AI Research Engineer in London

AI Research Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Arva AI

At a Glance

  • Tasks: Build and fine-tune AI models to revolutionise financial crime compliance.
  • Company: Join Arva AI, a pioneering startup transforming financial crime intelligence.
  • Benefits: Competitive salary, equity options, remote work opportunities, and bi-annual reviews.
  • Other info: Collaborative culture with significant ownership and influence over AI strategy.
  • Why this job: Make a real impact with cutting-edge AI technology in a fast-paced environment.
  • Qualifications: 3+ years in AI research, strong technical skills, and a proactive mindset.

The predicted salary is between 60000 - 80000 £ per year.

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

Type: Full-Time

NB: We are able to sponsor visas

Note on Salary: For exceptional candidates with strong product impact and relevant experience, we are open to offering compensation above the specified range.

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 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 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.
  • Relentless Urgency: We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively.

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.
  • 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 Research Engineer.

AI Research Engineer in London employer: Arva AI

Arva AI is an exceptional employer located in the heart of Central London, offering a dynamic work culture that prioritises speed, ownership, and innovation. As an AI Research Engineer, you will have the opportunity to work on groundbreaking technologies while enjoying significant growth potential, competitive compensation, and the flexibility to work remotely for part of the year. Join a passionate team dedicated to transforming financial crime intelligence and make a meaningful impact in the industry.

Arva AI

Contact Details:

Arva AI Recruitment Team

We think you need these skills to ace AI Research Engineer in London

AI Research
Large Language Models (LLMs)
Agentic Systems
Model Fine-Tuning
Custom Model Training
Prompt Engineering
MLOps