1 to 25 of 272 Algorithms Jobs in the UK excluding London

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 ❯

operational performance for global clients. Key Responsibilities Analyse complex industrial and operational datasets to identify patterns, inefficiencies, and optimisation opportunities. Support the development and testing of mathematical models, optimisation algorithms, and forecasting tools. Work collaboratively with product managers, engineers, and domain experts to translate data insights into product features. Prepare clear, concise visualisations and reports for internal stakeholders and senior More ❯

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. The Senior More ❯

containers (Docker, Kubernetes) and experience with cloud platforms such as GCP, Azure or AWS. Strong experience working with Kafka technologies. Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts. Good understating of cloud storage, networking, and resource provisioning It would be great if you had... Certification in GCP "Cloud Architect", "Cloud 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 ❯

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 ❯

such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. More ❯

analysis across diverse datasets. Design and implement scalable, end-to-end data science workflows. Build and deploy machine learning models that optimise energy and system performance. Develop production-ready algorithms from R&D and exploratory analysis. Collaborate with cross-functional teams to translate business needs into data-led solutions. Present technical insights clearly to both technical and non-technical stakeholders. More ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). Programming Proficiency: Strong experience with C# and .NET frameworks. Solid understanding of data structures, algorithms, and programming principles. Experience working with other relevant languages such as Python, JavaScript, or TypeScript. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns More ❯

such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver against requirements and realise business More ❯

drive business impact. Responsibilities - Analyse large, complex datasets to identify trends, patterns, and opportunities for Client’s products and business operations.- Develop and implement statistical models and machine learning algorithms to solve business problems.- Communicate findings and recommendations to stakeholders in a clear and concise manner.- Collaborate with engineering, product, and business teams to design and execute data-driven strategies. More ❯

a Full Stack Developer to help develop cutting-edge computational tools that accelerate chemical research and automation. Responsibilities: Build scalable full-stack applications (frontend + backend) that integrate these algorithms into research platforms. Curate and manage chemical datasets for machine learning applications. Develop and deploy AI/ML models to support chemical synthesis planning and prediction. Create and maintain robust More ❯

Network (NTN) solutions which are transforming the way we connect and communicate. Job Responsibilities Participate in design and develop 5G/6G TN/NTN and AI signal processing algorithms for communications systems, physical layer software and protocol stack software. Participate in 5G radio equipment and user terminals physical layer solution verification, end-to-end testing, network deployment and field More ❯

software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What's in it for you: As a Software Developer/Engineer you More ❯

Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability More ❯

a Quantitative Developer within a hedge fund, prop trading, or systematic trading environment. Strong programming expertise in Python (C++ or Java also advantageous). Excellent understanding of data structures, algorithms, and numerical computing. Experience with time-series data, backtesting, and quantitative research workflows. Familiarity with financial markets and trading systems. Strong communication skills with the ability to collaborate across research More ❯

software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence Apply now to find out more about this Senior Software Engineer/Back More ❯

and Pair Programming You have a good knowledge of SQL and Networking (TCP/IP) You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Algorithms, Design Patterns You're collaborative, enjoy problem solving and are keen to pick up new skills What's in it for you: As a Backend Software Engineer/Developer you More ❯

and Pair Programming You have a good knowledge of SQL and Networking (TCP/IP) You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Algorithms, Design Patterns You're collaborative, enjoy problem solving and are keen to pick up new skills What's in it for you: As a Backend Software Engineer/Developer you 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 ❯

programming, coupled with an innate curiosity and drive to tackle complex challenges.Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver More ❯

programming, coupled with an innate curiosity and drive to tackle complex challenges.Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver More ❯

from senior traders, you will build analytics and automation that enhance the level of sophistication and scale at which the firmwide trading program operates. Responsibilities: Monitor high-volume execution algorithms and portfolio risk Track real-time market developments Interface with external brokers and trading counterparties Contribute to the codebase underlying automated trading operations Build processes and technology to prevent errors More ❯

proactively share findings with the team. About you We're looking for candidates with the following knowledge, experience and capabilities: Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts. Experience with the core Python data stack (Pandas, NumPy, Scikit-learn, etc) developed in a commercial setting, an appreciation of pipeline orchestration More ❯