526 to 550 of 640 Remote/Hybrid Machine Learning Jobs

partnership with program leaders, the SVP for Research, Innovation, AI, and People & Culture, and the T4P demand pipeline.Stay at the edge of AI/ML advances — particularly in agentic systems, multimodal models, and edge/on-device inference — and bring promising approaches to IRC's programs.Serve as a core member … incorporating appropriate redundancy, security, backup, and recovery strategies — including for sensitive humanitarian data.Research and recommend technology products, services, and standards — particularly in AI/ML — to support procurement, development, and strategic decision-making.DevOps and Engineering OperationsOversee deployment pipelines, CI/CD automation, infrastructure-as-code, and QA processes to ensure ...

them most productive. At Satalia, your opinion matters and your achievements are celebrated. The Role You will be responsible for creating enterprise‐quality AI, ML, and Data Science based solutions. You will be involved in technology selection, API design, and establishing core patterns within our products and client projects. … with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Creating serverless solutions to execute data science and ML models Creating cloud IaC deployment code Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QA Engineers Understanding and relating customer/ ...

driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python … Terraform, APIs, CI/CD beneficial) Experience working in Business Intelligence/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/ ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction … demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini ...

offerings.Providing technical leadership across key domains in data and AIDemonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies and industry … hear from you.Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environmentsExperience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerationsDemonstrated experience advising senior stakeholders and building trusted relationships across business and technology ...

Providing technical leadership across key domains in data and AI*** Demonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies … you.* Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environments* Experience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerations* Demonstrated experience advising senior stakeholders and building trusted relationships across business ...

business outcomes. Key responsibilities Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

served Leveraged AI‐assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices … balance technology choices while delivering high‐quality work within deadlines Contributing to architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non‐technical) in partnership ...

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 ...

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 ...

someone to and come expertise in Databricks, the other Microsoft Fabric. You’ll lead the architecture of Lakehouse solutions supporting advanced analytics, AI/ML, and business intelligence, working closely with clients to shape data strategies and deliver real business value. This is a UK‐based role (Edinburgh, Manchester … Permanent What you’ll do Demonstrate deep expertise in enterprise-level data analytics solutions end-to-end, with a focus on Lakehouse Architecture and ML/AI-driven analytics. Design scalable data models and pipelines using Spark, Delta Lake, and PySpark. Lead client engagements, shaping data strategies and best‐practice ...

Responsibilities Evaluate emerging AI technologies with a clear focus on practical applicability and deployability. Investigate, develop, fine‐tune, evaluate, and benchmark AI/ML models. Design, build, and iterate on working prototypes, proof‐of‐concepts, and pilots. Assess AI approaches for scalability, reliability, cost, security, and operational feasibility. Make … present actionable recommendations to technical and non‐technical stakeholders. Mentor and coach junior team members. Essential Requirements 12+ years of experience in AI/ML engineering, or equivalent industry experience with at least 4 years in a technical lead position. Bachelor’s degree in Computer Science, AI/ML, Engineering ...

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 ...

just proofs‐of‐concept. Expert‐level proficiency in Python is a must‐have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full‐stack development experience is a distinct advantage. Extensive hands‐on experience with Generative AI concepts, Large Language Models (LLMs … comfort and practical experience with containers and orchestration technologies, specifically OpenShift. Demonstrated ability to architect, develop, and deploy highly performant, large‐scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL ...

have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses Experience building production‐grade ML pipelines Experience using infrastructure as code (Terraform, Cloud Formation, or other) Experience using CI/CD principles. You don’t need to tick off everything … this list – so don’t let that hold you back from applying. We want to make sure you’re learning plenty during your time with us! Our commitment to you We are dedicated to developing valuable, inclusive, and user‐friendly products and services that deliver positive outcomes ...

Here’s a snapshot of what your life at PEXA could look like:****Your growth:**We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools.**Your wellness:**We care about your holistic wellbeing**Your work/life blend:**We know … Have*** Experience in financial services, property technology, or regulated industries* Experience leading distributed teams across multiple locations and time zones* Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot* Experience with modern data platforms: Databricks, Snowflake, dbt* Background in DevSecOps or platform engineering #J-18808-Ljbffr ...

based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools … Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable ...

experience with a strong record of designing and delivering complex technical solutions. Essential: Deep technical expertise across cloud‐native architecture (GCP preferred), AI/ML integration, API design, data engineering, or automation. Essential: Proven ability to operate as a senior individual contributor in fast‐moving, ambiguous, high‐stakes environments. Essential … cover and dental insurance, plus many more. Matched pension contribution up to 10%. Access to our car benefit scheme. Access to our online learning platform to continue to develop and grow your career with us. The chance to join an innovative, fast‐paced and passionate team. Liberty Global ...

them confidently and consistently. Architecture Governance & Standards Define our architectural governance model for agentic SDLC from the ground up, encoding standards and principles as machine-readable context that agents consume at the start of development, so architectural alignment is built in rather than bolted on. Build the policy … stakeholders. Desirable Experience with .NET Core/C# or Java backend codebases — web APIs, data access patterns, and service composition. Experience integrating AI/ML capabilities into product architectures — LLMs, Azure AI services, or similar. Familiarity with any of: Domain-Driven Design, NoSQL databases (e.g. CosmosDB), stream processing, or CQRS ...

other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen yourexpertisethrough oura culture of learning and growth –you’llhave budget to take courses (technical and non-technical training), plus gain certifications Responsibilities As aData Architectyou willhelp drive data … right task, youwill beexpectedtoarchitect solutionsforsomeoffollowing technologiesand capabilitiesto ensure scalable, high-performance applications: Multi-cloud,datawarehousingand datalakeplatforms Datamanipulation,integrationand ingestiontechnologies Programming/scriptinglanguages ML/AI frameworks Infrastructure & DevOpsconcepts andtooling, Semantic models and metrics layers Datagovernance tooling As a Principal Consultant, you will be expected to: Operate at a strategic ...

do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across product, commercial and operations through experimentation, causal inference and machine learning. From optimising rider dispatch to personalising customer journeys and forecasting demand at scale, we turn complex data into measurable business impact. We’re looking … Engineering (Tech Leadership Team) About Our Analytics Organisation We have an outstanding analytics organisation, with a mission to enable the highest quality human and machine decision‐making. We work throughout the company, in product, business and platform teams and are uniquely placed to use data to help make better ...

across API led, event driven and microservices patterns Guide teams on data architecture, domain models, data flows and data contracts See opportunities where AI, ML or GenAI can bring meaningful improvements to optimization, automation or insight generation Partner with senior business and technology interested parties to translate business needs into … engineering teams Desirable criteria: Proven experience in oil trading or biofuels compliance Exposure to optimization or compliance driven environments Practical experience with AI, ML or GenAI Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened ...