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- 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 - 120000 £ 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 Hull employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer in Hull
✨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 Hull
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 clear! We love seeing real-world applications of your skills, so don’t hold back.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about machine learning and how you can contribute to our team. We appreciate a personal touch, so let your personality come through while keeping it professional.
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 shows you’re keen on joining our team at StudySmarter!
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 skills, as real-world examples will show your depth of knowledge.
✨Architect Like a Pro
Since this role involves leading and architecting complex ML systems, prepare to talk about your experience in designing scalable ML pipelines. Think about how you can align technical decisions with business outcomes and be ready to share your thought process.
✨Mentorship Matters
As a Staff Machine Learning Engineer, you'll be expected to mentor others. Reflect on your past experiences mentoring junior engineers and be prepared to discuss how you approach teaching complex concepts and fostering a collaborative environment.
✨Cloud Savvy
With MLOps being a key part of the role, ensure you're familiar with cloud platforms like AWS, Azure, or GCP. Be ready to discuss how you've implemented ML solutions in the cloud and any challenges you've faced along the way.
