At a Glance
- Tasks: Develop AI-driven tools for climate action and sustainable investment decisions.
- Company: Join a rapidly growing climate intelligence company focused on sustainable impact.
- Benefits: Work with a dedicated team and make a real difference in climate innovation.
- Why this job: Combine your software engineering skills with ML to tackle global climate challenges.
- Qualifications: Experience in ML/MLOps, Python, and full-stack development is essential.
- Other info: Opportunity to work with cutting-edge AI tools and contribute to meaningful insights.
The predicted salary is between 43200 - 72000 £ per year.
Be at the Forefront of Climate Innovation Build AI-Driven Tools for Climate Action and Sustainable Impact Were 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 youll be doing In this dynamic, delivery-focused role, youll 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, OpenAIs API, and other AI tools to automate and and transform unstructured data sources into meaningful insights for sustainable decision-making, as well as working towards a natural language in…
Senior Software Engineer (ML) employer: ADLIB Recruitment Careers
Contact Detail:
ADLIB Recruitment Careers 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 advancements in machine learning and AI, especially those related to climate action. Being able to discuss recent trends or breakthroughs in your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Showcase any relevant projects or contributions you've made in the realm of climate technology or sustainability. Whether it's a personal project or a contribution to an open-source initiative, having tangible examples can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the climate tech space. Attend industry events, webinars, or meetups where you can connect with like-minded individuals and potentially get referrals or insights about our company culture and values.
✨Tip Number 4
Prepare to discuss how you can leverage your software engineering skills to address specific challenges in climate intelligence. Think about how your experience with Python, MLOps, and data pipelines can contribute to our mission of sustainable impact.
We think you need these skills to ace Senior Software Engineer (ML)
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and required skills, especially in ML/MLOps, Python, and AI tools. Tailor your application to highlight your relevant experience.
Showcase Your Projects: Include specific examples of past projects where you implemented ML models or worked on data-driven tools. Highlight any experience with NLP, cloud infrastructure, or building scalable applications, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also expresses your passion for climate action and sustainable impact. Explain why you want to work in this field and how your background aligns with the company's mission.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter. Ensure there are no grammatical errors and that your documents are well-structured. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at ADLIB Recruitment Careers
✨Showcase Your ML Expertise
Be prepared to discuss your experience with machine learning and MLOps in detail. Highlight specific projects where you've implemented ML models, focusing on the impact they had on the end product.
✨Demonstrate Full Stack Knowledge
Since the role involves working across the full stack, be ready to talk about your experience with both backend (especially Python) and frontend technologies. Share examples of how you've integrated these components in past projects.
✨Discuss Data Handling Skills
Emphasize your ability to build and enhance data ingestion pipelines. Discuss any experience you have with automating data collection and structuring insights, as this is crucial for the role.
✨Align with Climate Goals
Express your passion for climate action and sustainability. Be prepared to discuss how your skills can contribute to the company's mission of using AI for sustainable investment decisions.