1 to 25 of 2,215 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 ❯

data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and Databricks. Provide technical leadership and mentorship to junior consultants. Stay up-to-date with the 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 ❯

helping to inform AAD's technology roadmap and strategy. Essential skills and experience About you Technical expertise Deep understanding of AI and machine learning algorithms, proficient in Azure AI Services, together with the ability to create transformation pipelines for unstructured data. Analytical skills Strong analytical and problem-solving skills, with More ❯

Be the subject matter expert, advising and building solutions, in the contexts of PoC, Datalab or Datalake Have an innovative mindset to implement complex algorithms in a Big Data environment Engineering lead and mentoring; contribute to the development of Data Engineers through knowledge sharing and mentorship Manage the technical relationship 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 ❯

business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability 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 ❯

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 ❯

solid software engineering foundations and experience (10+ years). Prior experience developing production quality Python is essential. Proficiency in machine learning and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines. Strong adherence to software and ML development fundamentals (e.g. code More ❯

z2bz0 years of software development experience. Proficiency in one or more programming languages (e.g., Python, Java, C++, Go). Strong understanding of data structures, algorithms, and system design. Experience with distributed systems, APIs, or cloud platforms (AWS, GCP). Experience with databases (SQL and NoSQL). Ability to work in 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 ❯

AI/ML platform products or setting up and scaling MLOps platforms in global organizations. Technical Expertise: Strong understanding of AI/ML technologies, algorithms, and frameworks (e.g., TensorFlow, PyTorch, ONNX), as well as experience with AI/ML workload optimization and deployment.Deep expertise in data architecture and engineering principles More ❯

Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS More ❯

Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS 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 ❯