26 to 50 of 685 Algorithms Jobs in London

developers and interfacing external systems, and collaborating with front-end developers to integrate user-facing elements with server-side logicDesigning efficient data structures and algorithms to manage large-scale and high throughput dataOptimizing applications for speed and scalability through performance analysisActively improve user workflows by collaborating with cross-functional teams ...

matching, and trading workflows operate; build mental models of system behaviour so you can spot anomalies. Apply computer science fundamentals : Use your understanding of algorithms, data structures, networking, and systems design to break down complex problems. Escalate appropriately and ask for guidance : Work independently but recognize when issues need senior ...

possible. Required Qualifications Bachelor’s degree in Computer Science or a related technical field involving software development, or equivalent practical experience. Strong experience with algorithms, data structures, scripting, CI/CD pipeline management, and software design principles. Hands-on experience debugging, optimizing, and automating application and infrastructure workflows. Solid experience ...

Skills Demonstrated experience delivering production software systems at scale. Proficiency in Python and or Java or Scala, with computer science fundamentals including data structures, algorithms, and object-oriented design. Hands-on experience with distributed data processing, such as Spark, and building data pipelines in batch and or streaming patterns. Experience ...

internal Decision Science Laboratory and automated Solution Engine. Applicants should be comfortable with deploying operational ML techniques across relevant problem sets, including signal processing algorithms, time-frequency analysis and parameter estimation. Waveform generation experience would also be useful. The ideal candidate will have a post-doctoral background in a quantitative ...

degree in Computer Science or a related STEM discipline. Production-level software engineering experience in a high-quality, technology-driven environment. Solid understanding of algorithms, software architecture, design patterns, and software engineering best practices. Proficiency in at least one modern programming language (e.g. Python, C++, Java). Strong numerical reasoning ...

design and deliver production systems that enable systematic trading at scale. You partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms. You thrive in a dynamic, collaborative environment and bring a builder’s mindset to continuously improve models, tooling and workflows. Job responsibilities Design ...

data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

/CD pipelines with Git) Ability to maintainable programmes using HTML, CSS, and JavaScript, including strong understanding of programming concepts, data structures, algorithms, and user interface components within the HTML DOM Ability to read others' code Ability to work independently and as part of a team Ability to guide ...

learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical ...

Computer Science, Mathematics, Electrical Engineering or related discipline. 6+ years of software development experience. Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design. Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders. Expert Knowledge ...

turns our clients analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce ...

teams. This can be technical leadership and/or line management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience ...

turns dunnhumby\’s analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail — from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce ...

Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature ...

integrating AI agents with engineering pipelines and enterprise data. Experience with microservice based architectures and containerisation. Experience building and working with mathematical algorithms, or with geospatial, catastrophe or financial‐modelling data. Experience understanding and translating complex business processes across multiple stakeholder groups. BSc degree qualified in a quantitative discipline (Mathematics ...

custom extensions. Proficiency in at least one programming language and ability to become productive in others quickly. Solid understanding of CS fundamentals: data structures, algorithms, concurrency, networking, APIs, testing, and basic security. Ability to reason about unfamiliar systems, read and model codebases, and understand change impacts. Strong communication and collaboration ...

engineer (5+ years) Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations,automated ...

developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

Expertise & Data Science Acumen: Advanced Data Science & Machine Learning: Proven expertise in a wide range of data science methodologies, including statistical modelling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis). Modelling Specialisation: Demonstrable hands-on experience in specific techniques relevant to media and marketing, such as propensity ...

support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future ...

trade-offs for complex ML systems Model Development & Production Design and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimization algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability, drift ...

developing engineers across the team. Thorough knowledge of Java programming concepts (and Python a plus). Strong grounding in object-oriented programming, data structures, algorithms, and design patterns. Experience building highly available, low-latency systems with a small footprint – including JVM internals, performance optimization, concurrency, and tuning for GC-free ...