676 to 700 of 1,486 Machine Learning Jobs

thinking mindset with an interest in building coherent, scalable product ecosystems. Excellent communication and stakeholder management skills. Nice to Have Exposure to AI/ML platforms, model deployment workflows, monitoring systems, or data pipelines. Experience creating operational optimisations software products for the data centre space or physical infrastructure, industrial ...

technical blog posts Qualifications Required 8–12+ years engineering experience; 3+ years in customer-facing or FDE roles Proven track record deploying AI/ML or data-intensive applications in production Strong full-stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL DevOps proficiency: Docker, Kubernetes ...

control, monitoring, and visualisation. Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation. Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems. Establish engineering best practices across testing, deployment, and performance optimisation. Continuously iterate and refine ...

running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring ...

Implement model evaluation and observability frameworks for quality, reliability, and cost monitoring at scale. Basic Qualifications 5+ years of backend or applied AI/ML engineering with a track record of building production-grade systems. Proficiency in Python (libraries, testing, packaging) and building scalable APIs or SDKs. Hands-on experience ...

Implement model evaluation and observability frameworks for quality, reliability, and cost monitoring at scale. Basic Qualifications 5+ years of backend or applied AI/ML engineering with a track record of building production-grade systems. Proficiency in Python (libraries, testing, packaging) and building scalable APIs or SDKs. Hands-on experience ...

Implement model evaluation and observability frameworks for quality, reliability, and cost monitoring at scale. Basic Qualifications 5+ years of backend or applied AI/ML engineering with a track record of building production-grade systems. Proficiency in Python (libraries, testing, packaging) and building scalable APIs or SDKs. Hands-on experience ...

bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability. Innovation & Continuous Improvement Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards. Define and track advanced quality metrics (escape rates, flakiness, system ...

bottlenecks and drive organization-wide solutions to improve efficiency, coverage, and reliability. Innovation & Continuous Improvement Champion research and adoption of emerging technologies (AI/ML in testing, autonomous testing, advanced observability, etc.) to keep test practices ahead of industry standards. Define and track advanced quality metrics (escape rates, flakiness, system ...

FinOps principles) - Awareness of agile delivery methodologies (Scrum or Kanban). Desirable: - Experience with DBT (Data Build Tool) or Prefect. - Awareness of AI/ML data preparation and the security implications of LLM training data. - Knowledge of housing, asset management, or repairs systems (ideally Civica Cx and Total Mobile Service ...

technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values ...

working with a fast moving tech business looking for a Senior ML Engineer to own personalisation end to end. This isn't a research role. You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them — all in service of recommendation … engines and ranking algorithms that directly impact user experience. What you'll be doing: → Design, train and optimise ML models for personalisation and recommendations → Build and maintain scalable data pipelines for feature engineering and model training → Deploy and monitor models in production — performance, availability, relevance → Lead A/B testing ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...

aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped … build + deploy + collaborate + document + explain." That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include ...

ship with confidence. Key Skills: - Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) - Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) - Experience with CI/CD pipelines and cloud environments (we use Azure) Assignment Objectives - Implement … improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output ...

focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data … Science/Machine Learning/AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews ...

focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data … Science/Machine Learning/AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews ...

Desirable Experience with AWS, Azure, or Google Cloud Docker and Kubernetes experience Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects or mentoring engineers What We Offer Competitive salary and performance bonus Flexible and hybrid working … arrangements Private healthcare Pension contribution Learning and development budget Modern equipment and tools Clear progression opportunities into Lead and Principal Engineering roles Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy. ...

time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. We know your well-being and happiness ...

qualification (or near-completion) in Computer Science, Computing, Software Engineering, Data Science, or a closely related discipline A genuine interest in artificial intelligence, machine learning, and how these technologies are transforming industries Familiarity with at least one programming language (Python preferred) and a willingness to learn quickly Strong … senior leadership team - you will have visibility and influence that is impossible at larger organisations A funded apprenticeship with structured learning and professional development The chance to work across multiple brands and markets, gaining breadth of experience A genuine say in how AI is adopted and implemented across ...

Supporting the development of AI driven code and infrastructure security analysis What you'll bring: * Strong software engineering background with experience building AI/ML-powered systems * Experience working with modern machine learning frameworks and model development * Experience building scalable data pipelines or AI infrastructure * Strong programming skills ...

mission-critical, and right now, most of that complexity is still handled by hand. This company is changing that .Built on years of machine learning PhD expertise, backed by a top-tier venture firm, and now operating at global scale following a high-profile acquisition, this team … compositional API primitives that accelerate the productionisation of a growing library of document insi ghtsBuild and maintain integrations with third-party services and internal ML sys temsContribute to frontend features and components as needed to deliver end-to-end functiona lityDrive performance optimisation for data-intensive backend operat ionsChampion engineering ...

just writing code in the corner. We’re looking for an ambitious Yocto/Embedded Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. Be eligible for UK SC clearance What You’ll Do Design and build high-performance software used by thousands … build something great together. Graduate Software Developer, Junior Developer, Entry-Level Developer, Python Developer, C++ Developer, Computer Science Graduate, Full Stack, Software Engineer, Cloud, Machine Learning, JavaScript, Coding Graduate, Graduate Technology Jobs, Yocto developer, Embedded Developer ...

/ELT processes Data transformation Data orchestration Version control and release management Experience working in Agile delivery teams. Desirable Experience Exposure to AI, Machine Learning or Generative AI initiatives. Knowledge of data governance and data quality frameworks. Experience working within complex enterprise environments. Familiarity with CI/ ...