1 to 25 of 1,214 Algorithms Jobs in England

Ability to work in a fast-paced environment with a strong delivery focus. Experience managing budgets and resources effectively. Strong understanding of data structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. PREFERRED QUALIFICATIONS Strong programming experience More ❯

Ability to work in a fast-paced environment with a strong delivery focus. Experience managing budgets and resources effectively. Strong understanding of data structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. PREFERRED QUALIFICATIONS Strong programming experience More ❯

Ability to work in a fast-paced environment with a strong delivery focus. Experience managing budgets and resources effectively. Strong understanding of data structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. PREFERRED QUALIFICATIONS Strong programming 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 ❯

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 ❯

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 ❯

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 ❯

and integration. Key Responsibilities Collaborate with clients to identify business challenges and opportunities for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing 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 ❯

that address real-world client challenges and drive significant business value. Responsibilities: Research and Innovation: Conduct original research in AI and ML, exploring new algorithms, models, and techniques to advance the state of the art. AWS AI/ML Focus: Focus on developing AI/ML solutions within the AWS 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 ❯

models and proofs of concept, leveraging cutting-edge technologies like Vertex AI, Gemini models, and BQML. Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects. Collect, analyze, and interpret large 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 ❯

Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver 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 ❯

AI for innovative solutions. Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Oversee customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services More ❯

AI for innovative solutions. Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Oversee customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services 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 ❯

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 ❯

degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch 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 ❯

Data Science. Strong experience in using Python Data structures. 1+ years of strong experience in GEN AI RAG Models. Experience in developing and implementing algorithms to automate data cleaning, normalization, and enrichment processes. Understanding the key metrics for validation of the models such as mAP, F1-score, and IoU. Ability 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 ❯