Senior Research Engineer

JR United Kingdom; Slough; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading AI-driven quantitative research firm is seeking a Senior Research Engineer with expertise in deep learning and LLMs. The role involves designing AI models, conducting research, and collaboration within the financial sector. Candidates should possess significant experience and a master's degree, with a preference for Ph.D. holders. Join a team dedicated to innovation and inclusivity.

Qualifications

• Minimum five years experience in AI research or engineering.
• Proven track record with AI-driven solutions in finance.
• Strong understanding of mathematical foundations of deep learning.

Responsibilities

• Design and train large AI models, focusing on LLMs.
• Conduct original research in deep learning and LLMs.
• Collaborate with cross-functional teams for effective solutions.

Skills

Deep Learning

AI/ML Principles

Programming in Python

Collaboration

Communication Skills

Education

Master's Degree in Computer Science, AI, or ML

Ph.D. in a related field (preferred)

Tools

TensorFlow

PyTorch

CUDA

Cloud Computing (AWS, GCP, Azure)

Version Control Systems (Git)

Job description

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AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models (LLMs) to build novel solutions across multiple modalities. Now in our second year, we have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim.

Senior Research Engineer

We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The successful candidate will collaborate with team members to advance our AI capabilities.

Responsibilities

• Design, develop, implement, and train very large AI models, with a focus on LLMs.
• Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain.
• Collaborate with portfolio managers, quants, traders, and engineers to understand business needs and translate them into effective AI/ML solutions.
• Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models.
• Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team.
• Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation.
• Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration.

Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is preferred.
• Minimum five years of experience in AI research or engineering, with a demonstrable focus on deep learning and LLMs.
• Proven track record of developing and implementing successful AI-driven solutions, ideally within the financial services industry.
• Strong understanding of the mathematical foundations of deep learning, including multivariate calculus, linear algebra, and optimization techniques.
• Proficient in Python and deep learning frameworks such as TensorFlow and PyTorch. Experience with CUDA kernels and GPU profiling is a plus.
• Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical audiences.
• Knowledge of quantitative finance, time series modeling, and trading strategies is highly desirable.

Desired Skills

• Experience with specific LLM architectures (e.g., Transformers, RNNs).
• Familiarity with time series analysis techniques.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
• Strong software engineering skills and experience with version control systems (e.g., Git).
• Ability to work independently and as part of a team.

While we understand the company information might be limited, we're happy to be transparent about our goals during the screening and interview process.

At AGITProp, we believe AI's strength comes from the diversity of its creators. We're dedicated to building an inclusive and welcoming environment where people of all backgrounds and experiences can flourish. We know that a diverse team brings broader perspectives, more innovative solutions, and ultimately, better outcomes.