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For Companies At a Glance
- Tasks: Design and scale AI systems that evaluate knowledge and skills accurately.
- Company: Innovative UK-based AI organisation transforming professional certification.
- Benefits: Competitive salary, high ownership, and collaborative culture.
- Why this job: Make a real impact on education and skilled professions with cutting-edge AI.
- Qualifications: 4+ years in AI/ML engineering and strong Python skills required.
- Other info: Remote work with excellent career growth opportunities.
The predicted salary is between 60000 - 90000 £ per year.
Salary: £60,000 – £90,000
Location: Remote
Eligibility: Applicants must have the right to work in the UK (no sponsorship available)
The Opportunity
What if the systems you built didn’t just optimise engagement, but played a role in determining someone’s future career? This is an opportunity to work on AI solutions that directly impact education, certification, and access to skilled professions. Your work will sit at the intersection of large language models, evaluation frameworks, and high-stakes decision-making, where precision, fairness, and reliability matter.
About the Company
This UK-based AI organisation is redefining how professional certification and assessment are delivered. Their goal is to make accreditation more accessible, scalable, and fair through intelligent automation. You’ll join a small, highly capable team where engineers are trusted to take ownership, influence direction, and deliver meaningful outcomes. Collaboration is strong, and the focus is on building systems that work—properly.
What You’ll Gain
- High levels of ownership and autonomy
- The chance to build AI systems with real-world impact
- End-to-end involvement across the AI lifecycle
- A collaborative, pragmatic engineering culture
- Exposure to LLM evaluation, multimodal AI, and human-in-the-loop systems
The Role
As an AI Engineer, you’ll design and scale intelligent systems that evaluate knowledge and skills accurately and efficiently.
Your work will include:
- Developing AI-driven assessment pipelines using structured data and evaluation criteria
- Building evaluation frameworks, datasets, and testing methodologies
- Working with LLM workflows, focusing on performance, cost, and reliability
- Applying statistical techniques to validate improvements
- Contributing to systems that handle text, image, and video inputs
- Generating clear, explainable feedback for users
- Implementing monitoring, observability, and evaluation pipelines
- Designing safeguards such as confidence thresholds and human review processes
- Building APIs and deploying scalable solutions in the cloud
- Contributing to system architecture and technical direction
The Ideal Candidate
You’re an experienced AI/ML engineer who enjoys solving complex problems and takes pride in building systems that are robust and maintainable.
You’ll likely have:
- Around 4+ years’ experience in AI/ML engineering (or a relevant PhD with industry exposure)
- A track record of delivering end-to-end ML systems in production
- Strong Python programming skills, with experience building reliable backend systems and APIs
- Hands-on experience with LLMs and modern AI workflows
- Experience with evaluation frameworks and model optimisation
- Familiarity with testing, observability, and experimentation practices
- Experience deploying to cloud environments (AWS preferred)
- A solid understanding of fairness, privacy, and model integrity
- Confidence working in a fast-paced, small team
Apply Now
If you’re looking to build AI systems that genuinely matter—and want the freedom to shape how they’re designed and deployed, this is a standout opportunity.
Please note: this role does not offer visa sponsorship, and applicants must already have the right to work in the UK.
Apply today or get in touch for a confidential discussion.
Senior Python Engineer (AI Systems) in Shadwell employer: S Knights Recruitment
Contact Detail:
S Knights Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer (AI Systems) in Shadwell
✨Tip Number 1
Network like a pro! Reach out to people in the AI and Python engineering space. Attend meetups, webinars, or even just connect on LinkedIn. 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 projects, especially those involving AI systems or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. 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’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Python Engineer (AI Systems) in Shadwell
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Python Engineer role. Highlight your AI/ML projects, especially those involving LLMs and evaluation frameworks, to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about building AI systems that impact education. Share specific examples of your work and how it relates to our mission at StudySmarter.
Showcase Your Technical Skills: Don’t hold back on your Python programming prowess! Include details about the backend systems and APIs you’ve built, as well as any experience with cloud deployments, particularly AWS.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at S Knights Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in relation to building reliable backend systems and APIs. Be prepared to discuss your past projects and how you've used Python to solve complex problems, particularly in AI/ML contexts.
✨Familiarise Yourself with AI Systems
Dive deep into the specifics of AI-driven assessment pipelines and evaluation frameworks. Understand the latest trends in LLMs and be ready to share your insights on how they can impact education and professional certification.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your experience with model optimisation and statistical techniques, as these will be crucial for the role.
✨Emphasise Collaboration and Ownership
This role values teamwork and autonomy, so be ready to talk about how you've contributed to team projects in the past. Share examples of how you've taken ownership of a project and influenced its direction, showcasing your ability to work effectively in a small, agile team.