901 to 925 of 1,512 Machine Learning Jobs

consultative approach with clients to win new work. Proven experience delivering AI solutions in complex environments. Strong technical knowledge of AI for example, Machine Learning, AWS AI, Azure AI, GenAI and Agents. Experience with digital assistant solutions enhanced by AI such as Microsoft Copilot. Demonstrable experience with Retrieval ...

secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. ...

event-driven architectures Strong consulting and stakeholder management experience, with the ability to bridge business and technical teams Knowledge of AI/ML enablement platforms and supporting infrastructure such as AWS SageMaker Strong leadership, communication, delivery governance, and programme management capabilities If this sounds you, please apply ...

background • Ability to build trust and confidence with senior stakeholders • Experience delivering AI solutions into production • Strong Python engineering fundamentals • Azure AI Foundry, Azure ML, Databricks, SageMaker, Bedrock, or similar • MLOps, CI/CD, observability, and production AI delivery • Experience leading teams, workshops, and technical discussions You’ll be: • Leading ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary You’ll help design, build, and deploy AI-powered applications using both traditional ML and modern LLM tooling. Projects include AI sales assistants, underwriting automation, internal summarisation systems, and workflow efficiency tools. Key Responsibilities • Build and deploy production-grade ...

Factory. Snowflake Toolkit: Hands-on with Snowpipe, Streams, Tasks, Dynamic Tables, and Stored Procedures. Nice to Have: Exposure to DBT, Snowpark, Snowflake AI/ML, Airflow, and Snowflake administration (RBAC, warehouse sizing). Mindset: Strong problem-solving abilities with an ownership mindset for end-to-end delivery. This ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

SaaS/PaaS, Prompt Engineering, Agentic Workflows, Platform Systems, Remote (UK) *PLEASE READ BEFORE APPLYING* Proven experience in designing, deploying, and scaling AI/ML systems is essential. You must also be willing to collaborate on-site as needed and engage closely with cross-functional teams to deliver high-impact ...

Analysts, and commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. ...

27001. Understanding of healthcare data protection, ideally NHS/UK standards. Strong incident response, analytical, and problem-solving skills. Knowledge of AI/ML risks and AI governance. Experience with phishing campaigns, penetration testing, and remediation. Excellent communication skills across technical and senior stakeholder groups. Organised, proactive, and committed ...

Operational Resilience , and the EU AI Act . AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool-use, and non-deterministic agent logic. Security Frameworks: Proficiency in OWASP LLM Top 10 and NIST AI RMF . ...

pharma, biopharma, or large-scale manufacturing/supply chain./li li Strong technical fluency: data engineering & pipelines, cloud platforms, data science & AI/ML product delivery, MLOps/DataOps principles./li li Skilled at influencing product direction across cross functional, multi-region teams./li li A strategic ...

databases and caching technologies such as PostgreSQL and Redis Nice to Have Experience building cybersecurity or threat detection platforms Exposure to AI/ML security challenges and AI-driven security tooling Experience with Kafka, Pulsar, Splunk, or real-time streaming systems Golang expertise Experience contributing to open-source projects ...

JavaScript frameworks - REACT Backend: Python (or GoLang) Database: SQL-based systems Cloud: GCP ideally but open to other cloud providers Exposure to AI/ML and modern data tooling - BONUS What They're Looking For Experience building full stack applications - React, Python or GoLang Strong data and SQL fundamentals Exposure ...

Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...

accelerators, and reusable frameworks as the CoE scales What We’re Looking For Minimum 3 years’ experience building and deploying Generative AI or applied ML systems Strong hands-on engineering background – you actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines ...

ability to work independently across multiple concurrent projects Desirable Experience with MACH architecture applications Omni-channel commerce experience Exposure to customer lifecycle management, CDP, ML, or data lakes Knowledge of search, SEO, web analytics, order management, payments, or fulfilment Familiarity with CMS, DAM, PIM, or inventory management platforms Understanding ...

auditability, or regulated environments. Experience integrating LLMs with external tools, APIs, databases, code execution environments, or analytical engines. Desirable: publications (at main NLP/ML/AI conferences ...

Professional insurance designations (CPCU, AIC, or similar) Experience with API-first architectures and system integrations Knowledge of InsurTech trends including automated underwriting, Gen AI & ML applications, and digital distribution channels Understanding of actuarial concepts and rating algorithm implementation Experience with cloud-based Insurtech solutions and SaaS/PaaS delivery models ...

platforms, or digital assistant products. Strong understanding of LLMs and AI-driven product value drivers. Experience collaborating closely with engineering teams on AI/ML-based solutions. Excellent communication, stakeholder management, and problem-solving skills. Preferred Qualifications Hands-on familiarity with prompt engineering, context management, and system instruction design. Experience ...

with the ability to challenge convention. Strong understanding of automation, workflow optimisation, and process re-engineering. Ability to translate complex ideas (including AI/ML concepts) into simple, clear language. Experience working in agile product development environments. Desirable Experience working in regulated environments or with legal workflows. Thorough understanding ...

benefit: Image Processing Algorithms : Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms : Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain …/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play ...