1 to 25 of 761 Algorithms Jobs in London

tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience More ❯

Mathematics or equivalent experience 3-5 years of practical machine learning experience Experience in programming in Python Experience building machine learning models or developing algorithms for business applications in a customer-facing domain Familiarity with causal inference techniques and concepts Experience communicating complex topics and results to high-level stakeholders More ❯

tasks - named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain) Experience More ❯

Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology for More ❯

technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks. Deep knowledge of data pipeline architectures and products such as Snowflake or similar. Experience with delivering More ❯

authorized to work in the U.S. without the need for current or future sponsorship. Responsibilities: Research and implement state-of-the-art machine learning algorithms and techniques Design, develop, and deploy machine learning models and systems that can address various engineering problems and opportunities Perform data analysis, preprocessing, feature engineering More ❯

TDD and passionate about clean code principles Proficiency in programming in Java, Python, JavaScript or React Solid understanding and experience of using data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor's degree in computer science or engineering field involving software programming More ❯

Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery). Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product. Key Responsibilities: Design, implement, and manage AWS DevOps services, including CodePipeline, CodeBuild, CodeDeploy, CloudFormation, and Lambda. More ❯

that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to More ❯

governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent analytical More ❯

5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive More ❯

plans and related risk assessments. Qualifications: Requirements: Bachelor’s degree in information technology, Computer Science, Engineering or related field Strong computer science and basic algorithms knowledge. 5+ years of experience in Typescript/React ecosystem. Knowledge of web fundamentals: HTML5/CSS3, protocols, modern web standards. Expert knowledge of modern More ❯

looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. You will be working with large, complex, and unique datasets to solve a wide range of More ❯

and foundational models. As part of the AWS Multimodal generative AI science team, you'll lead innovative research projects, develop state-of-the-art algorithms, and pioneer solutions that will directly impact millions of Amazon customers. Leveraging Amazon's vast computing power, you'll work alongside a supportive and diverse More ❯

Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise-grade pipelines and data models Ability to interpret business requirements into robust, scalable data solutions Excellent analytical skills and attention to More ❯

Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise-grade pipelines and data models Ability to interpret business requirements into robust, scalable data solutions Excellent analytical skills and attention to More ❯

or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in programming languages such as Python, SQL, Spark, PySpark, TensorFlow, or equivalent analytical/model-building tools. Familiarity with More ❯

Python and SQL, with the ability to write production-quality code deployable on cloud platforms. Demonstrated experience in deploying machine learning and deep learning algorithms into production environments. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Familiarity with Investment Management, particularly Morningstar's mutual fund More ❯

preferably related to credit risk or finance. You're proficient in SQL and Python. You have a strong background in statistical modelling, machine learning algorithms, and data mining techniques (NLP is a plus). You're passionate about leveraging AI and data to improve financial inclusion and access to fair More ❯

writing performant code Practical experience of Continuous Integration (CI/CD) Practical experience of version control systems (Git) Solid knowledge of data structures and algorithms Solid knowledge of functional programming paradigms Experience refactoring code with scale and production in mind Experience with asynchronous architecture Familiar with AWS, Unix/Linux More ❯

opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and More ❯

and orchestration using Docker and Kubernetes. Hands-on experience with reinforcement learning frameworks such as OpenAI Gym or Stable-Baselines3. Practical knowledge of optimization algorithms and probabilistic modeling techniques (e.g., Bayesian methods, Gaussian Belief Propagation). Experience integrating models into real-time decision-making systems or multi-agent RL environments More ❯

for NLP tasks. Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG. Document and text Classification Data Science: Data clustering algorithms, feature engineering Evaluate and integrate new technologies and models. Cross-team collaboration, identifying innovations and architecting solutions. Provide leadership and technical direction to various business More ❯

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 More ❯

design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proficiency in data preprocessing, feature engineering, and model More ❯