51 to 75 of 1,140 Algorithms Jobs in the UK

insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯

gives you access to global opportunities without navigating the typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy … similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication More ❯

growth strategy, this company offers a dynamic environment with varied and challenging projects. Depending on your skills and interests, you could be working on areas such as developing complex algorithms for physical process modelling, applying parallel computing to large-scale simulations, creating intuitive user interfaces (UIs), and producing high-quality 2D and 3D graphics. You will collaborate closely with engineers … to deployment. This is a fantastic opportunity for someone who wants to enhance their technical skills in an environment that encourages growth and innovation. Key Responsibilities: Develop and optimize algorithms for simulating physical processes and industrial systems. Work with parallel processing technologies to accelerate large-scale computations. Design and implement intuitive graphical user interfaces (GUIs) for complex modelling software. Contribute More ❯

model development to the deployment and monitoring of machine learning systems. You'll immediately provide value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build … Improvement: Implement tools for real-time model monitoring, evaluate performance, and drive continuous improvements to models and pipelines. Experimentation & Innovation: Explore emerging ML techniques, deep learning methods, and advanced algorithms to enhance model capabilities and introduce new solutions. Continuous Learning: Stay current with industry trends and emerging technologies in data science and machine learning to identify new opportunities and techniques. More ❯

data engineering team. Uncover novel biological insights into disease, spanning complex and rare diseases, and develop methods to validate new drug targets. Evaluate the scientific and technical integrity of algorithms and tools within the analysis pipeline. Work closely with discovery and development teams to integrate genomic and histology imaging analysis. Communicate findings effectively to both technical and non-technical audiences. … Key Qualifications: PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioinformatics, or a related quantitative field. Strong programming skills with a solid understanding of algorithms and data structures. Proficiency in Python with hands-on experience using open-source ML frameworks such as scikit-learn, PyTorch, TensorFlow, or Keras. Extensive experience with Machine Learning and Deep Learning models (e.g., tree More ❯

Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking More ❯

all audiences. Mentor junior team members and support capability growth. Work with engineers to productionise solutions. What we’re looking for: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding More ❯

all audiences. Mentor junior team members and support capability growth. Work with engineers to productionise solutions. What we’re looking for: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding More ❯

Java, Python, JavaScript or React Hands on experience of building RESTful APIs using popular frameworks like Spring Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Preferred Qualifications Experience of working in investment bank or financial services industry Experience of using cloud services More ❯

years of experience in Full Stack development of cloud software solutions 6+ years of experience with C++ and/or Java Knowledge of data structures, databases, networks, and algorithms Advanced knowledge of application, data, and architecture disciplines Experience with AWS cloud platform services Experience working as part of an Agile team using Scrum or Kanban methodologies Experience and familiarity with More ❯

ll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You'll More ❯

agile development methodologies. Experience with embedded Linux user-space SW stack and Yocto/Buildroot. Advantages Knowledge of digital communication principles and satellite communication protocols. Experience with signal processing algorithms and RF frontend development. Familiarity with 5G waveform, DVB-S2X, CCSDS modems, DPDK, and VPP L2/L3 processing. Knowledge of ARM processor architectures. Experience with scripting languages (Bash, Python More ❯

code reviews. Testing Excellence: Use automated tools for high-quality software delivery. Technology Awareness: Stay informed about emerging technologies. Skills & Experience 5+ years' experience C development Strong understanding of algorithms, design patterns, and data structures, asynchrony, parallelism. Experience developing on Linux and Windows Experience in all phases of the software development process as a member of a distributed Scrum team More ❯

engineers, providing technical guidance, coaching, and fostering their growth Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements More ❯

portfolio of completed projects. Strong attention to detail, proficient in analytical thinking and problem-solving. Able to communicate with all levels of stakeholders. Solid understanding of software development methodologies, algorithms, data structures, and design patterns. Experience with web or mobile application development and related frameworks. Proficient in one or more programming languages - Java, C++, UniVerse, Python, or JavaScript. It is More ❯

and internally. Build and test prototype analysis using SQL, Python & Dash (or equivalent) for internal management tools and for new analysis feature in the core software product. Utilise learning algorithms to continually evaluate, improve and automate internal data delivery systems. Providing feedback to all teams on all aspects of the product line to aid continuous improvement Development, deployment and maintenance More ❯

for customers. We are seeking a highly motivated individual to contribute to our digital future. You will work within the Sales, Inventory & Operations Planning Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work More ❯

for customers. We are seeking a highly motivated individual to contribute to our digital future. You will work within the Sales, Inventory & Operations Planning Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work More ❯

Your future duties and responsibilities CGI's Secure Space Systems business is looking for a highly motivated Algorithmic Software Developer to lead the development and enhancement of advanced software algorithms for surveillance and tracking of activity in space. You will play a key role in implementing both speculative and mature software solutions within small projects and larger program streams. Read More ❯

Data Science, or related field 3-5 years of experience in data science roles Creative problem-solving and solution scoping Strong grasp of mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version control management Ability to More ❯

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative 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 ❯

art models for computer vision problems including object detection, key-point estimation, segmentation; using Python, PyTorch, Ignite, OpenCV, AWS Research, prototype, and implement state-of-the-art machine learning algorithms Design and implement custom loss functions, evaluation metrics, and training procedures Contribute to model selection, architecture design, and technology stack Evaluate model performance Drive innovation initiatives and proof-of-concept More ❯

art models for computer vision problems including object detection, key-point estimation, segmentation; using Python, PyTorch, Ignite, OpenCV, AWS Research, prototype, and implement state-of-the-art machine learning algorithms Design and implement custom loss functions, evaluation metrics, and training procedures Contribute to model selection, architecture design, and technology stack Evaluate model performance Drive innovation initiatives and proof-of-concept More ❯

including Spring Boot Proficient in writing maintainable code in multiple languages such as HTML, Java, and JavaScript/TypeScript, with a solid understanding of data structures, design patterns, and algorithms Experience with public cloud technologies, as well as a passion for automation and familiarity with CI/CD tools like GitLab Strong practitioner of DevOps practices, utilizing relevant tooling to More ❯