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- Tasks: Design and build next-gen AI workflows for finance automation.
- Company: Leading AI firm in Glasgow focused on innovative agentic products.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by automating complex finance tasks with cutting-edge AI.
- Qualifications: 2+ years in AI/ML engineering and strong Python skills required.
- Other info: Join a high-calibre team and shape the future of finance automation.
The predicted salary is between 36000 - 60000 £ per year.
Apex Resources limited are on the lookout for a Machine Learning Engineer (Agentic AI) in Glasgow for a hybrid role. A leading Glasgow-based AI firm is building next-generation agentic AI products that automate complex tax and finance workflows for UK accountancy firms and in-house finance teams. The platform leverages large language models and intelligent orchestration to remove repetitive work and free specialists to focus on higher-value advice.
The role involves joining a small, high-calibre engineering team as an AI Developer, working on the core agentic AI platform for tax and finance automation. Day-to-day responsibilities include:
- Designing and implementing agentic AI workflows that coordinate LLMs, tools and reasoning engines to handle end-to-end finance and tax processes.
- Building robust back-end services and APIs to support document ingestion, data extraction, multi-step reasoning and autonomous execution.
- Working with modern LLM tooling (advanced prompting, retrieval-augmented generation, tool calling, evaluation frameworks) to optimise accuracy, latency and reliability for real client workloads.
- Collaborating with product managers, domain SMEs (tax and finance) and fellow AI engineers to deliver features from concept through to production.
- Contributing to code quality, observability and secure engineering practices in a regulated, data-sensitive environment.
Our tech stack includes:
- Languages: Python (core), plus exposure to TypeScript/JavaScript helpful for front-end integrations.
- AI & data: LLMs (OpenAI/Anthropic-style APIs), vector databases/RAG, agent frameworks, basic MLOps for deploying and monitoring AI systems in production.
- Orchestration: Workflow engines, event-driven architectures, multi-agent coordination systems.
- Cloud & infra: Azure or AWS, containerised services (Docker/Kubernetes), CI/CD pipelines and modern DevOps practices.
- Platform integrations: Connecting agentic AI to third-party tax/finance systems and APIs within customers’ existing tech stacks.
What we’re looking for:
- Essential:
- 2+ years’ post-graduate experience as a Software Engineer / AI Engineer / ML Engineer working on production AI systems.
- Strong software engineering fundamentals: clean code, testing, version control and debugging in Python or similar.
- A Master’s degree (or above) in Computer Science, Mathematics, AI/ML, Data Science, or a closely related discipline from a top-tier university.
- Demonstrable experience with applied AI/ML or LLM-based systems (projects, internships, or commercial work), not just academic exposure.
- Comfort working in a fast-moving, small-team environment where you take ownership from idea through to production release.
- Nice to have:
- Experience building agentic AI systems (tool-calling, multi-step planning, self-improvement loops) or autonomous agents.
- Knowledge of advanced agentic patterns and concepts like Model Context Protocol or similar orchestration standards.
- Exposure to financial, tax or accounting data and the nuances of working in regulated or data-sensitive environments.
Why join?
- Direct impact: Ship agentic AI that immediately removes hours of manual work for tax and finance teams every day.
- Cutting-edge AI: Work at the forefront of agentic AI and enterprise-grade autonomous systems, delivering beyond proof-of-concepts.
- High-calibre team: Join experienced AI engineers shaping the future of finance automation with production-grade agentic technology.
- Growth opportunity: Be part of a scaling AI product business with room to shape technical direction and best practices.
How to apply: Send your CV to Chris at Apex Resources or call on (phone number removed).
Machine Learning Engineer employer: Apex Resources Ltd
Contact Detail:
Apex Resources Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and finance sectors on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or agentic AI. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to get noticed and shows you’re genuinely interested in joining our team at Apex Resources.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with AI systems, Python, and any relevant projects that showcase your skills in agentic AI or LLMs. We want to see how you fit into our team!
Showcase Your Projects: Include specific examples of your work in AI/ML, especially any hands-on projects or internships. We love seeing real-world applications of your skills, so don’t hold back on the details that demonstrate your expertise.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Apex Resources Ltd
✨Know Your Tech Stack
Familiarise yourself with the tech stack mentioned in the job description. Brush up on Python, LLMs, and any orchestration tools you might not be as comfortable with. Being able to discuss your experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about specific projects where you've applied AI/ML or worked with LLM-based systems. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Business Context
Research Apex Resources and their focus on automating tax and finance workflows. Understanding their business model and how agentic AI fits into it will help you tailor your answers and show that you're genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face in building agentic AI systems, and how success is measured in this role. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
