401 to 425 of 501 Remote/Hybrid Machine Learning Jobs

cloud networks. The role focuses on enhancing Real Time observability, proactive detection, anomaly identification, event correlation, RCA, and predictive insights using AI/ML techniques, while ensuring seamless integration with assurance, NOC/SOC workflows, and cross domain OSS systems. The ideal candidate brings deep knowledge of fault/performance ...

Collaborating closely with leadership, sales, delivery, and academy teams to shape innovative solutions Skills and Experience Experience working in the industry delivering AI or ML solutions A strong technical foundation with the ability to design and deploy AI systems end-to-end Confidence in client-facing roles, with the ability ...

leadership candidates Managing multiple complex searches while maintaining a high quality bar What We’re Looking For Proven experience in technical recruitment (AI, data, ML, or software preferred) Background in search/boutique recruitment , or a top performer from a larger agency Stable career history with clear progression Comfortable working ...

world value. What You’ll Bring 3+ years experience in a commercially driven customer environment Strong Python skills and solid grounding in AI/ML fundamentals. Experience with some of Databricks, LangChain , vector databases , or LLM orchestration tools . Knowledge of RAG pipelines , transformers , and modern AI architectures . Understanding … plus). Recent, hands-on experience with applied LLM projects . Strong communication and stakeholder engagement skills. A Master’s degree in Computer Science, ML, or AI is preferred but not required. The Opportunity Be part of an ambitious AI journey - already 70% built, with big plans for the next ...

advisor, you will guide customers in modernising their data ecosystems and operationalising AI through governed, repeatable, and measurable service Where purpose meets career: Continuous learning and exposure to innovative solutions: Work with a diverse portfolio of customers across multiple industries, tackling challenging data and AI initiatives, and applying your … years in data architecture, analytics, or AI solution design , ideally within presales or consulting, with deep expertise in data platforms, governance, and AI/ML system design. Hands-on experience designing and deploying AI-as-a-Service and AI platform solutions in hybrid or managed service environments, including familiarity with ...

throughput pipelines to capture metrics such as: Model performance, drift, and degradation Operational and service health Security posture and policy adherence Guardrail compliance for ML and GenAI systems Governance and risk indicators Implement observability tooling using logging, metrics, tracing, and event-driven patterns. Apply secure-by-design principles, strong … building scalable distributed systems or data platforms. Proficiency in Python, SQL, Java , and modern data processing frameworks. Experience working with cloud-based AI/ML ecosystems , particularly AWS SageMaker (required). Understanding of monitoring frameworks , observability pipelines, and dashboards. Familiarity of event-driven architectures and messaging systems (Kafka, Vert.x ...

play a critical role in the Design, development and deployment of AI/MI and Data solutions Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain A collaborative, supportive culture that encourages innovation and professional development Hybrid working with three days in the London office … with Azure) Experience with large language models (LLMs), retrieval-augmented generation (RAG) Previous experience with Databricks Experience working on Data Science/AI/ML solutions into production environments Excellent communication skills with the ability to simplify complex concepts for non-technical stakeholders A proactive, collaborative mindset and the ability ...

pipelines and monitoring systems to track: AI model performance and drift Operational resilience and service health Security posture and policy adherence Guardrail compliance for ML and GenAI Aggregated risk indicators and governance metrics Ensure end-to-end observability across model development, deployment, and runtime operations. Embed secure-by-design principles … 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 ...

Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building … innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant ...

lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a "Full Stack" Partner: While the backend/data … applications using Foundation Models/LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn ...

Excel: advanced formulas, Pivot tables, Power Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows. Proven track record integrating disparate systems post … level. Project management experience. Qualifications Degree in a quantitative field (or equivalent experience). Microsoft certifications (DP-203, PL-300) advantageous. Evidence of continuous learning in data engineering, BI, and AI. What we offer Competitive salary commensurate with level of experience Hybrid working options considered following training & probation completion ...

PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed systems handling massive datasets. Deploy and monitor ML models in production environments using Vertex AI, Docker, and Kubernetes. Required Skills & Experience Strong proficiency in Python for AI/ML workflows . Strong proficiency … . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales-tech ...

cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed systems handling massive datasets. Deploy and monitor ML models in production environments using Vertex AI, Docker, and Kubernetes. Required Skills & Experience Strong proficiency in Python for AI/ML workflows . Strong proficiency … . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales-tech ...

Essential skills: 15+ years overall in software/solution architecture with 7 + years in cloud (Azure) and 5 + years in AI/ML or Azure AI solutioning. Proven experience leading production-grade solutions using Azure OpenAI , Azure AI Foundry , Azure AI Document Intelligence, Azure Data Factory, Azure ML ...

provide technical mentorship. Reporting to the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance. Troubleshoot and resolve complex issues quickly, ensuring platform reliability and uptime. Skills and Experience 8+ years of commercial software development experience. … delivering high-quality software under tight timelines. Strong communication skills, able to motivate and align technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: exposure to startup environments. What We Offer Hybrid working as standard (minimum 3 days a week in office) 25 days annual ...

strategic and has experience of PowerBI, Fabric, Power Apps ideally with exposure to Cognos TM1, SQL, DAX Power Query, data manipulation and querying, ML/AI and Qlik would be beneficial to create robust and scalable BI solutions. Data and Analytics Manager to join our team in Wardle. Reporting directly … least 5 years in Data Analytics, with 2+ years in a management role (ideally within a mid-sized enterprise rather than a rigid corporate machine). Technical Chops: Proficiency in SQL , and ideally Python or R , with a deep understanding of data warehousing and ETL processes. Platform Expertise: Solid ...

Senior Software Engineer (or equivalent) on complex software projects. Strong hands-on experience with AWS services, particularly Amazon Lex and other AI/ML services. Advanced proficiency in TypeScript and modern JavaScript development. Solid understanding of DevOps methodologies and tooling, including CI/CD, serverless technologies, and monitoring solutions. Experience … with the ability to work autonomously in a contract environment. Excellent verbal and written communication skills. Desirable Experience Experience with additional AWS AI/ML services. Familiarity with serverless architectures and microservices-based systems. Knowledge of cloud security best practices. Experience working in agile delivery environments. Modis International Ltd acts ...

next generation of our products. The Products You'll Work On Sherlock - AI Driven Legal Case Analysis Transforming litigation preparation through automated case ingestion, ML powered reasoning, and structured output creation. RFP Service - AI Powered Tender Response Automation A platform that uses an evolving corporate knowledge base to automate … team Strong full stack capability: Front end: TypeScript, React, Tailwind Backend: Python Databases: Supabase, PostgreSQL, or similar Hands on experience with AI/ML tooling : embeddings, LLM libraries, vector databases Familiarity with AI assisted development tools (Cursor, Claude Code, etc.) Background in a startup, consulting firm, or mature engineering environment ...

next generation of our products. The Products You'll Work On Sherlock - AI Driven Legal Case Analysis Transforming litigation preparation through automated case ingestion, ML powered reasoning, and structured output creation. RFP Service - AI Powered Tender Response Automation A platform that uses an evolving corporate knowledge base to automate … team Strong full stack capability: Front end: TypeScript, React, Tailwind Backend: Python Databases: Supabase, PostgreSQL, or similar Hands on experience with AI/ML tooling : embeddings, LLM libraries, vector databases Familiarity with AI assisted development tools (Cursor, Claude Code, etc.) Background in a startup, consulting firm, or mature engineering environment ...

looking for a Senior Security Consultant with deep expertise in cybersecurity and practical experience in securing AI/ML systems. In this role, you will help clients navigate the rapidly evolving threat landscape of artificial intelligence. You will work across strategy, architecture, and hands-on technical analysis to design resilient … systems for high-impact environments. Key Responsibilities AI/ML Security Oversight: Evaluate and secure the entire AI lifecycle, including model governance, data pipelines, and deployment patterns. Threat Modeling: Conduct advanced security assessments and risk analysis across cloud, on-premise, and hybrid environments. Risk Mitigation: Advise clients on emerging ...

technical depth with meaningful impact, this is the role for you. What You'll Do: Lead data science projects from scoping to deployment Apply ML and statistical methods across varied data types Collaborate with ML engineers to productionise models Communicate insights to technical and non-technical stakeholders Mentor junior team … members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation Understanding of Responsible AI principles ...

data quality metrics, including coverage, freshness, accuracy, enrichment value, and signal-to-noise ratio. Translate intelligence needs into technical requirements for data scientists, ML engineers, and pipeline developers. Collaborate with Threat Intelligence and Data Science leadership to identify and deliver high-impact data and analytics capabilities. Prioritize ingestion and analysis … customer-facing initiatives. Establish data quality frameworks and observability standards to ensure transparency and trust in intelligence outputs. Champion innovation in AI/ML-based data collection and analysis, exploring emerging approaches in multimodal analytics and LLM-driven extraction. What You'll Bring: Data-Driven Product Thinker with experience managing ...

secure coding standards. Collaborate with the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance within the team. Troubleshoot and resolve complex technical issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 8+ years of commercial … design. Hands-on experience with AWS platform. Excellent communication skills, capable of motivating and aligning technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: Exposure to startup environments. Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank ...