1,276 to 1,300 of 1,438 Permanent Machine Learning Jobs

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 ...

Capital Markets clients, helping organisations modernise platforms, implement GenAI solutions, and drive enterprise-wide innovation. Key Responsibilities Design and deliver scalable AI/ML and GenAI architectures Lead enterprise AI and data transformation programmes Work closely with business, engineering, data, and architecture teams Support cloud-based AI deployments across … market initiatives Key Experience Strong Banking and/or Capital Markets experience AI, Data, or Solution Architecture background Experience delivering cloud-based AI/ML solutions across major cloud platforms and vendor technologies, including Google PaLM, Vertex AI, Azure OpenAI Services, AzureML, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake SnowPark, Snowflake ...

Capital Markets clients, helping organisations modernise platforms, implement GenAI solutions, and drive enterprise-wide innovation. Key Responsibilities Design and deliver scalable AI/ML and GenAI architectures Lead enterprise AI and data transformation programmes Work closely with business, engineering, data, and architecture teams Support cloud-based AI deployments across … market initiatives Key Experience Strong Banking and/or Capital Markets experience AI, Data, or Solution Architecture background Experience delivering cloud-based AI/ML solutions across major cloud platforms and vendor technologies, including Google PaLM, Vertex AI, Azure OpenAI Services, AzureML, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake SnowPark, Snowflake ...

quickly together, embracing collaboration and change as part of start‐up life. Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it – not because it is expected every day, but because seeing progress matters. … Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‐based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system ...

solutions aligned to strategic business goals. Oversee end-to-end solution delivery across the data and AI lifecycle-from ingestion and modelling to ML development, deployment, and monitoring. Act as Delivery Manager for AIPX , ensuring robust data pipelines and high-quality data products aligned with architectural standards and business needs. … Provide technical leadership across data architecture, cloud infrastructure, and AI/ML capabilities . Collaborate with stakeholders to translate business requirements into actionable technical solutions , manage delivery risks, and prioritise backlogs. Establish and enforce engineering best practices , including DevOps/MLOps, coding standards, testing frameworks, and documentation. Design and deliver ...

engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical … regulated financial services What we're looking for A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

LangChain · Semantic Kernel · Microsoft Fabric · Unity Catalog · Python · Terraform · Kubernetes · OpenTelemetry What We're Looking For 5+ years in software, data, and AI/ML with at least 4–5 years as a hands-on architect delivering production AI systems Proven delivery across at least two of: Azure AI Foundry … teams with equal credibility UK based and eligible to work in the UK Nice to Have Databricks certifications (Generative AI Engineer, Data Engineer Professional, ML Professional) AWS certifications (Solutions Architect Pro, ML Specialty, AI Practitioner) Exposure to regulated industries — BFSI, Healthcare, Pharma, Telecom Experience with knowledge graphs, multimodal ...

Domains and their capabilities within Azure/GCP and SME experience in at least one area. Familiarity in AWS is also desirable. • AI/ML security: Knowledge of AI/ML threats and risks, with experience applying security controls for secure deployment of AI services in cloud platforms. • Application Security ...

Azure Data Lake). Familiarity with Microsoft Purview and broader governance practices. Dynamics 365 CE and FO integration and analytics. Exposure to AI/ML enablement in Microsoft ecosystem (e.g., Azure ML/AI Foundry/Azure OpenAI), particularly where analytics feeds AI-powered apps. Experience designing BI/data ...

across MLOps/LLMOps/AI governance Contribute to reusable frameworks and accelerators What youll need (must-have): Experience as an AI Architect/ML Architect/GenAI Architect Strong expertise in: Generative AI & LLMs, RAG (Retrieval-Augmented Generation), Agentic AI frameworks Hands-on with; LLMs (OpenAI, Llama, Claude, Mistral … Vector DBs (Pinecone, Weaviate, FAISS), Frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph) Strong Python + ML frameworks (PyTorch/TensorFlow) Experience deploying on AWS, Azure, or GCP Experience leading or influencing technical teams Nice to have: Experience in consulting/client-facing roles Exposure to bids, RFPs, or pre-sales Knowledge ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data Science/ML/ ...

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 ...

experience building scalable distributed systems or data platforms. Fluency in Python, SQL, Java, and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka … security engineering, IAM principles, encryption, and cloud security controls. Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems. In addition Exposure to MLOps, LLMOps, or model lifecycle management. Awareness of model risk and regulatory frameworks (e.g., SS1/23, NIST AI Risk Management ...

experience building scalable distributed systems or data plat forms.Fluency in Python, SQL, Java, and modern data processing frame works.Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (requ ired).Proven experience developing monitoring frameworks, observability pipelines, and dashb oards.Deep understanding of event-driven architectures and messaging systems (Kafka … security engineering, IAM principles, encryption, and cloud security controls. Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML sy stems. In a dditionExposure to MLOps, LLMOps, or model lifecycle mana gement.Awareness of model risk and regulatory frameworks (e.g., SS1/23, NIST AI RiskManagement ...

multiple products Applying AI-assisted development practices including AI-assisted code review, automated testing, secure prompt engineering, and identifying opportunities to apply AI/ML in fraud detection and payment optimization Providing input on future initiatives with stakeholders and fellow engineers, including technical debt prioritization, platform modernization, and capital planning … incident documentation Apply AI-assisted development practices including AI-powered code review, test generation, refactoring, and documentation; identify safe injection points for AI/ML in payment and fraud systems Mentor junior engineers through code reviews, technical discussions, and pair programming Collaborate with external vendor teams and internal stakeholders ...

Code: 95014 Top 3/5 Skills: Agentic AI depth, Orchestration, LangGraph, CAPA Claude/Anthropic: Claude production expertise MCP Server, Predictive ML/statistical analytics Medical device industry experience- 5-7yrs Min & Max Pay Rate: $75.00/hr. - $82.00/hr. Job Responsibilities Title: Sr Data Engineer- Agentic … orchestrated AI pipelines for entity extraction, event classification, failure mode standardization, trend tagging, risk categorization, and summarization aligned to quality and manufacturing taxonomies. Core ML & Statistical Analysis for Manufacturing Solid foundation in predictive modeling, clustering, time series analysis, anomaly detection, and statistical methods applied to manufacturing processes, defects, equipment signals ...

semantic models and governed data products. Architect secure ETL/ELT pipelines, data integration patterns, and lakehouse architectures (including medallion patterns) that support analytics, ML/AI use cases, and real-time decisioning while respecting patient data sensitivity and de-identification requirements. Ensure all solutions meet NHS interoperability standards (FHIR … healthcare sector. Familiarity with Palantir Artificial Intelligence Platform (AIP) and building ontology-driven applications or agents. Experience with Azure AI/ML services or Databricks AI/Feature Store capabilities. Knowledge of NHS national data strategies, federated analytics, or secure data environments. Relevant certifications (e.g., Azure Solutions Architect Expert, Databricks ...

semantic models and governed data products. Architect secure ETL/ELT pipelines, data integration patterns, and lakehouse architectures (including medallion patterns) that support analytics, ML/AI use cases, and real-time decisioning while respecting patient data sensitivity and de-identification requirements. Ensure all solutions meet NHS interoperability standards (FHIR … healthcare sector. Familiarity with Palantir Artificial Intelligence Platform (AIP) and building ontology-driven applications or agents. Experience with Azure AI/ML services or Databricks AI/Feature Store capabilities. Knowledge of NHS national data strategies, federated analytics, or secure data environments. Relevant certifications (e.g., Azure Solutions Architect Expert, Databricks ...

Procurement etc) and Industry-specific value streams Assess feasibility and ROI of AI-led transformation opportunities Define use cases involving LLMs, agentic workflows, RPA, ML models, and orchestration platforms Create reusable AI solution patterns across value chains 2. RFP & Proactive Deal Support Lead AI solutioning for: RFP responses Client proposals … cross-sell and up-sell initiatives Required Qualifications · 15 years of experience in Solution Architecture, Consulting, or Digital Transformation · Strong understanding of AI/ML, LLM-based architectures, and intelligent automation · Experience supporting RFPs and complex deal pursuits · Experience across multiple enterprise value chains · Strong financial modeling and business case ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...