1 to 25 of 32 Remote Algorithms Jobs in London

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in Python and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain More ❯

expertise to transform complex agricultural and earth observation data into actionable insights that drive innovation in Syngenta's Computational Agronomy Department. This role will develop cutting-edge models and algorithms that enable data-informed agricultural decision-making, supporting Syngenta's mission to improve global food security and sustainable farming practices. Working within cross-functional teams, the Geospatial Data Scientist will More ❯

software development within a fast-paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are More ❯

Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability More ❯

Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability More ❯

actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using More ❯

someone who combines strong engineering fundamentals with practical ML delivery experience, and who enjoys working collaboratively in agile teams. Youll bring: Strong Python development skills and solid grasp of algorithms, data structures and cloud concepts. Experience contributing to solution design and familiarity with architectural patterns/frameworks. Proven delivery of serverless pipelines in Azure/AWS/GCP (Azure highly More ❯

delivery, and software product design. 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 scientists across project teams Contribute More ❯

when not to. Understand the difference between AI-assistance and outsourcing your thinking. Use AI to enhance speed, quality, reliability, and documentation. Have a strong engineering foundation for debugging, algorithms, and systems without relying on LLMs. We are not looking for vibe coders. We want thoughtful engineers who use AI as leverage, not a crutch. Personal Qualities Comfortable collaborating synchronously More ❯

scientists to extra ct value 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 our customer experience . Designing and More ❯

models for prediction, classification, clustering, or optimization. Apply supervised and unsupervised learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch. Implement NLP, time-series forecasting, or optimization algorithms based on project requirements. Evaluate models using appropriate metrics and perform hyperparameter tuning for optimal performance. Convert proof-of-concept models into production-grade pipelines in collaboration with MLOps and More ❯

designing distributed systems, APIs, and microservices at scale. Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. Strong knowledge of data structures, algorithms, and system design principles. Demonstrated experience influencing technical direction across teams and driving alignment on complex engineering decisions. Passion for delivering elegant, high-performance software and solving complex technical challenges More ❯

network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Technical Writer/Author you'll take ownership of documenting technical processes and procedures across More ❯

is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities Review and refine AI-generated prompts, responses, and code Validate algorithms and software concepts for technical accuracy Provide structured feedback on solution quality and clarity Tag and organize content by topic, difficulty, or language Support benchmarking efforts to assess model capabilities More ❯

decisions through data-driven recommendations.Key Responsibilities: Lead the implementation and integration of new BI systems (e.g., Domo). Collect, analyse, and interpret complex data for strategic business improvements. Develop algorithms and models for machine learning and predictive analytics. Create, maintain, and improve BI databases and reporting dashboards. Provide analysis on products, pricing, and markets to identify trends. Collaborate with stakeholders 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 ❯

network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a DevSecOps Engineer you will play a crucial role in building and securing cloud-native platforms More ❯

best practices Debug and optimize existing systems for performance and reliability Work closely with stakeholders to understand requirements and deliver solutions Your Skills & Expertise Solid understanding of data structures, algorithms, and software design principles Good knowledge of Python and object-oriented programming principles Understanding of relational databases and database design fundamentals Familiarity with unit testing and integration testing practices Comfortable More ❯

and a globally distributed team. Job Description Calibrate SSVI or similar volatility surfaces using market data to ensure smoothness, arbitrage-free conditions, and temporal stability; Design and implement automated algorithms for adjusting surface parameters such as skew, curvature, and wing dynamics; Tune and debug models under realistic market conditions – including bid/ask spreads, market noise, and incomplete markets; Analyze More ❯

recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. More ❯

and pay off technical debt. Triage and resolve product/system issues. ??? Tech Stack: Golang, Typescript, Angular SQL, Relational & Non-relational databases ? Core Skills Required: Programming, Data Structures, and Algorithms Systems Thinking and SWE System Design Debugging and Test Engineering Apply today to define your technical impact! Randstad Technologies is acting as an Employment Business in relation to this vacancy. More ❯

systems.Key Responsibilities Build and optimize GraphRAG pipelines integrating LLMs with knowledge graphs. Develop graph-based retrieval strategies and combine them with vector search for hybrid RAG. Implement graph traversal algorithms and entity-relation extraction from unstructured data. Collaborate with data scientists and engineers to deploy scalable AI solutions. Required Skills Strong experience with GraphRAG or Graph-based RAG architectures. Proficiency More ❯

already very profitable. Data Scientist We are looking for an exceptional Data Scientist to join us at this exciting time as we build on our growth. Our machine learning algorithms literally need to be outstanding for our clients to use us. As an early joiner, the Data Scientist role is key, and provides multiple opportunities for the right person to … are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is improving the predictive power of algorithms, improving client insights available through the user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including … presentations for clients based on data and market insights Interacting with clients on a regular basis and providing pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master More ❯

Remote roles for award-winning specialist agricultural software company. Delivering sustainable farming data-driven technology solutions. Degree educated with proven track record as C#/.Net Back-End Developer. Remote-Friendly Software Development Opportunity in Agricultural Technology Join an award More ❯