651 to 675 of 746 Data Engineering Jobs

the U.S. Employment Type: Flexible Part-Time Role (part-time, up to 29 hours weekly, no guaranteed hours. Project dependent.) Who we are: Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out … a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel … categories or labels to items. Content Quality: Evaluating the perceived quality and/or appropriateness of content Content Understanding: Generating labels to advance understanding of a concept, trend etc. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text More ❯

experienced Analytics Architects. As a global consultancy firm working across the private and public sectors, they specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Some of the things you'll be doing: Assisting global partners to maximise returns on their Analytics investment. Working directly with clients to understand their business strategy, programme … requirements & processes Utilising specialist knowledge of analytics, data warehousing and data engineering to support the development and expansion of the solution footprint to meet clients' articulated business strategy. Utilising your deep knowledge of the Microsoft Ecosystem & supporting the development of more junior team members The Job itself: Analytics Architect Hybrid - 2-3 days p/w in More ❯

a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing. Apply professional knowledge of computer science, mathematical and statistical theories, techniques, and methods to gather, analyze, design, and construct … new processes for modeling and interpreting trends, relationships, and correlations among or within data sets. Deliver data visualizations, analytics, and processing capabilities. More ❯

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 More ❯

offer a comprehensive range of services from application development and seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs Our Data Practice delivers exciting projects through data-driven, digital transformation for our customers. We support from pre-sales through to delivery and have a strong focus on solving real … customer challenges and deriving true customer benefit with the ultimate goal of benefiting society and driving meaningful digital and cultural change. Our senior data engineers will be coached to grow from both a technical and soft skills perspective, plus have the chance to progress their career through an architecture, expert, or generalist career track. Job Description Role Description: Netcompany … Clearance Must be willing to do UK-based travel for projects Right to work in the UK Experience in delivering customer value through Agile delivery methodology Contribute towards wider Data Practice through supporting pre-sales, knowledge sharing and generating offerings and accelerators 4 years of data engineering experience Benefits: Hybrid working model with some flexible working 25days More ❯

Data Engineer - 3 months - £400 per day - Outside I'm working with a long-standing client, that is in need of bringing in a new data engineer to support an ongoing project. They are currently entering the implementation phase of the project after undertaking the design phase and need a skilled data engineer to help with this. … You will be tasked with delivering the designed, so you will need to hit the ground running and make sure nothing falls behind. Skills needed. Background in data engineering Azure experience - must have worked with Databricks Data modelling, migration and transformation Desirable Skills WhereScape General information. Location - Remote – odd visit to the clients site a month Rate More ❯

solving complex technical challenges and keeping critical platforms running smoothly? If so, we'd love to hear from you. Method resourcing are excited to be partnered with a specialist data consultancy with an impressive client portfolio - and they are looking for a Senior Technical Support Engineer to become the go-to problem solver for the cloud and data … and quick turnarounds Monitor and troubleshoot systems to keep them stable, secure, and high performing Contribute to automation and infrastructure-as-code initiatives (Terraform, scripting in Python) Support the Data Engineering team with pipeline operations, maintenance, and optimisation Create documentation, onboarding guides, and repeatable support processes Lead incident and change management processes, including root cause analysis Bridge the … Infrastructure-as-Code tools (Terraform preferred) and a good understanding of automation principles Strong problem-solving skills, able to get to the root of issues quickly across cloud and data platforms Confident communicator who can collaborate effectively with engineers and explain technical matters clearly to non-technical colleagues Bonus points if you have experience with: Data warehouse platforms More ❯

and technical designs. Key areas of focus will include: Responsible for software architecture, development, integrationand maintainability of software Responsible for secure, compliant, and robustsystem design for industrial applications Supporting data engineering for both structured (SQL) and unstructured (RAG) data, with an emphasis on streaming and time-series data Your Personality Excited to solve problems, regardless of … technology stack You possess strong technical leadership skills, with the ability to explain technical needs and recommendations effectively to team members and stakeholders You are motivated to drive the engineering best practices and standards, fostering a high-performing team culture Your Experience Architected, developed, deployed and maintained scalable software and/or AI/ML solutions Wrote production-grade … well-tested code (Python, C++, C#). Ideally, had experience with integrating ML features into C++ applications Ensured secure handling of sensitive operational data and compliance with relevant standards Developed and maintained robust APIs for system integration Drove operational excellence and continuous improvement Implemented and managed monitoring, observability, and troubleshooting tools for deployed systems Designed and handled containerised applications More ❯

systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills … Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop) is a plus. More ❯

systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills … Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop) is a plus. More ❯

of scalable Generative AI solutions. Key Responsibilities: Lead the fine-tuning, distillation, and deployment of LLMs for high-impact use cases in clinical research and commercial life sciences. Drive data engineering processes to convert structured and unstructured data into high-quality, trainable datasets. Design and implement AI agents using IQVIA's Agentic AI framework to enable autonomous … leadership and mentorship to junior scientists and engineers. Serve as a key technical voice in client engagements-translating complex AI concepts into actionable business insights. Collaborate cross-functionally with engineering, product, and domain experts to ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g. More ❯

of scalable Generative AI solutions. Key Responsibilities Lead the fine-tuning, distillation, and deployment of LLMs for high-impact use cases in clinical research and commercial life sciences. Drive data engineering processes to convert structured and unstructured data into high-quality, trainable datasets. Design and implement AI agents using IQVIA's Agentic AI framework to enable autonomous … leadership and mentorship to junior scientists and engineers. Serve as a key technical voice in client engagements-translating complex AI concepts into actionable business insights. Collaborate cross-functionally with engineering, product, and domain experts to ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g. More ❯

required. Requirements EDUCATION: Master's degree in Computer Science or Software Engineering. Master's degree in Computer Science preferred. INDUSTRY EXPERIENCE: Two (2) to three (3) years of software engineering experience, preferably involving real-time systems, firmware, biomedical devices, network programming, machine learning, data engineering/analytics automation. Some SQL Database Development and/or Data … years of experience teaching in a community college or advanced high school programming classes or relative industry experience. TECHNICAL SKILLS: Solid foundation in C Java/C# Strong Software Engineering knowledge Preferred Technical Skills: HTML/CSS SQL/Database Cloud Application Development Solid foundation in Python This position is Security Sensitive, therefore, candidates will be subject to a More ❯

Overview Join the Growth Story at Envitia At Envitia, we're passionate about harnessing the power of data to drive innovation and solve complex challenges. As a leading technology company specialising in data intelligence, AI, and geospatial solutions, we empower organisations across defence, government, national security and commercial sectors to make smarter, data-driven decisions. We're … do every day. As a leader in the UK's digital and software services landscape, your work in cutting-edge technology empowers our customers to manage, share, and exploit data more effectively by: Influencing significant digital and data transformation projects across the UK public sector. Utilising AI and Machine Learning to innovate sophisticated decision support systems. Making an … truly matter-and where you'll be recognised for them. The Role We are seeking a Senior Managing Consultant to play a pivotal role in delivering high-impact digital, data, and geospatial programmes across the UK's national security community. The role will combine strategic programme leadership with campaign development to expand Envitia's presence and growth within this More ❯

the relevant project teams Coordinate and support meetings that include, but are not limited to, technical exchanges, kickoffs, cross-collaborations, and ad hoc sessions Build PowerPoint briefings and present data at weekly division-level meetings and monthly program management review briefings upon request Provide project management support and coordination on projects, to include strategy and roadmap development. Compile information … statistical - in support of program management and communications between multiple organizational components Assess the compiled information and provide summaries and details as-needed Coordinate and work on various organizational data calls with staff and across project teams and support reporting statuses to management Assist staff leads with account creation requests and submitting and tracking tickets in organizations systems Requirements … writing reports, meeting minutes, point papers, memos, briefings, and ad hoc explanations with the goal of keeping projects on track and moving towards a successful conclusion Preferred Experience with data science and data engineering tools and methods. PMP Project Management certification More ❯

that uncover patterns, generate insights, and empower investors in the rapidly evolving crypto space. Key Responsibilities Lead the design, implementation, and optimisation of AI/ML models for blockchain data analysis. Collaborate with product and engineering teams to integrate AI/ML solutions into the core platform, enhancing capabilities and user experience. Stay ahead of the curve on … ML function. Align AI/ML initiatives with business objectives and customer needs through close cross-functional collaboration. Deploying scalable AI/ML systems capable of processing large, complex data sets. Leveraging modern AI models, APIs, and SDKs (e.g., OpenAI, LLMs). Enhancing the platform’s ability to surface high-value insights and opportunities for users. What We’re … delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication skills and ability to work effectively in a fully remote, multi-time zone team. More ❯

that uncover patterns, generate insights, and empower investors in the rapidly evolving crypto space. Key Responsibilities Lead the design, implementation, and optimisation of AI/ML models for blockchain data analysis. Collaborate with product and engineering teams to integrate AI/ML solutions into the core platform, enhancing capabilities and user experience. Stay ahead of the curve on … ML function. Align AI/ML initiatives with business objectives and customer needs through close cross-functional collaboration. Deploying scalable AI/ML systems capable of processing large, complex data sets. Leveraging modern AI models, APIs, and SDKs (e.g., OpenAI, LLMs). Enhancing the platform’s ability to surface high-value insights and opportunities for users. What We’re … delivering impactful AI/ML projects. Expertise in frameworks such as TensorFlow or PyTorch, and proficiency in Python. Familiarity with AI-first approaches and large language model integration. Some data engineering experience is a strong plus. Strong analytical and problem-solving skills. Excellent communication skills and ability to work effectively in a fully remote, multi-time zone team. More ❯

Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon SageMaker . This role is based … site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models, ensuring reliability and accuracy. Stay up-to … date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity More ❯

with an average of between £19,000 and £36,000 in profit share Softwire is one of the UK's leading technology consultancies, offering services in software engineering, design, innovation, cloud, mobile, data and AI. We deliver high-profile and cutting-edge digital projects for household names across the public and private sectors. Softwire was founded on one … experience in technical roles, including at least 4 years in an agency/consultancy context. You have deep knowledge and proven experience in least one of the following areas: Data engineering Cloud platform architecture/migration (AWS and/or Azure) Digital platform architecture and enterprise modernisation AI engineering You have a track record delivering high-value More ❯

with an average of between £19,000 and £36,000 in profit share Softwire is one of the UK's leading technology consultancies, offering services in software engineering, design, innovation, cloud, mobile, data and AI. We deliver high-profile and cutting-edge digital projects for household names across the public and private sectors. Softwire was founded on one … experience in technical roles, including at least 4 years in an agency/consultancy context. You have deep knowledge and proven experience in least one of the following areas: Data engineering Cloud platform architecture/migration (AWS and/or Azure) Digital platform architecture and enterprise modernisation AI engineering You have a track record delivering high-value More ❯

Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products … they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Commerce, Data & Identity (CDI) provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as … well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company. The ideal candidate is a visionary leader with a proven track record More ❯

have the opportunity to partner across multiple business areas building scalable innovative solutions. This role would suit an ambitious, seasoned engineer who wants to be part of an expanding engineering team having a big impact. Responsibilities Design and develop scalable, high-performance internal platforms and applications for core business functions including Credit Trading, FX Hedging, Portfolio Monitoring, and Treasury. … Collaborate cross-functionally with investment, operations, and data teams to translate complex business workflows into efficient, maintainable software solutions. Drive the full software development lifecycle - from technical design and implementation to testing, deployment, and production monitoring. Contribute across the stack, including backend services, frontend interfaces, and data engineering pipelines as needed. Provide technical leadership and mentorship to … more junior team members, fostering a culture of learning, accountability, and continuous improvement. A degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience in a professional environment. Proven experience designing and developing robust APIs, microservices, and backend systems that power business-critical workflows. Experience with at least one of the following languages: Go More ❯

Working within the IS Strategy & Data team, the Database Administrator is a technical role responsible for supporting end-to-end database solutions across various platforms to an increasing number of customers inside and outside the organisation. Role Responsible for completing DBA tasks and supporting the operational service needed for database administration To provide day-to-day administration and support … Oracle and SQL Server databases, including configuration, troubleshooting, tuning, monitoring, maintenance and housekeeping to ensure that the systems run efficiently To support the backup and restore procedures to ensure data can be recovered as appropriate To perform regular checks against the Database and UNIX estate and resolve issues as required To participate in projects providing technical input and support. … To produce technical documentation for use within the department and user guides for the business to ensure the effective use of systems To maintain confidentiality of data at all times and to conform with Data Protection To apply and manage the relevant diversity and equality policy and practice relevant to the role To apply the relevant management systems More ❯

VA Salary: 120K- 168K Background Work with the Chief Engineer and Technical Leads to translate requirements into user stories to incorporate new functionality into various software applications Develop custom data processing functions and applications using data libraries in languages such as Python Interface with numerous front-end frameworks in order to display and interact with data in … for cloud deployment with cost-conscious development and deployment strategies Requirements Minimum of 3-5 years' experience with Java Springboot, Management of NiFi Workflows and clusters, Python Regex & Parsing, Data Engineering & ETL , AWS (Lambdas, EC2, EKS, RDS) Developing software within Agile methodologies Preferred Experience developing web APIs to interface with cloud applications and databases as part of cloud More ❯

which are complex in scope. This role applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This … role strongly contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment. Essential Duties Include, but are not limited to, the following: Maintain … deep expertise in one or more AI technology areas. Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact Sciences. Develop perspectives on "AI technology affordance": what do these advances in AI technology allow us to do (more efficiently and/or more effectively) that we couldn't More ❯