76 to 100 of 229 Algorithms Jobs in London

into a leadership position. Responsibilities: Build on exciting new technologies and integration with wearable devices Develop new features, improve existing code - work on ambitious projects ranging from low-level algorithms to high-level system design; plus the occasional development of a prototype app Utilise the latest Android SDKs and frameworks to implement scalable, maintainable and testable architectures Conduct code reviews More ❯

standards.Implement governance for autonomous decision-making.What We're Looking For:Experience in pre-sales support within consulting or product-driven environments.Deep understanding of AI/ML techniques (RL, planning algorithms, LLM-based agents).Proven track record in building production-ready agentic systems, including multi-agent coordination and decision-making frameworks.Strong grasp of SDLC and software best practices.Familiarity with frameworks like More ❯

come join us! BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis More ❯

be part of reshaping the labour market and becoming the worlds leading job platform. Job Description Join our team and youll be responsible for our recommender systems and search algorithms,building the core infrastructure that powers millions of meaningful connections. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particularly large language models (LLMs More ❯

JOB AD: You will transform research-stage algorithms into production-grade C++ libraries and SDKs that power, encoding tools and playback applications across Windows, Linux, visionOS/iOS and Android platforms Responsibilities: Work across all stages of the software development life cycle to develop software for new and novel product features. Our products are released for use by both customers More ❯

should have the following qualifications: A Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience). Strong expertise in machine learning algorithms, statistical methods, and optimisation techniques. Have a strong track record of scientific research (in any field), and have donework on information retrieval, knowledge representation and reasoning, structured knowledge extraction, or More ❯

should have the following qualifications: A Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience). Strong expertise in machine learning algorithms, statistical methods, and optimisation techniques. Have a strong track record of scientific research (in any field), and have donework on information retrieval, knowledge representation and reasoning, structured knowledge extraction, or More ❯

of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. - Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions PREFERRED QUALIFICATIONS - History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience More ❯

even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯

even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯

even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯

even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯

leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address More ❯

learning engineering or applied data science roles. Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps … working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do More ❯

Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature engineering for complex datasets. Solid understanding of machine learning algorithms and statistical modelling techniques. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

components for their systematic trading platform, working with advanced concurrency patterns and lock-free data structures. You'll be optimizing critical paths where microseconds matter, implementing sophisticated order execution algorithms, and collaborating with quants to deploy new trading strategies. Their stack leverages cutting-edge HPC techniques for market data processing and order management. They are using highly modern C++: custom More ❯

Lead Java Developer you will head up a small, globally distributed team responsible for writing production quality Java code used for pricing and hedging FX instruments and overseeing the algorithms' performance intraday. You'll spearhead a project to modernise the FX Risk and post-trade platform to a modern microservices environment, collaborating with the business and providing technical guidance, code More ❯

development that demonstrates your interest in embedded development. Experience of real-time operating systems such as VxWorks , understanding of networking protocols and a good background in data structures and algorithms would be beneficial. Please not that unfortunately sponsorship is not available for this role, so full existing right to work in the UK is essential. Another top job from ECM More ❯

you attack every problem with enthusiasm. Key job responsibilities - Dive deep and take ownership for critical design issues, overall system performance, etc. - Participate in design reviews for complex systems, algorithms and software development - Define and optimize systems and software architecture and implementation - Define and/or refine system requirements, participate in the development and delivery of features. - Implement key metrics More ❯

world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other More ❯

years of product management or relevant experience in an enterprise setting Bachelors degree in a related field of study; and/or equitable work experience Experience launching performance optimization algorithms while managing opportunity costs. Highly truth-seeking and effective in selecting of north star KPIs, assessing authenticity of analyses, and testing rationale of data narratives to surface effective next-steps. More ❯

industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch or similar libraries. Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling. Strong foundation in biology, biochemistry, and/or biophysics, with a clear understanding of molecular biology More ❯

foundation development. Responsibilities Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200). Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data. Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame More ❯

think deeply about a business problem and devise a well-thought-out and pragmatic algorithmic solution. And you get satisfaction from working with non-technical stakeholders and seeing your algorithms shipped and driving measurable impact to the business. Requirements 3+ years' experience as a ML Engineer or Data Scientist Ability to produce accurate forecasts across multiple business domains accounting for More ❯