Skip to main content
← Back to Jobs

AI Engineer - Remote

HuzzleUnited Kingdom🌍 Remote
Full-time1-3
👁️ 0 views📝 0 applicationsPosted 8/20/2026Expires 10/19/2026
Tailor Resume for This JobCheck ATS Score

Get alerts for roles like this

More AI Engineer - Remote roles in United Kingdom — straight to your inbox. No account needed.

Applying to this role? Tailor your résumé to this job description in one click, then download it clean — no watermark, no subscription.

Job Description

About Huzzle At Huzzle , we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.

Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.

Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions.

You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives.

This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment.

Key Responsibilities

Design, build, and deploy AI/ML models for real-world applications. Develop and optimize AI-powered features using modern frameworks and APIs. Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives. Build AI pipelines for data processing, training, inference, and monitoring.

Collaborate with cross-functional teams to translate business needs into AI solutions. Integrate AI services into web applications, SaaS platforms, and internal tools. Fine-tune and evaluate machine learning models for performance and scalability.

Maintain documentation and ensure AI systems follow security and compliance best practices. Stay updated with the latest advancements in AI, machine learning, and automation technologies.

Requirements

2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role. Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Experience working with LLMs, gen

Required Skills

PythonTensorFlowPyTorchScikit-learnLangChainAIMachine LearningLarge Language ModelsAI/ML modelsAI pipelinesGenerative AIAutomationSaaSWeb ApplicationsData ProcessingTrainingInferenceMonitoring

Prepare to Win This Role

Everything you need to ace the interview and negotiate top-of-band compensation.

The best-paying roles in your field. Every week. Free.

Join 10,000+ professionals getting job alerts and salary insights in their inbox

We respect your privacy. Unsubscribe anytime with one click.