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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI systems in finance and space operations.
- Company: Join Braintrust, a forward-thinking tech company with a remote-friendly culture.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact by working on innovative AI projects with a small, dedicated team.
- Qualifications: Expertise in probabilistic modeling, time-series forecasting, and modern AI architectures required.
- Other info: Remote role with significant overlap in US Eastern time; great for high-ownership individuals.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a senior engineer with deep expertise in probabilistic modeling, time-series forecasting, and modern AI architectures such as JEPA and reinforcement learning. This role is ideal for someone who thrives in noisy, high-uncertainty domains such as finance or space operations and can drive production-grade deployment of AI systems. You will work on a small, high-ownership team focused on building real, end-to-end systems — not just experiments. Remote-friendly, with significant overlap in US Eastern time preferred.
Contract-to-Hire
Contract-to-hire with a partial timezone overlap: PST 6am-12pm (flexible).
Core Mathematical & Modeling Skills
- Deep probability theory and statistics
- Strong time-series experience in noisy, high-uncertainty domains (finance/crypto strongly preferred; space or industrial operations also valued)
- Comfortable with uncertainty quantification, false positives, noisy signals, proper evaluation metrics
Methodologies & Architectures
- Hands-on building and training of:
- Joint Embedding Predictive Architectures (JEPA-style)
- Reinforcement Learning (offline RL, Decision Transformers, etc.)
- Modern transformers for sequence/decision modeling
- Bayesian/probabilistic methods and uncertainty estimation experience
Systems, Deployment & Data Pipelines
- Containerized model deployment and orchestration (Singularity, Apptainer, multi-node)
- Building and maintaining large-scale training/inference pipelines
- Experience with HPC/supercomputing environments (job submission, large datasets, node-hour scaling) is a strong plus
Application Domains
- Trading / financial time-series
- Space operations and industrial facility monitoring
- Hierarchical agentic systems and workflow automation
General Profile
- Ships production-grade systems, not just research notebooks
- Can produce and present tangible evidence of progress (plots, graphs, statistics, MLflow dashboards, etc.) to highly technical stakeholders
- Small team, high ownership, remote-friendly (significant US Eastern time overlap)
Seniority Level Mid-Senior level
Employment Type Full-time
Industry Technology, Information and Internet
Senior AI Systems & Time-Series Engineer (Global - Remote) in London employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Systems & Time-Series Engineer (Global - Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or through relevant forums. A personal connection can often get you noticed faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems and time-series forecasting. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common questions related to probabilistic modeling and AI architectures to stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior AI Systems & Time-Series Engineer (Global - Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with probabilistic modelling and time-series forecasting. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI systems and how your background in high-uncertainty domains makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: Include links or references to any real-world systems you've built or contributed to. We love seeing tangible evidence of your work, like dashboards or models, so make sure to highlight those achievements!
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’s super easy!
How to prepare for a job interview at Braintrust
✨Master the Technical Skills
Make sure you brush up on your deep probability theory, statistics, and time-series forecasting. Be ready to discuss your hands-on experience with JEPA and reinforcement learning, as well as how you've tackled uncertainty in noisy environments like finance or space operations.
✨Showcase Your Real-World Experience
Prepare to present tangible evidence of your work. Bring along plots, graphs, or MLflow dashboards that demonstrate your ability to ship production-grade systems. This will help you stand out as someone who can deliver real results, not just theoretical knowledge.
✨Understand the Company Culture
Research Braintrust and their approach to AI systems. They value high ownership and teamwork, so be ready to discuss how you thrive in small teams and contribute to collaborative projects. Highlight any remote work experience you have, especially in overlapping time zones.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills in high-uncertainty domains. Think about past challenges you've encountered and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
