AI/ML Engineer

Job not on LinkedIn

2 hours ago

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Logo of The Access Group

The Access Group

SaaS • B2B • HR Tech

The Access Group is a provider of cloud-based, industry-focused business management software and services. It offers modular SaaS solutions — including finance and accounting, HR and payroll, learning and compliance, CRM, ERP, payments and managed IT — tailored to sectors such as charities, education, construction, healthcare, hospitality, recruitment, warehousing and wholesale. The company serves other organisations with integrated, enterprise-grade tools, supported by professional services, customer success and global operations to help customers streamline operations and meet regulatory and sector-specific needs.

📋 Description

• Design and implement autonomous AI agents capable of complex decision-making across sales and marketing workflows • Build multi-agent systems that collaborate to solve complex GTM challenges • Deploy predictive models that improve lead conversion and retention • Contribute to NLP solutions such as chatbots and sentiment analysis for customer engagement • Write clean, testable code and participate in technical discussions • Collaborate with Sales teams to understand requirements and translate them into AI features • Research emerging AI technologies and assess their potential impact on our competitive advantage • Prototype innovative solutions that could revolutionise our industry approach • Partner with business stakeholders to identify high-impact AI use cases • Contribute to Access Group's AI strategy and roadmap development

🎯 Requirements

• Advanced degree in Computer Science, Machine Learning, Data Science, or equivalent experience • 3+ years of hands-on ML/AI development experience • Experience with AI / Automation tools such as n8n or Revelance • Strong Python programming and HTML skills with deep knowledge of ML frameworks • Cloud platform expertise (AWS, Azure, or GCP) with ML services and deployment pipelines • LLM fine-tuning and deployment experience, including prompt engineering and retrieval-augmented generation (RAG) • Understanding of connectivity across datasets, platforms (PowerBI, Tableau, DataBricks) and APIs

🏖️ Benefits

• 25 days annual leave • Private healthcare • Life insurance • Charity day allocated to support a cause

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