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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 work options.
- Why this job: Shape the future of ML while working with cutting-edge technologies 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 for career growth.
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 Newcastle upon Tyne employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer in Newcastle upon Tyne
✨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 Newcastle upon Tyne
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. If you've worked with NLP or LLMs, make that stand out! We love seeing real-world applications of your skills.
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 achievements and skills. We appreciate a well-structured application!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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 mentioned like TensorFlow or PyTorch. Be ready to discuss specific projects where you've applied these technologies and how they contributed to business outcomes.
✨Showcase Your Leadership Skills
As a Staff Machine Learning Engineer, you'll be expected to lead and mentor others. Prepare examples of how you've guided teams or influenced technical direction in previous roles. Highlight your ability to architect complex systems and how you've tackled challenges in production environments.
✨Prepare for Technical Questions
Expect deep dives into algorithms, statistics, and data modelling. Brush up on your Python skills and be ready to solve problems on the spot. Practising coding challenges related to ML can help you feel more confident during this part of the interview.
✨Understand the Company’s Vision
Research the company’s products and their impact on regulated industries. Be prepared to discuss how your experience aligns with their goals and how you can contribute to their mission. Showing genuine interest in their work can set you apart from other candidates.
