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Applied AI Engineer

WehrtyouLondon, United KingdomFull-time200,000 to 300,000 USD per yearPosted Nov 15, 2026

Wehrtyou has an opening for an Applied AI Engineer in London, United Kingdom. The listing describes it as a full-time position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Wehrtyou has an opening for an Applied AI Engineer in London, United Kingdom. The listing describes it as a full-time position.

The advert mentions Python, TypeScript, C++, Linux and machine learning among the skills and tools for this role.

Pay stated in the listing: 200,000 to 300,000 USD per year.

Benefits mentioned in the advert: bonus.

Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.

Dev Global Jobs found this job on Arbeitnow on Nov 15, 2026.

Employer
Wehrtyou
Location
London, United Kingdom
Job type
Full-time
Pay
200,000 to 300,000 USD per year
Found
Nov 15, 2026 on Arbeitnow
Employer text
828 words, about 4 min to read
Skills named in the advert
PythonTypeScriptC++Linuxmachine learning
Before you apply
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  • Mirror the skills the advert names (Python, TypeScript, C++ and Linux) in your CV where you really have them; applicant tracking systems look for these words.
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DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 15, 2026
Pay benchmark
Average wage, United Kingdom
GBP 46,511 average / year

Source: OECD Average annual wages, 2025

Cost of living · United Kingdom
100.6 vs New York = 100

UN living-cost index for United Kingdom (ICSC post adjustment 76.6), as of 1 Nov 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
  • Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
  • Global Talent visa: Endorsement as a leader or potential leader in a listed field

Official routes: UK Visas and Immigration (GOV.UK)

Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

At Hudson River Trading (HRT) the Applied AI team’s mission is to increase the speed and quality of work across the firm’s most consequential workflows. We build AI systems that help researchers and developers iterate faster, automate increasingly complex work, and enable autonomous exploration at a scale that would not otherwise be possible.

We apply frontier models and agentic systems to how quantitative research, software development, and other critical work at HRT gets done. We combine cutting-edge commercial and open-source models and tools with infrastructure, research, and systems of our own.

Our work spans the full stack required to make this successful: AI infrastructure, research engineering, post-training and reinforcement learning, agent evaluation, security and alignment, and deployment into real workflows.

01Responsibilities

Depending on your experience and interests, your work may include:

  • Building scalable infrastructure for training, evaluating, and operating language models and AI agents
  • Developing research environments, evaluation systems, and experimentation platforms that allow us to measure and improve agent performance
  • Improving model and agent capabilities through post-training, reinforcement learning, prompting, tool design, and workflow optimization
  • Designing sandboxing, policy enforcement, monitoring, and other safeguards for increasingly capable autonomous systems
  • Partnering with teams across HRT to identify work AI can newly perform, develop effective solutions, and turn successful experiments into durable systems
  • Evaluating new models, techniques, and products, and making informed decisions about when to build, buy, or adapt them
  • Sharing technical knowledge and establishing effective practices for building and working with AI across HRT

02Profile

  • You are an excellent engineer who can turn ambiguous problems into working systems
  • You learn unfamiliar technical and business domains quickly and enjoy moving between them
  • You care about advancing what AI systems can reliably accomplish
  • You use rigorous measurement and experiment design to guide decisions
  • You are comfortable operating across research and production engineering
  • You communicate clearly and collaborate well with people from different technical backgrounds
  • You are curious about the capabilities, limitations, and risks of increasingly autonomous systems

We do not expect any candidate to have prior experience in every area covered by the team. We value demonstrated depth, strong engineering judgment, and the ability to learn.

03Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience required
  • Strong Python proficiency required
  • Excellent software design, debugging, and problem-solving skills required
  • Experience building and operating substantial software systems required
  • Demonstrated engagement with modern AI systems, tools, or research required

Experience in one or more of the following is helpful:

  • Machine learning research or engineering, including post-training, fine-tuning, reinforcement learning, or alignment
  • AI-agent architecture, evaluation, or tool-use environments
  • Distributed systems, model serving, orchestration, or high-throughput research infrastructure
  • Security sandboxing, policy enforcement, adversarial testing, or governance for AI systems
  • Forward-deployed engineering: working closely with users to discover, build, and operationalize new capabilities
  • Linux, systems performance, networking, C++, or TypeScript

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

04Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues, whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended.

You can review our Global Applicant Privacy Notice, which explains how we process applicant information.

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