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Explore Group
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6 months ago
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Job Description AI/ML Engineer – London We are seekinga talented AI/ML Engineer to join a cutting-edge team at theforefront of intelligent technology and digital transformation.This role offers a unique opportunity to develop and deployadvanced AI models in high-impact environments. 🚀 What You'll BeDoing - Designing, developing, and training neural networks to meetcomplex functional requirements. - Deploying AI models efficientlyon scalable server-based platforms. - Collaborating withcross-functional teams to integrate ML capabilities into digitalapplications. - Continuously improving model performance andinfrastructure through experimentation and optimisation. 🧠 WhatWe're Looking For - Strong understanding of AI/ML fundamentals,including neural networks and deep learning architectures. -Proficiency in Python and experience with ML libraries (e.g.,TensorFlow, PyTorch, Scikit-learn). - Experience deploying machinelearning models in production environments. - Familiarity withcloud-based platforms (e.g., AWS, Azure, GCP) and containerizationtools (e.g., Docker, Kubernetes). - A passion for building scalableand impactful AI solutions. 🌟 Nice to Have - Experience workingwith edge computing or low-latency AI systems. - Knowledge of dataengineering pipelines and real-time data processing.

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

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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.