At a Glance
- Tasks: Join us to build cutting-edge ML models for top brands like Uber and Amazon.
- Company: Dynamic tech company focused on enhancing customer experience through AI.
- Benefits: Flexible work options, competitive salary, wellness budget, and generous holiday allowance.
- Other info: Inclusive culture that values diversity and encourages personal growth.
- Why this job: Make a real impact in the fast-evolving AI space while working remotely or hybrid.
- Qualifications: Deep knowledge of ML, strong PyTorch skills, and experience with real-world text data.
The predicted salary is between 60000 - 80000 £ per year.
Senior Data Scientist in the UK or Poland (Remote or Hybrid). Be part of our success with the opportunity to join our company equity scheme.
Our Perks:
- Monthly Health & Wellness budget, increasing with length of service
- Annual Learning and Development budget, increasing with length of service
- Flexible working in a choice-first environment
- Work From Home Allowance
- 25 Holiday Days + local bank holidays, plus an extra day for every year of service
- Your birthday off
- Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave
- Optional Healthcare Plan
- Life & income protection (Location dependent)
- Employee Assistance Programme (UK Only)
- The opportunity to share in the company’s success through options
- If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace
The Role:
Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.
We're hiring a Senior Data Scientist to join the team and help build and ship the next generation of that stack.
What you'll be doing:
- Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines.
- Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire.
- Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation.
- Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons.
- Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods.
- Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring.
- Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking.
- Mentor team members, review code and research, and bring relevant advances from the literature into the product.
What you’ll need:
- A deep working knowledge of transformer architectures.
- Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level.
- Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search.
- Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools.
- A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution.
- Practical experience building with GenAI and agentic patterns.
- Excellent communication skills and confidence translating complex technical concepts for non-technical audiences.
- Technical curiosity and a keen interest in AI.
- High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward.
It would be a bonus if you:
- MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field.
- Experience with reinforcement learning techniques, such as with verifiable reward (RLVR).
Our Hiring Process:
- Complete an introductory asynchronous interview.
- Have a call with Aji, our Chief Scientist.
- Complete a short take home assignment.
- Meet a mix of people from the Data Science, Engineering and Product teams.
- Have a call with our cofounder to learn more about life at Chattermill.
Our Values:
- We are obsessed with experience.
- We believe in the power of trust.
- We act as responsible owners.
- We share a passion for growth & progress.
- We set our ambitions high but stay humble.
- We believe the right team is the key to success.
Diversity & Inclusion:
We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone a chance to join us.
Senior Machine Learning Scientist employer: Chattermill Analytics Limited
At Chattermill, we pride ourselves on being an exceptional employer, offering a flexible and choice-first work environment that empowers our employees to thrive. With generous benefits including a monthly health and wellness budget, an annual learning and development allowance, and the opportunity to participate in our equity scheme, we are committed to fostering personal and professional growth. Our vibrant culture, especially in our London office with its dog-friendly atmosphere and rooftop terrace, ensures that every team member feels valued and engaged as we work together to revolutionise customer experience.
Contact Details:
Chattermill Analytics Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and 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 related to machine learning and data science. 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 practising common questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel!
✨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 take the initiative to connect with us directly.
We think you need these skills to ace Senior Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Machine Learning Scientist role. Highlight your experience with transformer architectures and PyTorch, and don’t forget to showcase any relevant projects that demonstrate your skills in ML and AI.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about customer experience and how your background aligns with our mission at StudySmarter. Keep it engaging and personal!
Show Off Your Projects:If you've worked on any cool ML projects, make sure to mention them! Whether it's custom models or innovative solutions, we want to see how you’ve applied your skills in real-world scenarios.
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 don’t miss out on any updates from our team. We can’t wait to hear from you!
How to prepare for a job interview at Chattermill Analytics Limited
✨Know Your Stuff
Make sure you brush up on your knowledge of transformer architectures and PyTorch. Be ready to discuss your experience with custom training loops and fine-tuning techniques like LoRA. The more specific examples you can provide, the better!
✨Show Your Problem-Solving Skills
Prepare to talk about how you've tackled real-world data challenges in the past. Think of examples where you had to choose between complex and simpler ML methods, and be ready to explain your thought process. This will show your ability to prioritise effectively.
✨Communicate Clearly
Since you'll need to translate complex technical concepts for non-technical audiences, practice explaining your work in simple terms. This will demonstrate your excellent communication skills and help you connect with the interviewers.
✨Be Curious and Engaged
Show your passion for AI and machine learning by discussing recent advancements or projects that excite you. Ask insightful questions about the company's tech stack and future directions. This will highlight your enthusiasm and initiative!