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For Companies At a Glance
- Tasks: Lead the design and evolution of AI production pipelines for cutting-edge Computer Vision systems.
- Company: Innovative AI company focused on real-world visual intelligence technology.
- Benefits: Flexible hybrid or remote work, strong engineering culture, and high levels of technical ownership.
- Other info: Opportunity to shape the future of AI/ML with a high-performing international team.
- Why this job: Make a real impact by solving challenging AI problems in a collaborative environment.
- Qualifications: Proven experience in ML/Computer Vision, strong Python/C++ skills, and leadership capabilities.
The predicted salary is between 80000 - 100000 £ per year.
I’m currently partnering with a highly innovative AI company building advanced Computer Vision and visual intelligence technology deployed at global scale. This is not a research-only role or a position focused on experimenting in isolation. The company is looking for someone who can take ownership of the entire AI production lifecycle - from raw data collection and training pipelines through to robust, production-ready models operating in demanding environments.
The role is ideal for someone who combines deep technical expertise with a hands-on approach to engineering and leadership.
The Opportunity
- You will lead the design and evolution of the company’s AI production pipeline, covering data ingestion, organisation, annotation strategy, model training, validation, optimisation, deployment, and monitoring.
- The focus is on building industrial-grade Computer Vision systems that perform reliably outside the lab - with real constraints around latency, scalability, reliability, and throughput.
- You’ll work closely with Engineering, Product, and AI teams to ensure research and technical innovation translate directly into commercial impact.
- This role also comes with significant influence internally. You’ll have the autonomy to help shape the structure, standards, and direction of the AI/ML function, while hiring and developing a high-performing international team.
Key Responsibilities
- Own and scale the end-to-end AI/ML production lifecycle.
- Build high-performance Computer Vision systems for production deployment.
- Drive development across Object Detection, Segmentation, Tracking, and Transformer-based architectures.
- Define standards across MLOps, model quality, deployment, monitoring, and engineering best practice.
- Improve the speed and efficiency of taking models from raw data to production.
- Work cross-functionally with Product and Engineering teams on long-term technical strategy.
- Hire, mentor, and grow AI/ML engineering teams across multiple locations.
- Establish scalable team structures, workflows, and delivery processes within an Agile environment.
Requirements
- Proven track record delivering ML or Computer Vision products into production at scale.
- Strong expertise across modern Computer Vision techniques and deep learning architectures.
- Excellent Python and C++ engineering skills.
- Experience optimising training and inference pipelines for real-world deployment.
- Strong systems and engineering mindset alongside deep ML knowledge.
- Previous experience leading technical teams while remaining hands-on.
- MSc or PhD in Computer Science, Machine Learning, or a related field preferred.
The company offers a strong engineering culture, high levels of technical ownership, and the opportunity to work on difficult AI problems with direct real-world impact.
If you are interested in applying, please apply through the link.
Principal ML Engineer in Manchester employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal ML Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and ML. This is your chance to demonstrate your hands-on experience and technical expertise, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace Principal ML Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal ML Engineer role. Highlight your expertise in Computer Vision and any leadership roles you've held, as we want to see how you can take ownership of projects.
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 your hands-on experience can contribute to our innovative projects. We love seeing genuine enthusiasm for the role!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We want to see your practical experience with model training, deployment, and optimisation, so don’t hold back!
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 this exciting opportunity. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at NearTech Search
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and ML, especially around Computer Vision. Be ready to discuss your previous projects in detail, focusing on how you tackled challenges and delivered results. This shows you’re not just knowledgeable but also hands-on.
✨Showcase Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed and mentored others. Talk about your approach to building high-performing teams and how you foster collaboration across different functions.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that test your problem-solving skills. Think through real-world scenarios where you had to optimise models for production. Discuss your thought process and the impact of your solutions on performance and efficiency.
✨Align with Company Goals
Research the company’s mission and values, and be ready to explain how your experience aligns with their goals. Highlight your understanding of the commercial impact of AI/ML and how you can contribute to their success in building robust systems.