126 to 150 of 755 Algorithms Jobs in England

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 ...

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 ...

What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data ...

What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data ...

What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data ...

allow you to develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

maintaining ML infrastructure, training platforms, or inference systems* Solid understanding of distributed systems, parallel computing, and large-scale data processing* Strong fundamentals in algorithms, data structures, and system design Nice to Have * Experience optimising ML inference for robotics, edge, or embedded systems* Exposure to low-level systems concepts such ...

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 ...

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 ...

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 ...

deep learning, reinforcement learning (RL), and generative models. Responsibilities:- Contribute to ongoing research in machine learning and artificial intelligence Help develop and implement algorithms Collaborate with researchers and engineers to explore and evaluate new ideas Assist in preparing publications and technical reports Stay up to date with the latest advancements ...

partners. You will be part of a team whose responsibilities include: Building scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocating for data science ...

Junior Data Analyst/Clinical Research Assistant/Imaging Data Analyst/Computer Science/Software Engineering/Data Science/Data Structures/Algorithms/Databases/Operating Systems/Data Analytics/Python/SQL/Linux/Regulated Data/Clinical Trials/ ...

including working with large data sets Responsibilities for Machine Learning Research Engineer: Join a team responsible for investigating the latest research in machine learning algorithms largely within the NLP field along with some computer vision Make suggestions based on the feasibility of research to help shape future projects and products ...

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 ...

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 ...

. Translate mathematical and algorithmic models into efficient, production-quality code. Contribute to model-driven engineering , combining both autogenerated and manually written code. Validate algorithms through MATLAB/Simulink simulation. Design and maintain robust software architectures using UML modelling tools (e.g. IBM Rhapsody). Apply best practices in static analysis ...

underlying mathematical foundations of statistics and machine learning. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning ...

quantitative finance models Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills Machine Learning Expertise : Deep understanding of ML algorithms (supervised/unsupervised learning, reinforcement learning) Extensive experience with neural networks, including RNNs, LSTMs, Transformers Expertise in gradient boosting, random forests, and ensemble methods Experience ...

least one other language (e.g., Rust, Haskell, Julia, etc.). Experience building and maintaining long-term software projects. Strong Computer Science fundamentals (algorithms, data structures, design principles). An advanced degree in Computer Science, or related degrees (optional, but preferred). Exposure to greenfield projects and experience scaling them ...

least one other language (e.g., Rust, Haskell, Julia, etc.). Experience building and maintaining long-term software projects. Strong Computer Science fundamentals (algorithms, data structures, design principles). An advanced degree in Computer Science, or related degrees (optional, but preferred). Exposure to greenfield projects and experience scaling them ...

include forecasting, recommendation systems and classification tools. Key Responsibilities Build ML and GenAI solutions in Python, using Databricks, Kafka and AWS Deploy and maintain algorithms in a microservices environment Lead on automation, monitoring, version control and MLOps best practice Support knowledge sharing across the ML and AI community Identify opportunities ...

prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

microservices at scale. Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. Strong knowledge of data structures, algorithms, and system design principles. Demonstrated experience influencing technical direction across teams and driving alignment on complex engineering decisions. Passion for delivering elegant, high-performance software ...