626 to 650 of 676 Permanent Data Engineering Jobs

the Forbes 2024 list of America's Best Startup Employers.Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS. DevRev is conversational AI at … work, right now. Patented technology unifies siloed data from legacy tools like Salesforce, Jira, and more into a knowledge graph, powering conversational AI interfaces that deliver precise answers, advanced analytics, and workflow automations. Think ChatGPT, but for work, enabled across existing data sources and software. DevRev also provides AI-native apps for customer support, product management, and engineering … Forbes 2024 list of America's Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS. Job Description We are looking More ❯

modules, leveraging ML frameworks (PyTorch preferred), containerisation (Docker, Kubernetes/ECS/EKS), and AWS services (SageMaker, Lambda, S3, RDS) Design and build CI/CD pipelines that automate data ingestion, model training, validation, canary deployments, and continuous retraining triggers Benchmark, Validate & Iterate Establish rigorous evaluation protocols and back-testing suites for each subsystem (e.g. precision/recall for … e.g. FAISS, Annoy), BM25, neural rerankers, agentic stack. Production skillset: Docker, Kubernetes or AWS ECS/EKS, CI/CD (GitHub Actions, CodePipeline), AWS ML services (SageMaker, Batch). Data engineering acumen: ETL pipelines, relational and time-series databases (Postgres/TimescaleDB), search/index stores. Advanced Python Skills: Deep knowledge of asynchronous programming (asyncio, FastAPI, or similar More ❯

When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS Background in Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps within FSI companies Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience. Experience in managing complex sales processes with … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. More ❯

Junior Software Engineer | £35-45k | Hybrid (UK) A growing data and tech start-up in the transport sector is looking for a Junior Software Engineer with 1-2 years of commercial experience to join their small, fast-moving team. You'll be building data-driven solutions that solve real-world infrastructure challenges, working across the full stack … up of 9 employees in a start-up company. It is a hybrid role with 3 days per week on-site in Central London. Key Tech Stack: Python for data processing and backend logic SQL (PostgreSQL/SQL Server) for data querying and pipelines React (TypeScript) for intuitive, modern UIs Exposure to cloud platforms (AWS/Azure), Docker … or streaming tools (Kafka, Spark, etc.) is a plus Ideal Profile: 1-2 years' experience in a commercial software or data engineering role Strong coding skills in Python, SQL, and React Keen to work closely with clients and solve meaningful, complex problems A self-starter comfortable in a start-up environment Package & Perks: £35,000-£45,000 base More ❯

applications using frameworks like FastAPI, Flask, or Django Build Azure-native solutions (Functions, App Services, Storage, DevOps) Manage CI/CD pipelines and optimize cloud performance Collaborate with DevOps, data engineers, and architects for seamless integration Ensure code quality, reliability, and maintainability Monitor production systems and contribute to continuous improvement Skills & Experience Proficient in Python and Azure services Experience … DevOps, Docker, and Kubernetes (AKS) Strong understanding of RESTful APIs, microservices, and cloud security Familiar with Git, Agile practices, and infrastructure as code (Terraform/Bicep) Bonus: Exposure to data engineering, ML workflows, and monitoring tools (Azure Monitor, Prometheus) Job Title: Python Developer Location: Leeds, UK Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western … collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at To access our Online Privacy Notice, which explains what information we may collect, use, share More ❯

Architect to our team. Key responsibilities: Understand and document our client's systems and integration landscape and then propose, design & deliver integration solutions. Architect the appropriate business intelligence/data-warehousing approach for integrating from our platform to the client data landscape. Define non-functional requirements (security requirements, scheduling, disaster recovery etc.) and assist with the implementation. Work … Alfa application and diagnosing issues. Collaborate with our functional experts to provide guidance to our clients about product functionality including standard methodology and inquisitive workarounds. Work with clients and engineering to add to and manage enhancements on our product roadmap. Support client teams with overall architecture deployment using existing supported platforms or our cloud hosted services as appropriate. Distil … experience with APIs, web services, event streaming and messaging (Kafka, JMS, SQS etc). Experience with market-leading SaaS or iPaaS solutions. Database experience, including with reporting systems/data warehousing. Performance analysis, with tools like JProfiler/CodeGuru. Knowledge of Containers (Docker). Knowledge of and experience with data engineering concepts, tooling and patterns. What we More ❯

We are urgently looking for an AI Engineer to join our Device Intelligence team. The ideal candidate will have proven experience in Data science Background, leveraging both traditional AI and Generative AI techniques along with applications using React, JavaScript, and Python Job Description: Data science expert to preprocess, analyse, and model data, leveraging both traditional AI and … Generative AI techniques. Develop and deploy AI-driven applications using React, JavaScript, and Python, ensuring scalability and production readiness. Design and optimize end-to-end AI pipelines, from data engineering to model training and deployment. Stay updated on emerging AI technologies and integrate them with existing AI/ML frameworks for innovative solutions. Collaborate with cross-functional teams More ❯

and smarter, without relying on experimental data. Unlike traditional approaches, Aqemia starts drug discovery purely in silico. By combining physics-based models with large language models trained on proprietary data, we identify promising molecules with high accuracy before synthesis. We've already delivered multiple preclinical successes and secured strategic partnership. Our internal pipeline is growing fast, with several programs … scaling the scientific logic and software that connect Aqemia's predictive models into advanced drug discovery workflows. You'll build the engine that enables large-scale computation and seamless data transformation. You'll work at the interface of cheminformatics, software engineering, and platform infrastructure, translating scientific needs into robust, scalable tools used daily across Aqemia's pipeline. What … in a drug discovery context Strong Python skills and experience with RDKit or similar libraries Familiarity with compound library design, molecular descriptors, and property prediction Ability to work with data scientists, ML engineers, and software teams Strong sense of code quality, testing, and documentation Good communication skills and collaborative mindset Experience in scaling complex scientific logic and reducing computational More ❯

up to date with industry trends, emerging technologies, and best practices to ensure the team's solutions are innovative and competitive. Job Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (or equivalent work experience). Proven experience as a Solution Architect, Technical Architect, or similar role with a strong track record of designing and … implementing enterprise-level solutions. Deep understanding of system architecture, data engineering, software development life cycle (SDLC), cloud computing (e.g., AWS, Azure, Google Cloud), and enterprise integration techniques. Expertise in designing solutions across various domains, such as enterprise applications, data management, security, and cloud infrastructure. Strong proficiency in programming languages, frameworks, and development methodologies. Ability to effectively communicate … looking for team members who love solving problems, are motivated by challenges, and enjoy turning clever ideas into exceptional products. When you work for us, you are using Ookla data and insights to advance our mission of better connectivity for all. About Ziff Davis Ziff Davis (NASDAQ: ZD) is a vertically focused digital media and internet company whose portfolio More ❯

Mandatory) Demonstrated experience with Java, JavaScript, Python or similar development languages and associated frameworks for applications development such as Flask, ReactJS or similar. 3. (Mandatory) Demonstrated experience working with data in, and developing applications with, Sql and NoSQL databases. 4. (Mandatory) Demonstrated experience documenting system design and architecture. 5. (Mandatory) Demonstrated strong coordination and collaboration skills with ability to … Sponsor's environment. 9. (Desired) Demonstrated experience working in an Agile software development cycle. 10. (Desired) Demonstrated experience with Sql and NoSQL databases. 11. (Desired) Demonstrated experience with geospatial data, visualization, and relevant analytic methods and tools. 12. (Desired) Demonstrated experience manipulating large datasets. 13. (Desired) Demonstrated experience with open source data engineering tools and processes. More ❯

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We've … plays a crucial role in this journey, working on cutting-edge projects that enhance our digital presence and improve customer engagement.As an AI Engineer, you will support the Technology Engineering team within CIO by contributing to the development, deployment, and maintenance of AI and machine learning solutions. Your work will help ensure the smooth and efficient delivery of AI … experienced colleagues, contribute to responsible AI practices, and grow your skills in a collaborative and innovative environment. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Basic experience delivering AI solutions in a collaborative environment. Proficiency in Python and familiarity with ML libraries Understanding of APIs, containers, and cloud services with More ❯

experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in AI or cloud technologies. If you More ❯

experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in AI or cloud technologies. If you More ❯

s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. The Product & Data Engineering team is responsible for end to end development for Disney's world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences … Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Engineering Services designs, builds, and sustains technology that powers DEEP&T Technology's worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional … services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security. The Apple team responsible for building Hulu is seeking an experienced Software Engineer with a passion for mobile applications to join our team. Our highly collaborative team brings together folks from many fields, including quality assurance, program management, product management, UX, and engineering. We More ❯

campaigns in a needs-based and highly participative fashion including consultative dialog, cross-functional engagement, and facilitated workshops. Represent full Fractal portfolio with broad understanding and expertise in AI, Engineering & Design/Behavioral sciences. Success Profile: You have a demonstrated track record of leading strategic engagements within new and existing Retail accounts for pure-play analytics services, while consistently … have demonstrated experience of leading large teams located globally, and are seen as a natural people leader, while effectively managing account growth goals. Qualifications and Skills: 15+ years in data analytics industry through direct client interaction Demonstrated ability to drive account growth in scaled accounts, develop strong cross-geography client relationships and execute pre-sales activities following account management … principles. Strong Retail Data & Analytics domain knowledge, and deep understanding of functional areas including Data Engineering, Cloud tech Supply Chain, Customer Analytics, Digital, Marketing Analytics, Reporting systems, Personalization, Experimentation etc. Excellent communication skills, both oral and written Ability to think on his/her feet and engage with both the business and analytical community. Comfortable with ambiguity More ❯

About Us We are a growing consulting business with a clear focus on AI and Data-driven solutions . We partner with leading organisations to help them unlock the value of AI, combining technical expertise with commercial insight to solve complex business problems. As part of our growth journey, we're looking for a Senior Consultant to join our … a flagship client, shaping and delivering AI-enabled solutions that make a tangible impact on their business. This is a hands-on consulting role that blends strategy, architecture, and engineering with a strong focus on outcomes. Key Responsibilities Partner with senior client stakeholders to understand business challenges and identify where AI can deliver real value Shape and deliver AI … enabled solutions - from discovery through to deployment Translate business problems into AI and data-driven approaches, balancing innovation with practicality Contribute to solution architecture and support engineering delivery where needed Act as a trusted advisor, bridging the gap between technology and business outcomes Mentor junior team members and contribute to the development of our AI & Data capability More ❯

Cumbria, UK (hybrid with client-site work) 💷 £60,000 – £80,000 base + benefits About Us We are a growing consulting business with a clear focus on AI and Data-driven solutions . We partner with leading organisations to help them unlock the value of AI, combining technical expertise with commercial insight to solve complex business problems. As part … a flagship client, shaping and delivering AI-enabled solutions that make a tangible impact on their business. This is a hands-on consulting role that blends strategy, architecture, and engineering with a strong focus on outcomes. Key Responsibilities Partner with senior client stakeholders to understand business challenges and identify where AI can deliver real value Shape and deliver AI … enabled solutions — from discovery through to deployment Translate business problems into AI and data-driven approaches, balancing innovation with practicality Contribute to solution architecture and support engineering delivery where needed Act as a trusted advisor, bridging the gap between technology and business outcomes Mentor junior team members and contribute to the development of our AI & Data capability More ❯

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We've … a crucial role in this journey, working on cutting-edge projects that enhance our digital presence and improve customer engagement. As an AI Engineer, you will support the Technology Engineering team within CIO by contributing to the development, deployment, and maintenance of AI and machine learning solutions. Your work will help ensure the smooth and efficient delivery of AI … experienced colleagues, contribute to responsible AI practices, and grow your skills in a collaborative and innovative environment. Skills we would love you to have: Experience in AI/ML engineering or applied machine learning. Basic experience delivering AI solutions in a collaborative environment. Proficiency in Python and familiarity with ML libraries Understanding of APIs, containers, and cloud services with More ❯

and stay current on emerging tools, techniques, and technologies. -Experience in Information Systems (IS). -Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution. More ❯

and stay current on emerging tools, techniques, and technologies. -Experience in Information Systems (IS). -Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution. More ❯

Who We're Looking For (Position Overview): Spry Methods is seeking a mission-driven Senior Data Scientist with deep expertise in Artificial Intelligence (AI) to support high-impact national security and intelligence efforts. This role is ideal for candidates who combine technical excellence in AI/ML, strategic thinking, and a commitment to public service. You'll be driving … AI, temporal modeling, and hybrid systems. Partner with investigators and mission analysts to understand operational challenges and translate them into technical AI solutions. Leverage large-scale datasets (including unstructured data, dark web intel, and network traffic) to forecast, detect, and mitigate security threats. Contribute to strategic technology roadmaps, federal AI policy discussions, and ethical deployment of AI in government … Computer Science, Artificial Intelligence, Machine Learning, or a related field (focus on symbolic AI, logic programming, or adversarial ML strongly preferred). 5+ years of experience applying AI or data science in mission-critical environments, ideally in national security, defense, or intelligence sectors. Demonstrated ability to apply machine learning and AI to cybersecurity, threat modeling, or decision-making under More ❯

Python with a passion for technology and an interest in adopting cutting-edge technology. Experience delivering SaaS projects in Python. Interest in AI and ML; experience with AWS and data engineering would be advantageous. Additional Information This role offers significant responsibility and opportunities to provide technical leadership in a business with a strong track record in web, software More ❯

their industry. They're expanding their tech team as they scale, and this is a fantastic opportunity to play a key role in their growth. Skills: Strong experience withPython Data led experience and preference for a background in Data Engineering Experience working across the full development lifecycle Experience with Azure DevOps would be a bonus What makes More ❯

collections strategies for the business using SQL and Python Managing/working closely the customer service team to make improvements for the collection's strategy Working closely with the Data Engineering to build out technical solutions to improve the collections strategies and processes Presenting to senior stakeholders both internally and externally Partnering with 3rd party vendors to support … need: Experience as a credit risk strategy manager/lead in collections Experience working in a fast-paced environment Experience developing credit risk strategies for collections Strong experience using Data and experience using AI/implementing AI processes for collections Experience working with SQL and Python STEM Degree from a top university Benefits Up to £120,000 + Benefits More ❯

over time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to … Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯