At a Glance
- Tasks: Build and scale innovative AI models that transform workforce management.
- Company: Join a leading UK brand revolutionising the flexible workforce with AI.
- Benefits: Earn up to £120,000, enjoy equity options, and private health insurance.
- Other info: Hybrid work model with opportunities for career growth and innovation.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: Strong background in machine learning, Python, and data systems.
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 looked at before.
RoleYou 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[...] employer: Owen Thomas | B Corp™
Join a leading UK household brand that is at the forefront of innovation in the B2B AI sector, offering a dynamic work culture that values collaboration and creativity. With a hybrid working model and a competitive salary of up to £120,000, employees benefit from early-stage equity options and private health insurance, all while contributing to groundbreaking AI solutions that enhance workforce flexibility. This role not only provides the opportunity to work on cutting-edge technology but also fosters professional growth within a supportive environment focused on excellence and impact.
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[...]
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to demonstrate what you can do beyond just words on a page.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you, and applying directly can sometimes give you an edge.
We think you need these skills to ace Senior Machine Learning Engineer | Profitable B2B AI Platform | 3-4 Days per week Hybrid, Londo[...]
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 our mission at StudySmarter. Be sure to mention specific experiences that relate to demand prediction and resource optimisation.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving time series forecasting or MLOps, make sure to include them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly 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 resource optimisation. Be ready to discuss your past projects and how you've applied your skills in Python, SQL, and any relevant frameworks like PyTorch or Spark.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some complex problems during the interview. Think about how you would approach building a demand forecasting model or designing a robust data system. Practise explaining your thought process clearly and logically.
✨Understand the Company’s Vision
Research the company and its innovative AI features. Be prepared to discuss how your experience aligns with their goals and how you can contribute to revolutionising their product. Showing genuine interest will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the industry. Inquire about their current challenges in machine learning or how they envision the future of their AI solutions. This shows you're engaged and eager to be part of their journey.
