626 to 650 of 1,371 Permanent Machine Learning Jobs

trends and advancements in AI and machine learning. Profile Must haves: Software Engineering experience - ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions … Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more holidays Matched pension Life assurance ...

reporting and analysis. You'll support secure data provision, including pseudonymised or anonymised outputs, in line with governance and data protection requirements. Experience in machine learning or data science would be an advantage, but strong engineering capability is the priority. This is a permanent, full-time, 36 hour … decision-making. Create reusable datasets, governed outputs and trusted reporting assets. Support secure access, governance, documentation and data lineage. Contribute to advanced analytics or ML use cases where relevant. About You We are looking for a rigorous data engineer with strong experience in integration, modelling and delivering reliable, well-documented ...

changing expectations of customers and regulators. Were looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks … across Yorkshire Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping ...

Data Science, Engineering, Mathematics or a closely related discipline. At least 7 years' experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects. Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi‐stakeholder environments. Proven experience working … project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud‐based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change ...

title. Through our Leadership Capability Framework, we define how every team member contributes to our mission and culture: Know & Grow Your People - Commit to learning and supporting team success. Build Relationships - Communicate openly, collaborate well, and build trust. Take Ownership - Deliver on commitments and take pride in your work. … 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 ...

defence, or regulated industries. Knowledge of data mesh or modern data architecture principles. Experience with containerisation technologies such as Docker and Kubernetes. Familiarity with machine learning pipelines and MLOps. Certifications in cloud platforms or data engineering technologies. What We Offer: Competitive Salary Bonus Scheme Private Healthcare Insurance ...

these processes to link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. Has experience of using data visualisation tools such as PowerBI Has experience with general ledger/ ...

overall performance metrics Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards Build robust and real … Required - Great velocity for building and shipping agents/AI products. Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional - Demonstrated ability to do independent research ...

LangChain, LangGraph Vector Search & Semantic Retrieval MLOps & LLMOps AWS, Azure, GCP, Databricks Kubernetes & Cloud-Native Platforms We're looking for • Experience designing enterprise AI, ML or data platforms • Strong cloud and modern data architecture expertise • Proven delivery of AI solutions into production environments • Experience within Financial Services or other regulated ...

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 ...

using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB. Experience with integration of 3rd-party systems Experience with statistical modelling, ML optimisation & forecasting Strong data analytics skills Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative ...

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 ...