Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Operationalise machine learning models and support AI initiatives in a fast-paced environment.
- Company: Established company in Chester with a hybrid work model.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact with cutting-edge AI technology.
- Qualifications: 3-4 years in AI/ML engineering, strong Python skills, and solid software fundamentals.
- Other info: Work closely with cross-functional teams in a cloud-first environment.
The predicted salary is between 70000 - 80000 £ per year.
Location: Chester (Hybrid - 2x week in office)
Salary: £70,000 - £80,000
About the Role
I'm working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment.
What You’ll Be Doing
- Operationalising machine learning models and ensuring they are production-ready
- Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models
- Contributing to churn and revenue prediction use cases
- Working on conversational AI, including an in-house AI agent designed to support customers throughout their stay
- Collaborating closely with engineers, designers, and product stakeholders
- Helping establish best practices for CI/CD, model deployment, and ML operations across the organisation
- Supporting a move towards a product-aligned, hub-based operating model
Technology Stack
- Cloud-first environment with Microsoft Azure Fabric
- Python, PyTorch
- SQL
- Apache Spark
- Azure Data Factory (ADF)
- Git
What We’re Looking For
- 3–4 years’ experience in AI/ML engineering, data engineering, or applied data science
- Strong Python skills with experience deploying ML models to production
- Solid software engineering fundamentals (clean code, version control, testing mindset)
- Experience working with customer or marketing data
- Exposure to ML Ops practices (full CI/CD expertise not required)
- Experience handling customer or personal data is a plus (e.g. chatbot or conversational AI projects)
- Strong communication skills and ability to work cross-functionally
- Master’s degree in Computer Science, Data Science, or a related field preferred
Machine Learning Engineer in Wrexham employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Wrexham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow ML enthusiasts. 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, especially those involving Python and deployment. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your past projects and how you collaborated with teams. Remember, they want to see how you fit into their fast-paced environment!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented ML Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer in Wrexham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, ML models, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool projects, especially those involving conversational AI or revenue prediction, make sure to mention them. We’re keen to see your hands-on experience and how you’ve operationalised ML models in the past.
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, we love seeing applications come through our own channels!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Familiarise yourself with the technology stack mentioned in the job description, especially Microsoft Azure, Python, and PyTorch. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Projects
Prepare to talk about specific machine learning projects you've worked on, particularly those involving operationalising models or working with customer data. Highlight your role, the challenges you faced, and the impact of your work.
✨Collaboration is Key
Since the role involves working closely with various teams, be prepared to discuss your experience collaborating with engineers, designers, and product stakeholders. Share examples of how you’ve successfully communicated and worked cross-functionally.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI/ML initiatives and their approach to model deployment and CI/CD practices. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.