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- Tasks: Build and scale innovative AI models for a leading B2B platform.
- Company: Join a UK household brand revolutionising workforce solutions with AI.
- Benefits: Up to £120,000 salary, hybrid working, and private health insurance.
- Other info: Collaborative team environment with opportunities for career growth.
- Why this job: Make a real impact in the hospitality industry with cutting-edge technology.
- Qualifications: Experience in machine learning, Python, and data systems required.
The predicted salary is between 120000 - 120000 £ per year.
I am working with a UK household brand who are innovating on how companies find a flexible workforce. They are building in new AI features which will revolutionise how interviews are conducted, how business onboarding and payroll is run within the sector. This project is a huge innovation on this already successful product. You will be working on cutting edge AI solutions within this sector and solving complex problems never been looked at before.
You will work within a cross-functional team of researchers, data scientists, and engineers to build the intelligence engines that power decision-making for major UK and international brands. This is a hands-on role where you will move between building demand forecasting models, architecting data pipelines, and deploying solutions into a high-traffic production environment. You may begin in one area of the codebase, but over time you’ll work across multiple parts of the stack—from backend services to data pipelines and API design.
This is an opportunity for someone who delivers high-quality code quickly, values well-structured architecture and knows when to be pragmatic. You’ll help shape best practices, take on meaningful technical challenges and contribute to the scaling of a platform used across the hospitality industry.
Key Responsibilities:- Build, maintain, and scale machine learning models that drive the core functionality of customer-facing apps and internal dashboards.
- Design robust data systems to optimize storage, retrieval, and processing speed.
- Develop AI models specifically for demand prediction and resource optimization, directly impacting service quality.
- Create ETL processes to ingest and transform messy, multi-source data (specifically API integrations).
- Partner with Data Scientists and Software Engineers to define data needs and ensure seamless integration into the product ecosystem.
- Utilize Python (Django) or Go to support the deployment of ML models.
- Proven history of shipping ML products, ideally within demand prediction, computer vision, or optimization.
- Strong experience with Time Series Forecasting, Sequence Modelling, Signal Processing or Quantitative Analysis.
- Proficient in Python and SQL. Familiarity with AWS (SageMaker, Lambda) and CI/CD automation.
- Strong understanding of MLOps, data versioning, and quality management.
Private Health Insurance
Hybrid Office Working
If this role sounds interesting to you, ping over your CV and we will give you a call if we think you are a good fit!
Senior Machine Learning Engineer | Profitable B2B AI Platform | 3-4 Days per week Hybrid, London, Up to £120,000 employer: Owen Thomas | Pending B Corp™
Contact Detail:
Owen Thomas | Pending B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer | Profitable B2B AI Platform | 3-4 Days per week Hybrid, London, Up to £120,000
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to demand prediction or resource optimisation. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects in detail, especially how you've tackled complex problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are excited about revolutionising the industry with AI.
We think you need these skills to ace Senior Machine Learning Engineer | Profitable B2B AI Platform | 3-4 Days per week Hybrid, London, Up to £120,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Machine Learning Engineer. Highlight your experience with machine learning models, data systems, and any relevant projects that showcase your skills in demand prediction and resource optimisation.
Showcase Your Skills: Don’t just list your skills—show us how you’ve used them! Include specific examples of how you've built or maintained ML models, designed data pipelines, or worked with Python and SQL in previous roles. We love seeing real-world applications!
Keep It Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. We want to get to know you without wading through fluff.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. This way, we can easily track your application and get back to you quicker. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Owen Thomas | Pending B Corp™
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and any relevant ML frameworks. Brush up on your experience with demand prediction and resource optimisation, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly those related to building and deploying machine learning models. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Vision
Research the company’s current projects and innovations in AI. Be ready to discuss how your skills can contribute to their goals, especially in revolutionising interview processes and optimising business operations within the hospitality sector.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their approach to MLOps, data versioning, or how they envision the future of their AI features. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.