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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 hybrid work, and receive private health insurance.
- Why this job: Make a real impact in AI while working on exciting projects with top brands.
- Qualifications: Strong background in machine learning, Python, and MLOps required.
- Other info: Collaborative environment with opportunities for career growth and equity options.
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.
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.
- 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 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.
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 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.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. Be ready to discuss your experience with MLOps and how you've tackled complex problems in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
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 pipelines, and any relevant projects that showcase your skills in Python and MLOps.
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 experiences that relate to demand prediction and resource optimisation.
Showcase Your Technical Skills: Be sure to list your technical skills clearly, especially those mentioned in the job description like Python, SQL, and any frameworks you’ve worked with. This helps us quickly see how you fit into our tech stack!
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 don’t miss out on any updates from us!
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 frameworks like PyTorch or Spark. Brush up on your MLOps knowledge too, as they’ll likely ask about your experience with deploying machine learning models.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of complex problems you've solved in previous roles. Think about how you’ve built demand forecasting models or optimised data systems, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Since this role is within a B2B AI platform, it’s crucial to understand how your work will impact the business. Research the company’s products and think about how machine learning can enhance their services, particularly in areas like demand prediction and resource optimisation.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, the team dynamics, or how they measure success for the machine learning models you’ll be working on. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.