26 to 50 of 161 Algorithms Jobs in Central London

challenges independently Proven experience in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to More ❯

risk, enhance resilience, improve efficiency, and accelerate decarbonisation. With adaptive AI, we analyse supply chains instantaneously—powering solutions for sourcing, risk, and compliance. Our algorithms make previously unseen and unknown information on real world assets visible, usable and defensible to the plot-level. We do this at a fraction of More ❯

application of machine learning to deliver robust, product-ready analysis solutions. You will be responsible for building advanced image analysis pipelines—ranging from segmentation algorithms to clinical classification and predictive modelling—designed for use in real-world clinical settings. This involves collaborative scoping of new solutions through interaction with internal 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 ❯

Relational and NoSQL database experience KDB (ideal), Oracle, Sybase, Cassandra and other data technologies Previous exposure to: Electronic Trading Systems & Execution Platforms Execution & Hedging Algorithms Container frameworks and the tooling that goes with them Desirable Languages/Technologies: Java, Python, C++, KDB+/Q, C# More ❯

etc. Experience with data manipulation, cleansing, and analysis using tools such as SQL, Excel and other statistical software Understanding of Machine learning techniques and algorithms (K-NN, Naïve Bayes, SVM, etc. More ❯

Computer Science or similar technical or numerate discipline You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patters, Algorithms You have strong C++ 14/17 development skills (on Linux or Windows) You have a good understanding of Test Driven Development/TDD and More ❯

investment manager with offices throughout North America, Europe and Asia. They are at the forefront of developing advanced hardware and software, utilizing proprietary prediction algorithms for autonomous trading of the markets. This firm has established a world class global research team and combines an academic yet scientific approach with an More ❯

and software development, whether you code in Python, JavaScript, Go, or something else, we’d love to hear about it Strong fundamentals in programming, algorithms, and software design Passion for learning new technologies and building real-world systems Excellent communication and teamwork skills A year in industry or strong internship More ❯

data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement: Proven 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 ❯

Skills 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 ❯

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 ❯

audiences. Desirable: • Experience in multi-site or international hospitality brands. • Python, R, or other data science tools for modelling or automation. • Creation of predictive algorithms/models using demand and supply data. • A passion for gamification, loyalty mechanics, and behavioural economics. What you'll get: Competitive pay Annual bonus More ❯

strategies Develop valuation strategies Develop mathematical trading models Monitor and analyze mathematical trading models Back-test mathematical trading models Back-test trading signals Translate algorithms into code Contribute to process improvement and automation Help develop technical documentation Research and utilize unconventional data sources to drive innovation Collaborate with various trading 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 ❯

Design and develop optimization models to solve complex business problems, leveraging Integer Programming (IP) and Mixed Integer Programming (MIP) techniques. Implement and integrate optimization algorithms using industry-leading solvers such as Gurobi or CPLEX. Build scalable and maintainable optimization applications using Python or C#, ensuring high performance and reliability. Collaborate More ❯

software systems Willingness to explain and defend employed models, their interpretation and business value to the team and stakeholders Experience developing AI/ML algorithms and infrastructure Excellent knowledge of Python, NumPy and Pandas Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY Graduate-level research 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 ❯

skills/experience - 1-2 years+ commercial experience with Python, Django, React or Rust experience Strong understanding of OO principles, design patterns, data structures & algorithms Bachelors or Masters Degree in Computer Science or very similar, ideally from a top University Personality and genuine passion in technology Elite bonus culture and More ❯

research in a production setting MSc in Computer Science, Machine Learning, or a closely related field Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised learning, reinforcement learning, deep neural networks) Excellent Python programming skills with experience in developing and debugging production-level code More ❯

workflows and reasoning schemes to extract strategic insights from public and proprietary data sources relating to drug discovery from fungi Developing proprietary machine learning algorithms to analyze fungal biochemistry Fine-tuning foundational models for downstream prediction tasks Running computational experiments and visualizing findings for analysis Competencies Core Experience with building More ❯

responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with More ❯

companies large and small. We utilise the latest tech in machine learning and have access to advanced datasets that allow us to train our algorithms to replace slow manual invoicing. “To ensure that every supplier in the world can be paid instantly, at the fairest rate." Data Engineer As a More ❯

e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL pipelines and structured/unstructured data. Must be available to attend quarterly company meetings in person. #J More ❯