1 to 25 of 99 Algorithms Jobs in Slough

concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Mastery of modern web technologies & Javascript is essential: React, CSS, Node, Angular, etc. Proficient in at least one all purpose imperative More ❯

mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published your academic work in journals Finance experience preferred but not essential A generous total compensation More ❯

equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred More ❯

brilliant minds to create and launch game-changing software that powers our systematic FX trading strategies. Your work will blend cutting-edge tech, complex algorithms, and real-time data to redefine the future of trading. Your Mission Architect, develop, and deploy sophisticated software solutions that supercharge automated trading systems Work More ❯

with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with More ❯

machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs More ❯

graphics tasks . Collaborate with 3D graphics and rendering teams to integrate AI models into interactive applications and pipelines. Prototype, benchmark, and productionize new algorithms that advance real-time generative AI for both 2D and 3D content. Research and experiment with emerging techniques to keep our technology at the cutting More ❯

will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio More ❯

translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working More ❯

AI projects with real-world applications Collaborate with a team of elite scientists and engineers Contribute to the development of cutting-edge models and algorithms Help shape the future of AI in a fast-paced, intellectually stimulating environment Why Join? Be part of a world-class team at the forefront More ❯

end-to-end development of AI features and projects. Build proof-of-concepts using Deep Learning and traditional Data Science approaches. Develop and optimize algorithms for real-world applications. Work in a diverse, collaborative environment while ensuring compliance with QHSE and governance policies. Discover the Requirements Bachelor’s degree in More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps More ❯

in the high-frequency trading (HFT) industry, with a deep understanding of the unique challenges and requirements of this fast-paced environment. Expertise in algorithms and data structures, with the ability to design and implement complex solutions to optimise performance and efficiency. Excellent problem-solving skills, with a track record More ❯

mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. More ❯

to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and results More ❯

The Java Developer will: Work closely with the Head of Trading and the Quant Team and assist in design and development of new trading algorithms, mainly in Java Help engineer a new greenfield low latency trading platform Work on connectivity to Financial Exchanges Develop utility applications and excel tools to More ❯

Engineering, or a similar field 5+ years of hands-on experience developing Java applications in a financial services environment (Java 21) Excellent knowledge in algorithms and data structures, object-oriented design, and microservices architecture (This will be tested) Proven record of complex software delivery in the Interest Rates domain Excellent More ❯

trading models. Collaborate with portfolio managers to integrate new market microstructure strategies into the existing portfolio. Continuously monitor market conditions to adjust parameters and algorithms accordingly. Maintaining a strong understanding academic research to keep the team updated with the latest quantitative techniques and theories. Requirements: Preferably a Ph.D. in a More ❯

on market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: Develop and enhance high-performance trading systems. Optimise execution algorithms for systematic trading. Contribute to research and simulation frameworks. Key Requirements Bachelor's degree in Computer Science or closely related field Interesting internship(s) within More ❯

will be responsible for – Build relationships with clients and take the lead on delivering AI solutions to benefit the business Design and develop AI algorithms and models Provide training to clients on the best practices of working with AI tools Implement AI models into client environments and monitor on-going More ❯

risks (e.g., model drift, data bias) and continuously refine AI models and solutions through performance monitoring and feedback loops. Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., ServiceNow Now Assist, Workday Illuminate, SAP, Microsoft CoPilot, OpenAI, Mistral), with experience integrating AI solutions with enterprise More ❯

People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns. • Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions. • Documentation: Create and maintain technical documentation, including project reports, white papers More ❯

levels. Required: Proven experience building optimisation models using Python libraries such as PuLP , ortools , or SciPy.optimize . Hands-on expertise in combinatorial optimisation , scheduling algorithms , network optimisation , and/or simulation methods (e.g., Monte Carlo, Markov chains). Strong track record of managing and growing high-performing data science teams. More ❯

got used to living with. Automating tasks to focus on what matters; being able to easily simulate results across complex scenarios; embedding self-learning algorithms in decision making to improve performance. Opportunities will be endless, with data becoming an essential asset to do business. To support Mars Inc. in their More ❯

models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to More ❯