1 to 25 of 131 Algorithms Jobs in Central London

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

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 ❯

ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results 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 ❯

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 ❯

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 ❯

degree in Artificial Intelligence, Computer Science, Mathematics, or a related field 🐍 Proficiency in Python and experience with frameworks such as PyTorch , NumPy , or Scikit-learn 🧩 Understanding of machine learning algorithms, optimisation, and model evaluation 📈 Strong mathematical reasoning and analytical problem-solving skills 🗣 Excellent communication skills and a genuine passion for learning and innovation Nice to Have: 💾 Experience with JAX , Hydra 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

skills, and proven expertise in modern machine learning techniques, including Computer Vision, Natural Language Processing, and Deep Learning. ---------------------------------------- Key Responsibilities Design, build, and deploy advanced machine learning models and algorithms into production. Lead technical development within cross-functional teams, providing guidance on ML solution design and implementation. Translate business problems into clearly defined data science solutions and deliver end-to More ❯

or AI-driven products often thrive here due to the performance, scalability, and reliability challenges involved. We’re looking for someone who: Has strong computer science fundamentals (data structures, algorithms, and system design), you will be tested . Is motivated to work hard at a fast-growing AI start-up. Excels at solving complex problems with minimal guidance. Brings a More ❯

systems communicate more effectively. Role You'll join a talented team of like minded engineers working on their core products and customer facing dashboards to deliver ground-breaking audio algorithms to their clients. ->Design, develop, and maintain scalable back-end services using Node.js and related frameworks. ->Build and consume APIs, integrate with databases, and manage server-side logic. ->Work alongside More ❯

ML models for prediction, classification, clustering, and optimization Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning Implement NLP, time-series forecasting, and optimization algorithms as needed Collaborate with MLOps teams to deploy production-grade pipelines Communicate insights through dashboards and visualizations using Power BI, Tableau, or Python Engage with stakeholders to define use cases More ❯

knowledge of databases (SQL or Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with excellent communication and stakeholder management skills You are degree educated in Computer Science or similar technical discipline What's in it for you: As a Senior 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 ❯

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 ❯

to embedding AI insights and building a unified ecosystem. You will promote best practices in AI development, governance, ethics, and integration, shaping our innovation roadmap. Additionally, you will optimize algorithms with tools like Python, TensorFlow, PyTorch, scikit-learn, and cloud services (e.g., AWS SageMaker), including data analysis, model training, and validation. You will address issues in model accuracy, bias, and More ❯

to embedding AI insights and building a unified ecosystem. You will promote best practices in AI development, governance, ethics, and integration, shaping our innovation roadmap. Additionally, you will optimize algorithms with tools like Python, TensorFlow, PyTorch, scikit-learn, and cloud services (e.g., AWS SageMaker), including data analysis, model training, and validation. You will address issues in model accuracy, bias, and More ❯

to embedding AI insights and building a unified ecosystem. You will promote best practices in AI development, governance, ethics, and integration, shaping our innovation roadmap. Additionally, you will optimize algorithms with tools like Python, TensorFlow, PyTorch, scikit-learn, and cloud services (e.g., AWS SageMaker), including data analysis, model training, and validation. You will address issues in model accuracy, bias, and 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 ❯

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 ❯