1 to 25 of 588 Permanent Algorithms Jobs in the UK excluding London

PT-JR015260 - Lead KDB Software Eng - VP Join to apply for the PT-JR015260 - Lead KDB Software Eng - VP role at Morgan Stanley PT-JR015260 - Lead KDB Software Eng - VP 1 week ago Be among the first 25 applicants Join More ❯

concepts across company stakeholders Extra kudos if you have: Prior experience in verification and validation of on-road Motion Planning systems Understanding of decision making, trajectory generation and control algorithms Exposure to automotive testing and simulation frameworks (e.g. Applied Intuition, Carla, etc.) Extensive experience with a variety of CI/CD tools and technologies (e.g., Git, Gitlab, Jenkins, GCP, AWS More ❯

Join to apply for the Software Engineering Director role at AWTG Ltd Join to apply for the Software Engineering Director role at AWTG Ltd We are seeking an experienced Software Engineering Director to lead the company’s software and product More ❯

to our company conference and events. What you'll be delivering Collaborate with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model More ❯

Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Experience working in an agile development team or on open-source development projects. Experience with optimization, algorithms, or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also a plus. Experience with DevOps More ❯

filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications #J-18808-Ljbffr More ❯

data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯

data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯

Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. More ❯

of object-oriented software engineering principles, with a focus on maintainability and scalability. Experience with version control tools, particularly Git, in collaborative development environments. Understanding of core data structures, algorithms, and model performance trade-offs. Familiarity with modern MLOps and model lifecycle practices, including reproducibility, testing, and deployment. Knowledge of responsible AI practices, data governance, and ethical implications of ML More ❯

of object-oriented software engineering principles, with a focus on maintainability and scalability. Experience with version control tools, particularly Git, in collaborative development environments. Understanding of core data structures, algorithms, and model performance trade-offs. Familiarity with modern MLOps and model lifecycle practices, including reproducibility, testing, and deployment. Knowledge of responsible AI practices, data governance, and ethical implications of ML More ❯

science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited … to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science More ❯

all stages of the data lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model Training and Optimisation Design, develop, and implement advanced machine learning algorithms for fraud prevention and user personalization Train and fine-tune machine learning models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining … to extract meaningful insights and features for model training Code Review and Documentation Conduct code reviews to ensure high-quality, scalable, and maintainable code Create comprehensive documentation for developed algorithms and models Collaboration Collaborate with our cross-functional team; including the founders, sales, data scientists, engineers, and product to understand business requirements and implement effective solutions Research and Innovation Stay … Data Science, or a related field. 7+ years of professional experience in a relevant area like fraud prevention or credit scoring Machine Learning Expertise: Strong understanding of machine learning algorithms and their practical applications, particularly in fraud prevention and user personalization. Experience designing, developing, and implementing advanced machine learning models. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and More ❯

exciting period of growth in their London office. In this role, you will join a highly creative, innovative, and passionate team of engineers combining Data Science, AI, ML, optimization algorithms, and automation to enhance human intelligence and solve business problems at scale. You will take on a varied project portfolio, including architecting and implementing robust, modern cloud-based software solutions More ❯

Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years More ❯

We're excited if you have 10+ years of experience building large scale and low latency distributed systems Command of Java, C++ or Go/Golang Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with More ❯

Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. More ❯

with the team Requirements Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning Solid understanding of machine learning algorithms, data structures, and statistical modelling Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn Strong programming skills in languages such as Python, Java, or Scala Strong More ❯

inform strategic decisions. Develop and implement advanced machine learning models and algorithms. Communicate findings and recommendations to non-technical audiences through reports, presentations, and visualizations. Create, maintain, and optimize algorithms on various platforms. Prepare data for analysis with the data engineering team, ensuring data is modelled, transformed, and cleansed effectively. Integrate data into company-wide tools for exploration and analysis More ❯

development experience preferably in Java, C/C++, Python, or Scala, exposure to RDBMS and NoSQL datastores Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team More ❯

art models for computer vision problems including object detection, key-point estimation, segmentation; using Python, PyTorch, Ignite, OpenCV, AWS Research, prototype, and implement state-of-the-art machine learning algorithms Design and implement custom loss functions, evaluation metrics, and training procedures Contribute to model selection, architecture design, and technology stack Evaluate model performance Drive innovation initiatives and proof-of-concept More ❯

building agentic workflows strongly preferred) 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 and Azure) infrastructure & services e.g. More ❯

Download our latest report - Protecting & growing your payments business - At Thredd, we are seeking a highly skilled Senior Software Engineer with expertise in C# and Python to join our dynamic team in the fintech sector. The ideal candidate will be More ❯

to solve very hard real-world engineering problems. Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code … experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data More ❯

growth strategy, this company offers a dynamic environment with varied and challenging projects. Depending on your skills and interests, you could be working on areas such as developing complex algorithms for physical process modelling, applying parallel computing to large-scale simulations, creating intuitive user interfaces (UIs), and producing high-quality 2D and 3D graphics. You will collaborate closely with engineers … to deployment. This is a fantastic opportunity for someone who wants to enhance their technical skills in an environment that encourages growth and innovation. Key Responsibilities: Develop and optimize algorithms for simulating physical processes and industrial systems. Work with parallel processing technologies to accelerate large-scale computations. Design and implement intuitive graphical user interfaces (GUIs) for complex modelling software. Contribute More ❯