1 to 25 of 56 Algorithms Jobs in Berkshire

Spark, Hadoop). Experience in consulting or client-facing roles, with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms, statistical modeling, and data visualization tools (Power BI, Tableau). Excellent communication and presentation skills. Preferred Qualifications: Master's or Ph.D. in Data Science, Computer ...

analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines Communicate findings & recommendations with clear visual and written formats to stakeholders Requirements Pursuing (or recently completed) B.Tech/ ...

address challenges across multiple business domains. •Mine and process large structured and unstructured datasets to extract meaningful features and patterns. •Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements •3+ years of experience in data science or a related field. •Proven expertise in data mining ...

using MLOps and DevSecOps best practices. Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining algorithms, enhancing features, and driving better product outcomes over time. Responsible AI: Embed principles of responsible and explainable AI throughout development to ensure outputs are trusted, transparent, and compliant ...

above) in Computer Science, Mathematics, Physics, Engineering, or another quantitative discipline Curiosity about quantitative finance, markets, and data-driven decision making Solid understanding of algorithms, data structures, and software engineering principles Desire to learn, experiment, and solve complex technical problems Ability to communicate clearly and work effectively in a team ...

4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability to explain complex concepts in a simple, practical ...

4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability to explain complex concepts in a simple, practical ...

roadmap. Qualifications Proven experience in software engineering, including proficiency in programming languages like Python. Strong knowledge of AI/ML technologies, data structures, and algorithms Hands-on experience with cloud-based platforms and infrastructure (e.g., AWS, Azure, Google Cloud) Familiarity with renewable energy industry, contract management, or financial analysis ...

customers and translating requests into prioritized work or features Expertise in applying risk identification techniques to develop security solutions Experience and understanding of Cryptographic algorithms, standards, implementation and application Experience and understanding of threat modeling, penetration testing, reverse engineering and attacks on software Experience working with large enterprise customers ...

customers and translating requests into prioritized work or features Expertise in applying risk identification techniques to develop security solutions Experience and understanding of Cryptographic algorithms, standards, implementation and application Experience and understanding of threat modeling, penetration testing, reverse engineering and attacks on software Experience working with large enterprise customers ...

systems, and quantitative research What We're Looking For Strong programming skills in C#/.NET Solid grasp of computer science fundamentals (data structures, algorithms, design patterns) Analytical mindset with a genuine interest in finance and quantitative methods Bachelor's or Master's degree in Computer Science, Mathematics, Engineering ...

Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious ...

Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious ...

realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug ...

selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition ...

This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio ...

This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio ...

market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: Develop and enhance high-performance trading systems. Optimise execution algorithms for systematic trading. Contribute to research and simulation frameworks. Key Requirements Bachelor's degree in Computer Science or closely related field Interesting internship(s) within trading ...

real problems with real impact. Requirements: Impressive programming skills in Python Prior experience in solution design, system design & architectural patterns good understanding of programming, algorithms and modern cloud platforms built and shipped serverless pipelines in a cloud environment (Azure preferred) experience building CI/CD pipelines Great understanding of various ...

platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a C++ Developer you will focus on enabling the core product ...

with GenAI 'slopaganda'. Superhuman AI makes it increasingly difficult for humans to detect hyperrealistic bots, so the team at Egregious have designed AI algorithms to protect the internet from these novel threats. We're looking for another Fullstack Engineer to join our extraordinary team. Someone who thinks the internet ...

warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

deliver the best user experience. We expect engineers to have the desire of curiosity, passion, a driven, enthusiastic mentality, to be proficient in algorithms, problem solving, and crafting scalable, resilient, and fault-tolerant architectures. Effective communication is an attribute we care deeply about, as an engineer you and your team ...

across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems ...