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For Companies At a Glance
- Tasks: Lead and architect complex machine learning systems that make a real-world impact.
- Company: Global language tech company focused on innovative ML solutions.
- Benefits: Up to £100k base salary, competitive benefits, and flexible working options.
- Why this job: Shape the future of ML while staying hands-on in a dynamic environment.
- Qualifications: 8+ years in ML/AI, strong Python skills, and experience with TensorFlow or PyTorch.
- Other info: Join a distributed team and mentor fellow engineers in a collaborative culture.
The predicted salary is between 72000 - 84000 £ per year.
Remote (UK & EU)
Up to £100,000 base + benefits
We're hiring for a global language technology company building production-grade machine learning systems used at enterprise scale across regulated industries. This is a Staff-level IC role for an experienced ML engineer who wants to stay hands-on while shaping architecture, standards, and technical direction across a distributed ML organisation.
What You'll Do
- Lead and architect complex, production ML systems end-to-end
- Design scalable ML pipelines and models aligned to real business outcomes
- Apply advanced ML techniques, with a strong focus on NLP and data-heavy use cases
- Act as a technical mentor and point of reference for other ML engineers
What We're Looking For
- 8+ years' experience in Machine Learning / AI Engineering
- Proven delivery of complex ML systems in production environments
- Strong Python skills
- Deep knowledge of ML algorithms, statistics, and data modelling
- Hands-on experience with TensorFlow, PyTorch, or Keras
- Cloud & MLOps experience (AWS, Azure, or GCP)
- NLP or recent LLM experience highly relevant
- Comfortable operating at Staff IC level
Package
- Up to £100k base (flexible for exceptional candidates)
- Competitive benefits
- No sponsorship available
Staff Machine Learning Engineer in Warrington employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML field, attend meetups, and engage in online forums. 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 best ML projects, especially those involving NLP or complex systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML algorithms. 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’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Staff Machine Learning Engineer in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Machine Learning Engineer role. Highlight your experience with ML systems, Python skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include specific examples of complex ML systems you've delivered in production. We love seeing hands-on experience, so don’t hold back on detailing your work with TensorFlow, PyTorch, or Keras. Let us know how you’ve made an impact!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Harnham
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals, especially around NLP and the frameworks like TensorFlow or PyTorch. Be ready to discuss specific projects where you've applied these technologies, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex ML systems you've designed or worked on. Think of examples that highlight your ability to architect solutions that align with business outcomes. This is your chance to demonstrate how you can lead and mentor others in a distributed ML organisation.
✨Get Familiar with MLOps
Since cloud and MLOps experience is crucial, make sure you can discuss your familiarity with AWS, Azure, or GCP. Be prepared to explain how you've implemented scalable ML pipelines and managed production environments effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's ML architecture, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
