1 to 25 of 409 Remote Algorithms Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

following Knowledge of fraud and/or financial crime. Experience with building Python data visualization apps using things like Plotly Dash. Knowledge of clustering algorithms and the problems they can help solve. Experience with cloud platforms especially, GCP. About working for us Our focus is to ensure we are inclusive 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 ❯

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 ❯

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 ❯

technology to the business You have strong Git experience You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, Algorithms You have a good knowledge of APIs You are degree educated in a relevant discipline from a top tier university, Computer Science preferred Experience within More ❯

technology to the business You have strong Git experience You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, Algorithms You have a good knowledge of APIs You are degree educated in a relevant discipline from a top tier university, Computer Science preferred Experience within More ❯

technology to the business You have strong Git experience You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, Algorithms You have a good knowledge of APIs You are degree educated in a relevant discipline from a top tier university, Computer Science preferred Experience within 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 ❯

CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯

CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯

CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies More ❯

a related field with a focus on applied statistics, AI, machine learning, or related fields with experience working with predictive and probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL More ❯

You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's More ❯

AI solutions on platforms like Microsoft Azure, AWS, or GCP. Excellent problem-solving skills, with the ability to apply statistical techniques and machine learning algorithms effectively. Strong communication and teamwork skills to collaborate effectively in a dynamic environment. What’s on Offer: Career Growth & Learning – Access to tailored learning opportunities More ❯

You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's More ❯

work in a multi-disciplinary team and will have the opportunity to be involved in strategy to develop bespoke methodologies and ML/AI algorithms for diagnostics and prediction tool development. Responsibilities: Build and optimize ML models for biological age determination and disease stratification based on epigenetic data; Work with More ❯

causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc. Proficiency in Python (must) and familiarity with PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools. Hands-on experience with classical ML and modern More ❯