601 to 625 of 687 Permanent Data Engineering Jobs

looking to expand its Machine Learning team in London. With backing from major institutional capital and a strong track record in global macro strategies, the firm is scaling its data and AI capabilities to support ambitious growth plans. This is a rare opportunity to take full ownership of the ML lifecycle in a highly selective, performance-driven environment. You … technically advanced team working on some of the most complex forecasting and signal generation challenges in finance. What You'll Do: Design and implement end-to-end ML workflows: data ingestion, model development, and deployment Automate and optimize large-scale data pipelines Develop forecasting and signal processing models tailored to macroeconomic data Collaborate closely with investment professionals … and data scientists Contribute to the build-out of scalable ML infrastructure What We're Looking For: Proven commercial experience doing hands-on ML, ideally in a fast-paced or startup environment Proven track record working across the full ML lifecycle Strong coding and data engineering skills Background in finance, trading, or macroeconomic forecasting is essential Experience More ❯

these innovative solutions for our clients, focusing on Accreditation and Authorization (A&A) as they develop and deliver next-generation AI/ML capabilities. Responsibilities: Provide comprehensive systems security engineering support across all applications and systems. Manage and maintain entries for all applications and systems within the clients A&A system(s), including creating new entries as needed for … application/system restructuring. Collaborate with engineering teams to execute A&A functions, addressing each security control, providing testing and audit logs, and ensuring all requirements are met. This includes managing system Plan of Action & Milestones (POAMs) and documenting all related work within the A&A systems. Provide proactive guidance on information security policies, regulations, and technical implementations, demonstrating … information and guidance to development teams and staff regarding A&A and security status, identifying and assisting in mitigating risks Mandatory Skills: Bachelor's degree in Computer Science, Software Engineering, or a related field. 10+ years of experience in a professional role as a Systems Engineer Relevant Bachelors Degree: equivalent to 3 years of experience Relevant Masters/Doctoral More ❯

Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Software Engineer Location: London - We offer a range … speak to your recruiter about the options for this particular role Grade: GG08-GG10 Referral Bonus: 5000 What You'll Be Doing The Software Engineer role is predominantly a data engineering position with the requirement for coding skills in order to implement and prototype various data manipulation methodologies. The ideal candidate would be a software engineer with … an educational background in Computer Science or a data scientist with proven skill in software engineering. The Software Engineer sits on the cutting edge of internet enabled investigations and the candidate will be working within a team of multiple contractors from across the space on difficult but interesting investigation problems. The candidate should ideally be familiar with some of More ❯

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 ❯

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 ❯

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 ❯

experience Experience with containerisation technologies like Docker and orchestration tools like Kubernetes on AWS. Familiarity with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. Knowledge of data engineering and experience with AWS data services like Redshift, Glue, or Kinesis. Experience with CI/CD pipelines and automation on AWS, such as using AWS CodePipeline 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 ❯