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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 Guildford 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 Guildford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and common ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Machine Learning Engineer in Guildford
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.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so explain how your skills align with our needs and how you can contribute to improving our AI-driven platform.
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 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 and improve marketing effectiveness. Think about how you can translate technical jargon into insights that matter to the business.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company’s current ML projects, their approach to model monitoring, or how they measure success. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
