ML Software Engineer

ADLIB Recruitment
Central London
1 year ago
Applications closed

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Join a Pioneering Climate Tech Team We are partnering with a transformative and fast-growing start-up dedicated to leveraging machine learning to accelerate climate action. They are looking for a Machine Learning Software Engineer to play a pivotal role in developing solutions that harness the power of data, driving meaningful change in the climate sector. What youll be doing: Spearhead data collection initiatives using advanced web scraping techniques to broaden data acquisition. Utilise AI and NLP to refine and transform large datasets, enhancing the quality and accessibility of information. Develop and maintain sophisticated data management systems to support data validation and entry. Conduct detailed analyses to improve the functionality and efficiency of the data processing frameworks. Current team size is 5 including the Head of Eng. They are looking to double over the next 6 months with engineers who can wear many hats (Software, Data & ML) What experience youll need to apply: 5 years of experience in Software/Data/Machine Learning Engineering Python for machine learning and backend development tasks Background in NLP to develop and implement ML models for data processing and analysis Experienced with AWS for managing and deploying applications in a cloud environment Proven track record of developing production-grade software for maintaining and scaling live systems. Familiarity with DevOps practices including CI/CD. Data manipulation and extraction techniques for unstructured data sources desirable. Start-up/Scale-up experience highly advantageous What youll get in return for your experience Salary of £100,000 - £130,000 DOE. Stock options. Flexible hybrid working. Work with a highly talented team where innovation and ideas are celebrated. What's next? Interested in making a real-world impact with your technical skills? Apply now with and up-to-date CV to help shape the future of climate tech

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How to Write a Machine Learning Job Ad That Attracts the Right People

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Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

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Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.