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ML Software Engineer

ADLIB Recruitment
Central London
8 months 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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Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.