At a Glance
- Tasks: Design and launch innovative AI/ML capabilities that make a real difference.
- Company: Join a fast-growing SaaS business tackling large-scale AI challenges.
- Benefits: Enjoy a competitive salary, flexible working, and great benefits.
- Other info: Be part of an inclusive, collaborative engineering culture.
- Why this job: Take ownership of exciting projects from experimentation to production.
- Qualifications: 4+ years in ML systems, strong Python and SQL skills required.
The predicted salary is between 90000 - 90000 € per year.
Location: London (2 days per week in-office)
Salary: Up to £90,000 base + benefits
Type: Full-time
Overview
We’re hiring a Senior AI / ML Engineer to join a fast-growing SaaS business working on large-scale, real-world AI problems. The team processes billions of data points daily to detect and prevent low‑quality and fraudulent activity.
This is a senior, hands-on role with strong ownership, focused on building new AI‑driven product capabilities from early experimentation through to production.
Responsibilities
- Design, prototype, and launch new AI/ML capabilities with clear customer impact.
- Translate product and customer needs into experiments, POCs, and production solutions.
- Build and operate scalable, production-grade ML systems.
- Work closely with Product and Engineering to take concepts through to launch.
- Apply ML and LLM techniques pragmatically, balancing speed, quality, and impact.
Requirements
- ~4+ years experience building and running production ML systems end to end.
- Strong Python and SQL skills; experience working with large datasets in the cloud.
- Hands-on experience with LLM-based systems (e.g. RAG, agentic workflows, NLP).
- Strong product and systems thinking with a practical, impact-led mindset.
Nice to Have
- AWS experience (e.g. SageMaker, Bedrock, Lambda, S3, Redshift).
- Familiarity with MLOps practices.
- Background in adtech, media, fraud, or adversarial systems.
Why Join
- Work on technically challenging, high-scale AI problems.
- End-to-end ownership from experimentation to production.
- Competitive salary, benefits, and flexible working.
- Inclusive, collaborative engineering culture.
This role can't sponsor.
Senior AI Specialist in London employer: Harnham
Join a dynamic SaaS company in London as a Senior AI Specialist, where you'll tackle complex AI challenges and enjoy a culture of collaboration and inclusivity. With competitive salaries, flexible working arrangements, and opportunities for professional growth, this role offers the chance to make a significant impact on real-world applications while working with cutting-edge technology. Embrace the opportunity to take ownership of projects from experimentation to production in a supportive environment that values innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Specialist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space, 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 AI/ML projects, especially those that demonstrate your ability to solve real-world problems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach challenges!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Specialist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Specialist role. Highlight your experience with production ML systems and any relevant projects that showcase your skills in Python, SQL, and LLM techniques. We want to see how your background aligns with our needs!
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 you can contribute to our team. Be specific about your past experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects:If you've worked on interesting AI/ML projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and launch new capabilities. We love seeing practical examples of your impact!
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 awesome team at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss your experience with production ML systems, especially any hands-on work with LLMs. Prepare examples of how you've tackled real-world problems using AI techniques.
✨Showcase Your Problem-Solving Skills
During the interview, focus on how you've translated product needs into effective AI solutions. Share specific instances where your work had a clear customer impact, and be prepared to discuss the experiments or POCs you’ve developed.
✨Get Familiar with Their Tech Stack
If the company uses AWS or MLOps practices, it’s a good idea to familiarise yourself with these tools. Even if you don’t have direct experience, showing that you understand their importance and how they fit into the AI landscape can set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding collaboration and ownership.
