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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 Bolton 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 Bolton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We recommend including links to GitHub repos or any live demos. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. We suggest practicing common ML interview questions and coding challenges to boost your confidence.
✨Tip Number 4
Apply through our website! We make it super easy to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Machine Learning Engineer in Bolton
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 work closely with various teams, it’s important to showcase your ability to collaborate cross-functionally. Mention any experiences where you’ve worked with non-technical stakeholders to embed AI into 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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at TechByte Talent Ltd
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be ready to explain your thought process from experimentation to deployment, and how you’ve iterated on them based on performance metrics.
✨Showcase Your Python Skills
Brush up on your advanced Python skills, especially with libraries like PyTorch and TensorFlow. Prepare to demonstrate your coding abilities, perhaps even through a live coding exercise or by discussing past projects where you used these tools.
✨Understand the Product and Its Users
Research the company’s AI-driven platform and think about how machine learning impacts their product. Be prepared to discuss how you would embed AI into workflows and improve marketing effectiveness based on data insights.
✨Highlight Cross-Functional Collaboration
Since the role involves working closely with non-technical stakeholders, be ready to share examples of how you've successfully collaborated across teams. Emphasise your ability to communicate complex technical concepts in an accessible way.
