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For Companies At a Glance
- Tasks: Design and create AI solutions to boost efficiency and innovation in logistics.
- Company: Join a forward-thinking logistics company focused on AI-driven transformation.
- Benefits: Enjoy a flexible contract role with a negotiable day rate.
- Why this job: Be at the forefront of AI technology, making a real impact in operations.
- Qualifications: Experience in Python or JavaScript and strong knowledge of LLMs required.
- Other info: This role offers the chance to work with cutting-edge AI tools and platforms.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
McGregor Boyall have partnered with a Logistics company who are seeking support to identify, design, and create AI-driven solutions that can drive operational efficiency and foster innovation across their organization.
This is a contract role – negotiable day rate.We're looking for a someone who can assist with the following key responsibilities:
- Identifying and prioritizing high-impact AI use cases across departments
- Designing and deploying AI agents and tools to automate tasks and optimize internal workflows.
- Integrating AI capabilities with existing systems and platforms.
- Leveraging proprietary and external data to develop, train, and fine-tune user-generated AI models.
- Ensuring all solutions meet rigorous standards for data privacy, security, and compliance.
- improving solutions based on real-world usage and feedback.
- Build and deploy AI-powered workflows
- Python or JavaScript
- Knowledge of automation platforms
- Strong experience with LLMs
If you think you meet the above requirements, please apply or email your CV to
McGregor Boyall is acting as an Employment Business in relation to this vacancy.
AI Solutions Engineer employer: McGregor Boyall
Contact Detail:
McGregor Boyall Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and automation technologies. Being well-versed in current tools and platforms will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the logistics and AI sectors. Attend industry events, webinars, or online forums to connect with potential colleagues and learn about the challenges they face, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss specific AI use cases you've worked on in the past. Highlighting your experience with LLMs and automation platforms will show that you have practical knowledge and can contribute effectively from day one.
✨Tip Number 4
Stay updated on data privacy and compliance regulations relevant to AI solutions. Understanding these standards will not only make you a more attractive candidate but also ensure that you can design solutions that meet organisational requirements.
We think you need these skills to ace AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI solutions, particularly in identifying use cases and deploying AI tools. Use specific examples that demonstrate your skills in Python or JavaScript and your familiarity with automation platforms.
Craft a Compelling Cover Letter: Write a cover letter that addresses the key responsibilities mentioned in the job description. Explain how your background aligns with their needs, particularly your experience with LLMs and data privacy standards.
Showcase Relevant Projects: If you have worked on projects involving AI-driven solutions, be sure to include them in your application. Describe your role, the technologies used, and the impact of these projects on operational efficiency.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial for a role focused on developing AI solutions.
How to prepare for a job interview at McGregor Boyall
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python or JavaScript during the interview. Be prepared to discuss specific projects where you've designed and deployed AI solutions, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with the logistics industry and how AI can drive operational efficiency. Being able to discuss relevant use cases and how they can be applied in a real-world context will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to identify and prioritise high-impact AI use cases. Think of examples where you've successfully integrated AI capabilities with existing systems and be ready to explain your thought process.
✨Emphasise Data Privacy and Compliance
Since the role involves ensuring solutions meet data privacy and compliance standards, be prepared to discuss your understanding of these regulations. Highlight any experience you have in developing solutions that adhere to these rigorous standards.
