At a Glance
- Tasks: Build cutting-edge reinforcement learning systems that tackle real-world challenges.
- Company: Innovative AI company focused on sustainability and energy efficiency.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic team with ambitious goals and exciting technical challenges.
- Why this job: Join a pivotal moment in AI development and make a tangible impact on the world.
- Qualifications: Strong experience in reinforcement learning and practical ML solutions.
The predicted salary is between 80000 - 110000 £ per year.
Build Reinforcement Learning Systems For The Real World
£80k – £110k London, Hybrid
Why is this exciting? Because this sits at the convergence of several areas that are becoming increasingly important:
- Reinforcement Learning
- Physical AI
- Digital Twins & Simulation
- Federated Learning
- Edge AI
- Critical Infrastructure
- Sustainability
Most AI companies are building tools that generate content. This team is building AI that makes decisions in the real world. Backed by fresh funding and entering a major growth phase, they're developing a new generation of AI systems capable of learning, adapting and optimising complex physical environments.
Their first challenge? Reducing the energy consumption of data centres through reinforcement learning and distributed AI. The problems are messy, ambiguous and genuinely difficult. You'll be working with real telemetry, real constraints and real-world systems where model performance has a direct impact on energy efficiency, sustainability and operational outcomes.
This isn't about tweaking prompts or wrapping foundation models. It's about building intelligent systems that can learn how the physical world behaves and make better decisions because of it.
They're looking for someone who combines strong machine learning fundamentals with the curiosity to understand how complex systems actually work. Someone who enjoys moving between research, experimentation and production, and gets excited by solving problems that don't already have a playbook.
You'll have the opportunity to work across reinforcement learning, simulation, federated learning and next-generation AI systems, helping shape technology that extends far beyond a single use case. For the right person, this is a chance to join at a pivotal moment. The team is growing, the roadmap is ambitious, and the technical challenges are the kind that attract people who want to push the boundaries of what AI can actually do.
Experience required:
- Strong hands-on experience with Reinforcement Learning (RL)
- Python and modern ML frameworks (PyTorch, JAX, TensorFlow)
- Experience working with time-series or sensor data
- Ability to turn real-world problems into practical ML solutions
- Comfortable taking models from research into production
- Educated to degree level (or higher) in ML, Physics, Engineering, Mathematics or a related field
Nice to Have:
- Control systems, optimisation or simulation experience
- Federated Learning, Edge AI or Distributed ML
- Digital twins, thermodynamics or physical systems knowledge
- Safe RL, Offline RL, GNNs or Multi-Agent Systems
- MSc/PhD or published research in a relevant field
Ideal Profile:
Someone who enjoys solving hard, real-world problems at the intersection of AI, engineering and physical systems.
Senior Data Scientist in Warrington employer: Omnis Partners
Join a pioneering team at the forefront of AI innovation, where you'll tackle complex real-world challenges in sustainability and energy efficiency. With a strong emphasis on employee growth, collaborative work culture, and cutting-edge projects, this role offers a unique opportunity to contribute to meaningful advancements in reinforcement learning and physical AI. Located in London, you'll benefit from a hybrid working model that promotes work-life balance while being part of a dynamic environment that values curiosity and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Warrington
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and data science community. Attend meetups, webinars, or conferences where you can chat with industry leaders and potential colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving reinforcement learning and real-world applications. Share it on platforms like GitHub or your personal website. This gives employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s projects and challenges. Understand their approach to AI and think about how your experience with RL and ML frameworks can contribute. Tailor your responses to show how you can tackle their specific problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about pushing the boundaries of AI. Your next big opportunity could be just a click away, so make sure you get your application in!
We think you need these skills to ace Senior Data Scientist in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your hands-on experience with Reinforcement Learning and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background fits with our goals at StudySmarter. Don't forget to mention your passion for solving complex problems in AI and engineering.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving RL or real-world applications, make sure to include them. We love seeing practical examples of your work and how you've tackled challenges in the past!
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 shows you’re keen on joining our team at this exciting time!
How to prepare for a job interview at Omnis Partners
✨Know Your Reinforcement Learning Inside Out
Make sure you brush up on your reinforcement learning concepts and frameworks like PyTorch, JAX, or TensorFlow. Be ready to discuss your hands-on experience with RL and how you've applied it to real-world problems, especially in energy efficiency or complex systems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled messy, ambiguous problems in the past. Highlight your ability to turn theoretical knowledge into practical ML solutions, especially when working with time-series or sensor data.
✨Demonstrate Your Curiosity
This role is all about understanding complex systems, so be prepared to discuss your curiosity and passion for learning. Talk about any projects where you've explored new technologies or methodologies, particularly in areas like federated learning or edge AI.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions that show your interest in the company's mission and challenges. Inquire about their current projects in reducing energy consumption or how they approach the integration of AI in physical systems.
