51 to 75 of 2,261 Algorithms Jobs in London

techniques along with performing statistical analyses leading to the understanding of the structure of data sets. Proven and demonstrable experience with at least three of the following machine learning algorithms: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization. Experience working with Java and Python, and strong understanding of data … structures, algorithms, and software design patterns. Experience with AI and Gen AI frameworks (e.g., TensorFlow or PyTorch). Experience with at least one cloud-based platform (e.g., AWS SageMaker or Azure Machine Learning). Adept at translating business problems into solution statements. Strong communication skills and bilingualism/multilingualism are highly desirable. Open for travel (50% — national and international travel More ❯

an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for … preferred. Minimum six years of experience in AI engineering, machine learning, or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication More ❯

practices. Continuously identify opportunities to improve our search systems and rapidly explore and experiment ideas for improvement, and release ones that have promise. Design, train, experiment, and evaluate models, algorithms and solutions Anticipate data needs for building and evaluating ML-driven systems. Take ownership of securing such data by coordinating with data owners and annotators. At the same time, identify … experience through internships Experience with deep learning frameworks such as PyTorch Proficiency in software engineering An understanding of Computer Science and software engineering fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders A track record of authoring More ❯

Engineer and you will have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate ML models, algorithms and solutions Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI and incorporate new findings into our models and methodologies Represent Bloomberg at … in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. A track record of authoring More ❯

models for text analysis, entity recognition, and relationship extraction from web content. Analyze data to identify patterns and insights that can enhance our platform's capabilities. Research and evaluate algorithms for information discovery from publicly available sources. Design advanced search and recommendation capabilities. Create and refine machine learning models for risk identification and pattern detection. Collaborate with engineers to integrate … Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn). Experience with SQL for data querying and analysis. Solid understanding of machine learning algorithms, statistical methods, and predictive modeling. Experience with NLP techniques for text analysis, classification, and information extraction. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Experience with data visualization More ❯

is a plus) 2+ years of professional experience as in C++ Development Modern C++ programming experience in C+/20 or above Knowledge of design patterns, data structures and algorithms Ability to write efficient, high performing code. Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in a fast-paced environment Detail More ❯

qualification is a plus) 2+ years of professional experience in C++ Development Modern C++ programming experience in C++17/20 or above Knowledge of design patterns, data structures, and algorithms Ability to write efficient, high performing code Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in a fast-paced environment Detail More ❯

techniques along with performing statistical analyses leading to the understanding of the structure of data sets. Proven and demonstrable experience with at least three of the following machine learning algorithms: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization. Experience working with Java and Python, and strong understanding of data … structures, algorithms, and software design patterns. Experience with AI and Gen AI frameworks (e.g., TensorFlow or PyTorch). Experience with at least one cloud-based platform (e.g., AWS SageMaker or Azure Machine Learning). Adept at translating business problems into solution statements. Strong communication skills and bilingualism/multilingualism are highly desirable. Open for travel (50% — national and international travel More ❯

to Portfolio and Risk Managers Required skills/experience: Strong analytical and mathematical skills, with interest and/or exposure to quantitative finance Good understanding of various design patterns, algorithms & data structures Substantial experience using modern Java Experience with REST APIs and cloud services Relational SQL database development experience Unix/Linux command-line experience Ability to work independently in More ❯

to Portfolio and Risk Managers Required skills/experience: Strong analytical and mathematical skills, with interest and/or exposure to quantitative finance Good understanding of various design patterns, algorithms & data structures Substantial experience using modern Java Experience with REST APIs and cloud services Relational SQL database development experience Unix/Linux command-line experience Ability to work independently in More ❯

delivering timely solutions to Portfolio and Risk Managers. Required skills/experience: Strong analytical and mathematical skills with interest or experience in quantitative finance. Good understanding of design patterns, algorithms, and data structures. Significant experience with modern Java. Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line proficiency. Ability to work independently More ❯

delivering timely solutions to Portfolio and Risk Managers. Required skills/experience: Strong analytical and mathematical skills with interest or experience in quantitative finance. Good understanding of design patterns, algorithms, and data structures. Significant experience with modern Java. Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line proficiency. Ability to work independently More ❯

JavaScript is preferred. Experience with AI/ML frameworks and libraries is a significant asset. Production experience with Cloud and ML technologies Experience working in the below areas and algorithms will be ideal but not mandatory: Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation Algorithms: Transformer models, Attention mechanism, Prompt More ❯

backend trends and assess new technologies. What We’re Looking For: 3–5 years of backend development experience. Strong analytical skills with a proven ability to implement sophisticated mathematical algorithms in backend systems. Advanced programming skills with strong knowledge of object-oriented concepts, design patterns, SOLID principles, and multi-tier architectures. Solid understanding of modern software engineering practices (Agile, version More ❯

to our company conference and events. What you'll be delivering Collaborate with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model More ❯

Complexio's Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms, Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia and Símbolo, in More ❯

For Strong Python skills (or 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) Agile development experience (SCRUM, XP More ❯

Experience with search and analytics engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including model training, testing, and deployment. Hands-on project experience in network automation; experience with AWX is a plus. Understanding of Git version control and Agile development methodologies. Strong familiarity More ❯

users and prioritize requirements. Preferred Qualifications, Capabilities, and Skills: Software development experience in commodities, finance, or investment banking preferred, or willingness to learn rapidly. Strong knowledge of data structures, algorithms, and enterprise architecture. Ability to collaborate with and influence other technology teams in a constantly changing environment. #J-18808-Ljbffr More ❯

strategies to stay ahead in the market. **Key Responsibilities:** Utilize advanced statistical and machine learning techniques to analyze large-scale datasets and extract actionable insights. Develop predictive models and algorithms to optimize investment portfolios, assess risk exposure, and forecast market trends. Collaborate closely with cross-functional teams to ensure compliance with regulatory requirements and data privacy standards. Implement robust data More ❯

filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications More ❯

engage with both technical and non-technical stakeholders. BSc or MSc in Mathematics, Physics, Computer Science, or Engineering (STEM). Desirable Knowledge and Experience Understanding of AI/ML algorithms and data science. Experience with Docker and Kubernetes. Familiarity with Large Language Model stacks, vector databases, open-source models (Mistral, Falcon, Llama 3), and proprietary models like GPT-4 and More ❯

data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯

APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management More ❯

to have: A degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Experience building full-stack, enterprise applications, ideally using Python/React A passion for learning - it's a cliché, but our work More ❯