376 to 400 of 3,426 Permanent Data Science Jobs

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

junction of research, engineering and product delivery. You will be responsible for designing, implementing and maintaining our multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both … technical and executive stakeholders. Key Responsibilities Design, implement and evolve a multi-omics AI platform, incorporating full-lifecycle MLOps Identify, ingest, link and curate data across large-scale multi-omics and imaging datasets, including data quality, validation, traceability and storage optimisation Standardise and automate the model lifecycle ...

supporting the enterprise-wide AI coding tools. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/… deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter ...

supporting the enterprise-wide AI coding tools. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/… deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter ...

ownership than they are likely to get inside a large technology company, bank or established AI business. You will work directly with experienced engineers, data scientists and our founder, taking problems from experimentation through to production. Your models will not sit in notebooks. They will become part of live … language processing and information extraction Agentic and automated research workflows Retrieval, embeddings and semantic search Narrative detection and clustering Multilingual text intelligence Large-scale data and model pipelines Model evaluation, observability and monitoring Production ML infrastructure on AWS The problems are often open-ended. You might be evaluating ...

across teams.Manage relationships with internal and external engineering resources, including contracted and offshore teams, ensuring delivery quality and alignment with technical standards.Collaborate with platform, data, and architecture teams to ensure AI solutions are built on sound foundations and integrate appropriately with the broader enterprise technology landscape.What you will bring...Demonstrable … verbal communication skills, with the ability to present technical concepts clearly to non-technical partners and senior leadership.Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Mathematics, or a related technical subject area.Desirable CriteriaExperience operating in the energy sector or another complex industrial ...

Manage relationships with internal and external engineering resources, including contracted and offshore teams, ensuring delivery quality and alignment with technical standards. Collaborate with platform, data, and architecture teams to ensure AI solutions are built on sound foundations and integrate appropriately with the broader enterprise technology landscape. What you will … communication skills, with the ability to present technical concepts clearly to non-technical partners and senior leadership. Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Mathematics, or a related technical subject area. Desirable Criteria Experience operating in the energy sector or another complex ...

retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what … closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.Certified as a Great Place to Work around the world, Baringa has been ...

architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data … operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality ...

host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product … responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both ...

architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions. Collaborating with the Data Platform to team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data … operating a company wide agentic AI solution platform to help scale up AI capabilities across all functions and regions. Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality ...

10th, 2026 Please Join Us in Putney as IT BUSINESS SOLUTIONS MANAGER The role is aimed to support JTI markets in Western Europe with data-driven decision-making strategy, primarily focused on Strategic Insights and Commercial Planning. As IT Business Solutions Manager for Data &Analytics this role involves … design, implementation, and evolution of data-related solutions. The focus is on improving the value of data through a combination of business acumen, strong analytical skills, and problem-solving expertise. The role requires: Data mindset and business acumen Strong analytical background Advanced project management and problem-solving ...

embedded with the business, working alongside key users and domain leads to take working prototypes through to production: integrating them with the Enterprise Data Platform and core Trafigura systems; deploying agentic AI workflows; and taking radical ownership of live production. The focus is practical delivery in the field. … against a continuous backlog of business requests using ticket- and feedback-driven workflows.**Solution Design & Implementation*** Architect and build production-grade custom integrations, APIs, data pipelines and workflow automations between engagement-layer applications and core Trafigura systems.* Transform proof-of-concept prototypes into secure, scalable and compliant production systems ...

shaping them into funded workstreamsRepresents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution designContributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers … experience with CI/CD, containerisation, and cloud-native deployment patternsDemonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systemsStrong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non-technical audiencesExperience applying new methods to determine solutions ...

retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what … closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.Certified as a Great Place to Work around the world, Baringa has been ...

candidate will combine deep cybersecurity expertise with hands-on knowledge of AI/ML technologies, ensuring that AI systems are resilient against adversarial threats, data leakage, and misuse.What you'll be doing:1. AI Security Strategy & ArchitectureDefine and lead the AI security architecture roadmap aligned to enterprise security strategy.Develop … secure-by-design frameworks for AI/ML pipelines, including data ingestion, training, inference, and deployment.Establish AI trust, risk, and compliance controls (e.g., explainability, fairness, robustness).2. Threat Modelling & Risk ManagementConduct threat modelling for AI systems, identifying vulnerabilities such as:Adversarial attacks (evasion, poisoning)Model inversion and extractionData leakage ...

take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable … high-quality production code and maintains algorithms that run synchronously with appropriate systems.Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams.Collaborates with engineering and data teams to optimize infrastructure and deployment processes ...

backend services that power the Syrup platform and Anaplan’s forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build … while growing your craft alongside experienced engineers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners. Your Impact Build and maintain backend services, APIs, and data processing components across the Predictive Intelligence stack. Contribute ...

candidate will combine deep cybersecurity expertise with hands-on knowledge of AI/ML technologies, ensuring that AI systems are resilient against adversarial threats, data leakage, and misuse. What you'll be doing: 1. AI Security Strategy & Architecture Define and lead the AI security architecture roadmap aligned to enterprise … security strategy.Develop secure-by-design frameworks for AI/ML pipelines, including data ingestion, training, inference, and deployment.Establish AI trust, risk, and compliance controls (e.g., explainability, fairness, robustness). 2. Threat Modelling & Risk Management Conduct threat modelling for AI systems, identifying vulnerabilities such as:Adversarial attacks (evasion, poisoning)Model ...

take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable … high-quality production code and maintains algorithms that run synchronously with appropriate systems. Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams. Collaborates with engineering and data teams to optimize infrastructure ...