126 to 150 of 4,271 Algorithms Jobs in the UK

JavaScript is preferred. Experience with AI/ML frameworks and libraries is a significant asset. Production experience with Cloud and ML technologies Experience working in the below areas and algorithms will be ideal but not mandatory: Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation Algorithms: Transformer models, Attention mechanism, Prompt More ❯

backend trends and assess new technologies. What We’re Looking For: 3–5 years of backend development experience. Strong analytical skills with a proven ability to implement sophisticated mathematical algorithms in backend systems. Advanced programming skills with strong knowledge of object-oriented concepts, design patterns, SOLID principles, and multi-tier architectures. Solid understanding of modern software engineering practices (Agile, version More ❯

models, and ensure seamless deployment and integration. Key Responsibilities Collaborate with clients to identify business challenges and opportunities for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI More ❯

For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯

Experience with search and analytics engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including model training, testing, and deployment. Hands-on project experience in network automation; experience with AWX is a plus. Understanding of Git version control and Agile development methodologies. Strong familiarity More ❯

strategies to stay ahead in the market. **Key Responsibilities:** Utilize advanced statistical and machine learning techniques to analyze large-scale datasets and extract actionable insights. Develop predictive models and algorithms to optimize investment portfolios, assess risk exposure, and forecast market trends. Collaborate closely with cross-functional teams to ensure compliance with regulatory requirements and data privacy standards. Implement robust data More ❯

architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect More ❯

architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect More ❯

provide customer service for seller products. Currently, Sellers constitute the majority of the business on The FBA team is responsible for the science, business, and operations of core systems, algorithms, and seller-facing tools and workflows of the FBA service. These systems enable FBA sellers to enroll products, plan inbound shipments, and manage inventory within Amazon's fulfillment network, overseeing More ❯

. Collaborate with internal and external researchers and applied engineering teams. Engage in all aspects of the research lifecycle, including formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications, and communicating research significance. Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ More ❯

SSE, WebSockets, etc. Expertise in HTML, CSS, Javascript with the ability to write complex user interfaces using these languages. This includes knowledge of programming concepts, design patterns,, data structures, algorithms, and UI components or HTML DOM Strong understanding of the browser box model, CSS flexbox, grid and layering and layout Version controlling code with Git Effective communication skills through written More ❯

to-image and 3D/graphics tasks . Collaborate with 3D graphics and rendering teams to integrate AI models into interactive applications and pipelines. Prototype, benchmark, and productionize new algorithms that advance real-time generative AI for both 2D and 3D content. Research and experiment with emerging techniques to keep our technology at the cutting edge. Work cross-functionally to More ❯

worldwide trading — at HRT, the code you write is our business. You’ll have an opportunity to work alongside a range of developers across the firm who write trading algorithms, monitor trading, build and maintain a world-class research environment, and more! As a Treasury Infrastructure Software Engineer, you will be responsible for designing, developing, and maintaining software solutions that 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 ❯

to-image and 3D/graphics tasks . Collaborate with 3D graphics and rendering teams to integrate AI models into interactive applications and pipelines. Prototype, benchmark, and productionize new algorithms that advance real-time generative AI for both 2D and 3D content. Research and experiment with emerging techniques to keep our technology at the cutting edge. Work cross-functionally to More ❯

a timely fashion We're excited if you have 10+ years of experience building large scale and low latency distributed systems Command of Java or C++ 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 ❯

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 ❯

join our team. At Origin, you will have the opportunity to work with exciting and innovative products. One such project Origin Orbit utilizes satellite remote sensing technologies, machine learning algorithms, and Origin’s expertise in integrity management to provide critical insights for onshore gas and water pipeline operators. Another exciting product is Origin No Dig, a multi award-winning patented More ❯

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered More ❯

Experience with search and analytics engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including model training, testing, and deployment. Hands-on project experience in network automation; experience with AWX is a plus. Understanding of Git version control and Agile development methodologies. Strong familiarity 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 ❯

a timely fashion We're excited if you have 10+ years of experience building large scale and low latency distributed systems Command of Java or C++ 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 ❯

to both technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via More ❯

experience, including production systems written in Python Proficiency in a systems language - Rust preferred (C Go also acceptable) - and the desire to deepen that expertise Strong computer-science fundamentals: algorithms, data structures, concurrency, networking, and performance profiling Experience working with real-time and historical market data or other high-volume time-series data Proficiency with Linux development, Git, containers, and More ❯