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AI Research Engineer

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London, England£80k - £120kFull-timePosted 8mo ago

About the role

AI Research Engineer at Arva AI, an early-stage startup building in-house AI models and automation for financial crime intelligence. In-person role in Central London, with visa sponsorship available. Focus on training, fine-tuning, evaluating LLMs and agentic systems, MLOps, data pipelines, and collaboration with engineering/product teams to deliver AI-powered compliance features.

Responsibilities

  • Build and iterate on in-house LLM and agentic capabilities, integrating them into product features with rigorous evaluation, benchmarking, and backtesting across real compliance workflows.
  • Design continuous-improvement loops for models, leveraging human-in-the-loop feedback for dataset curation, fine-tuning/distillation, and optimization of model behaviour.
  • Stay on the frontier and translate research into impact, applying new AI methods to improve model quality, explainability, latency, and reliability in production.
  • Evals: Build benchmarks, evaluate backtests and analyse results to quantify performance and prevent regressions.
  • Model Fine-Tuning: Adapt and fine-tune large language models and vision models for specific use cases.
  • Custom Model Training: Train and deploy bespoke AI models for unique compliance challenges.
  • AI features: Use latest in LLMs, agents and computer vision to build faster, more thorough and accurate systems.
  • MLOps: Maintain good practices around datasets, backtests and benchmarks to maximise development velocity.
  • Prompt Engineering: Develop and test prompts to optimise model performance and outputs.
  • Collaboration: Work with engineering and product teams to translate customer needs into actionable AI solutions.
  • Iterate: Continuously improve AI systems to enhance performance and deliver customer value.

Qualifications

  • Experience: 3+ years in an AI research or engineering role, with experience building and testing agentic systems.

Skills

Required:prompt engineeringfine-tuningtraining custom models
Nice to have:vision models

Benefits

  • Work from anywhere in the world for 4 weeks a year, plus regular team off-sites.
  • Competitive salary and equity package, with bi-annual salary review and yearly performance-based equity refresh.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Arva AI

AI Agents to scale AML, KYB and KYC operations

Banks and fintechs have large teams of human analysts who conduct manual checks and reviews. We replace those human compliance analysts with AI agents that automate 80% of the manual work for faster and more compliant financial crime (AML) reviews. Our first three products are: Screening AI (discount 91% of screening alerts), KYB/C AI (speed up onboarding), Transaction Monitoring AI (handle AML transaction monitoring alerts) Our end goal is to have a whole suite of AI workers that can handle manual compliance work for banks and fintechs. A $24B opportunity in the US alone.

artificial-intelligencefintechb2bcomplianceregtech

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