Algorithm Engineer (6 months FTC)

Gorilla

ABOUT GORILLA Join us at Gorilla and be part of a mission to transform the energy industry. At Gorilla, you'll play a vital role in delivering cutting-edge data solutions for a lower-carbon future. We focus on providing efficient, reliable, and flexible SaaS solutions for data processing and analysis in the energy sector. Together, we're driving digital transformation, maximising ROI for clients, and contributing to achieving net-zero emissions through technology and data-driven insights. ABOUT THE CALCULATION ALGORITHMS TEAM The energy transition creates immense challenges and opportunities. Our Calculation Algorithms Team sits at the core of Gorilla’s product, turning complex energy data into actionable insights. This team builds the intelligence that powers our customers’ pricing, forecasting, and billing capabilities. It’s where deep market expertise meets advanced engineering. As part of this group, you’ll help design and deliver algorithms that run at scale, process millions of energy data points, and enable energy retailers to operate efficiently in volatile markets. YOUR ROLE As an Algorithm Engineer, you'll help design, build, and improve the algorithms and data solutions that form the backbone of Gorilla's platform. You'll work closely with our Energy Experts to turn their market knowledge into working software. With a solid engineering foundation and a problem-solving mindset, you'll contribute to how our platform processes, forecasts, and prices energy data for customers around the world. This role combines hands-on engineering with plenty of room to grow. You'll collaborate across Product, Data, and Delivery teams, learn from experienced peers, and gradually take on more ownership as your impact grows. WHAT YOU’LL DO * Build scalable algorithms: Contribute to forecasting, pricing, and optimisation solutions that perform across large and complex data sets. * Contribute to technical direction: Take part in design discussions for high-volume data processing, helping ensure accuracy, explainability, and reliability in production. * Collaborate and grow: Work closely with Product, Data, and Delivery teams to translate business and market requirements into working solutions. Learn through code reviews, pairing, and knowledge sharing — and share what you know with others as you grow. * Improve and evolve systems: Help improve the robustness, performance, and scalability of models, workflows, and distributed systems; contribute reusable components that raise the bar for algorithmic quality. WHAT YOU BRING * Engineering experience: Hands-on experience designing, developing, or deploying algorithms or data models (e.g., forecasting, pricing, optimisation). * Technical foundations: Solid working knowledge of Python and parts of the modern data stack (e.g., SQL, Pandas, Polars, DuckDB, NumPy, SciPy; exposure to Dask or PySpark is a plus). Familiarity with microservices or distributed systems is welcome but not required — we'll help you grow into it. * Data interest: Curiosity about working with large-scale or high-frequency data sources such as smart meter, weather, or IoT data. Direct experience is great; eagerness to learn is just as valuable. * Communication and collaboration: A clear communicator who works well with others, asks good questions, and shares progress openly. * Curiosity for energy and impact: Background in SaaS or software environments is helpful; energy-sector experience or strong motivation to learn the domain is a plus. WHERE AND HOW YOU’D WORK Our flagship office is in Antwerp, and we also have an office in London and co-working spaces in Reading (UK), Austin (US), and Melbourne (ANZ). If you apply from Germany, this is a remote role, if you apply from the UK or Belgium, it will be hybrid. Please note that you must be based in Belgium, the UK, or Germany, as we are not able to consider candidates living in other countries. Occasional travel is required to attend team meetings. WHAT'S IN IT FOR YOU * Flexible work options - whether you choose Office Mix or Remote First Mix (currently available within certain timezones and locations). We offer country-specific mobility benefits, and the ability to work flexible hours. You will be equipped with the best technology for remote work. * A job with purpose At Gorilla, we’re not just watching the world change—we’re making it happen! We provide cutting-edge data services to energy retailers, helping them tackle climate change while keeping the lights on; we’re here to make a big impact and have some fun along the way. * Remuneration Approach which is clear and no-nonsense based on your experience and location. * Core Benefits - Wherever your location, you can expect a generous PTO allowance and health insurance coverage. * Career Growth opportunities As Gorilla is growing at an incredible pace, you can leave your mark – growing alongside Gorilla. Lifelong learning is part of our DNA, and we care about your individual dreams and ambitions, beyond just work. * International Travel We host Gorilla Company-Wide Gatherings where we all get a chance to see each other in real life. Past locations have included Belgium, Portugal, the Netherlands, and Spain.

Cambridge Consultants

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 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.   WHAT YOU’LL BE DOING * Working alongside our engineers building AI systems, developing your skills through hands-on coding and training/testing models. * Supporting projects for our clients to solve real-world problems. * 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 AI literature to produce our own, market-leading solutions and compelling demonstrations that showcase our expertise to clients. * Communicating the results of your work to your colleagues and clients.        WHAT YOU CAN BRING 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.  You will also have: * Interest in applying AI and algorithmic techniques to real-world problems. * Strong Python programming skills and understanding of modern version control (e.g. Git) * Demonstrable research experience in a data-driven field (such as project work, conference proceedings, journals publications).   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: * Information science, Bayesian statistics * Signal processing * Bioinformatics * Reinforcement learning * Transformer and diffusion models * Robotics (including VLA models) * Edge compute   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. ----------------------------------------------------------------------------------------------------------------------------------

Qube Research & Technologies

Programme duration: from 5 to 6 months, starting in 2026.    Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.   Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.   Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.    We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.     Your future role at QRT   Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design.  Examples of potential roles and projects include:  * Quantitative Data Analyst  Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale.  * Data Engineer  Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform.  * Data Platform Engineer  Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently.    Your present skillset   * Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP).  * Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python. * Interest to build expertise in high-performance, real-time trading systems  * Excellent communication and analytical skills - you will interact directly with Traders and Researchers   * Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting.  * Rigorous and structured approach to problem-solving.  Preferred qualifications (a plus):  * Knowledge of databases such as SQL or NoSQL.  * Experience in front-end development.  * Interest in financial markets and/or algorithmic trading.     Interview Process:  * Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances.  * Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.  * Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.       QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.