Machine Learning Researcher

Adamas Knight; London; On-site; GBP 60,000 - 120,000; Full time

Benefits offered by this job

Highly competitive compensation

Generous performance-based bonuses

Access to extensive compute resources

30 days of paid leave annually

Employer pension contributions

Daily catered lunch and barista service

Flexible work culture

Comprehensive healthcare coverage

Monthly team events

Job summary

Adamas Knight seeks a Machine Learning Researcher to join their AI Lab in London, focusing on applied deep learning for trading. Candidates should possess advanced expertise in machine learning and strong programming skills in Python. The role offers a collaborative environment, competitive compensation, and access to extensive computing resources.

Qualifications

• Advanced degree or equivalent industry experience applying ML.
• Strong publication record in top-tier venues or impressive performance in ML competitions.
• Ability to formulate research questions and design experiments.

Responsibilities

• Build and train deep learning models for trading strategies.
• Analyze model performance and design architectures for trading signals.
• Collaborate with researchers and engineers in an AI lab environment.

Skills

deep learning

reinforcement learning

NLP

Bayesian methods

strong programming skills (Python)

Education

advanced degree in machine learning, statistics, or applied math

Tools

PyTorch

TensorFlow

NumPy

Pandas

Job description

This range is provided by Adamas Knight. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Adamas Knight

We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading.

On their AI team, you’ll build and train deep learning models that directly power their trading strategies, supported by a massive and rapidly expanding compute cluster (thousands of H100s/200s). The challenges here are unique: ultra-low latency, vast and noisy datasets, constantly shifting dynamics, and tight feedback loops. These constraints demand original thinking and new techniques.

Researchers, engineers, and traders work closely together (often side by side) to train models, build systems, and run live strategies. One day you might be optimising training performance across thousands of GPUs; the next, you’re analysing how a model trades in production or designing a new architecture to capture subtle market signals.

They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML-driven trading. You’ll also contribute to hiring, mentor teammates, and share insights from the broader research community through papers, internal talks, and conference travel.

Who We’re Looking For

We’re open to a range of backgrounds and experiences, but the ideal candidate will have:

• An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems
• Expertise in one or more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methods
• Strong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlow
• A strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platforms
• The ability to independently formulate research questions and design experiments to answer them
• A desire to work on applied problems where real-world performance and feedback matter

What They Offer

• Highly competitive compensation and generous performance-based bonuses
• Access to extensive compute resources, including large-scale GPU clusters
• A collaborative and intellectually stimulating research environment
• 30 days of paid leave annually
• Employer pension contributions
• Daily catered lunch and barista service
• Flexible work culture with a focus on sustainability and well-being
• Comprehensive healthcare and life insurance coverage
• Monthly team events and regular conference attendance

At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research and Engineering

• Industries

  Software Development

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