At a Glance
- Tasks: Build and scale innovative AI models for major brands in a dynamic team.
- Company: Join a leading UK brand revolutionising workforce solutions with AI.
- Benefits: Earn up to £120,000, enjoy hybrid work, and receive private health insurance.
- Other info: Collaborative environment with opportunities for equity and career growth.
- Why this job: Make a real impact on cutting-edge AI projects that transform industries.
- Qualifications: Strong ML experience, proficiency in Python, and a passion for innovation.
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 | B CorpTM
Join a leading UK brand at the forefront of AI innovation, where you'll have the opportunity to work on groundbreaking projects that are transforming the way businesses manage their workforce. With a strong focus on employee growth, a collaborative work culture, and the flexibility of a hybrid working model, this company not only offers competitive salaries but also early-stage equity options and private health insurance, making it an exceptional place for talented individuals looking to make a meaningful impact in the tech industry.
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 potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 you an edge and demonstrate your hands-on experience to potential employers.
✨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
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are excited about revolutionising the AI space with us.
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 reflects the skills and experiences that match the job description. Highlight your MLOps experience and any relevant projects you've worked on, especially those involving demand prediction or resource optimisation.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for this role. Share specific examples of your work with machine learning models and how they’ve driven results.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and any frameworks like PyTorch or Spark. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
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 it gets into the right hands quickly. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Owen Thomas | B CorpTM
✨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.
