At a Glance
- Tasks: Build and deploy AI solutions using cutting-edge technologies like LLMs and machine learning.
- Company: Join a growing AI practice with a focus on innovation and collaboration.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with clear pathways to leadership and client-facing experiences.
- Why this job: Make a real impact in the AI field while mentoring others and leading projects.
- Qualifications: 2-4 years in Data Science or AI Engineering with strong Python skills.
The predicted salary is between 80000 - 100000 £ per year.
This is an exciting opportunity to join a growing AI practice and work on cutting-edge projects spanning Generative AI, LLMs, AI Agents, Machine Learning, and Data Science. The role offers genuine responsibility, exposure to client-facing delivery, and a clear pathway to leadership. It is hybrid working with your base office being Edinburgh, London, Manchester, Leeds or Birmingham.
As an AI Engineer, you'll play a key role in delivering AI-powered solutions across a variety of client projects. You'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and traditional machine learning techniques to solve real-world business challenges. Working alongside senior AI and Data Science leaders, you'll own significant project workstreams, turning solution designs into robust, production-ready software whilst helping to mentor junior colleagues and contribute to the growth of our AI practice.
What You'll Be Doing
- Building, testing, and deploying AI and Machine Learning solutions
- Developing GenAI applications using LLMs, RAG architectures, and agentic workflows
- Delivering end-to-end data science activities including feature engineering, model training, and evaluation
- Writing clean, maintainable, production-focused Python code
- Supporting model evaluation, monitoring, and optimisation
- Collaborating with clients and project teams to deliver tangible business outcomes
What We're Looking For
Essential
- 2-4 years' experience in Data Science, Machine Learning, AI Engineering, or related fields
- Strong Python development skills and practical experience with common ML libraries
- Solid grounding in machine learning and data science fundamentals
- Hands-on experience with Generative AI, LLMs, Prompt Engineering, and RAG
- Understanding of AI Agent frameworks and orchestration approaches
- Excellent communication and stakeholder engagement skills
- Collaborative mindset with a passion for learning and innovation
Desirable
- Experience with Azure AI services and cloud-based AI platforms
- Exposure to MLOps and LLMOps practices
- Previous mentoring or coaching experience
- Consulting or client-facing delivery experience
AI Engineer in Livingston employer: Change Digital – Digital & Tech Recruitment
Join a forward-thinking company in Edinburgh that champions innovation and quality in software development. With a hybrid work model, competitive salary, and excellent benefits, you'll thrive in a collaborative environment that prioritises employee growth and embraces modern engineering practices. This is an opportunity to make a meaningful impact while working alongside talented professionals in a dynamic B2C/SaaS setting.
Contact Details:
Change Digital – Digital & Tech Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Livingston
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace AI Engineer in Livingston
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Change Digital – Digital & Tech Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Change Digital – Digital & Tech Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Change Digital – Digital & Tech Recruitment
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Change Digital – Digital & Tech Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.