At a Glance
- Tasks: Join a dynamic team to research and develop advanced AI systems for real-world applications.
- Company: Exciting early-stage startup focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with opportunities to shape the future of AI.
- Why this job: Make a significant impact in AI research while working with cutting-edge technology.
- Qualifications: PhD/MSc or substantial experience in AI, ML, or related fields required.
The predicted salary is between 70000 - 90000 £ per year.
This early-stage, well-funded startup is building advanced AI systems that model and simulate complex real-world behaviour at scale. Their platform enables organisations to test decisions, scenarios and strategies using large-scale AI-driven simulations, dramatically reducing time-to-insight compared to traditional approaches. Following strong early traction and funding injection, they're looking for 2x AI Engineers with deep research expertise to join a small, highly technical team working at the intersection of large language models, agent systems and scalable backend infrastructure.
Responsibilities
- Formulating research questions about human / agent behaviour
- Designing experiments on synthetic populations
- Validating model behaviour against real-world data
- Deciding what architectures and methods should exist, not just implementing them
Requirements
- PhD / MSc or substantial research experience in AI, ML, CS, Cognitive Science, Physics, Mathematics, or a related field
- Demonstrated ability to conduct independent, hypothesis-driven research
- Strong grounding in experimental design, statistical validation, quantitative evaluation
- Strong software engineering fundamentals in Python and backend frameworks like FastAPI, Flask, Django
- Hands-on experience working with ML / AI models (LLMs, NLP, simulation, or related areas)
- Comfortable working in ambiguity, where the right question is often unclear at the start
Bonus points for:
- Familiarity with fine-tuning workflows, model optimisation and experiment tracking
- Experience with multi-agent systems, simulations or agent-based modelling
- Experience building workflows/agents on top of existing models
- Experience with relational databases and vector search / embedding systems
- Knowledge of cloud infrastructure, containerisation and deploying ML systems to production
- Experience working in fast-moving environments with evolving requirements
AI Research Engineer in London employer: Gravity Engineering Services Pvt Ltd.
Join a pioneering startup that is at the forefront of AI innovation, where you will collaborate with a small, highly skilled team dedicated to pushing the boundaries of technology. With a strong emphasis on employee growth and a culture that fosters creativity and experimentation, this role offers the unique opportunity to shape the future of AI systems in a dynamic environment. Located in a vibrant tech hub, you'll benefit from a supportive network and access to cutting-edge resources, making it an ideal place for passionate individuals seeking meaningful and rewarding work.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
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We think you need these skills to ace AI Research Engineer in London
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