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

Apply Now

Junior Machine Learning Engineer (Geospatial experience)

The Learning Experience #328
London
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer (Knowledge Graph expert) - Selby Jennings

Principal Machine Learning Engineer

Senior Machine Learning Engineer – Computer Vision

Trainline London, UK

Considering making an application for this job Check all the details in this job description, and then click on Apply.Full TimeRole Highlights

PythonSQLData ScienceGenerative AIFine TuningUXCICDGitHub ActionsDigital MarketingSignal ProcessingSearchEmbeddedReliabilityResearchTestingMathematicsPhysicsStatisticsQuantitativeNavigationNLPRAGHostingTools, Libraries and Frameworks

Jupyter NotebookMySQLPostGresRedShiftAWSTensorflowScikit-learnNoteBooksNumPyDescription Trainline uses AI to enhance sustainable travel choices by integrating advanced machine learning models into their platform to improve search capabilities, find the lowest prices, and enhance user experience with generative AI. The role involves developing geospatial data science tools for accurate train tracking, building proof-of-concept prototypes, and creating new algorithms. Required skills include proficiency in Python data science libraries, experience in designing machine learning algorithms, and geospatial analysis. Useful skills include SQL, cloud platforms like AWS, and experience with NLP algorithms and large language models.About the company Trainline champions sustainable and accessible travel through advanced digital platforms that enhance customer experiences and operational efficiencies across European rail networks. With a mission rooted in environmental consciousness, Trainline is a major player in travel technology, driving innovations such as AI-based enhancements in search, pricing, and marketing functionalities. As a FTSE 250 entity, Trainline is a diverse workplace with over 1,000 employees across multiple European cities, continually pushing the boundaries of technology to transform rail travel. The company's strong growth trajectory is supported by a culture of experimentation and learning, making it an attractive environment for tech professionals looking to impact the future of travel.

#J-18808-Ljbffr

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.