576 to 600 of 609 Data Engineering Jobs

shape requirements, define architectures, and deliver high-impact solutions. Role Responsibilities 1. Shaping Capability and Community Act as a technical leader within the AI & Data practice, mentoring architects and senior engineers. Stay ahead of Microsoft’s AI roadmap and emerging agentic patterns, translating these into practical guidance. Help shape … people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: thyssenkrupp Materials Services uses data to help strike a delicate operational balance What matters ...

approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should … strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models ...

technical lead and development team to build scalable, high-performing solutions in a secure cloud environment. This position will expose the candidate to data engineering, solutions architecture, and development concepts. This is an excellent opportunity for individuals majoring in technical and/or engineering curriculums. Following completion … prior to the interview. Candidate must have a strong desire to be certified in at least one AWS Technical Certification, such as: AWS Certified Data Engineer - Associate AWS Certified Machine Learning Engineer - Associate AWS Certified Solutions Architect - Associate AWS Certified CloudOps Engineer - Associate AWS Certified Developer - Associate AWS Certified ...

JAVA, Node.js, Python etc and someone willing to cross train. Experience building API's React or similar Vue/Angular AZURE or AWS Data Engineering is an advantage Experience building AI enabled applications or demonstratable interest Upper mid or Senior level experience and motivation to progress to leadership ...

office. Via Umbrella company Are you ready to elevate your career in treasury technology? Do you have a passion for bridging the gap between data engineering and financial modelling? If so, we have an exciting opportunity for you! Join our client's dynamic Market Risk Change Team … build and enhancement of QRM modelling capability, including dynamic assumption modelling to adapt to changing market conditions. Act as a vital bridge between engineering teams and colleagues running models in QRM, facilitating smooth communication and collaboration. Contribute to wider Group-wide projects and initiatives, playing a key role ...

investment team. You’ll be interfacing with the business regularly, so strong communication skills are important. Ideal person is tech first (Strong Python engineering fundamentals, API design) while getting exposure to modern tech across the stack such as UI's, messaging frameworks and data validation tools. Having … would be great. Experience with React is a bonus. As part of the process, you’ll meet with the CTO, investment partners, and the data engineering lead, so prior financial experience is required to hit the ground running. This role is based in London. If you’re interested ...

models now score above 170 on IQ tests. Reasoning isn't the bottleneck. Context is. The context layer sits between an enterprise's siloed data and the agents that need to act on it. Stuff the context window and you trade quality for cost and latency. Use naive … improve, and the moat widens. Same shape as Palantir's, different domain. We're at the start. Clients include private capital firms, edtech, automotive data, professional services, and a growing list of global consultancies evaluating us against their internal GPT deployments. In the last two weeks, we shipped ...

Consultant - Foundry: AI/Data Solutions (Milton Keynes Hybrid) Contract: Part-time to Full-time Transition Location: Milton Keynes (1+ day per week on-site) Duration: Initial 2–3 months, with potential for extension or permanent conversion We are supporting a global AI and data consultancy in hiring … Client Success Engineer to work with enterprise clients implementing advanced AI and data-driven solutions. This position is ideal for someone who enjoys both the technical and relationship-building side of delivery, designing, prototyping, and deploying real-world solutions that deliver measurable business impact. The Role On-site presence ...

sector client looking to expand their Devops team (multiple roles). Key requirements: Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version ...

Machine Learning Engineering Manager We're building a new ML Engineering team and are looking for a strong technical lead to help take our machine learning capability from proof-of-concept to fully scaled, production-ready solutions. Sitting within our Group & Enterprise Services (GES) function, this role … part of the Data vertical and reports into the Head of Data Engineering. You'll be hands-on with cloud infrastructure, APIs and deployment pipelines, working mainly in GCP Vertex AI (essential) and Azure (desirable). Your focus will be enabling data scientists to deploy high-impact ...

TOYOTA Connected in Farringdon, London is looking for a Head of Technology to shape their technical vision and lead the engineering team. In this permanent hybrid position, you will manage solution architecture while fostering collaboration between business functions and IT. Ideal candidates have strong technology leadership experience, proven success ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

capabilities that exemplify those practices. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

capabilities that exemplify those practices. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

World's leading Investment Banks is seeking a polished, ambitious and hard working individual to join their Data Engineering division as an Operations Analyst to support the Chief of Staff function. The Chief of Staff function operates across the EMEA region and is responsible for managing a wide … strategies, and maintaining milestones and budgets. You will be responsible for assisting with the on-boarding process for contractors, updating systems and producing meaningful data reports via Excel, tracking staff movements and transfers and co-ordinating on-going projects. You MUST possess excellent inter-personal skills, bags of energy ...

life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms … highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/ ...

life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms … highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/ ...

life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms … highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/ ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...