26 to 50 of 101 Algorithms Jobs in London

market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: Develop and enhance high-performance trading systems. Optimise execution algorithms for systematic trading. Contribute to research and simulation frameworks. Key Requirements Bachelor's degree in Computer Science or closely related field Interesting internship(s) within trading ...

Strong foundation in probability, statistics, and linear algebra. Solid intuition for ML/AI methods. Strong Python skills; ability to read C++. Knowledge of algorithms, data structures, and performance optimization. Comfortable with Linux/Unix, Git, and modern dev practices (tests, CI/CD, containers). Clear communicators who take ...

with GenAI ‘slopaganda’. Superhuman AI makes it increasingly difficult for humans to detect hyperrealistic bots, so the team at Egregious have designed AI algorithms to protect the internet from these novel threats. We're looking for another Fullstack Engineer to join our extraordinary team. Someone who thinks the internet ...

warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR) and implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions ...

advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver ...

warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk ...

This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio ...

workflows across high-touch, low-touch, and algo trading flows. Familiarity with market structure (US, EMEA, APAC) and concepts such as order types, execution algorithms, and smart order routing. Strong grasp of front-to-back trade life cycle, including order creation, execution capture, allocations, trade booking, and regulatory reporting. Knowledge ...

deliver the best user experience. We expect engineers to have the desire of curiosity, passion, a driven, enthusiastic mentality, to be proficient in algorithms, problem solving, and crafting scalable, resilient, and fault-tolerant architectures. Effective communication is an attribute we care deeply about, as an engineer you and your team ...

across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems ...

code quality Tech Stack & Skills: Strong proficiency in core Java Exposure to JavaScript/TypeScript & HTML5 is a plus Deep understanding of data structures, algorithms, and performance optimization Familiar with modern SDLC tools and CI/CD workflows Competitive compensation package and a flexible hybrid working model. ...

demonstrating expertise in data-driven decision-making and analytics. Data and AI Analysis and Insights: Oversee the design, development, and execution of data models, algorithms, and analytical frameworks. Drive data exploration, visualization, and interpretation to extract meaningful insights. Present findings and recommendations to clients and internal stakeholders in a clear ...

Exceptional programming skills in Python and/or C++, with a focus on writing clean, performant production code Strong understanding of core CS fundamentals (algorithms, distributed systems, profiling, testing) Experience in a systematic trading environment or quantitative data domain is highly advantageous, though not essential A problem-solver with ...

users. • Strong Python; exposure to AWS, Docker, Terraform/CDK, etc. • Experience with basic web computing constructs: APIs, authentication, etc. • Solid grounding in ML algorithms, MLOps, and data science. • Ability to work with customers/stakeholders to help them achieve their goals. • Willingness and ability to travel to customer offices ...

review the development work of other lead software developers. You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Learn, use, and improve best practices and processes for high-quality software development. Our technology stack includes Python ...

years of leadership experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing ...

influence and impact. To be successful as a Risk Plaform .Net Developer, you should have: Strong experience of .NET programming, data structure and algorithms Interaction with webservices (REST/WCF) Familiarity with databases (MS SQL) and optimisation of queries Previous experience in financial services Some other highly valued skills ...

will focus on the development of disruptive technologies for HPC, AI/ML Technologies for real time Imaging. This role will focus on Algorithms development to optimise Metaheuristic optimisation and also develop code and to test it. The successful applicant will have a good relevant Degree or PhD with proficiency ...

Strong proficiency in any OO language (they are agnostic) - (low-latency or systems-level experience preferred) Deep understanding of data structures, algorithms, and computer architecture Proven ability to tackle complex challenges with initiative and agility in high-pressure environments Apply now or reach out directly: hhandelman@hunterbond.com for more details ...

with the desk and have a clear impact on how day-to-day decisions get made. You’ll get to build and improve the algorithms themselves, make sure data flows, and deploy models into production. You'll have interaction with traders and analysts on a daily basis, understanding what they ...

trading capabilities. Take end‐to‐end ownership of projects, from design through to deployment and iteration. What you bring Strong software engineering fundamentals: algorithms, data structures, architecture. Commercial experience in C# and/or Python, ideally on complex, high‐performance systems. Interest in quantitative finance and how engineering accelerates research ...

address key business challenges in the insurance sector. Collaborate with the analytics team to identify opportunities for leveraging data-driven solutions. Deploy machine learning algorithms into production environments efficiently. Optimise model performance and ensure scalability for large data sets. Analyse and interpret data to provide actionable insights for stakeholders. Stay ...

range of data science, analysis, and engineering skills. Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration. Partnering with researchers in the research development process, and take on coding tasks that optimise research project delivery. This ...