151 to 175 of 425 Remote/Hybrid Machine Learning Jobs

Experience Core Experience 15+ years of experience in technology consulting, digital transformation, or advanced analytics 5+ years of hands‐on experience in AI/ML, with strong recent focus on Generative AI and Agentic AI Proven experience leading complex enterprise deals and large‐scale solutioning efforts Technical Expertise Strong hands ...

Engineer role within the AWS public cloud is both dynamic and forward-looking. Alongside developing strong technical skills across AWS core services, AI/ML platforms, and cloud-native tooling, engineers learn to diagnose complex issues, analyse model and pipeline behaviour, report incidents, and clearly communicate solutions that enable data … support scalable AWS-based AI architectures that deliver seamless support for users, developers, and stakeholders. Develop a strong foundational understanding of AWS, AI/ML services, and cloud operations, supporting progression into advanced cloud, data, or machine learning engineering pathways. Create specialist AI support engineers with subject matter ...

Vector, Tabular data Configuring CI/CD pipelines Managing data storage within an AWS environment Improving data automation, workflow and efficiency Developing Python based ML pipelines K ey skills for this role include: Good knowledge of Python programming Experience in cloud computing (ideally AWS) Strong experience across industries in both … Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities employer: we are proud to work with clients ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

simulation environments to accelerate development and reduce deployment risk. Work with scientists to translate lab methods into automation-friendly procedures; work with Data/ML to stream rich telemetry and results downstream. Requirements Advanced degree (PhD) or MSc with equivalent industry experience. Proven experience automating laboratory workflows with liquid handlers … afterthought. Desirable Experience with fabrication and prototyping, including 3D printing custom parts to adapt or extend lab equipment. Familiarity with data engineering or ML pipelines, particularly for streaming structured experimental telemetry. Experience in pharmaceutical, biotech, or regulated lab environments. Benefits Competitive base salary alongside a meaningful equity package, giving ...

components, marketing visuals). • Validate whether outputs meet user expectations, brand standards, accessibility guidelines, and ethical guidelines. Cross-Functional Collaboration • Work closely with machine learning engineers, research scientists, and product teams to provide design-driven feedback loops. • Translate design concepts into structured feedback that model teams … communication skills and comfort in documentation-heavy workflows. Bonus Skills • Experience with Figma, Adobe Creative Cloud, or 3D tools. • Prior data labelling, annotation, or ML operations experience . • Basic familiarity with scripting (Python), prompt engineering, or dataset tooling. • Knowledge of design accessibility (WCAG), usability heuristics, or user research methods. Please ...

central to how the organisation makes decisions. The team is responsible for building and maintaining both batch and streaming pipelines that support analytics, machine learning and key business reporting. It's a fully hands-on role in a modern, cloud-first environment, working on scalable , production-grade data ...

administration and security across cloud-based IaaS, PaaS, and SaaS environments on Windows platforms Desirable Experience with Power BI Exposure to AI and machine learning workloads Data warehousing and analysis services experience (Azure-based preferred) Experience with Azure DevOps pipelines Relevant Microsoft certifications, such as Azure Database ...

that connect business challenges with technical solutions.Strong project and programme management experience including managing timelines, budgets, and delivery scope.Strong understanding of AI technologies including machine learning, data science, and generative AI.Proven leadership capability managing diverse technical and non-technical teams.Experience working within agile delivery environments and familiarity with ...

Requirements: Strong experience with Python Experience with Kubernetes and Docker Understanding of CI/CD pipelines (eg GitLab) Exposure to data platforms, MLOps or machine learning environments Desirable: Spark or Scala AWS services (eg S3) Elasticsearch or graph databases Vector databases/modern data tooling OIDC/OAuth ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

engineering stack and cloud-native architecture Collaborative team environment Opportunity to influence platform architecture and data pipelines How to Apply If youre an Applied ML Contractor looking a new exciting opportunity working focused on real operational decision systems, get in touch. Please apply if interested and well aim to respond ...

Tableau or similar) Ability to deliver technical solutions that generate measurable results Strong communication skills with non-technical audiences Desirable: Experience with AI/ML tools or cloud platforms Team leadership, coaching or mentoring experience Why this role? If you're looking to move from purely technical work into ...

testing across AI services. * Contribute to engineering design patterns, security practices, and technical documentation. Your Skills and Experience * Strong commercial experience in Data Engineering, ML Engineering, or Software Engineering with a focus on AI systems. * Deep hands-on expertise with GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud ...

improvements to existing client-facing products. Contribute to a major project building a new data pipeline and improving the platform's ability to support ML and AI workflows. Collaborate closely with Data Science and Engineering teams to bring complex data to life in intuitive interfaces. Take ownership across the stack ...

AI. Support the development of agentic automation across core claims workflows and internal tools. Your Skills and Experience Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems. Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model ...

AI. Support the development of agentic automation across core claims workflows and internal tools. Your Skills and Experience Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems. Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model ...

architectures (AWS preferred). Familiarity with React for front-end development. Understanding of modern CI/CD, containerisation, and observability. Exposure to AI/ML tooling, vector databases, embeddings, RAG workflows, or LLM integration is a plus. About You ~5+ years in software engineering with solid full-stack experience. Comfortable ...

Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such as ML Studio, Foundry, Synapse, Cosmos Deep expertise in deploying and scaling generative AI solutions within Azure, including proficiency with databases, Prompt Flow, virtual machines, and Azure Foundry. ...

Frameworks/Libraries (React/Angular/Vue), CSS, and HTML • Experience with Web Services (REST) or JSON/XML. • Experience with AI/ML Methodologies Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important ...

similar Stakeholder managemenT Useful but not essential: Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking and access control GDPR and data governance awareness DAY TO DAY No two days will look the same ...