351 to 375 of 4,631 Algorithms Jobs

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 ❯

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 ❯

of: Windows, macOS, Linux, iOS, or Android. Commitment to code correctness and quality assurance through static analysis, code review, automated testing, and continuous integration. Desirable Cryptography: Understanding of encryption algorithms and protocols for securing audio streams. USB Communication: Proficient in interfacing with a computer via USB. Knowledge of USB protocols and device drivers. Wireless Protocols: Understanding of Ultra-Wideband and More ❯

the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. By the end of More ❯

Experience building Generative AI frameworks, leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯

in fraud, 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 ❯

/Experience Experience with TypeScript Experience with AWS CDK Demonstrated technical leadership experience, including successful delivery of large-scale AI projects. Experience designing and implementing novel AI architectures or algorithms in real-world products. Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.). Contributions to open-source AI projects or More ❯

QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers.Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and More ❯

people and technical strategy. Extensive experience in developing and integrating advanced generative AI and ML solutions into existing products and systems. Proficiency in Python and strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch. Expertise in containerization (, Docker, Kubernetes, AWS EKS) and More ❯

datasets and extract actionable insights. Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Skilled in building credible statistical models. Knowledge of various learning algorithms (supervised, unsupervised, reinforcement). Experience with MLOps practices. Demonstrable experience building visualisations and dashboards in Tableau. An understanding of data management principles in cloud-based technologies. Appreciation of full analytics More ❯

in fraud, 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 ❯

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 ❯

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 ❯

software development good practices and collaboration tools, including git-based version control, python package management, and code reviews. Excellent communication skills, with the ability to explain complex machine learning algorithms and statistical methods to non-technical stakeholders. Experience working with cloud environments and tools, such as Amazon AWS S3, EC2, etc Evidence of related work experience as a researcher in More ❯

Applied Science team at Sojern develops services and pipelines to optimize advertising campaign performance and applies machine learning at scale for thousands of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a traveler More ❯

Who We Are: We're powering a cleaner, brighter future. Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities More ❯

Senior Data Scientist - Creative Optimization Join to apply for the Senior Data Scientist - Creative Optimization role at WPP Media Continue with Google Continue with Google Senior Data Scientist - Creative Optimization 4 weeks ago Be among the first 25 applicants Join More ❯

Social network you want to login/join with: col-narrow-left Client: Trinity Resource Solutions Location: guildford, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 16.06.2025 Expiry Date: 31.07.2025 col More ❯

We are seeking a highly experienced and motivated Senior Systems Engineer to take on a key leadership role as Systems Design Authority for a major defence project. This is a rare opportunity to lead the delivery of a complex, multidisciplinary More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Description About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures More ❯

Senior Data Scientist, Creative Optimization Who we are: Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled More ❯

Inclusion at Bumble Inc. Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We More ❯

Why SoftwareOne? Here at SoftwareOne, we give you the flexibility to unleash your creativity, without limits. We encourage autonomy and thinking outside the box - and we can’t wait to hear your new ideas. Although all businesses say it, we More ❯