26 to 50 of 1,207 Algorithms Jobs in the UK

grow a diverse knowledge base in engineering Your skills and experiences: Essential: A good understanding in some of the following subject areas; signal processing, target track extraction, object classification algorithms, system and sensor resource optimisation A good understanding of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of More ❯

grow a diverse knowledge base in engineering Your skills and experiences: Essential: A good understanding in some of the following subject areas; signal processing, target track extraction, object classification algorithms, system and sensor resource optimisation A good understanding of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of More ❯

grow a diverse knowledge base in engineering Your skills and experiences: Essential: A good understanding in some of the following subject areas; signal processing, target track extraction, object classification algorithms, system and sensor resource optimisation A good understanding of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of More ❯

and grow a diverse knowledge base in engineering Your skills and experiences: A good understanding in some of the following subject areas; signal processing, target track extraction, object classification algorithms, system and sensor resource optimisation A good understanding of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of More ❯

edge AI and model-driven engineering. Job responsibilities Serves as a subject matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands More ❯

Science, Mathematics, Statistics, or a related quantitative field. PhD is a plus Proven proficiency with SQL and Python for data extraction, analysis, and modelling Strong understanding of machine learning algorithms, predictive modelling, and data mining Excellent communication skills, with the ability to explain complex concepts to a non-technical audience Highly analytical and detail-oriented with a passion for digging More ❯

concepts across company stakeholders Extra kudos if you have: Prior experience in verification and validation of on-road Motion Planning systems Understanding of decision making, trajectory generation and control algorithms Exposure to automotive testing and simulation frameworks (e.g. Applied Intuition, Carla, etc.) Extensive experience with a variety of CI/CD tools and technologies (e.g., Git, Gitlab, Jenkins, GCP, AWS More ❯

trends and industry best practices to drive innovation and deliver cutting-edge solutions. Connect to your skills and professional experience Technical Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to communicate insights and solution More ❯

into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage More ❯

into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage More ❯

to our company conference and events. What you'll be delivering Collaborate with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model More ❯

to our company conference and events. What you'll be delivering Collaborate with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model 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 ❯

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 ❯

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 ❯

data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability 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 ❯

Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years More ❯

APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management We give back to the technology community and you can read more about our outreach More ❯

data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered More ❯

research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. - Collaborate with software 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 ❯

Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. More ❯