426 to 450 of 795 Remote Data Science Jobs

Responsibilities Noblis is seeking a Cleared Big Data (Multiple Levels) with IC experience and ACTIVE Top Secret with SCI and Polygraph in Bethesda, MD and McLean, VA The Big Data SME will be responsible for and not limited to: Serving as a subject matter expert in Big Data technologies, providing authoritative guidance on platforms, frameworks, and tools … while staying current with emerging trends. Providing technical knowledge and analysis for specialized applications, evaluating complex Big Data environments and assessing technical feasibility of proposed initiatives. Designing architecture for complex Big Data systems, creating comprehensive blueprints for data processing pipelines and establishing technical standards for implementations. Delivering implementation advice on exceptionally complex problems, troubleshooting technical issues and … developing innovative approaches to overcome data processing limitations. Participating in all phases of software development including planning, analysis, testing, integration, documentation, and presentation of Big Data solutions. Applying advanced mathematical principles to solve difficult technical problems, developing algorithms for complex data processing and implementing statistical/ML approaches. Formulating automated solutions for narrowly defined engineering and scientific More ❯

and high-priority threat groups Deliver actionable intelligence reports, briefings, and strategic insights that directly support national security, financial crime enforcement, and crypto policy efforts Collaborate with internal product, data, and research teams to translate real-world investigations into scalable threat detection capabilities and platform innovation. Skills, Knowledge & Expertise You will be a great fit here if you: You … independently across multiple cryptoassets. Strong understanding of how nation-state actors, APT groups, or organized crime networks leverage crypto for illicit finance-including relevant TTPs. Comfortable using raw blockchain data and native explorers to trace assets, including through smart contracts and across bridges. Demonstrated ability to lead complex investigations with minimal oversight-seeing them through from initial exploitation to … DV level clearance Familiarity with DeFi protocols, mixers and de-mixing techniques, cross-chain bridges, and advanced laundering techniques used by high-tier threat actors. Knowledge and experience with Data Science and Data Augmentation Higher Academic Qualification Job Benefits How we work: Hybrid working and the option to work from almost anywhere for up to 90 days More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

Position Description: CGI Federal has an exciting opportunity for a Data Ontology/Taxonomy Expert within our Intel sector advancing the national security mission through cutting edge technology. You must have a passion for keeping pace with rapidly evolving technology advancements and leveraging your knowledge on a highly collaborative team to deliver state-of-the-art capabilities. The Data Ontology/Taxonomy Expert designs, develops, and maintains structured classification systems and conceptual models to organize data and knowledge within an organization. By creating logical frameworks like taxonomies and ontologies, this expert improves data discoverability, usability, and governance across the enterprise. CGI Federal is growing its high-performance team whose members share a passion for building high … radius of the DMV/NCR Your future duties and responsibilities: • Design and development: Create, implement, and maintain enterprise-level taxonomies, ontologies, and controlled vocabularies to support content and data organization across various platforms. • Data modeling: Model complex data and its relationships to enable semantic interoperability and provide a unified view of the organization's information assets. More ❯

Robert Half Technology are assisting a cutting edge AI organisation to recruit a Data Engineer on a contract basis - remote working - UK based A Junior Data Engineer who's excited to help build the data foundations that power cutting-edge AI solutions. You'll join a high-impact team working at the intersection of data, analytics … and machine learning - designing pipelines and infrastructure that make innovation possible at scale. Role Design, build, and maintain scalable data pipelines that fuel AI and analytics initiatives. Partner closely with data scientists, analysts, and engineers to deliver clean, structured, and reliable data. Develop robust data transformations in Python and SQL, ensuring performance and accuracy. Work hands-on … with Snowflake to model, optimise, and manage data flows. Continuously improve data engineering practices - from automation to observability. Bring ideas to the table: help shape how data is collected, processed, and leveraged across the business. Profile The Data Engineer will ideally have 2-5 years of experience in data engineering or a similar role. Strong More ❯

A fast-growing fintech scale-up is looking for a Lead Data Scientist to drive data-led decision-making across credit risk and pricing, lead a small team, and play a key role in shaping their AI strategy. With a 4x increase in lending over the past year and ambitions to double again in the next, this is … an exciting time to join a business scaling rapidly in the embedded lending space. What You’ll Do Lead and mentor a team of two data scientists Support development of credit risk and pricing models Perform ad hoc analysis and advise stakeholders across Credit Risk, Pricing, Product, and Engineering Assess and shape the company’s approach to AI Be … hands-on when needed, though this is not a deeply technical role What We’re Looking For Background in lending or pricing data science, as well as more broad modelling experience Experience from aggregators, pricing optimisation platforms, fintechs, or insurance companies could be useful Prior experience leading or mentoring data scientists Strong communication and stakeholder management skills More ❯

A fast-growing fintech scale-up is looking for a Lead Data Scientist to drive data-led decision-making across credit risk and pricing, lead a small team, and play a key role in shaping their AI strategy. With a 4x increase in lending over the past year and ambitions to double again in the next, this is … an exciting time to join a business scaling rapidly in the embedded lending space. What You’ll Do Lead and mentor a team of two data scientists Support development of credit risk and pricing models Perform ad hoc analysis and advise stakeholders across Credit Risk, Pricing, Product, and Engineering Assess and shape the company’s approach to AI Be … hands-on when needed, though this is not a deeply technical role What We’re Looking For Background in lending or pricing data science, as well as more broad modelling experience Experience from aggregators, pricing optimisation platforms, fintechs, or insurance companies could be useful Prior experience leading or mentoring data scientists Strong communication and stakeholder management skills More ❯

/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. Key responsibilities Define and implement … for generative AI (and in particular language) applications. Perform user research to understand the application's risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices and expected to participate in code reviews. Liaise with other technical staff and data engineers … in the team and across allied teams, to build an end-to-end pipeline consuming other data products Deliver ML- and data-driven insights on GenAI datasets. Basic qualifications: A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data More ❯

Contract Opportunity: Lead Data Scientist (Image-Based Predictive Modelling) Location: London/Hybrid/Remote Day Rate: Up to £600/day (Inside or Outside IR35) Contract Length: Initial 5 weeks (very strong extension potential) Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project) Interview Slots Available This Week - Fast Turnaround About the Company Join a … specialist data and analytics consultancy working with major financial services organisations. You'll be part of a high-performing, agile squad that owns delivery end-to-end. The environment is innovative, outcome-focused, and ideal for individuals who enjoy solving commercially impactful problems with autonomy. The Opportunity This is a hands-on Lead Data Scientist role where you … deploy a model that forecasts click-through rates and explains why certain images drive better performance. What You'll Be Doing Build and refine a predictive model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash, Streamlit, or Flask) for More ❯

junior contributors as the department scales. Report directly to the CEO and provide strategic input on future capability development. Qualifications Required Education & Experience: Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related technical field. Minimum of 6 years of experience in AI/ML development, automation engineering, or applied data science. Strong More ❯

to law enforcement agencies in an investigative or analytical capacity, and working knowledge of preserving law enforcement evidence, chain of custody, and identifying relevant financial data. Experience conducting meta-data analysis exploitation, typically found in analysts who have experience supporting operational units. Be competent in utilizing Specialized Intelligence Analysis tools (i.e., JWICS level geospatial and communications tools and datasets … Be competent in utilizing Intelligence Report Aggregators/Automated Message Handling System search tools (i.e., TAC, RMT, and NGT, Horizon); Be competent in utilizing Intelligence Data Visualization Tools (i.e., Google Earth, and, Analyst Notebook, Target Cop); Be proficient in utilizing existing and new analytical tools to effectively exploit raw financial data, business registry, Block Chain, and corporate company … data; Be skilled at implementing and utilizing best practices, proper tradecraft and determining relevancy of information disseminated against the standards set forth by the USG; Understand relevant DoD intelligence and intelligence oversight policies, procedures, and requirements; Bachelor's degree in a related field from an Accredited University Additional Qualifications: Experience with cryptocurrency analysis is highly desired Security Clearance Requirement More ❯

delivering advanced, AI-powered mission solutions for government customers. As part of a forward-leaning engineering team, you'll help design and implement scalable systems capable of processing massive data volumes with speed, precision, and reliability. This role offers the opportunity to work on cutting-edge technologies that drive real-world results and strengthen critical national missions. This role … infrastructure-as-code solutions with Terraform, Ansible, or CloudFormation for streamlined deployment and configuration Collaborate with cross-functional teams to enhance performance, scalability, and security of distributed systems Support data-driven and AI-enabled applications , integrating with APIs, pipelines, and analytics frameworks Participate in system architecture reviews, technical design sessions, and documentation to ensure long-term maintainability Qualifications for … CI/CD pipelines , Git , and agile development methodologies Experience designing and integrating RESTful APIs in distributed environments Preferred Skills: Exposure to AI/ML integration , model deployment , or data-intensive systems Experience with streaming technologies like Kafka or Kinesis Understanding of security, compliance, and cloud governance in federal environments Bachelor's Degree in Computer Science, Engineering, or More ❯

replacement information at least 15 calendar days prior to replacement Provide information within 24 hours of an unplanned replacement Other duties as assigned Qualifications Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Data Science, Information Systems, or related field from an ABET accredited or CAE designated institution, OR 10+ years of relevant experience in lieu of More ❯

information at least 15 calendar days prior to replacement Provide information within 24 hours of an unplanned replacement Perform other duties as assigned Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Technology, Cybersecurity, Data Science, Information Systems, or related technical field from an ABET accredited or CAE designated institution; Master's degree preferred. Ten More ❯

/CD pipelines using GitHub Actions. You will be part of a team responsible for designing, implementing, and maintaining scalable, secure, and cost-effective cloud infrastructure to support our data and analytics platform. This role requires a strong background in cloud infrastructure automation, platform governance, and enterprise-grade security and compliance in Azure. Key Responsibilities: Design, build, and manage … controls across cloud resources. Monitor and manage cloud costs using Azure Cost Management, ensuring resources are optimized and within budget. Architect and support Databricks workspaces, focusing on Unity Catalog, data access control, workspace deployment, and platform reliability. Collaborate with data engineering and analytics teams to ensure Databricks is performant, secure, and well-integrated with enterprise systems. Create and … automation. Strong scripting skills (e.g., Python, PowerShell, Bash) and comfort working with APIs and automation tools. Excellent problem-solving and communication skills; ability to work cross-functionally with security, data, and DevOps teams. Nice to Have: Experience with multi-cloud or hybrid cloud architectures. Knowledge of Infrastructure as Code testing frameworks (e.g., Terratest, Checkov). Familiarity with Azure DevOps More ❯

IT Governance processes and identify/assign C4IT support personnel for Projects & Portfolio Managers to meet J6 timelines. Other duties as assigned. Qualifications Education: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Data Science, Information Systems, or related field from an ABET accredited or CAE designated institution; Master's degree preferred. Experience: Minimum 16+ years of … with Infrastructure as Code (Terraform, CloudFormation) Strong understanding of microservices architecture and API design Knowledge of CI/CD pipelines and DevSecOps practices Familiarity with database migration strategies and data architecture Experience with Cryptonet Management Workstation (CMW) and crypto status communication protocols Framework Compliance: Meets the Core and Additional Knowledge, Skills, and Abilities Tasks (KSATs) defined in the DoD More ❯

in. About Us We are Ascent and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions … machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries, such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses, and we employ the sharpest minds too At Ascent, we also believe in More ❯

and deliver AI-powered tools that streamline workflows Build and test proof-of-concept applications using Python, JavaScript and Cloud APIs Integrate AI solutions with existing business systems and data platforms Translate business needs into practical, AI-driven solutions that deliver measurable value Develop user guides and documentation for new AI tools Support internal teams through training sessions and … with cross-functional teams to align AI projects with business priorities Share knowledge and mentor colleagues on AI and automation best practices Skills & Experience Degree or background in Computer Science, AI, Software Engineering, or Data Science Strong programming skills (e.g. Python, JavaScript, JSON) Awareness of AI/ML concepts, Large Language Models and prompt engineering Experience with More ❯

SWCTC program, coordinate with multiple stakeholders across the Navy training enterprise, and provide expert-level tactical guidance. This role combines strategic program management with hands-on training development and data analysis to enhance surface warfare competency across the fleet. Requirements Specific Responsibilities Oversee completion and maintenance of SWCTC related instructions and administrative products including level of knowledge databases, program … contributing factors in generating tactical competence and their relationship to individual and team performance in SWCTC Develop watch-station competency pathways through assessment of watch-standers and trainers, establishing data-driven competency baselines for targeted watch-stations Demonstrate methods to assess competency and identify trainee performance gaps with platform extensibility throughout the combat training ecosystem Provide written recommendations for … or updates Oversee proper and timely administration of monthly LOK quizzes aboard all Navy surface ships, acting as conduit between SWCTC/SMWDC and the fleet Coordinate with SWCTC data science team in evaluation and analysis of fleet data, including dashboard improvements for TYCOM, ISICs, and individual units Provide subject matter expertise on tactical and operational warfare More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯