1 to 25 of 116 Algorithms Jobs in Central London

role for someone who thrives in ambiguity, enjoys building from first principles, and wants to see their work directly impact healthcare outcomes. Responsibilities Develop and deploy ML/NLP algorithms that extract structured insights from biomedical literature and clinical data Build scalable data pipelines and APIs for knowledge graph construction and semantic search Collaborate with domain experts to align model More ❯

remotely. What will you be doing? Design, develop, and maintain robust, well-structured, and well-documented Python-based analytics and optimization modules for our Pulse product. Implement and optimize algorithms for econometric marketing mix modeling, forecasting, and advanced analytics. Tackle large-scale data processing, model optimization, and real-world forecasting challenges. Ensure high code quality through thorough unit and integration More ❯

analysts to understand real-world requirements and translate them into elegant technical solutions. What We’re Looking For Solid understanding of Java and core computer science principles (data structures, algorithms, OOP). Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python 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 ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

paced, high-impact environment. Key Responsibilities of the Front Office Developer Install, upgrade, and support trading platforms for the Interest Rates Options desk. Design, develop, test, and document trading algorithms used across multiple desks. Automate options pricing and real-time risk processes for Front Office users. Build and maintain time-series databases , performing quantitative analysis on volatility and risk . More ❯

in Computer Science, Mathematics, Physics, Engineering, or a similar field 5+ years of hands-on experience developing Java applications in a financial services environment (Java 21) Excellent knowledge in algorithms and data structures, object-oriented design, and microservices architecture (This will be tested) Proven record of complex software delivery in the Interest Rates domain Excellent Java 21, Spring Boot, strong More ❯

delivering systems used daily across the US, Europe, and Asia. What They’re Looking For 8+ years of professional Core Java development experience Strong knowledge of data structures and algorithms Hands-on experience with SQL and at least one scripting language (Python, Perl, Shell etc.) Solid understanding of network programming fundamentals Degree in Computer Science, Engineering, or related STEM field More ❯

lead, and mentor a high-performing AI and Machine Learning engineering team . Design, implement, and optimise AI/ML models for perception, decision-making, and control. Integrate AI algorithms into both enterprise-scale and edge-deployed systems . Work with customers to translate complex problems into AI-powered solutions . Lead on data strategy , from collection and simulation to More ❯

set of technical and soft skills, as both are essential to perform in this role. • Programming Proficiency: •Strong experience with C# and .NET frameworks. •Solid understanding of data structures, algorithms, and programming principles. •Experience working with other relevant languages such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines More ❯

modern compute infrastructure to improve research and execution workflows. What you need Strong programming background, primarily in Python (NumPy, Pandas, SciPy, etc.). Solid understanding of computer science fundamentals – algorithms, data structures, and software design. Experience within a quant, trading, or financial markets environment (hedge fund, prop desk, or similar) is ideal. Degree in Computer Science, Mathematics, Physics, or a More ❯

end delivery of complex data science and machine learning projects Define and drive data science strategies that align with client goals and broader organizational objectives. Develop tailored models and algorithms to solve unique client problems to deliver real business value. Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools. More ❯

Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service 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 ❯

What We’re Looking For Strong expertise in Python (typically 6+ years) building production-grade software in financial services, trading or data-intensive domains. Solid grasp of data structures, algorithms and software design . Experience with cloud platforms ( AWS/Azure ), distributed data platforms or data warehouses. Familiarity with quantitative analysis, risk models or front-office systems is advantageous. Proven More ❯

field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills More ❯

for someone who enjoys problem-solving, data, and real-world impact. Key Responsibilities: Gather and interpret user requirements from utilities, local authorities, and developers Design, test, and refine optimisation algorithms for energy modelling and forecasting Collaborate with software engineers and data scientists to integrate models into live products Conduct research on emerging industry trends and modelling techniques Produce clear, high More ❯

be a distinct advantage KEY RESPONSIBILITIES Work closely with the FX front office team by taking requirements and developing user analytics and solutions to aid MIS, pricing/trading algorithms and ultimately P&L. Prototype solutions in a fast, agile manner with numerous demands from Front Office teams. Be comfortable performing analysis and manipulation of large data sets in a More ❯

third-party providers. Familiarity with cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. Why Synthesis? Synthesis is known for More ❯

making We are looking for: Experience supporting pre-sales activities in a consultancy or product-led environment Strong understanding of AI/ML techniques, such as reinforcement learning, planning algorithms, LLM-based agents, and simulation environments Proven experience in designing and developing agentic systems for production environments, including autonomous agents, multi-agent coordination, and decision- making frameworks Detailed knowledge of More ❯

years’ experience in data science or ML (not a graduate role; sports background a plus) Strong Python skills (pandas, numpy, scikit-learn, etc.) Hands-on experience with tree-based algorithms (XGBoost, LightGBM) and other ML methods Solid grasp of statistics, probability, and applied maths Proficiency in SQL , familiarity with NoSQL Comfortable using Git and Jupyter notebooks A practical, problem-solving More ❯

production-grade software. Proficiency in Python and at least one other language (e.g., Rust, Haskell, etc.). Experience building and maintaining long-term software projects. Strong Computer Science fundamentals (algorithms, data structures, design principles). An advanced degree in Computer Science, or related degrees (optional, but preferred). Exposure to greenfield projects and experience scaling them up (optional, but preferred More ❯

visibility. High expectations. No bureaucracy. Core requirements Expert-level proficiency in Python and JavaScript/TypeScript/React. 3+ years’ professional software engineering experience. Strong CS fundamentals (data structures, algorithms, performance). Comfortable building for live, data-heavy, real-time environments. Sharp communicator who’s happy to sit with risk takers, challenge ideas, and ship what they actually need. Upper 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 ❯