Verified from career page · Posted 3d ago

Arva AI

AI Research Engineer

Arva AI

London

Mid-level

Machine learningComputer visionLLM / GenAITypeScript

Last seen just now

Posted
3d ago

Posted on 24 September 2026

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

AI Research Engineer

As an AI Researcher, you’ll play a pivotal role in developing and improving our in-house models—training, fine-tuning, and evaluating LLMs and agentic systems that power our AI compliance platform, from document fraud detection to web-scale due diligence.

Apply now

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Location

London, UK

Location Type

On site

Department

Research

work time

Full-time

Apply now

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Location:

In person, Central London, 4-5 days in office

Type:

Full-Time

NB:

We are able to sponsor visas

Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML reviews, while cutting operational costs by 80%.

As an

AI Research Engineer

, you’ll play a pivotal role in building our in-house models—training, fine-tuning, and rigorously evaluating LLMs and agentic systems that power our AI compliance platform, from document fraud detection to web-scale due diligence. You’ll also develop the automation and infrastructure that continuously tests and improves performance (evals, data/label pipelines, training loops, and iterative fine-tuning/distillation).

About the Role

As an AI Researcher, you will:

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 our models

, leveraging human-in-the-loop feedback to drive dataset curation, fine-tuning/distillation, and optimisation of model behaviour.

Stay on the frontier and translate research into impact

, exploring and applying new AI methods to improve model quality, explainability, latency, and reliability in production.

What You’ll Do

Evals:

Build benchmarks, evaluate backtests and analyse results to quantify our 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 tailored to solve unique compliance challenges.

AI features:

Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans.

MLOps:

Ensure that we maintain good practices around collecting and managing datasets, backtests and benchmarks to to maximise development velocity

Prompt Engineering:

Develop and test prompts to optimise model performance and deliver high-quality outputs.

Collaboration:

Work closely with the engineering and product teams to translate customer needs into actionable AI solutions.

Iterate:

Continuously iterate on our AI systems to improve performance, reduce errors, and deliver value to customers.

Our Culture

Deliver Value Fast

Speed starts with clarity. We first understand what value actually means, for the customer, the business, or the system, and then take the shortest credible path to delivering it. We move quickly without cutting corners on quality, security, or trust.

Outcome Obsessed

We obsess over details and take full ownership of wider outcomes, not just tasks. We think like the user, execute with rigor, and validate that every detail works in real conditions. If something falls short, we fix it properly and prevent recurrence, always raising the bar.

Relentless Urgency

We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively. Urgency means focus, momentum, and driving meaningful progress without unnecessary delay.

What We’re Looking For

Experience:

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

Technical Expertise:

Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models, including vision models. Experience using TypeScript a plus.

Product Mindset:

Strong understanding of how AI can solve real-world problems, with a focus on customer needs.

Interests:

Ability to stay updated with the latest advancements in AI and apply them effectively.

Collaboration:

Excellent communication skills to work across teams and explain complex AI concepts to non-technical stakeholders.

Ownership:

A proactive, problem-solving mindset with the ability to take full responsibility for projects and outcomes.

Growth-Oriented:

Excited to learn new skills, tackle challenges, and adapt as the company scales.

Why Join Us?

Be part of an early-stage startup with significant ownership and influence over the AI strategy.

Work on cutting-edge AI technologies that transform how businesses operate.

Collaborate with a passionate, mission-driven team dedicated to innovation.

Work from anywhere in the world for 4 weeks a year, in addition to regular team off-sites.

Competitive salary and equity package, with bi-annual salary review and yearly performance based equity refresh.

Ready to Join the Fight Against Financial Crime?

If you’re excited to shape the future of compliance with state-of-the-art AI solutions, we’d love to hear from you. Apply now to become an Arvanaut as an AI Researcher.

AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.

© 2026 Arva AI Inc.

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AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.

Product

AgentStudio

AgentCore

Screening Al

Onboarding AI

Transaction Monitoring Al

EDD AI

Lending AI

Research

Use Cases

Banks

Credit Unions

Fintechs

Crypto & Trading

Company

Trust

About

Blog

Case Studies

Careers

Press

Contact

Book a demo

© 2026 Arva AI Inc.

Legal

Privacy Policy

Cookie Settings

AI research powering Agents for critical banking operations with industry-leading accuracy. From financial crime compliance to lending.

Product

AgentStudio

AgentCore

Screening Al

Onboarding AI

Transaction Monitoring Al

EDD AI

Lending AI

Research

Use Cases

Banks

Credit Unions

Fintechs

Crypto & Trading

Company

Trust

About

Blog

Case Studies

Careers

Press

Contact

Book a demo

© 2026 Arva AI Inc.

Legal

Privacy Policy

Cookie Settings

About Arva AI

Arva AI automates financial-crime checks for banks — KYB, sanctions and the onboarding decisions that currently sit in a human review queue. London, $3m raised, and small enough that the engineering roles are forward-deployed and founding ones.

Apply at Arva AI

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