1 to 25 of 132 Algorithms Jobs in the Thames Valley

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 ❯

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 ❯

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 ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). 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. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns More ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). 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. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns 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 ❯

Network (NTN) solutions which are transforming the way we connect and communicate. Job Responsibilities Participate in design and develop 5G/6G TN/NTN and AI signal processing algorithms for communications systems, physical layer software and protocol stack software. Participate in 5G radio equipment and user terminals physical layer solution verification, end-to-end testing, network deployment and field 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 ❯

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 ❯

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 ❯

to use C# going forward) You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's in it for you: As 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 ❯

software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence Please note you must be a UK citizen or hold the right to More ❯

or equivalent practical experience 7+ years of systems programming experience working with at least one of these languages (C++, Rust, Go, Solidity) Deep understanding of distributed systems, data structures, algorithms, and software design Experience building performant, large-scale, low-latency applications Experience in compiler implementation, runtimes, optimization, or static analysis Familiarity with modern software development practices, including version control (Git More ❯

Highly competitive compensation packages. Skills/experience: · A highly reputed Degree from an elite University in a STEM subject (Computer Science and Mathematics preferable) · Exceptional intelligence levels - Data Structures, Algorithms, Statistics etc. · Excellent knowledge of a Modern Programming Language such as Python, C++ etc. · An outside interest in tech (meet-ups, personal projects, hackathons etc.) Role : · Working as part of More ❯

with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language More ❯

language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- Contribute to ongoing research in machine learning and artificial intelligence Help develop and implement algorithms Collaborate with researchers and engineers to explore and evaluate new ideas Assist in preparing publications and technical reports Stay up to date with the latest advancements in AI and related More ❯

other robotic middleware. Integration and selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition, onboard processing, and underwater communication 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 ❯

ll sit within the underwriting data science team, helping to develop and deploy high-impact climate and natural catastrophe models. Key Responsibilities Design and enhance statistical models and ML algorithms to better forecast weather and natural hazard risks (wildfires, hail, tsunamis, etc.) Build performant, scalable tools to price and monitor risk in real-world environments Translate client needs into technical 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 ❯

Good understanding of embedded systems , device communication protocols , or real-time control software . Familiarity with Linux , Git , and modern software development workflows. A solid grasp of data structures, algorithms, and concurrency. A genuine curiosity for how software, hardware, and science come together to achieve something new. Interest or experience in Rust , or modern systems programming techniques, is a plus. More ❯