26 to 50 of 501 Algorithms Jobs in the UK

business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards. ...

core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data ...

/ML lifecycle, including problem definition, data exploration, model development, validation, deployment, and monitoring. Develop forecasting models, segmentation strategies, optimisation algorithms, and early warning systems to support sales performance and decision-making. Collaborate with engineering, sales operations, and business stakeholders to embed intelligent capabilities into reporting and analytics platforms. Lead ...

related field.* Proven track record of delivering AI solutions from research to production in real-world applications.**Knowledge*** Strong foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures.* Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and pragmatic with great communication skills You're degree educated in a STEM discipline, having achieved a 2.1 or above What ...

Experience with Docker for containerisation and deployment. Experience with Git, CI/CD and modern software delivery practices Strong understanding of software engineering principles, algorithms and data structures Desirable criteria Commercial Golang experience Experience building or deploying solutions in AWS or Azure JavaScript, TypeScript and React Automated testing frameworks Agile ...

think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high‐quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

development of ML‐powered products. Advanced Python programming skills and a track record of delivering robust software solutions. Proficiency with standard deep learning algorithms and model architectures. In depth knowledge in machine learning best practices, scalable training and deployment. Experience operating in cloud environments (e.g., Azure, AWS, or GCP). ...

teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

tools where appropriate to accelerate analysis and improve efficiency while maintaining rigorous validation and review. Develop and implement statistical models, machine learning models and algorithms, with a particular focus on time series modelling and forecasting, supporting robust, scalable and explainable solutions for complex energy challenges. Lead model development using Azure ...

them. A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real‐world problems with data structures and algorithms than your ability to recite them from a textbook. An opinion on what makes good code and good architecture, and the ability to articulate it. ...

/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large‐scale simulations. Contributions ...

/skill design, evaluation, cost control, provider routing, agentic/human‐in‐the‐loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation AWS: EC2, ECS, S3; DevOps ...

learning and predictive analytics to dynamically right‐size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over‐provisioning while maintaining strict SLAs. Complementary Behaviours: Toil‐Reduction Mindset: A relentless focus ...

problem solving, working on complex, distributed systems You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a scaling company in a role that you can shape and influence What's in it for you: As a Lead ...

solutions in a commercial environment Strong Python and SQL skills Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

Database Technologies Power BI, Tableau and Data Visualisation Statistical Analysis and Modelling Business Intelligence Exploratory Data Analysis (EDA) Predictive Analytics Machine Learning Algorithms Natural Language Processing (NLP) Deep Learning Fundamentals Ethical and Responsible AI Prompt Engineering and Generative AI Data Governance, Security and Privacy Cloud-based Data and Analytics Solutions ...

foundational technology — matching business activities to business context. You will handle a vast amount of business data, perform data-driven research, design and develop algorithms and microservice architecture, write machine learning and automation code, and build scalable systems that power the AI-engine behind Backstory's products. We value ownership ...

team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings ...

large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills, with a proactive approach to challenges. Can work collaboratively with cross‐functional teams. Thrive ...

accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness and emerging regulations. Machine Learning Mastery – profound understanding of ML principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI ...

bank’s systems and sensitive information. Accountabilities Provision of subject matter expertise on security systems and engineering patterns. Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems. Management and protection of secrets, ensuring that they are securely generated, stored, and used. Execution of audits ...