1 to 25 of 230 Permanent Algorithms Jobs in England

stakeholder reporting. Analyse large volumes of structured and unstructured data from diverse sources to identify patterns, anomalies, and potential risks. Develop analytical models and algorithms to support fraud detection, financial crime monitoring, misconduct investigations, and regulatory compliance initiatives. Apply advanced analytical techniques to detect suspicious transactions, behavioural patterns, and emerging ...

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 ...

/AI for quant finance (signal extraction, surrogate modeling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimization, hedging algorithms, execution analytics, and transaction cost modeling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large-scale simulations. Contributions ...

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 You have SC Clearance or are eligible ...

/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large‐scale simulations. Contributions ...

with Git for version control. Proficiency in JavaScript/TypeScript and React. Experience with Back End languages: Java, Python or Go. Solid understanding of algorithms, data structures and core software engineering principles. Hands-on experience with Docker. Knowledge of CI/CD pipelines and automated testing frameworks. Strong written ...

best practices across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You can start a fulltime position in September 2026 What's in it for you: As a Graduate Software Engineer/Developer you will earn ...

development of ML‐powered products. Advanced Python programming skills and a track record of delivering robust software solutions. Proficiency with standard deep learning algorithms and model architectures. In depth knowledge in machine learning best practices, scalable training and deployment. Experience operating in cloud environments (e.g., Azure, AWS, or GCP). ...

with a track record of taking models from prototype to production in large, complex environments. Technical depth across modern AI. Deep expertise in ML algorithms, neural networks, large‐scale architectures, and modern frameworks. Hands‐on experience with Generative AI, Agentic AI, LLMs, foundation models, and large‐scale inference. Strong engineering ...

improving outcomes for clients and the firm, this role was built for you. Responsibilities Execution Algorithm Design & Development Design, implement, and maintain production execution algorithms from scheduling models to adaptive allocation strategies driven by real‐time signals and analytics. Build and enhance and optimize venue selection, queue priority modelling ...

Science, Engineering or similar. Experience with Go. Strong experience with Git for version control. Proficiency in JavaScript/TypeScript and React. Solid understanding of algorithms, data structures and core software engineering principles. Hands-on experience with Docker. Knowledge of CI/CD pipelines and automated testing frameworks. Desired Skills 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 ...

problem solving, working on complex, distributed systems You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a scaling company in a role that you can shape and influence What's in it for you: As a Lead ...

commercial experience but will also consider personal projects You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What ...

have a good knowledge of event driven architecture You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patters, Algorithms You have a good understanding of CI/CD and Infrastructure as Code (IaC) You have an appreciation of Azure, SaaS, PaaS, microservices ...

product partners and stakeholders to identify opportunities to apply AI/ML to content, data, and products • Conduct research and identify AI/ML algorithms and methods to solve specific business problems • Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams ...

workflows. Knowledge of Docker and containerised application deployment. Familiarity with CI/CD pipelines, automated testing, and DevOps practices. Understanding of software engineering fundamentals, algorithms, and data structures. Exposure to Kubernetes or other container orchestration platforms. Awareness of web security principles and secure development practices. Experience working within Agile delivery ...

transformer architectures (e.g., GPT, BERT, T5). Expertise in deep learning frameworks such as TensorFlow , PyTorch , or JAX . Strong knowledge of machine learning algorithms and their application to NLP tasks. Experience with cloud platforms such as AWS, GCP, or Azure for model deployment and scalability. Experience in building APIs ...

deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning ...

GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills ...

Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills Required: Competent in primary tech stack Confident with computer science basics (algorithms, data structures, complexity, design patterns) Is productive with the basic tools in their discipline Key Skills Can contribute to an existing framework and is able ...

tool within a regulated or mission-critical environment). Deep knowledge of modern AI and machine learning techniques and frameworks (e.g. machine learning algorithms, model lifecycle management, data engineering for AI) and the ability to apply these effectively on real-world projects. Excellent analytical, communication and leadership skills, with hands ...

robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact ...

containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core values ...

skills Flexible approach to hybrid working and occasional travel Nice to have: Degree in Computer Science or related field Strong CS fundamentals (data structures, algorithms, problem solving) Healthcare/HealthTech experience Immediate availability If you're interested in this role, click 'apply now' to forward an up-to-date copy ...