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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 industrial sectors.
- Benefits: Enjoy a hybrid work environment with competitive salary and growth opportunities.
- Why this job: Make a real impact in climate transition while working with a dynamic international team.
- Qualifications: 8+ years in software engineering with expertise in Python, AI, and machine learning required.
- Other info: Permanent contract with a focus on data science and AI research.
The predicted salary is between 100800 - 112000 £ 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:
- As a Senior Machine Learning Software Engineer, your role will be pivotal in delivering insights to corporates, investors, and governments mobilising strategies in the climate transition.
- You will be responsible for designing, developing and implementing software solutions across our machine learning and data stack.
- Your expertise will be crucial in enhancing our data collection processes, implementing AI models, maintaining our ML ops infrastructure, and identifying 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:
- The ideal candidate for this Senior Machine Learning Software Engineer position brings a wealth of experience in software engineering with a focus on machine learning.
- Your deep expertise in Python development coupled with your experience in AI and natural language processing will be key assets.
- You have a proven track record of developing and maintaining production-grade software.
- Your interest in working for a fast-paced startup environment combined with your academic background in Computer Science or Engineering sets you apart.
- 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
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. Understanding how these fields intersect will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the ClimateTech sector. Attend relevant meetups, webinars, or conferences to connect with industry experts and learn about potential job openings that may not be advertised widely.
✨Tip Number 3
Showcase your practical experience with machine learning projects. Whether through personal projects, contributions to open-source, or previous work, having tangible examples will set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by brushing up on your Python skills and understanding of AI models. Practising coding challenges and system design questions related to machine learning can give you a competitive edge.
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, particularly in machine learning and AI. Include specific projects or roles that demonstrate your expertise in Python development and natural language processing.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for climate technology. Mention how your skills can contribute to the company's mission of providing actionable intelligence in the energy and transport sectors.
Showcase Relevant Projects: If you have worked on relevant projects, especially those involving web scraping, AI models, or ML ops infrastructure, be sure to include them in your application. This will help demonstrate your hands-on experience and problem-solving abilities.
Highlight Your Teamwork Skills: Since the role involves working closely with an international team, emphasise your ability to collaborate effectively. Share examples of past experiences where you successfully worked in a team setting, particularly in fast-paced environments.
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 past projects where you've implemented AI models or improved data collection processes.
✨Understand the Company's Mission
Research the company's role in the climate transition and how they empower investors and governments. Demonstrating knowledge about their impact will show your genuine interest in the position and align with their goals.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or case studies related to machine learning and data analysis to showcase your analytical skills.
✨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 project goals.
