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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 in Slough 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 in Slough
✨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 talk about your experience; showcase it! Create a portfolio of your projects, especially those related to machine learning and AI. Share your GitHub or any relevant work during interviews to demonstrate your hands-on skills.
✨Tailor Your Approach
When you’re applying, make sure to tailor your approach for each role. Highlight your experience with demand prediction and MLOps, and don’t forget to mention your familiarity with Python and AWS. This shows you’re not just sending out generic applications.
✨Apply Through Our Website
We encourage you to apply through our website for the best chance at landing that Senior Machine Learning Engineer role. It’s the quickest way for us to see your application and get in touch if we think you’re a great fit!
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 Slough
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 systems, 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 important 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 where you've tackled complex problems, particularly in demand prediction or resource optimisation. 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 AI initiatives and how they’re innovating in the flexible workforce space. Being able to articulate how your skills align with their goals will show that you’re genuinely interested and invested in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their approach to scaling machine learning models or how they handle data integration challenges. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.