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- Tasks: Design and implement software solutions in machine learning and data.
- Company: Join a leading ClimateTech firm transforming energy, transport, and industry.
- Benefits: Enjoy a hybrid work environment with competitive salary and growth opportunities.
- Why this job: Make a real impact on climate transition while working with a dynamic international team.
- Qualifications: 8+ years in software engineering with expertise in Python, AI, and machine learning.
- Other info: Permanent contract with a salary range of £120,000 - £140,000.
The predicted salary is between 120000 - 140000 £ per year.
Our client is at the forefront of the energy, transport, and industrial sectors' rapid transformation, providing customers with actionable intelligence to compete and win. They combine comprehensive project, funding, and partnership data with expert insights and advanced tools to empower investors, corporates, and governments. They are now seeking a Senior Machine Learning Software Engineer to join their dynamic team. This role offers an exciting opportunity to design, develop and implement software solutions across their machine learning and data stack.
What you’ll do:
- Deliver insights to corporates, investors, and governments mobilising strategies in the climate transition.
- Design, develop and implement software solutions across the machine learning and data stack.
- Enhance data collection processes, implement AI models, maintain ML ops infrastructure, and identify opportunities for improvement.
- Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection.
- Implement AI, natural language processing, and machine learning models to extract, classify, and transform data.
- Assist in developing and maintaining the company’s ML ops infrastructure.
- Analyze the performance of the machine learning and data stack to identify opportunities for improvement.
- Take initiative to develop new features and elevate the product.
- Work closely with a small, international team.
What you bring:
- 8+ years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent.
- Experience in machine learning / natural language processing / AI.
- Proven history developing and maintaining production-grade software.
- Interest in working for a fast-moving startup.
- A MSc degree in Computer Science, Engineering or other relevant field.
About the job:
- Contract Type: Permanent
- Focus: Data Science & AI Research
- Workplace Type: Hybrid
- Experience Level: Mid Management
- Location: London
- Salary: £120,000 - £140,000 per annum
Sr. Machine Learning Engineer Software Engineer (ClimateTech) employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Machine Learning Engineer Software Engineer (ClimateTech)
✨Tip Number 1
Familiarise yourself with the latest trends in climate technology and machine learning. This will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the ClimateTech sector, especially those who work with machine learning. Attend relevant meetups or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Showcase your hands-on experience with Python and machine learning projects. Prepare to discuss specific examples of how you've implemented AI models or improved data collection processes in previous roles.
✨Tip Number 4
Research the company’s existing products and services. Understanding their current machine learning and data stack will enable you to suggest innovative ideas or improvements during your interview, demonstrating your proactive approach.
We think you need these skills to ace Sr. Machine Learning Engineer Software Engineer (ClimateTech)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, machine learning, and AI. Focus on relevant projects and roles that demonstrate your expertise in Python development and natural language processing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for climate technology and your interest in the company's mission. Mention specific experiences that align with the job description, such as developing production-grade software or working in fast-paced environments.
Showcase Relevant Projects: Include a portfolio or links to projects that demonstrate your skills in machine learning and data collection techniques. Highlight any web scraping or AI model implementations you've worked on, as these are directly relevant to the role.
Prepare for Technical Questions: Anticipate technical questions related to machine learning, AI, and software development during the interview process. Brush up on key concepts and be ready to discuss your previous work and how it relates to the responsibilities of the position.
How to prepare for a job interview at Robert Walters UK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning, and natural language processing in detail. Bring examples of projects you've worked on that demonstrate your ability to develop and maintain production-grade software.
✨Understand the Company's Mission
Research the company's role in the climate transition and how they leverage data and AI. This will help you align your answers with their goals and show your genuine interest in their mission.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice coding challenges or case studies related to machine learning and data collection techniques to demonstrate your analytical thinking.
✨Emphasise Team Collaboration
Since the role involves working closely with an international team, highlight your experience in collaborative environments. Share examples of how you've successfully worked with diverse teams to achieve common goals.
