501 to 525 of 3,218 Permanent Data Science Jobs

Be part of a passionate, collaborative team who enable intelligent decision and are constantly making better and better solutions through AI and advanced analytics. They help organisations turn complex data into actionable insight. They're ambitious, they think things through and are on a mission to see how far they can go. The Role: They're looking for a … your career in a innovative environment, we'd love to hear from you. Responsibilities: Design and implement scalable backend services for AI model deployment in secure environments Collaborate with data scientists and defence analysts to productionise ML models (e.g., for threat detection, anomaly detection, autonomous systems, or decision support tools) Build and maintain secure APIs and infrastructure using Python … working in containerised environments (Docker, Kubernetes) Familiarity with CI/CD pipelines, secure deployment practices and cloud deployment (e.g., AWS/GCP/Azure) Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Desirable: Experience with LLMs or transformer-based architectures (e.g., OpenAI, Mistral, or custom-trained models) Familiarity with tools such as Airflow, Spark, or Dask More ❯

scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models. Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model … validation, and comprehensive performance evaluation. Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is preferred. Minimum five years of experience in AI research or engineering, with a demonstrable focus on deep learning and LLMs. Proven track More ❯

scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models. Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model … validation, and comprehensive performance evaluation. Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is preferred. Minimum five years of experience in AI research or engineering, with a demonstrable focus on deep learning and LLMs. Proven track More ❯

Responsibilities: Develop, deploy, and monitor robust ML systems for energy usage prediction and optimisation Work on large-scale time-series datasets to improve model accuracy and stability Collaborate with Data Scientists and DevOps to build end-to-end ML pipelines Contribute to model governance, MLOps, and performance monitoring frameworks Participate in code reviews, design discussions, and performance tuning Requirements … frameworks (TensorFlow, PyTorch), and deployment tools (Docker, MLflow, etc.) Experience building scalable ML pipelines in cloud environments (AWS, GCP or Azure) Familiarity with energy systems, smart metering, or IoT data is a significant bonus Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related discipline Strong problem-solving mindset and ability to work More ❯

Responsibilities: Develop, deploy, and monitor robust ML systems for energy usage prediction and optimisation Work on large-scale time-series datasets to improve model accuracy and stability Collaborate with Data Scientists and DevOps to build end-to-end ML pipelines Contribute to model governance, MLOps, and performance monitoring frameworks Participate in code reviews, design discussions, and performance tuning Requirements … frameworks (TensorFlow, PyTorch), and deployment tools (Docker, MLflow, etc.) Experience building scalable ML pipelines in cloud environments (AWS, GCP or Azure) Familiarity with energy systems, smart metering, or IoT data is a significant bonus Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related discipline Strong problem-solving mindset and ability to work More ❯

of your career and guide a team to success at one of the world's leading financial institutions. As a Lead Software Engineer at JPMorgan Chase within the Client Data Exchange Team, you are hands-on and lead a team and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's work adheres … design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding … methods Proficient in all aspects of the Software Development Life Cycle, agile methodologies such as CI/CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data More ❯

to include, not limited to, server-less development, testing, bug/defect resolution, coding, design, customization and documentation of micro services, creating/developing new cloud service patterns, scripting, data management/enrichment, consolidation of metadata, user-interface development, container (e.g. K8s) integration & design, encrypting data at rest & in transit • Technically integrate/tailor/engineer/design … support NIST cybersecurity framework (Identify, Protect, Detect, Respond, Recover) customer mission goals. • Integrate cloud security solutions with existing on premise operational cybersecurity platforms (e.g. SIEM systems, elastic system, and data lake asset). • Overall desire to automate sundry of cybersecurity-related workflows, develop solution patterns with cloud-managed resources & features, implement automated solution(s) where feasible related to Security … Orchestration-Automation-and-Response (SOAR), and deploy & maintain solutions enabling cyber operations monitoring teams. • Provide data analytics support and data science subject matter expertise for specialized cybersecurity applications and big data analytical systems. • Provide inputs, participate, and assist with architecture design and documentation. • Execute between a blend of Agile, ITIL, and/or general waterfall based More ❯

collaborative and hands-on role suited for someone excited about creating practical, scalable AI applications within a fast-moving technology company. Responsibilities Responsible for identifying, collecting, cleaning, and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machine learning models … and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machine learning, deep learning, and emerging technologies. Write production-supporting software components, such as data transformation scripts and inference modules, to complement model deployment. Contribute to shared libraries and standardised practices for model development and deployment. Assist in building and maintaining model pipelines and … requests, and testing frameworks; experience with Azure DevOps is beneficial. Communicate clearly and effectively, with good presentation and explanation skills. Bring 3+ years of commercial or academic experience in data science and artificial intelligence. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with a BSc required and an MSc considered advantageous. More ❯

Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding … future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to … systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own More ❯

engineers, fostering a culture of technical excellence and continuous improvement. Define and enforce best practices in software architecture, coding standards, security, scalability, and performance. Collaborate closely with product management, data science, and other stakeholders to align technical strategy with business goals. Drive adoption and integration of advanced AI tools, frameworks, and platforms, keeping the team ahead in the … API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. … and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme Paid More ❯

engineers, fostering a culture of technical excellence and continuous improvement. Define and enforce best practices in software architecture, coding standards, security, scalability, and performance. Collaborate closely with product management, data science, and other stakeholders to align technical strategy with business goals. Drive adoption and integration of advanced AI tools, frameworks, and platforms, keeping the team ahead in the … API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability to work effectively across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. … and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme Paid More ❯

experiences and meet functional, cross-functional, and quality standards. Key Responsibilities: • Test Planning & Execution: Design and execute test plans for various product features, including APIs, UI, and where applicable data layer validations. Conduct functional, regression and performance testing to ensure that our AI-driven products perform according to specifications. • Automation & Scripting: Develop and implement automated test scripts to improve … both the backend (APIs) and the user-facing interfaces meet the product's functional and quality standards. • Model Testing & Validation: Ensure the quality of AI models by collaborating with data scientists and engineers. Conduct tests to validate model performance, reliability, and accuracy in real-world applications. • Bug Reporting & Tracking: Identify, document, and track defects and issues discovered during testing. … lifecycle. • Security & Compliance Testing (Optional): Perform security and compliance testing to ensure AI systems meet privacy, security, and regulatory standards. Required Experience and Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field. • 4+ years of experience in quality assurance, with a focus on software applications and/or API/UI testing. • Strong experience with test More ❯

experiences and meet functional, cross-functional, and quality standards. Key Responsibilities: • Test Planning & Execution: Design and execute test plans for various product features, including APIs, UI, and where applicable data layer validations. Conduct functional, regression and performance testing to ensure that our AI-driven products perform according to specifications. • Automation & Scripting: Develop and implement automated test scripts to improve … both the backend (APIs) and the user-facing interfaces meet the product's functional and quality standards. • Model Testing & Validation: Ensure the quality of AI models by collaborating with data scientists and engineers. Conduct tests to validate model performance, reliability, and accuracy in real-world applications. • Bug Reporting & Tracking: Identify, document, and track defects and issues discovered during testing. … lifecycle. • Security & Compliance Testing (Optional): Perform security and compliance testing to ensure AI systems meet privacy, security, and regulatory standards. Required Experience and Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field. • 4+ years of experience in quality assurance, with a focus on software applications and/or API/UI testing. • Strong experience with test More ❯

proactively addressing issues and making strategy adjustments. Perform post-trade analytics, including TCA, to continuously improve trading efficiency and execution outcomes. Manage the full lifecycle of trading systems-from data acquisition and cleaning to deployment and production support. Collaborate with researchers, engineers, and stakeholders across the business to align technical design with trading objectives. Drive engineering excellence through clean … junior team members. WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office … crypto markets; front-end experience with frameworks like React is a plus. Passion for clean, testable code, continuous learning, and mentoring peers on engineering best practices. Degree in Computer Science or related field, with a strong focus on problem-solving and simplicity in design. Other common names for this role: Quant Developer, Algo Developer WHO WE ARE: Do Your More ❯

Pelagic AI, LLC 1765 Greensboro Station Place, Tower 1, Suite 900, McLean VA 22102 USA +1 DevOps Engineer - (Mid level/Senior/Expert) Data Posted: August 2024 Job Title: DevOps Engineer - (Mid level/Senior/Expert) Req Number: 200-xxxx Location(s): Herndon, VA, Chantilly, VA, Melbourne, FL Position Type: Full-Time, W-2 Employment Salary Range … maps to custom software. Pelagic AI was founded by industry visionaries, each boasting decades of experience in the AI landscape. Our roots trace back to the early days of data mining, and our journey has encompassed pioneering work in modeling and simulation, algorithmic development, data science, machine learning, and generative AI. With a collective wealth of knowledge … this rich heritage, offering cutting-edge solutions driven by the deep expertise of its founders, ensuring that we remain at the forefront of AI advancements. Join our team using data to optimize environments and future-proof businesses. Our team has worked in the AI/ML sector for nearly 20 years. We represent true expertise in the field with More ❯

Salary: 55.000 - 85.000 € per year Requirements: • Qualification: A degree in IT, physics, mathematics, or a related field-preferably complemented by a computer science degree-and three or more years of experience in development with C# and Python • Experience & Know-how: Extensive experience in hosting AI models, along with a basic understanding of machine learning and SQL • Personality & Working Method … software solutions in Python and C# in the field of artificial intelligence and machine learning • Conceptualize and test scalable applications and services that meet customer requirements • Collaborate closely with Data Scientists and other Developers to seamlessly integrate AI models into existing systems • Analyze and optimize the performance of AI applications to maximize efficiency and effectiveness • Contribute expertise towards the More ❯

Passionate about Databricks and Data Engineering? Aivix has been in operation for over a year and recently achieved AWS Select Partner & Databricks Registered partner status. We excel in offering analytics solutions that facilitate data-driven digital transformations for our customers. Aivix is currently looking for data engineers who are interested in Databricks. You will be shaping the … beating heart of the data strategy at our customers. Together with the whole Intellus Family, we are an enthusiastic group. We encourage everyone to be themselves while actively empowering an entrepreneurial mindset. Ready to contribute to help and build our growing story? As a Databricks Engineer you will be involved in: Making use of best practices in Databricks; Big … Data and AI projects Having conversations with the customer to correctly identify the data needs; Developing data pipelines (ELT and ETL); Combining data from multiple sources in an efficient and performant manner; Developing smart algorithms and statistical models to extract insights from data; Support data scientists with data preparation and deployment; Advising the More ❯

maintaining robust, scalable services that seamlessly integrate with OpenAI's APIs and other AI tools. Your expertise will help drive innovative AI-driven solutions, enhance user experiences through effective data visualization, and ensure the reliability and performance of our applications. Key Responsibilities: Design and Development of Services & APIs: Architect, develop, and maintain scalable Python-based microservices and RESTful APIs … best practices, coding standards, and rigorous testing methodologies. AI & OpenAI Integration: Collaborate with AI engineers to integrate OpenAI's APIs and other AI models into our applications, ensuring smooth data flow and optimal performance. UI Integration & Data Visualization: Develop intuitive dashboards and visualization tools using frameworks such as Streamlit or similar, to present AI outputs and analytics effectively … to end-users. Cross-functional Collaboration: Work closely with data scientists, UI/UX designers, product managers, and other engineering teams to ensure seamless integration, data consistency, and overall service quality. Required Qualifications: Proficiency in Python: Extensive experience (7+ years) with Python development, including writing clean, efficient, and maintainable code. Service & API Development: Proven track record of designing More ❯

Senior Data Management Professional - Data Quality - Data AI Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for … delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes, while providing customer support. Our Team: Data AI contributes to building Bloomberg's AI-enhanced products at scale by curating model training data and improving … internal AI processes. We invest strategically in AI to embed it across Data, leveraging new AI technologies to provide high-quality data and access to new datasets for our clients. What's the Role? A Senior Data Management Professional (DMP) provides domain expertise in financial concepts and annotation program management to develop our AI products. They set More ❯

Reston, VA/Fort Belvoir As a Sr. Data Scientist on our team, you'll lead the charge in transforming raw data into actionable insights and cutting-edge machine learning solutions that directly impact a mission-critical defense IT system. Your expertise in advanced analytics and AI will help architect the intelligence layer of the platform-powering large … puts you at the forefront of innovation, enabling the implementation of LLMs and streaming pipelines that handle millions of records weekly. You'll also mentor and guide a growing data science team, shaping future technical leaders while driving forward a robust, intelligence-driven infrastructure that advances the mission. You Have: • 5+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining • Experience with production-level systems, data lake environments, and streaming data, including Kafka • Experience implementing end-to-end ML workflows from data More ❯

Broster Buchanan have partnered with a growing financial services business who are looking for a Head of Data Science. This is an exciting and challenging position for a highly motivated and energetic individual who is looking for the next step in their career. You must enjoy working in a very fast-paced, highly flexible, dynamic environment. The Head of … Data Science will lead a team working and solving problems across many aspects of a set of consumer lending products. This role will be based in central London with hybrid working available. Key responsibilities: Lead and develop a team of Data Scientists that will embed market leading models and processes within the business to support sustainable growth … and work on the creation and deployment of best in class segmented credit models that are appropriate for unsecured consumer lending products. Be a driving force in enhancing the data and analytics approach and capability of the business through identifying improvement opportunities and being prepared to test and learn quickly. Work closely with the wider Analytics team to drive More ❯

Job Description Summary As part of the Data Science Innovation Fellowship track of the Novartis Postdoctoral Fellowship Program, you will join our vibrant, dedicated postdoctoral community for events, including the monthly postdoc seminars and other scheduled events for postdocs. Fellows are surrounded by a supportive, collaborative community of postdocs and scientists, who would contribute to the acceleration of … or in a business function of Novartis. This applied research program has a duration of 3 years. Drug hunting is a team sport, and you will gain experience in Data Science & AI for drug discovery as part of a multi-disciplinary team in Biomedical Research. You will drive innovation by deploying cutting-edge data approaches in collaboration … with a vibrant and diverse community of over 300 data scientists globally. The program provides a unique platform to work on real-world, biomedical data at scale, rarely accessible in academia. Seize this chance to be at the forefront of Data Science and AI and shape the future of drug discovery! Job Description Internal Job Title More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would … be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong skills in Python scripting … skills Experience delivering Data Science projects Experience with Gen-AI Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental pay and leave More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would … be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong skills in Python scripting … skills Experience delivering Data Science projects Experience with Gen-AI Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to 60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental pay and leave More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would … be really well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong skills in Python scripting … skills Experience delivering Data Science projects Experience with Gen-AI Experience with Microsoft data technologies Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced parental pay and leave More ❯