside IR35 employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - 3 Months - Outside IR35
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning, especially those related to environmental sustainability. This will not only help you in interviews but also show your genuine interest in the role and the company's mission.
✨Tip Number 2
Network with professionals in the environmental tech space. Attend meetups or webinars focused on machine learning applications in sustainability. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented ML algorithms. Be ready to explain your thought process, the challenges you faced, and how your solutions made an impact, particularly in environmental contexts.
✨Tip Number 4
Brush up on your knowledge of Bayesian statistics, as it's mentioned in the job requirements. Being able to articulate how you've applied these concepts in past projects can set you apart from other candidates.
We think you need these skills to ace Senior ML Engineer - 3 Months - Outside IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data manipulation and ML algorithms, especially those related to environmental issues. Use specific examples that demonstrate your proficiency in Python and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for environmental sustainability and how your background in physics or mathematics complements your machine learning skills. Mention your understanding of Bayesian statistics and how it applies to the role.
Highlight Relevant Projects: In your application, include details about any previous projects where you developed ML algorithms for environmental purposes. This will help the employer see your practical experience and commitment to the field.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial for a Senior ML Engineer role.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data manipulation and ML algorithms. Bring examples of past projects, especially those related to environmental sustainability, to demonstrate your expertise.
✨Understand the Company's Mission
Research the environmental start-up and its goals. Showing that you understand their mission and how your work can contribute to their objectives will impress the interviewers.
✨Prepare for Technical Questions
Expect questions on Python, Bayesian statistics, and other relevant technical topics. Brush up on these areas and be ready to solve problems or explain concepts during the interview.
✨Emphasise Collaboration
Since the role involves teamwork, highlight your ability to collaborate effectively. Share examples of how you've worked with others to deliver impactful solutions in previous roles.
