1 to 25 of 236 Algorithms Jobs in England

Present architectural designs and technical proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews, security hardening and continuous integration More ❯

Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver More ❯

structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. Writing and optimising complex More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in Python and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain More ❯

Required Qualifications · Associate degree in Computer Science, Engineering, or related field. · 7+ years in software/infrastructure engineering with observability/logging focus. · Strong foundation in operating systems, networking, algorithms, and distributed systems. · Expertise in: o Programming (eg. Python, .Net, Java, Go, ) o System architecture and AI Ops o CI/CD (eg. GitHub Actions, Azure DevOps) o Infrastructure as More ❯

remotely. What will you be doing? Design, develop, and maintain robust, well-structured, and well-documented Python-based analytics and optimization modules for our Pulse product. Implement and optimize algorithms for econometric marketing mix modeling, forecasting, and advanced analytics. Tackle large-scale data processing, model optimization, and real-world forecasting challenges. Ensure high code quality through thorough unit and integration More ❯

expertise to transform complex agricultural and earth observation data into actionable insights that drive innovation in Syngenta's Computational Agronomy Department. This role will develop cutting-edge models and algorithms that enable data-informed agricultural decision-making, supporting Syngenta's mission to improve global food security and sustainable farming practices. Working within cross-functional teams, the Geospatial Data Scientist will More ❯

solve complex challenges, and deliver impactful solutions that build tomorrows worldtoday. Job Description Join our team to help deliver fast-paced, high-impact Defence software solutions that translate complex algorithms into operational capabilities. Youll work closely with algorithm engineers to integrate mathematical and software models into production-ready, reliable, and maintainable systems. This is a unique opportunity to apply your More ❯

software development within a fast-paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are More ❯

software development within a fast-paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are More ❯

tools (e.g., Wireshark). Solace or similar messaging platforms. eFX pricing systems and algorithmic trading frameworks. Desirable Postgraduate qualification in computing, mathematics, or statistics. Experience with FX ECNs, pricing algorithms, FIX engines/APIs. Knowledge of FX Options and FIX packages. Competencies Ability to quickly learn and apply new technologies. Strong technical acumen and delivery focus. Clear communicator with the More ❯

tools (e.g., Wireshark). Solace or similar messaging platforms. eFX pricing systems and algorithmic trading frameworks. Desirable Postgraduate qualification in computing, mathematics, or statistics. Experience with FX ECNs, pricing algorithms, FIX engines/APIs. Knowledge of FX Options and FIX packages. Competencies Ability to quickly learn and apply new technologies. Strong technical acumen and delivery focus. Clear communicator with the 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 ❯

offices or a client location) for collaboration sessions, customer meetings, and internal workshops. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience More ❯

in Computer Science, Mathematics, Physics, Engineering, or a similar field 5+ years of hands-on experience developing Java applications in a financial services environment (Java 21) Excellent knowledge in algorithms and data structures, object-oriented design, and microservices architecture (This will be tested) Proven record of complex software delivery in the Interest Rates domain Excellent Java 21, Spring Boot, strong More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using More ❯

junior engineers and promote best practices. Qualifications 5+ years of software engineering experience, preferably in financial or trading systems. Strong programming skills in java and python Solid understanding of algorithms, data structures, and system design. Experience building distributed or high-throughput applications. Ability to work collaboratively and communicate technical concepts clearly. Bachelor's or Master's degree in Computer Science More ❯

quantitative expertise to train, evaluate, and refine cutting-edge AI models for real-world, high-speed market applications. Responsibilities Collaborate with AI researchers to design, train, and validate trading algorithms and quantitative models, including high-frequency trading strategies. Apply advanced mathematical, statistical, and computational methods to improve model stability, execution accuracy, latency performance, and market adaptability. Evaluate and refine algorithmic More ❯

state-of-the-art predictive models (e.g. Two-Tower, Recurrent Neural Networks, XGBRanker) that drive the internal Ad ranking and assignment algorithms. Optimise Feedback Loops: Increase responsiveness of ad algorithms to real-world events and outcomes in the pursuit of real-time decisioning. Lead Technical Strategy: Proactively lead the design, development, and deployment of data science solutions. Production Excellence: Write More ❯

someone who combines strong engineering fundamentals with practical ML delivery experience, and who enjoys working collaboratively in agile teams. Youll bring: Strong Python development skills and solid grasp of algorithms, data structures and cloud concepts. Experience contributing to solution design and familiarity with architectural patterns/frameworks. Proven delivery of serverless pipelines in Azure/AWS/GCP (Azure highly More ❯

preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ability to collaborate effectively with cross-functional teams and manage project timelines. Exceptional problem More ❯

practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g., Snowflake, Databricks), cloud-based technologies, data mesh architectures, and big data ecosystems. Experience with More ❯

field which MUST incorporate a placement year (i.e. sandwich course). Demonstrable experience with programming languages such as Python, Java, Scala, or R. Understanding of data flows, data structures, algorithms, data engineering principles, and business intelligence (BI) systems. Ability to work independently and as part of a team. Strong problem-solving and communication skills Interest in weather and climate science. More ❯