Jobbörse
Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.- Ähnliche Jobs zu: Lead Machine Learning Engineer (London)
Machine Learning Engineer London, England, United Kingdom; New York, New York, United States; N[...]
GrahamcapitalLondon
London, England, United Kingdom; New York, New York, United States; Norwalk, Connecticut, United StatesGraham Capital Management, L.P. ("Graham") is an alternative investment manager founded in 1994 b
Machine Learning Engineer
UltralyticsLondonOverview Direct message the job poster from Ultralytics Founder & CEO at Ultralytics | Democratizing Vision AI At Ultralytics, we relentlessly drive innovation in AI, building the world's leading ope
Machine Learning Engineer
AldiaLondonALDIA es una empresa internacional con sede central en Londres, con presencia en España y Suecia. Nos especializamos en la consultoría tecnológica y de ingeniería. En la actualidad, estamos buscando u
Machine Learning Engineer
GenerativeLondonOverview Direct message the job poster from Generative We are on a mission to redefine drug development by building the first foundation model of microbiome-drug interactions. We’re looking for a fou
Machine Learning Engineer
ASOSLondonWe’re ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re
Machine Learning Engineer
G-ResearchLondonWe tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world‑class researchers and engineers in an environme
Machine Learning Engineer
Octopus EnergyLondonOverview Kraken is the operating system for utilities of the future. Built in-house at Octopus Energy, Kraken powers energy companies and utilities around the globe – in 10 countries and counting – li
Machine Learning Engineer
hackajobLondon3 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. hackajob is collaborating with argoX.ai to connect them with exceptional tech professionals
AI / Machine Learning Engineer
Academy Education Network LtdLondonJob OverviewAI / ML Engineers build, evaluate, and deploy machine‑learning systems at scale. The day‑to‑day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against b
Principal Machine Learning Engineer
Anaplan IncLondonAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competi
Machine Learning Workflow Engineer
EuropythonLondonWe are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team. This is an exciting role. You will develop greenfield solutions
Staff Machine Learning Engineer
PassFortLondonAccurx is where conversations happen with and about patients. For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a singl
Staff Machine Learning Engineer
WaymoLondonWaymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building
Principal Machine Learning Engineer
5V VideoLondonPrincipal Machine Learning Engineer – Sports AI & Personalisation West London (Hybrid) Freelance Contract - 6 Months (Expected Extensions) Rates - Negotiable What if AI could completely change how mil
AI Engineer / Machine Learning Engineer
SmartAssetsLondonSmartAssets is on the lookout for an experienced and innovative Lead AI Engineer to join our dynamic team. In this role, you will take a leadership position in developing and optimizing AI-driven feat
Staff Machine Learning Engineer
HubSpot, Inc.LondonRole Overview The Predictive Models team is part of the AI Foundations Group at HubSpot and partners closely with the Predictive AI Platform team to deliver the next generation of predictive insights,
Staff Machine Learning Engineer
BJAKLondonAbout the Role A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organizing and workflows. Unlike traditional chat-based applications, our prod
Applied AI ML Lead - Senior Machine Learning Scientist – Machine Learning for Technology
JPMorgan ChaseLondonJoin the Applied Innovation of AI team, a premier machine learning group within the Chief Technology Office of JP Morgan Chase. We tackle crucial business priorities using innovative machine learning
Graduate AI Machine Learning Engineer
Tech Recruitment UK LtdLondonAbout the Role: We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate
Research Engineer - Machine Learning (Contractor)
Huawei Technologies Research & Development (UK) LtdLondonAbout Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,0
Machine Learning Engineer - Customer Solutions
UnitaryLondonThe company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the
Staff Software Engineer - Machine Learning
Capital One UKLondonWhite Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine LearningAbout this role We’re on a mission to transform the way we use data and AI to service our customer
Machine Learning Engineer - Applied AI Systems
HarnhamLondonOverview About the Role: We're looking for a Machine Learning Engineer to help turn advanced AI research into real-world solutions. In this role, you'll work on training and deploying machine learning
Principal Machine Learning Engineer (Revenue Optimisation)
temLondonRequirementsDeep experience building ML systems for pricing, revenue optimisation, or real-time decision-making — at companies where pricing is the product, not a supporting function. Track record of
Staff / Principal Machine Learning Engineer, Serving
Inworld AILondonInworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands
Machine Learning Engineer London, England, United Kingdom; New York, New York, United States; N[...]
- London, England, United Kingdom
- London, England, United Kingdom
Über
Graham Capital Management, L.P. ("Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest‑standing global macro and trend‑following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies.
The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them.
Description Graham Capital Management, L.P. is seeking a ML Engineer to join our Data Science team, a future‑looking technical arm of Graham Capital. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it.
The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and insights we provide our stakeholders.
At Graham Capital, our systems feed live models around the clock, span billions of market data ticks, an ever‑increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs.
Responsibilities You will be part of a growing team within Data Science. You will work alongside world‑class talent to find innovative solutions to some of the most interesting problems in the buy‑side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting‑edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state‑of‑the‑art machine learning and advanced statistical methods to produce the best data sources for the fund.
This role requires commuting into the office Mondays through Fridays.
Requirements
Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline
3+ years of hands‑on experience with Machine Learning and Statistics on large, unstructured, data sets
Experience writing production code for multi‑client systems serving model results is a great plus
Ability to clearly communicate research findings to technical and nontechnical stakeholders
Full‑stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments
Experience with scientific computing, statistics, optimization, time series, panel data, etc.
Comfortable handling multiple projects to solve varied problems working with multiple teams
Detail‑oriented mindset
Sense of ownership of his/her work, working well both independently as well as collaboratively
Base Salary Range The anticipated base salary range for this position is $175,000 to $250,000. The anticipated range is based on information as of the time this post was generated. The applicable annual base salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.
Base salary or rate does not include other forms of compensation or benefits offered in connection with the advertised role.
Equal Employment Opportunity GCM is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.