51 to 75 of 1,020 Algorithms Jobs in England

Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: 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 ❯

Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: 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 ❯

life and shape the future of AI. Key Responsibilities: 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 End-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI More ❯

preferably using an object-oriented language. Proficiency in one or more of the following languages: Python, C++ or equivalent Solid understanding of computer science fundamentals, including data structures and algorithms Strong communication skills and ability to collaborate effectively across different stakeholders A growth mindset, with eagerness to learn, adapt, and contribute in a dynamic, fast-paced environment. We'd love More ❯

than one of: C#, Java, Python, and C++ Databases such as: MSSQL, Postgres, Redis Kafka/RabbitMQ or similar event-based platforms Data structures and design/analysis of algorithms Not required, but a bonus Fixed Income products and Interest Rate derivatives (including Risk, PnL attribution, scenario analysis, etc.) IR derivatives models (Yield Curves, Option Pricing, SABR, etc.) Statistics, discrete More ❯

proven ML product already in the market, a strong team and seniors to assist you in taking the next steps in your career. Responsibilities: Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks. Conduct and validate model performance through comprehensive evaluation metrics. Analyze large datasets to extract actionable insights and trends. Implement 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 ❯

degree in computer science, mathematics, physics, engineering, or related STEM field. Strong problem-solving skills with a solid foundation in classical ML and deep learning, from statistics and traditional algorithms to transformers and state-of-the-art models. Excellent collaboration and communication skills, both within teams and with clients. Interest in building AI applications such as forecasting tools, image recognition More ❯

and management A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms We give back to the technology community and you can read more about our outreach at: Bloomberg is an equal opportunity employer and we value diversity at our company. We More ❯

We're excited if you have 10+ years of experience building large scale and low latency distributed systems Command of Java, C++ or Go/Golang Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with More ❯

context, and risk. About the Role As a Senior Data Scientist, you'll help define the future of behaviour-based insurance. You'll own the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and bring the most impactful insights into production. You'll work at the intersection of data science and engineering, generating scalable More ❯

Depth of expertise in developing and deploying to production machine learning models for revenue optimization or related fields in high volume, low latency environments. Comprehensive knowledge of machine learning algorithms, particularly those used in revenue optimization, coupled with the agility to rapidly grasp and apply emerging techniques. Deep statistical knowledge and experience with multivariate testing at scale. Proven track record More ❯

to both technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via More ❯

analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build More ❯

on AI and automation• Proven experience building and launching AI-powered products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges• Experience building products and automations More ❯

on AI and automation• Proven experience building and launching AI-powered products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges• Experience building products and automations More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make More ❯

a good understanding of analytics and Risk for one or more financial products You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have experience within a similar financial trading systems environment You are collaborative with excellent communication skills You are degree educated in Computer Science or similar STEM discipline, having achieved More ❯

environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications Manage multiple research projects, ensuring alignment with company objectives Design AI system architecture, balancing research More ❯

environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications Manage multiple research projects, ensuring alignment with company objectives Design AI system architecture, balancing research More ❯

of strong collaboration, share best practice, propose improvement Point of contact with stakeholders and the NY team 8+ years of professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM field Self-directed, self-motivated More ❯

behaviour, purchasing trends, and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. Cross-functional collaboration: Work closely with marketing, merchandising, and product teams to align data science initiatives with business goals. Data More ❯

bring cutting edge research to industry through our cloud platform. Utilising a microservice architecture we continue to integrate and deploy mathematical optimisation modules, machine learning solutions and geometric manipulation algorithms through our flexible software pipeline. Working closely with our clients, some of the biggest players in their industries, we revolutionise the user experience and automation in engineering software. At the More ❯