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- Tasks: Develop AI solutions to automate and enhance business processes.
- Company: Join a major organisation leading in innovative AI applications.
- Benefits: Enjoy a competitive salary, pension, and attractive benefits package.
- Why this job: Work on cutting-edge projects that make a real business impact.
- Qualifications: Experience in AI Automation, NLP, and tools like Python and OpenAI required.
- Other info: Remote work with occasional UK travel; perfect for self-starters.
The predicted salary is between 42000 - 84000 £ per year.
A major organisation is seeking a highly skilled AI Specialist - Automation & Integration to develop innovative solutions across business operations. This role is ideal for someone with a strong background and passion for using AI to streamline workflows, boost efficiency, and deliver measurable impact through advanced automation.
Key Responsibilities:- Design and deploy AI-powered solutions that automate and enhance complex business processes.
- Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions.
- Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n.
- Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment.
- Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge.
- Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early.
- Use AI agents to automate repetitive, rule-based tasks across internal systems.
- Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI.
- Document workflows and share learning across teams to support wider AI adoption.
- Stay current with developments in AI, automation, and machine learning tools and techniques.
- Demonstrable experience in AI Automation/Integration role.
- Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs).
- Experience using Python, OpenAI, LangChain, and vector databases.
- Familiarity with automation platforms like n8n, Zapier, or similar.
- Solid understanding of retrieval-augmented generation (RAG) methods.
- Strong problem-solving skills and the ability to design practical AI solutions with business outcomes in mind.
- Excellent communication skills – able to work cross-functionally and explain technical concepts to non-technical audiences.
- Self-starter mindset with the ability to manage projects independently in a hybrid or remote environment.
- Experience working in agile environments and iterating based on user feedback.
- Background in deploying AI/ML models to production (MLOps).
- Experience using cloud platforms such as Azure.
- Interest or experience in building autonomous agents or internal AI assistants.
- Competitive salary, pension and attractive benefits package.
- Work on cutting-edge AI projects that have immediate business impact.
- A collaborative, forward-thinking, and experimentation-friendly work environment.
- Opportunities for continuous learning and career development.
Location: Remote with very occasional travel (UK-based)
Salary: Up to £70,000 + typical benefits
If you’re an experienced practitioner with a passion for AI, automation, and business innovation — we’d love to hear from you.
Contact Detail:
FMCG Exec Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Specialist - Automation & Integration
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Python, OpenAI APIs, and LangChain. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've successfully implemented AI solutions in past roles. Be ready to discuss specific challenges you faced and how your solutions delivered measurable impact.
✨Tip Number 3
Network with professionals in the AI and automation fields. Engaging with communities on platforms like LinkedIn or attending relevant webinars can provide insights into industry trends and may even lead to referrals for the position.
✨Tip Number 4
Stay updated on the latest advancements in AI and automation. Being knowledgeable about current trends and innovations will not only prepare you for interviews but also show your genuine passion for the field.
We think you need these skills to ace AI Specialist - Automation & Integration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI automation and integration. Focus on specific projects where you've used Python, OpenAI APIs, or similar tools, and quantify your achievements to demonstrate measurable impact.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can streamline workflows. Mention specific examples of how you've applied LLMs or automation techniques in previous roles, and explain why you're excited about this opportunity.
Showcase Relevant Skills: Clearly outline your hands-on expertise with natural language processing and any experience with automation platforms like n8n or Zapier. Highlight your problem-solving skills and ability to communicate technical concepts to non-technical audiences.
Prepare for Technical Questions: Anticipate technical questions related to AI, automation, and machine learning during the interview process. Be ready to discuss your experience with deploying AI models and your understanding of retrieval-augmented generation methods.
How to prepare for a job interview at FMCG Exec
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, OpenAI APIs, and LangChain. Bring examples of projects where you've successfully implemented AI solutions, particularly those that demonstrate your ability to automate complex business processes.
✨Understand the Business Impact
During the interview, emphasise how your AI solutions have delivered measurable impact in previous roles. Be ready to explain how you align technical solutions with business goals, showcasing your understanding of ROI in AI projects.
✨Communicate Clearly
Since you'll be working cross-functionally, practice explaining technical concepts in simple terms. Prepare to discuss how you've effectively communicated with non-technical stakeholders in the past, ensuring everyone is on the same page.
✨Demonstrate a Self-Starter Attitude
Highlight your ability to manage projects independently, especially in hybrid or remote settings. Share examples of how you've taken initiative in previous roles, particularly in agile environments where user feedback was crucial for iteration.
