AI Technologist (Machine Learning Engineer)

Job description

We’re looking for people to join the Access family, who share our passion for believing in better, and who will help us continue to grow.Love Work.

Love Life.

Be You.

- is central to our success and how we give our customers the freedom to do more of what's important to them.We offer a blended approach to office working, encouraging you to collaborate and connect in one of our thriving offices.

We deliver on what we say, taking the development of our people seriously.

We’ll work with you to progress your success plan and provide opportunities to accelerate your career.On top of a competitive salary, our wellbeing days taking you to 25 days leave a year and a health contribution, you’ll also be able to choose from a range of benefits to suit you.

We’re an organisation that likes to give back, so you’ll also have three charity days allocated to support a cause that matters to you.**About You:** As an AI Technologist (Machine Learning Engineer) at Access, you will be at the forefront of our digital transformation journey, driving change and innovation through the strategic implementation of AI and automation technologies.

You will be responsible for identifying, evaluating, and deploying AI-powered solutions that optimize processes, enhance customer success, and create competitive advantages across our SaaS portfolio.

This role requires a blend of technical expertise, business acumen, and the ability to translate complex AI capabilities into practical business solutions that deliver measurable ROI.**Day-to-day, you will:****AI Strategy and Implementation*** **AI Solution Architecture**: Design and implement AI agents and automated workflows that streamline operations across sales, customer success, support, and internal processes* **Process Automation**: Develop intelligent automation solutions using iPaaS platforms to connect disparate systems, automate data flows, and eliminate manual touchpoints* **AI Agent Development**: Build and deploy conversational AI agents for customer support, employee assistance, and operational tasks using platforms like Agentforce, Lindy, and custom solutions* **Predictive Analytics**: Implement AI-powered predictive models for customer churn prevention, lead scoring, and operational forecasting**Customer Success Enhancement*** **Customer Health Monitoring**: Deploy AI tools to analyze customer behavior patterns, usage metrics, and engagement levels to proactively identify at-risk accounts* **Automated Onboarding**: Design intelligent onboarding workflows that personalize the customer journey based on specific needs and usage patterns* **Sentiment Analysis**: Implement NLP solutions to analyze customer communications, support tickets, and feedback to understand customer satisfaction in real-time* **Success Automation**: Create automated check-ins, health assessments, and follow-up actions triggered by specific customer journey events**Integration and Workflow Automation*** **iPaaS Implementation**: Architect and deploy integration solutions using platforms like n8n, Make.com, Tray.io, and Workato to connect our tech stack* **API Development**: Create custom integrations and API connections to enable seamless data flow between systems* **Workflow Optimization**: Design multi-step workflows with logic branches and AI processing to handle complex business processes* **Data Pipeline Automation**: Build automated data migration, synchronization, and health check routines to ensure data integrity**Your skills and experiences might also include:****Technical Skills****4-6 years of relevant experience in the following:*** **Automation Platforms:** Proficiency in PowerAutomate, Workato, n8n, Make.com (formerly Integromat), or similar iPaaS solutions* **AI/ML Experience:** Hands-on experience with LLMs and AI models including Claude, ChatGPT/GPT-4, and their APIs for building intelligent applications* **Programming:** Working knowledge of Python, JavaScript, and PowerShell for custom automation and integration development* **Low-Code/No-Code Tools:** Experience with platforms like Zapier, Tray.io, Lindy, or similar visual workflow builders* **Database Technologies:** Understanding of SQL, MongoDB, and data manipulation for analytics and reporting* **API Integration:** Strong understanding of RESTful APIs, webhooks, and authentication methods (OAuth, JWT)* **Cloud Platforms:** Experience with Microsoft Azure, AWS, or Google Cloud Platform for deploying and scaling AI solutions**Business and Analytical Skills*** **Process Analysis:** Ability to analyse complex business processes and identify automation opportunities with clear ROI* **Data Analysis:** Proficiency in analysing customer data, usage patterns, and business metrics to drive insights* **Change Management:** Experience in driving organizational change and adoption of new technologies* **Project Management:** Ability to manage multiple AI initiatives simultaneously with strong prioritization skills**Highly preferred but not mandatory skills*** Experience with advanced AI platforms like Salesforce Agentforce, Microsoft Copilot Studio, or custom AI agent frameworks* Knowledge of machine learning frameworks (TensorFlow, PyTorch, scikit-learn)* Experience with data visualization tools (Tableau, PowerBI, Looker)* Understanding of DevOps practices and CI/CD pipelines* Experience with RPA tools (UiPath, Automation Anywhere)The Access Group is one of the largest UK-headquartered business management software providers.

It provides solutions that empower more than 160,000 small and mid-sized organisations in commercial and non-profit sectors across Europe, USA and APAC, giving every employee the freedom to do more of what's important.

Its innovative cloud solutions and integrated AI software experience across multiple Access products transform how business technology is used.

Access employs approx.

8,500 people, continuously driving product innovation and customer service excellence.At Access, we are committed to creating a welcoming and inclusive environment where everyone can thrive.

If you're excited about this role, (even if your previous experience doesn't align perfectly), you might just be the perfect fit for us! We wholeheartedly believe in equality for all and the transformative power of diversity.Love Work.

Love Life.

Be You.
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Required Skill Profession

Engineering