1 to 25 of 71 Permanent Algorithms Jobs in London

Storytelling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch ...

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 ...

Strong Java, Python, microservices, REST APIs, distributed systems. RDBMS (Oracle/SQL Server/Postgres), CI/CD, Docker, Kubernetes. JVM tuning, performance optimisation, algorithms & data structures. L3 production support experience. Experience with LLMs, AWS, LangChain/LangGraph, and agentic AI frameworks. Desirable: Mentoring/technical leadership. Financial services experience. ...

marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear and engaging manner, making data ...

Innovation Factory London, UK Qualifications Bachelor’s degree or equivalent practical experience. 8 years of experience in software development and with data structures/algorithms in either C, C++, Python, Java or Go. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing ...

from our data assets and maximise customer value. What you’ll do: Producing high‐quality, actionable insights through advanced analytics and cutting‐edge predictive algorithms; work as a self‐starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve ...

from our data assets and maximise customer value. What you’ll do Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms: work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve ...

LangChain, LlamaIndex), and their application in enterprise environments is a must. This must be underpinned by a profound understanding of core machine learning principles, algorithms, and data science methodologies.* Full Lifecycle Ownership: Extensive hands-on experience and technical authority throughout the entire software development lifecycle, from conceptualization and design ...

leadership role in AI/ML, software development, or SaaS start‐ups. You have a keen interest the latest in Gen AI and LLMs, algorithms, and technologies (e.g., NLP, computer vision, predictive analytics). Experience with cloud platforms (AWS, Google Cloud, Azure) and experience with microservices, containerisation (Docker, Kubernetes), DevOps ...

design principles, Swagger/OpenAPI, and Spring REST MVC.* Proficient in building and delivering enterprise-grade Java applications.* Hands-on experience with data structures, algorithms, concurrency, and multi-threading.Database Management* Strong SQL knowledge with experience in relational databases such as Postgres.* Working knowledge of object storage solutions, e.g., AWS S3. ...

delivering low-latency, performance-sensitive systems on Linux - production code where determinism, throughput, and tail latency matter Strong computer science fundamentals: data structures, algorithms, concurrency, performance optimisation Demonstrable ability to design software architecture and make sound technical trade-offs Strong debugging and profiling skills (perf, valgrind, sanitizers, flame graphs ...

cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation ...

cloud platforms: Azure, AWS, or GCP.Preferred qualifications* Minimum 8-10 years in the industry* Experience on DevOps concepts and way of working* Experience with algorithms and data structures.* Experience in Observability practices with logging, metrics, tracing, and alerting.* Experience with Infrastructure as Code.* Understanding of identity and access management ...

/Linux and Windows environments Strong understanding of agile software development methodologies Solid grasp of fundamental software engineering principles including object-oriented design, databases, algorithms, and data structures Excellent design and problem-solving skills with experience providing architectural guidance Motivation to acquire knowledge of the financial sector (understanding of derivatives ...

What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data ...

standards around testing, code quality, and reliability Core Technical Requirements Strong professional experience with modern C++ (C++17/20) Deep understanding of data structures, algorithms, and low-level system behaviour Experience working on latency-sensitive or performance-critical systems Strong knowledge of Linux, memory management, and concurrency Comfortable debugging complex ...

them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo. ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

solutions to address complex business challenges. Collaborate with cross-functional teams to integrate AI technologies into existing systems. Research and apply advanced machine learning algorithms and techniques to improve business processes. Analyse large datasets to derive actionable insights and drive data-driven decision-making. Develop and maintain scalable AI models ...

solutions to address complex business challenges. Collaborate with cross-functional teams to integrate AI technologies into existing systems. Research and apply advanced machine learning algorithms and techniques to improve business processes. Analyse large datasets to derive actionable insights and drive data-driven decision-making. Develop and maintain scalable AI models ...

solutions to address complex business challenges. Collaborate with cross-functional teams to integrate AI technologies into existing systems. Research and apply advanced machine learning algorithms and techniques to improve business processes. Analyse large datasets to derive actionable insights and drive data-driven decision-making. Develop and maintain scalable AI models ...

quantitative or technical field (e.g. Computer Science, AI, Mathematics, Statistics, Physics, Engineering) Strong Python skills with experience building machine learning models and scalable algorithms Proven experience working with large, complex datasets to optimise performance and decision-making Commercial experience applying data science in real-world environments , ideally within fast-paced ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...