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- Tasks: Join our AI Lab to build and train deep learning models for trading strategies.
- Company: Adamas Knight is a forward-thinking company pushing the boundaries of AI in finance.
- Benefits: Enjoy competitive pay, 30 days paid leave, flexible work culture, and daily catered lunches.
- Why this job: Work on cutting-edge challenges with a collaborative team and make a real-world impact.
- Qualifications: Advanced degree or equivalent experience in machine learning; strong programming skills in Python required.
- Other info: Diversity is valued; we encourage applicants from all backgrounds to apply.
The predicted salary is between 43200 - 72000 £ per year.
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 KnightWe\’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 ForWe\’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 problemsExpertise in one or more of: deep learning, reinforcement learning, non-convex optimisation, approximate inference, NLP, or Bayesian methodsStrong programming skills, ideally in Python, with experience using tools like NumPy, Pandas, JAX, PyTorch or TensorFlowA strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR) or competitive performance in ML challenges such as Kaggle or similar platformsThe ability to independently formulate research questions and design experiments to answer themA desire to work on applied problems where real-world performance and feedback matterWhat They OfferHighly competitive compensation and generous performance-based bonusesAccess to extensive compute resources, including large-scale GPU clustersA collaborative and intellectually stimulating research environment30 days of paid leave annuallyEmployer pension contributionsDaily catered lunch and barista serviceFlexible work culture with a focus on sustainability and well-beingComprehensive healthcare and life insurance coverageMonthly team events and regular conference attendanceAt 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 ApplicableEmployment type Employment type Full-timeJob function Job function Research and EngineeringIndustries Software DevelopmentReferrals increase your chances of interviewing at Adamas Knight by 2xSign in to set job alerts for \”Machine Learning Researcher\” roles. 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Machine Learning Researcher employer: Adamas Knight
Contact Detail:
Adamas Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher
✨Tip Number 1
Familiarise yourself with the latest advancements in deep learning and machine learning techniques. Follow relevant research papers, attend webinars, and engage with the community on platforms like GitHub or Kaggle to stay updated and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and trading sectors. Attend industry conferences, workshops, or meetups to connect with potential colleagues and mentors. This can help you gain insights into the company culture and the specific challenges they face.
✨Tip Number 3
Showcase your practical experience by working on projects that involve real-world data and applications. Contributing to open-source projects or participating in competitions can highlight your skills and commitment to solving complex problems.
✨Tip Number 4
Prepare to discuss your research interests and how they align with the company's goals. Be ready to articulate your thought process in formulating research questions and designing experiments, as this will demonstrate your ability to contribute meaningfully to their team.
We think you need these skills to ace Machine Learning Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, deep learning, and any specific projects that align with the job description. Emphasise your programming skills, particularly in Python, and mention any tools like NumPy, Pandas, or PyTorch that you have used.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in machine learning and your research interests align with the challenges mentioned in the job description, such as ultra-low latency and vast datasets.
Highlight Publications and Achievements: If you have a strong publication record or competitive performance in ML challenges, make sure to include this information prominently. Mention specific papers or competitions that showcase your expertise and contributions to the field.
Showcase Problem-Solving Skills: Demonstrate your ability to independently formulate research questions and design experiments. Provide examples of past projects where you tackled complex problems, especially those related to real-world applications of machine learning.
How to prepare for a job interview at Adamas Knight
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in deep learning, reinforcement learning, and other relevant areas. Bring examples of projects you've worked on, especially those that demonstrate your ability to handle large datasets and complex models.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving problems related to optimisation, model training, and real-world applications of machine learning. This will showcase your analytical thinking and problem-solving abilities.
✨Demonstrate Collaboration Experience
Since the role involves working closely with researchers, engineers, and traders, be ready to share examples of how you've successfully collaborated in a team environment. Highlight any mentoring or leadership experiences as well.
✨Discuss Your Research Contributions
If you have a strong publication record, be sure to discuss your research papers and their impact. Talk about the insights you've gained from the broader research community and how they can apply to the company's goals.
