1 to 25 of 91 Remote/Hybrid Algorithms Jobs in the UK

supervisory duties. Posting date: Monday 22nd June 2026 {11.59pm} Skills AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model Shape the Future of Insurance with Cutting-Edge Tech ...

pipelines. Review code, mentor teammates, and promote engineering best practices. Profile The Backend Developer will have strong software engineering fundamentals, including data structures, algorithms, and system design. Professional experience building and operating backend applications in production environments. Proficiency in at least two or morebackend programming languages such as: Python ...

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 ...

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 ...

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 ...

protocol analysers Strong problem-solving skills and hands-on engineering mindset Desirable Experience Wearable technology development Sports technology products Signal processing Sensor fusion algorithms Python for test automation or data analysis PCB design experience using Altium, KiCad, or similar ECAD tools Manufacturing and product certification experience Experience working in start ...

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 ...

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 ...

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 ...

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 ...

mathematical or scientific background who enjoy solving complex engineering challenges through simulation, modelling and advanced software techniques. Key Responsibilities Design, develop and validate advanced algorithms using tools such as MATLAB/Simulink and Python Produce mathematical models and numerical simulations for complex real-world applications Work closely with software, systems ...

async-std Proficiency with Rust tooling including Cargo, Clippy, Rustfmt, and the wider crate ecosystem Solid understanding of software engineering fundamentals including data structures, algorithms, and systems design Experience with version control, Git, CI/CD pipelines, and automated testing Strong communication and collaboration skills British citizenship and ability ...

integrate data science models seamlessly into our tech stack. Experimentation & Insights Design and execute rigorous A/B tests to validate new features, algorithms, and product iterations. Apply advanced statistical and probability theory to evaluate model performance and user behavior. Utilise our extensive data infrastructure to uncover insights that drive ...

quantitative research methodologies. Requirements • Technical Skills: Strong programming skills in C#/.NET with a solid grasp of computer science fundamentals (data structures, algorithms, and design patterns). • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related quantitative field. • Mindset: An analytical mindset with ...

data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good ...

management, options trading and trading analytics. The successful candidate will contribute to all areas of the trading platform, including risk calculations, volatility models, execution algorithms, research tooling and infrastructure. This is a highly technical role in a fast-moving environment where engineering quality, performance and latency have a direct impact ...

management, options trading and trading analytics. The successful candidate will contribute to all areas of the trading platform, including risk calculations, volatility models, execution algorithms, research tooling and infrastructure. This is a highly technical role in a fast-moving environment where engineering quality, performance and latency have a direct impact ...

experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master ...

product’s capabilities are ahead of competitors in the market. Responsibilities Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple ...

Research Engineer in Greater London. The role involves supporting researchers with large-scale ML pipelines, integrating cutting-edge research with production, and designing ML algorithms in Python. Candidates with a Master's or PhD in Computer Science and 4+ years of relevant experience, particularly in deep learning ...

/or C++ , depending on background) Experience building tools for quant research, systematic strategies, or data-driven trading Solid understanding of data structures, algorithms, and software engineering best practices Familiarity with market data, time-series analysis, or trading system design Ability to work independently while collaborating closely with a small ...