At a Glance
- Tasks: Build and scale innovative AI models for a leading B2B platform.
- Company: Join a UK household brand revolutionising workforce solutions with AI.
- Benefits: Enjoy a competitive salary, private health insurance, and hybrid working.
- Other info: Collaborate with a talented team and grow your career in a thriving industry.
- Why this job: Make a real impact on cutting-edge AI projects in a dynamic environment.
- Qualifications: Experience in machine learning, Python, and data systems is essential.
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.
Senior Machine Learning Engineer | Profitable B2B AI Platform | 3-4 Days per week Hybrid, London, Up to £120,000 in City of London employer: Owen Thomas | Pending 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, competitive salary, and private health insurance, this role provides an excellent opportunity for professional growth while working on cutting-edge AI solutions that directly impact the hospitality industry. Embrace the chance to tackle complex challenges alongside a talented team, all within the vibrant city of London.
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 in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 potential employers a taste of what you can do and set you apart from the crowd.
✨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. We want to see how you think and solve problems!
✨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 hearing from passionate candidates who are eager to join our innovative team.
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 in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning, especially in demand prediction and resource optimisation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and how you’ve tackled complex problems in the past. Keep it engaging and personal – we love to see your personality shine through!
Showcase Your Technical Skills:Be sure to mention your proficiency in Python, SQL, and any experience with AWS or CI/CD automation. We’re looking for someone who can hit the ground running, so highlight any hands-on experience you have with these technologies.
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’re considered for the role. Plus, it makes the process smoother for everyone involved!
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 demonstrate 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 shows you’re not just interested in the job, but also in the company’s direction.
