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For Companies At a Glance
- Tasks: Join a team to build AI-driven tools for climate action and sustainable impact.
- Company: Be part of a rapidly growing climate intelligence company focused on sustainable investment decisions.
- Benefits: Enjoy a salary up to £130,000, flexible hybrid work, and comprehensive benefits.
- Why this job: Make a real impact on global climate challenges while working with cutting-edge technology.
- Qualifications: Strong Python skills, experience in ML frameworks, and full-stack development required.
- Other info: Opportunity to work on a mission-focused platform with long-term incentives through stock options.
The predicted salary is between 78000 - 182000 £ per year.
Be at the Forefront of Climate Innovation
Build AI-Driven Tools for Climate Action and Sustainable Impact
We’re excited to bring on board a talented Software Engineer for a rapidly growing climate intelligence company. This role offers a unique opportunity to join a dedicated team developing a platform that enables sustainable investment decisions through AI, data science and advanced engineering. Here, you’ll join a team that blends AI with industry insights to empower corporations, investors, and policy-makers. This role is perfect for software engineers skilled in ML/MLOps who want to use their talents to make an impact on the global climate challenge.
What you’ll be doing
In this dynamic, delivery-focused role, you’ll work across the full stack of the climate intelligence platform, combining software engineering with ML model implementation to create transformative, data-driven tools.
- Build and enhance data ingestion pipelines and ML-driven extraction models that automate data collection and structure insights for end users.
- Work across backend (Python), frontend and cloud infrastructure to deliver features and ensure platform scalability.
- Utilise NLP, OpenAI’s API, and other AI tools to automate and transform unstructured data sources into meaningful insights for sustainable decision-making, as well as working towards a natural language interface for their platform.
- Develop scalable architectures and CI/CD pipelines to ensure quality and rapid deployment of new features.
- Take responsibility for the platform’s end-to-end reliability and deployment, working closely with the engineering team to ensure best practices and technical integrity.
What experience you’ll need to apply
- Strong background in Python and hands-on experience with machine learning frameworks.
- Proven experience in NLP, LLM models, or similar AI applications that support data extraction and automated data handling.
- Track record in full-stack development and infrastructure.
- Solid knowledge of data engineering best practices, working with both structured and unstructured data sources.
- Practical experience in DevOps and cloud infrastructure.
- Great communicator who enjoys working autonomously as well as collaboratively within a multi-disciplinary and talented team.
What you’ll get in return for your experience
- Salary up to £130,000 with long-term incentives through stock options.
- Opportunity to work on a mission-focused platform directly supporting climate action and sustainable change.
- Flexible hybrid work policy of 1 – 4 days per month in the office.
- Comprehensive benefits including private health insurance, enhanced parental leave and more.
What’s next?
If you want to drive change in the climate tech sector and contribute to a data-driven, impactful platform, apply now to join a team of like-minded engineers and take the next step in your ML engineering career.
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Senior Software Engineer (ML) employer: ADLIB
Contact Detail:
ADLIB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer (ML)
✨Tip Number 1
Familiarize yourself with the latest trends in climate technology and AI applications. Understanding how your skills in ML and software engineering can directly impact climate action will help you stand out during discussions.
✨Tip Number 2
Showcase any relevant projects or contributions to open-source initiatives that align with climate innovation. This demonstrates your commitment to the cause and your practical experience in building impactful tools.
✨Tip Number 3
Network with professionals in the climate tech space. Engaging with like-minded individuals can provide insights into the industry and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your experience with full-stack development and cloud infrastructure in detail. Be ready to explain how you've implemented scalable architectures and CI/CD pipelines in past projects, as this is crucial for the role.
We think you need these skills to ace Senior Software Engineer (ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning frameworks, and any relevant projects that showcase your skills in NLP and full-stack development. Use keywords from the job description to align your experience with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for climate action and how your technical skills can contribute to the company's mission. Mention specific experiences where you've successfully implemented ML solutions or worked on data-driven projects.
Showcase Relevant Projects: If you have personal or professional projects related to AI, data science, or climate technology, include them in your application. Provide links to your GitHub or portfolio to demonstrate your hands-on experience and problem-solving abilities.
Prepare for Technical Questions: Be ready to discuss your technical expertise in Python, ML, and DevOps during the interview process. Brush up on your knowledge of data engineering best practices and be prepared to explain how you've applied these in past roles.
How to prepare for a job interview at ADLIB
✨Showcase Your ML Expertise
Be prepared to discuss your hands-on experience with machine learning frameworks. Highlight specific projects where you've implemented ML models, especially in NLP or LLM applications, as this aligns closely with the role's requirements.
✨Demonstrate Full-Stack Knowledge
Since the position involves full-stack development, be ready to talk about your experience with both backend (Python) and frontend technologies. Share examples of how you've integrated these components in past projects.
✨Discuss Data Engineering Practices
Familiarize yourself with data engineering best practices, particularly in handling structured and unstructured data. Be prepared to explain how you've built data ingestion pipelines or worked with data extraction models.
✨Emphasize Collaboration and Communication Skills
This role requires working within a multi-disciplinary team. Share experiences that demonstrate your ability to communicate effectively and collaborate with others, whether in an autonomous setting or as part of a team.
