Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

ML Software Engineer

ADLIB Recruitment
Holborn
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Professional and Financial Services

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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 you’ll 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 you’ll 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 you’ll 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 an up-to-date CV and help shape the future of climate tech

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.