At a Glance
- Tasks: Build cutting-edge reinforcement learning systems to optimise 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 environment with ambitious goals and exciting technical challenges.
- Why this job: Join a pivotal moment in AI, tackling complex problems with real-world impact.
- Qualifications: Strong experience in reinforcement learning and modern ML frameworks.
The predicted salary is between 80000 - 110000 £ per year.
Build Reinforcement Learning Systems For The Real World.
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 Basildon employer: Omnis Partners
Join a pioneering team in London that is at the forefront of AI innovation, where you'll tackle complex real-world challenges through reinforcement learning and cutting-edge technology. With a strong focus on sustainability and energy efficiency, this company fosters a collaborative and dynamic work culture that encourages continuous learning and professional growth. As part of a rapidly expanding organisation backed by fresh funding, you'll have the unique opportunity to shape the future of AI while working alongside passionate experts in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Basildon
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, or webinars related to AI and machine learning. Engaging with professionals in the field can lead to valuable connections and potential job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving reinforcement learning or real-world applications. 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 ML fundamentals and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, especially how you've tackled complex problems.
✨Tip Number 4
Don't forget to apply through our website! We have exciting opportunities waiting for talented individuals like you. Tailor your application to highlight your experience with reinforcement learning and your passion for solving real-world challenges.
We think you need these skills to ace Senior Data Scientist in Basildon
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re genuinely excited about tackling real-world problems with cutting-edge technology.
Tailor Your Experience:Make sure to highlight your hands-on experience with Reinforcement Learning and any relevant projects you've worked on. We love seeing how your background aligns with the challenges we face, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Show us you can communicate complex ideas simply – it’s a key skill for this role!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
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 or TensorFlow. Be ready to discuss your hands-on experience with RL, especially how you've applied it to real-world problems. Prepare examples that showcase your ability to turn complex challenges into practical ML solutions.
✨Showcase Your Problem-Solving Skills
This role is all about tackling messy, ambiguous problems. Think of specific instances where you've faced difficult challenges in your previous work. Be prepared to explain your thought process and the steps you took to arrive at a solution, especially in relation to energy efficiency or sustainability.
✨Familiarise Yourself with Real-World Applications
Understand how reinforcement learning can be applied to physical systems and critical infrastructure. Research the company's projects and be ready to discuss how your skills can contribute to their goals, particularly in reducing energy consumption in data centres.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your curiosity about the company’s technology and future direction. Inquire about their current challenges in deploying AI systems and how they envision the role of a Senior Data Scientist evolving as they grow. This shows you're genuinely interested and engaged.
