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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 Portsmouth 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 Portsmouth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. Practice common ML interview questions and think about how you can demonstrate your problem-solving skills.
✨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 a better chance of landing that dream role. Let’s get you started!
We think you need these skills to ace Machine Learning Engineer in Portsmouth
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. Customising your CV for the role shows us you’re serious about joining our team!
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. This gives us insight into your practical experience and problem-solving skills.
Highlight Collaboration Skills: Since we work closely with various teams, it’s important to demonstrate your ability to collaborate cross-functionally. Mention any experiences where you’ve worked with non-technical stakeholders to embed AI into workflows. This will show us you can bridge the gap between tech and business.
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. Plus, it makes the whole process smoother for both of us!
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 prepared to explain your thought process from experimentation to deployment, and how you’ve iterated on them based on performance metrics.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product and engineering teams, be ready to share examples of how you've successfully collaborated with non-technical stakeholders. Highlight any experiences where your input led to impactful decisions.
✨Demonstrate Your Coding Proficiency
Brush up on your Python skills and be prepared to discuss your experience with libraries like PyTorch or TensorFlow. You might even be asked to solve a coding problem, so practice writing clean, efficient code that adheres to best practices.
✨Emphasise Your Impact-Driven Mindset
Talk about how your work has led to measurable improvements in previous projects. Whether it’s enhancing model performance or increasing marketing effectiveness, showing a results-oriented approach will resonate well with the interviewers.
