AI Research Engineer

AI Research Engineer
Central London (Office-Based 4-5 Days per Week)
80,000 - 120,000 + Equity Package + Bi-Annual Salary Reviews + Annual Equity Refresh + 4 Weeks Remote Working Abroad
Are you an AI Research Engineer looking to work at the forefront of large language models, agentic AI systems and computer vision, where you'll have the opportunity to build and fine-tune cutting-edge models that are transforming financial crime compliance while playing a key role in shaping the AI strategy of a rapidly growing technology business?
This is an exciting opportunity to join an ambitious AI-driven company developing innovative solutions that help financial institutions automate complex compliance and anti-money laundering processes. Working within a highly talented team, you'll have significant ownership over AI development and the chance to directly influence product direction.
In this role, you'll be responsible for building, evaluating and improving AI systems across LLMs, agentic workflows and vision models. You'll develop benchmarks and evaluation frameworks, fine-tune foundation models, build custom AI models and create automated feedback loops to continuously improve performance. You'll work closely with engineering and product teams to deliver robust AI solutions that solve real-world compliance challenges.
The ideal candidate will have experience within AI research or AI engineering, including hands-on work with LLMs, model fine-tuning and agentic systems. Experience with computer vision, model evaluation frameworks and MLOps practices would be highly beneficial. This is an excellent opportunity for someone who thrives in a fast-paced environment and wants to work on genuinely impactful AI technology.
The Role:

• Build, evaluate and optimise LLM, agentic AI and computer vision systems
• Fine-tune and train custom AI models for specialist compliance applications
• Develop benchmarks, back testing frameworks and evaluation pipelines
• Implement continuous improvement loops using human feedback and model iteration
• Work closely with engineering and product teams to deliver AI-driven features

The Person:

• 3+ years' experience in AI Research, Machine Learning or AI Engineering
• Strong experience with LLMs, prompt engineering and model fine-tuning
• Experience building, testing or deploying agentic AI systems
• Knowledge of model evaluation, benchmarking and MLOps best practices
• Passion for emerging AI technologies and solving real-world problems

Reference Number: BBBH(phone number removed)

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The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.

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