1 to 25 of 202 Algorithms Jobs in the UK excluding London

Present architectural designs and technical proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews, security hardening and continuous integration More ❯

Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver More ❯

structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. Writing and optimising complex 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 ❯

Required Qualifications · Associate degree in Computer Science, Engineering, or related field. · 7+ years in software/infrastructure engineering with observability/logging focus. · Strong foundation in operating systems, networking, algorithms, and distributed systems. · Expertise in: o Programming (eg. Python, .Net, Java, Go, ) o System architecture and AI Ops o CI/CD (eg. GitHub Actions, Azure DevOps) o Infrastructure as 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 ❯

solve complex challenges, and deliver impactful solutions that build tomorrows worldtoday. Job Description Join our team to help deliver fast-paced, high-impact Defence software solutions that translate complex algorithms into operational capabilities. Youll work closely with algorithm engineers to integrate mathematical and software models into production-ready, reliable, and maintainable systems. This is a unique opportunity to apply your More ❯

with the team. Requirements Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning. Solid understanding of machine learning algorithms, data structures, and statistical modelling. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Strong programming skills in languages such as Python, Java, or Scala. Strong More ❯

offices or a client location) for collaboration sessions, customer meetings, and internal workshops. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience 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 ❯

and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes More ❯

quantitative expertise to train, evaluate, and refine cutting-edge AI models for real-world, high-speed market applications. Responsibilities Collaborate with AI researchers to design, train, and validate trading algorithms and quantitative models, including high-frequency trading strategies. Apply advanced mathematical, statistical, and computational methods to improve model stability, execution accuracy, latency performance, and market adaptability. Evaluate and refine algorithmic More ❯

state-of-the-art predictive models (e.g. Two-Tower, Recurrent Neural Networks, XGBRanker) that drive the internal Ad ranking and assignment algorithms. Optimise Feedback Loops: Increase responsiveness of ad algorithms to real-world events and outcomes in the pursuit of real-time decisioning. Lead Technical Strategy: Proactively lead the design, development, and deployment of data science solutions. Production Excellence: Write More ❯

preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ability to collaborate effectively with cross-functional teams and manage project timelines. Exceptional problem More ❯

practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g., Snowflake, Databricks), cloud-based technologies, data mesh architectures, and big data ecosystems. Experience with More ❯

field which MUST incorporate a placement year (i.e. sandwich course). Demonstrable experience with programming languages such as Python, Java, Scala, or R. Understanding of data flows, data structures, algorithms, data engineering principles, and business intelligence (BI) systems. Ability to work independently and as part of a team. Strong problem-solving and communication skills Interest in weather and climate science. More ❯

training providers are fully covered Join us as an Algorithm Engineering Apprentice where you'll have the opportunity to enhance your skills in designing the signal processing and AI algorithms that power the world's leading sonar systems. You will collaborate with a diverse team of experts to create complex systems for our customers. This role promises an exciting journey More ❯

Security (e.g., AWS, Azure, Google Cloud) and securing cloud-based applications and infrastructure. Knowledge of cryptography and its application in securing communications and data storage (e.g., AES, RSA, hashing algorithms). Familiarity with Zero Trust architecture and identity and access management (IAM) principles. Foundation in programming languages such as Python, C/C++, Java, or Assembly for vulnerability research, code More ❯

using data sourced from various internal and external platforms. This role focuses on increasing supply chain efficiency, boosting productivity, and delivering measurable value to customers by implementing innovative models, algorithms, and data-driven solutions aligned with business goals. Major/Key Accountabilities Design, develop, and deploy machine learning models, algorithms, and advanced analytics solutions to improve supply chain efficiency, productivity … adoption. Skilled in balancing urgent delivery demands with long-term strategic planning, including supporting business case development and resource prioritization. Skills & Knowledge : Demonstrable experience with machine learning techniques and algorithms, with a strong track record of deploying models that serve real users at scale without incurring technical debt. Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. … years of work experience MS & 4+ years of work experience Proficient with machine learning and statistics Proficient with Python, deep learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role More ❯

Python, 3D graphics (WebGL/OpenGL) experience all nice to have but not essential Expect to work across a diverse technical landscape. You might contribute to platform architecture, data algorithms, advanced visualisations, cloud or UI. There’s plenty of room to stretch your skills - and plenty of fascinating challenges. Apply today for this hybrid role in Bristol and help us More ❯

/span><\/div> Experience developing high -performance software in modern C++ (C++14/17/20). <\/span><\/span><\/li> Deep understanding of data structures, algorithms, and multithreading/concurrency. <\/span><\/span><\/li> Strong grasp of low -latency system design, network programming, and memory management. <\/span><\/span><\/li> Proven track More ❯

engineers, data managers and business partners. You will be part of a team whose responsibilities include: Building scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocating for data science and best practices (e.g. technical design More ❯

in Python and modern software engineering practices Be comfortable with low-level programming when needed (e.g. C++, Rust, C) Strong software engineering background, including: Design patterns Data structures and algorithms API design (REST) Working with databases (SQL and NoSQL) Writing documentation and integration tests Understanding of functional programming concepts (e.g. monoids, composition, higher-order functions) Familiarity with quantum computing concepts More ❯

environment Strong software engineering background covering SOLID principles with extensive experience in Python Knowledge of machine learning, deep learning, natural language processing, computer vision and other AI techniques and algorithms Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Experience developing REST-based APIs Knowledge and some experience with DevOps and More ❯

safety mechanism. Comprising a team of over 600 highly skilled professionals, we are deeply committed to delivering solutions that truly make a difference. This isn't just about code, algorithms, and data. It's about playing a pivotal role in protecting the UK. Our work is of the highest sensitivity and utmost importance, and you will be part of it. More ❯