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- Tasks: Design and build cutting-edge ML systems and pipelines in Python.
- Company: Fast-scaling AI company with ambitious product goals.
- Benefits: Competitive salary, meaningful equity, and clear growth trajectory.
- Why this job: Join a high-calibre team and make a real impact in AI engineering.
- Qualifications: 10+ years in AI/ML, expert Python skills, and strong MLOps experience.
- Other info: Dynamic, fast-paced environment with high ownership and technical ambition.
The predicted salary is between 80000 - 125000 £ per year.
High-growth AI company building a highly ambitious product at enterprise scale is looking to add Senior and Staff-level AI Engineers to help shape the next phase of their ML platform and establish strong technical leadership within the team. This is a product engineering role with a heavy focus on ML systems, model deployment, and production AI infrastructure.
What you’ll be doing:
- Designing and building production ML systems and pipelines in Python
- Architecting scalable inference infrastructure and model serving systems
- Building robust MLOps tooling for training, evaluation, and deployment
- Owning AI system reliability, performance optimization, and monitoring at scale
- Acting as a technical leader within the AI engineering team, with a clear path to Staff / Tech Lead impact
- Helping lay the foundations for significant product and engineering growth over the next 12–18 months
What they’re looking for:
- Senior or Staff-level AI/ML engineer (roughly 10–12+ years’ experience)
- Expert Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar)
- Proven experience running production ML systems at scale
- Strong background in model deployment, MLOps, and ML system architecture
- Experience with LLMs, transformers, or modern AI architectures
- Comfortable making long-term technical decisions around ML infrastructure
- Experience in regulated or enterprise AI environments is a plus
- Strong software engineering fundamentals (not pure research)
Strong signals:
- Solid tenures at companies running ML/AI at real scale
- Clear career progression into senior AI technical responsibility
- Background in production ML platforms or high-traffic AI products
Team & environment:
- Small, high-calibre engineering team (~8 engineers)
- Fast-paced, high-ownership culture
- Serious technical ambition — strong people to learn from, but expectations are high
- Backed by recent oversubscribed funding and a very strong customer pipeline
Package:
- Senior: ~£100k–£125k
- Staff: up to ~£130k (target level)
- Meaningful equity at an early stage
- Clear growth trajectory as the company scales toward Series A
If you’re an AI engineer who thrives on turning models into products, building robust ML systems, and technical leadership, this is a rare opportunity to get in early and have genuine influence.
Interested or curious? Drop me a message for a confidential conversation.
Senior AI Engineer in Sheffield employer: SearchWorks
Contact Detail:
SearchWorks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and ML systems. Share it on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with model deployment and MLOps. Practise coding challenges and system design questions that are relevant to the role.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Make sure to tailor your application to highlight your experience in production ML systems and your leadership skills. Let’s get you that dream job!
We think you need these skills to ace Senior AI Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your Python skills, ML systems experience, 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 AI and how your experience makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any production ML systems or have experience with MLOps tooling, make sure to showcase these in your application. We love seeing real-world examples of your work and how you've tackled challenges in the past.
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 us you're keen to join our team!
How to prepare for a job interview at SearchWorks
✨Know Your ML Systems Inside Out
Make sure you brush up on your knowledge of production ML systems and pipelines, especially in Python. Be ready to discuss your experience with model deployment and MLOps tooling, as these are crucial for the role.
✨Showcase Your Technical Leadership
Prepare examples that highlight your experience as a technical leader. Think about times when you've made long-term decisions around ML infrastructure or guided a team through complex challenges. This will demonstrate your fit for the seniority level they're looking for.
✨Familiarise Yourself with Their Product
Research the company’s product and its ambitions. Understanding their goals and how your skills can contribute to building scalable inference infrastructure will show your genuine interest and alignment with their vision.
✨Prepare for High-Ownership Culture
Since they have a fast-paced, high-ownership culture, be ready to discuss how you've thrived in similar environments. Share specific instances where you've taken initiative and driven projects forward, as this will resonate well with their expectations.
