Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and architect complex machine learning systems that make a real 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 staying hands-on in a dynamic environment.
- Qualifications: 8+ years in ML/AI engineering with strong Python and cloud experience.
- 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 Oxford employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨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, focusing on the impact they had on business outcomes.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Staff Machine Learning Engineer in Oxford
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. Be sure to mention your experience with NLP and any leadership roles you've had in the past.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve complex ML systems or innovative solutions!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 what challenges you faced in production environments.
✨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.
