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- Tasks: Build and scale innovative AI models that transform workforce management.
- Company: Join a leading UK brand revolutionising the flexible workforce with cutting-edge technology.
- Benefits: Earn up to £120,000, enjoy equity options, private health insurance, and hybrid working.
- Other info: Work on exciting projects with excellent career growth opportunities in a supportive team.
- Why this job: Make a real impact in the AI space while collaborating with top talent in a dynamic environment.
- Qualifications: Strong background in machine learning, Python, and data systems; experience in demand prediction is a plus.
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. The company has been around for some time and already has a successful product which is generating hundreds of millions of pounds. 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.
- Strong grasp of statistics and modelling with an ability to derive actionable insights from patterns.
- 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. 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.
- Salary up to £120,000
- Early stage Equity Options
- Private Health Insurance
- Hybrid Office Working
Senior Machine Learning Engineer | Profitable B2B AI Platform | 3-4 Days per week Hybrid, Londo[...] in London employer: Owen Thomas | B Corp™
Contact Detail:
Owen Thomas | 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, Londo[...] in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those related to machine learning and AI. Share your GitHub link or any relevant work during interviews to demonstrate your expertise.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in machine learning. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that dream job. We love seeing candidates who take the initiative and are genuinely interested in joining our team!
We think you need these skills to ace Senior Machine Learning Engineer | Profitable B2B AI Platform | 3-4 Days per week Hybrid, Londo[...] in London
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 pipelines, and any relevant projects that showcase your skills in Python and SQL.
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 your background aligns with the company's mission. Don’t forget to mention specific projects or achievements that relate to demand prediction and resource optimisation.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in areas like Time Series Forecasting and MLOps. Mention any frameworks you’ve worked with, like PyTorch or Spark, to show you’re up to speed with the latest tech.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Owen Thomas | B Corp™
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around demand prediction and time series forecasting. Be ready to discuss your past projects and how you've applied these techniques in real-world scenarios.
✨Showcase Your Coding Skills
Since this role involves a lot of hands-on coding, be prepared to demonstrate your proficiency in Python and SQL. You might even face a coding challenge, so practice writing clean, efficient code that adheres to best practices.
✨Understand the Company’s Vision
Research the company’s current AI initiatives and how they’re innovating in the workforce sector. Being able to articulate how your skills align with their goals will show that you’re genuinely interested and invested in their mission.
✨Prepare for Team Collaboration Questions
This role requires working closely with data scientists and engineers, so expect questions about teamwork and collaboration. Think of examples where you’ve successfully partnered with others to solve complex problems or deliver projects.