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- Tasks: Lead the development of machine learning models for a cutting-edge AI-driven platform.
- Company: Join a product-led MarTech company revolutionising digital content decisions.
- Benefits: Competitive salary, remote work, and opportunities for continuous learning.
- Why this job: Make a real impact by embedding AI into live workflows and improving marketing effectiveness.
- Qualifications: Strong experience in machine learning, advanced Python skills, and familiarity with ML libraries.
- Other info: Dynamic remote environment with a focus on collaboration and innovation.
The predicted salary is between 48000 - 72000 £ per year.
I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. AI is a core part of the product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP).
What You’ll Be Doing
- Lead the development and deployment of machine learning models used in a live SaaS product
- Own models end-to-end from experimentation through production deployment, monitoring, and iteration
- Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows
- Improve the scalability, reliability, and performance of existing ML systems
- Review code and architecture, setting a high engineering standard
- Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness
What They’re Looking For
- Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment
- Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries
- Experience deploying and maintaining ML models in production
- Solid software engineering fundamentals (algorithms, data structures, clean code)
- Comfortable working with Docker and containerised systems
- Experience collaborating cross-functionally and owning delivery, not just models
- A mindset focused on impact, curiosity, and continuous improvement
Machine Learning Engineer in Belfast employer: TechByte Talent Ltd
Contact Detail:
TechByte Talent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We all know that actions speak louder than words, so let your work do the talking when you land those interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search, so make sure to hit that apply button!
We think you need these skills to ace Machine Learning Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Machine Learning Engineer, especially in product-led environments. We want to see your advanced Python skills and any hands-on work with ML libraries like PyTorch or TensorFlow.
Showcase Your Projects: Include specific examples of machine learning models you've developed and deployed. We love seeing end-to-end ownership, so share how you’ve taken models from experimentation to production and what impact they had.
Highlight Collaboration Skills: Since we value cross-functional teamwork, mention any experiences where you worked closely with product, engineering, or non-technical stakeholders. Show us how you embedded AI into real workflows!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at TechByte Talent Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the tools and technologies mentioned in the job description, especially Python, PyTorch, and TensorFlow. Brush up on your knowledge of Google Cloud Platform as well, since it’s a key part of their stack.
✨Showcase Your Projects
Prepare to discuss specific projects where you've developed and deployed machine learning models. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Business Impact
Since this role involves working closely with non-technical stakeholders, be prepared to articulate how your work in machine learning can drive business decisions. Think about how your models can improve marketing effectiveness and be ready to share insights from past experiences.
✨Ask Insightful Questions
Prepare thoughtful questions that show your curiosity about the company’s AI-driven platform and its future direction. Inquire about their current challenges with ML systems or how they measure the success of their models. This shows you’re genuinely interested in contributing to their goals.
