
Cambridge Consultants · United Kingdom
THE ROLE We have an exciting opportunity for an internship within our AI & Algorithms department. This placement can be between 6- and 12-months duration with ...
We have an exciting opportunity for an internship within our AI & Algorithms department. This placement can be between 6- and
12-months duration with a flexible start date, and is suitable for PhD and Masters students who have completed their first year of
study.
As an AI & Algorithms Engineer (PhD Intern), you’ll have the opportunity to get involved with a range of diverse projects working
and supported by a talented team of experts and mentors. You'll engage in hands-on tasks such as modelling, training, testing, and
data-wrangling. With cutting-edge labs and computing resources at your disposal, you'll use technology to solve problems in the
real world.
models.
market-leading solutions and compelling demonstrations that showcase our expertise to clients.
We are looking for someone with a degree in a relevant subject, such as AI/machine learning, computer science, mathematics,
physics or theoretical physics, and currently studying towards a relevant PhD or Master’s.
Some projects at Cambridge Consultants are subject to security restrictions. This role requires you to obtain a Security Check
level security clearance (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant). You must be able to work in the
UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK
National Security Vetting according to UK Government National Security Vetting criteria.
While not essential requirements, we would also be very interested if you have experience with any of the following:
Cambridge Consultants creates exciting and novel breakthroughs in technology and products. Our work on intelligent systems area
has helped create world-first and market-changing technologies including real-time AI-enhanced medical imaging, autonomous defence
systems against cyberattacks, and edge algorithms to help visually impaired people navigate indoor spaces. We combine our research
output with engineering rigour to create innovative and robust solutions to solve complex problems presented to us by our clients.
We help clients across a diverse range of markets, including defence/security, healthcare, biotech, industrial and energy, so
there is no shortage of variety.
At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and
systems to solve difficult problems for our clients. We offer a diverse, fun, and challenging work environment where you'll have
the chance to work on a wide variety of projects that deliver real value using technology.
We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are
here to do the best work of their lives and our job is to provide the platform for them to do it.
By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together
with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that
any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment
process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge
that the organisation reserves the right to verify the information supplied.
The Role We have an exciting opportunity for an engineer within our AI & Algorithms department. As a PhD AI & Algorithms Engineer, you’ll work within our team of talented engineers and scientists on a diverse range of projects. With cutting-edge labs and computing resources at your disposal, you'll use technology to solve problems in the real world. What you’ll be doing * Building intelligent systems, developing your skills through hands-on coding and training/testing models. * Learning software development skills in mixed-discipline teams, attending stand-ups and contributing to planning sessions. * Contributing to our internal research and development programs, building on state-of-the-art literature to produce our own, market-leading solutions and compelling demonstrations that showcase our expertise to clients. * Supporting projects for our clients to solve real-world problems. * Communicating the results of your work to your colleagues and clients. What you can bring We are looking for someone with strong academic credentials and a PhD in a relevant technical subject, such as AI/machine learning, computer science, mathematics, physics or theoretical physics. You will also have: * Interest in applying AI and algorithmic techniques to real-world problems. * Strong Python programming skills and appreciation for modern software development practices * Demonstrable research experience in a data-driven field (such as project work, conference proceedings or papers published in scientific journals). While not essential requirements, we would also be very interested if you have experience with any of the following: * Information science * Bioinformatics * Reinforcement learning * Transformer, diffusion models * Robotics * Edge compute Some projects at Cambridge Consultants are subject to security restrictions. This role requires you to obtain a Security Check level security clearance ( https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant ). You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government National Security Vetting criteria. ---------------------------------------------------------------------------------------------------------------------------------- By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge that the organisation reserves the right to verify the information supplied. ----------------------------------------------------------------------------------------------------------------------------------
THE ROLE We have an opportunity for a Principal Engineer in our AI & Algorithms department, working with a particular focus on our defence and security clients. You’ll join a team of talented engineers and scientists designing, building and testing intelligent systems that require cutting edge algorithms. As one of the senior technical voices in the team, you’ll be architecting the algorithmic approach on our projects, setting the technical bar for others, and helping shape the work we deliver. As well as hands-on engineering, you’ll spend time with clients, using your expertise to win new projects as well as deliver them. You’ll work in multidisciplinary teams that use our labs and computing resources to enable us to deliver ambitious projects. Much of our defence and security work requires security clearance, so we ask for it up front. You won’t work exclusively in that sector, but a genuine interest in it matters to us. We offer a flexible approach to hybrid working, although some of the projects you will be working on will require full-time working in the office. WHAT YOU’LL BE DOING * Applying data-driven software development in machine learning/AI, applied statistics, and sensor processing, alongside mathematical computing techniques such as digital signal processing, simulation, and numerical optimisation. * Acting as technical lead and architect on our larger, more complex projects, owning the technical solution and the value it delivers to the client. * Setting technical direction and acting as technical reviewer across the department, with your opinion sought by colleagues. * Leading the development of proposals and costed work programmes, turning client problems into work we can win and deliver. * Driving internal capability and demonstrators that keep us at the leading edge and open up new conversations with clients. * Mentoring engineers and conducting technical interviews to help us recruit and grow strong people. * Contributing to how the department works, improving our processes and technical standards. WHAT YOU CAN BRING We are looking for an experienced engineer, with the breadth to lead the algorithmic component of multidisciplinary work and the ability to work with our commercial teams to help create and win new work. * 5+ years’ experience designing and delivering cutting edge algorithms for intelligent systems, including working on defence or security projects. * Technical skills in one or more of: transformer models, diffusion models, reinforcement learning, machine vision and perception. * A strong undergraduate degree in a relevant technical subject, such as AI/machine learning, computer science, mathematics or, physics. A PhD in a relevant subject is welcome but not required; deep, demonstrable industrial expertise is what matters. * Strong Python and software engineering judgement. * The ability to architect the technical approach on complex projects and to review the work of others, including working autonomously as the technical authority. * Experience mentoring and developing engineers. * Experience working with non-technical stakeholders for your work. * Interest in working directly with clients and contributing to proposals and sales conversations. * A genuine affinity for working in the defence and security sector. Because of where this role sits, holding (or being able to obtain) UK security clearance is essential. You must be eligible to obtain Security Check (SC) level security clearance (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant). You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government criteria. While not essential requirements, we would also be very interested if you have experience with any of the following: * Technical experience with any of: signal processing, edge computing, statistical modelling, numerical optimisation, or simulation. * A track record of building client relationships and leading the technical side of sales campaigns and proposals. * An established external profile: publications, conference talks or shareable project credentials * A PhD or published research in a data-driven field WHY CAMBRIDGE CONSULTANTS? Cambridge Consultants creates exciting and novel breakthroughs in technology and products. Our work on intelligent systems area has helped create world-first and market-changing technologies including real-time AI-enhanced medical imaging, autonomous defence systems against cyberattacks, and edge algorithms to help visually impaired people navigate indoor spaces. We combine our research output with engineering rigour to create innovative and robust solutions to solve complex problems presented to us by our clients. We help clients across a diverse range of markets, including defence/security, healthcare, biotech, industrial and energy, so there is no shortage of variety. At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and systems to solve difficult problems for our clients. We offer a diverse, fun, and challenging work environment where you'll have the chance to work on a wide variety of projects that deliver real value using technology. We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. ---------------------------------------------------------------------------------------------------------------------------------- By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge that the organisation reserves the right to verify the information supplied. ----------------------------------------------------------------------------------------------------------------------------------
The Firm XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, New York, Singapore, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do. XTY Labs XTY Labs, a division of XTX Markets established in 2024, stands at the intersection of finance and cutting-edge machine learning research. The lab is designed to be a home for those eager to pioneer the future of algorithmic trading, with a strategic focus on developing and applying novel machine learning techniques to financial data. Situated in Hudson Yards, New York City, XTY Labs offers a state-of-the-art, “academia-like” workspace designed to inspire creativity and innovation. Led by Research Director Dr. Atlas Wang [Link], researchers will have the opportunity to explore new ideas and transform their advanced machine learning research into real-world financial solutions, backed by XTX Markets' expansive research cluster, rich datasets, and advanced technological infrastructure. Emphasizing practical application, XTY Labs’ mission is to swiftly integrate successful models into the market, directly enhancing XTX's trading strategies and operations. This direct pipeline from research to implementation establishes XTY Labs as a premier destination for those looking to make a significant impact in the financial sector through original machine learning research. The XTY AI Research Internship **Please note that we are now only accepting applications from candidates who are available starting from January 2027 or later.** This 12–14-week research-focused internship, is designed for highly motivated students in the middle years of their advanced degrees, who are eager to push the boundaries of high-risk, high-reward AI research and rapidly integrate cutting-edge ideas into our advanced strategies. Top performing interns will be actively considered for full-time research roles in either our NYC or London teams. Why Join? * Work at the Frontier of Fundamental AI Research: Explore and innovate at the forefront of machine learning, optimization, generative AI, foundation models, distributed training, and other cutting-edge areas, driving direct business impact. * Fast-Paced Innovation: A unique opportunity to test, iterate, and refine cutting-edge concepts at industry speed, all taking place in weeks if not days. * Mentorship & Collaboration: Each intern will be paired with at least one full-time researcher as a mentor and will also work closely with the research director for guidance and collaboration. * Exposure to Real-World Quantitative AI: Experience firsthand how advanced AI techniques shape algorithmic trading in one of the world’s most technologically sophisticated firms. This is an exclusive opportunity for students who excel in research-driven environments and are eager to make a meaningful impact in a field still rich with untapped potential in the GenAI era. Our environment is designed for innovation with a flat organizational structure, a friendly and collaborative culture, and an absence of red tape, allowing you to focus on advancing the field of machine learning in finance. You will work from our NY office at least 4 days per week. Responsibilities * Engage in pioneering research to devise original machine learning algorithms, with the autonomy to investigate and apply novel methods. * Utilize a broad knowledge base across deep learning, natural language processing, time series analysis, control and optimization, reinforcement learning, among others. * Architect, build, and refine models, agents, and software prototypes with a focus on robustness and generality. * Clearly communicate research progress and findings, ensuring efficient internal knowledge transfer both verbally and in writing. * Foster teamwork and collaborate with XTX Markets’ quantitative research team, contributing to a collective effort of fewer than twenty experienced researchers. The program offers an unparalleled opportunity to work within a rich computational environment, equipped with an impressive array of resources. Interns will immerse themselves in a culture that promotes collaboration, innovation, and a flat hierarchy. The program is designed to bring together a wide range of backgrounds and interests, not only those who are already set on a career in finance. Essential Attributes * Pursuing an advanced degree. ideally Ph.D., in computer science, electrical engineering, mathematics, or a related quantitative field, with at least one year remaining before your expected graduation date. * Strong evidence of ability to conduct original research. That shall include a proven publication record in leading machine learning and AI venues (we do not count publication numbers) * Demonstrated practical experience and deep understanding of modern deep learning architectures, in particular transformers and its variants. * Solid knowledge in fundamental data science, optimization, and statistics * Solid programming skills (language does not matter; Python is fine) * No prior experience in finance is needed. Desirable Attributes * Proven expertise in developing and working with foundational models, including but not limited to large language models and multi-modal frameworks. * A background in managing and analyzing large, unstructured, and noisy datasets. * Hands-on knowledge of time series forecasting. Compensation The base salary for the AI Research Internship role will be $35,000 per month. You will enjoy similar benefits to those of our US permanent employees as appropriate and receive a generous sign-on bonus to be used for covering accommodation costs. Interview Format We plan to keep our internship cohort small, with a highly selective application process. Our interview process seeks to gain signal in the following topics: * Your Research Experience * Modern machine learning techniques, especially deep learning * Classical machine learning techniques * General mathematics (linear algebra, analysis, probability etc.) * Hands-on programming and data engineering We seek to get a broad signal in our process. Successful candidates are those who are strong in all areas and exceed expectations in at least one. Your interview process will follow a four-stage format: * An introductory conversation with the recruitment team. * A practical take-home exercise, where you are provided with a dataset to construct and develop an AI model comprehensively from start to finish. * A discussion with the Research Director to delve into your research history, knowledge in deep learning/machine learning, compatibility with XTY's goals, and to gauge your innovative thought processes. * A final 1-hour interview with either an XTX Quantitative Researcher or XTY full-time Researcher.