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 Chelmsford 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 in reinforcement learning and sustainability. With a hybrid work model, competitive salary, and a culture that fosters curiosity and collaboration, this company offers exceptional growth opportunities for those eager to push the boundaries of technology. Be part of a dynamic environment that values your expertise and encourages you to make a tangible impact on critical infrastructure and energy efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Chelmsford
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to AI and data science. You never know who might have a lead on that perfect Senior Data Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving reinforcement learning and real-world applications. This will give potential employers a taste of what you can do and how you tackle complex problems.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each company. Research their projects and challenges, and mention how your experience with Python and ML frameworks can help them achieve their goals. Make it personal!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll get noticed faster and have a better chance of landing that dream job in AI and reinforcement learning.
We think you need these skills to ace Senior Data Scientist in Chelmsford
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and reinforcement learning shine through. We want to see that you’re not just ticking boxes but genuinely excited about solving 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 on those details!
Be Clear and Concise:While we appreciate creativity, clarity is key in your application. Use straightforward language to explain your skills and experiences. We want to understand your journey without getting lost in jargon or overly complex explanations.
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. Plus, it shows you’re serious about joining our team!
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. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in the past, particularly those involving time-series or sensor data. Highlight how you approached these challenges and the practical ML solutions you developed. This will demonstrate your ability to think critically and creatively in ambiguous situations.
✨Familiarise Yourself with Their Tech Stack
Research the specific technologies and methodologies the company uses, such as federated learning or digital twins. If you have experience with these areas, be sure to mention it. Showing that you understand their tech stack will help you stand out as a candidate who is ready to hit the ground running.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future goals, especially regarding sustainability and energy efficiency. This not only shows your genuine interest in the role but also your understanding of the broader implications of AI in real-world applications. It’s a great way to engage with the interviewers and leave a lasting impression.
