Job Specifications
Machine Learning Engineer | Profitable AI Hospitality Platform, Scale-up | 3-4 Days per week Hybrid, London, Up to £100,000
Company
I am working with an exciting AI start-up that are reshaping how hospitality businesses operate. They have created the UK’s largest flexible workforce of hyper-local students, supporting major global brands. Now, they are combining that workforce with advanced AI to create a platform unlike anything else in the market.
Their newly launched AI product has already exceeded £1m ARR in its first 10 months and they are on track to grow that tenfold in the coming year. With rapid expansion across the UK underway, international growth is next starting with an ambitious launch in the US.
Recently the company have signed deals with extremely well known and global brands so are now in the position to grow on the team across all fronts and heavily invest into the Data and Machine Learning Capabilities of the product and company.
Role
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 for the Machine Learning Engineer | Profitable AI Hospitality Platform, Scale-up | 3-4 Days per week Hybrid, London, Up to £100,000
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.
Requirements for the role:
Strong grasp of statistics and modelling with an ability to derive actionable insights from patterns.
MLOps experience
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 Quantitive Analysis
Proficient in Python and SQL. Experience with frameworks like PyTorch, Spark, or Airflow is highly desirable.
Familiarity with AWS (SageMaker, Lambda) and CI/CD automation.
Strong understanding of MLOps, data versioning, and quality management
What is in it for you:
Salary up to £100,000
Early stage Equity Options
Private Health IInsurance
Hybrid Office Working
If this role - Machine Learning Engineer | Profitable AI Hospitality Platform, Scale-up | 3-4 Days per week Hybrid, London, Up to £100,000 sounds interesting to you, ping over your CV and we will give you a call if we think you are a good fit!
About the Company
Hey, we are Owen Thomas. We are a relationship first recruitment partner for Data, Product & Engineering, across Contract and Permanent roles in the UK & Europe.
Humanness matters. We believe that empathy is the core of great recruitment; bringing opportunity and businesses to life, beyond what a person can see on a website.
All done with our OT personal touch.
Our mission: To be leaders within our specialisms and create unrivalled opportunities both internally and externally.
We balance purpose and profit. Actively in...
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