226 to 250 of 635 Remote/Hybrid Machine Learning Jobs

operational readiness: testing strategy, CI/CD, release notes, production deployment governance, and incident/root-cause management. Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have ...

requirements into robust software solutions. Champion software engineering best practices: documentation, testing, version control, and security. Evaluate and adopt emerging technologies, including AI/ML tools, to improve developer productivity and system capabilities. Contribute to grant applications, publications, and presentations relating to software infrastructure where appropriate. You have Degree ...

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 ...

Senior/Principal Data Scientist (ML/NLP/LLMs) Manchester (Hybrid – typically 3 days, flexibility available) £75,000 – £100,000 + Equity (EMI) Why This Role Stands Out: This isn’t a team bolting AI onto an existing product. This is a business built around it. … applied across the business, and take real ownership of outcomes. You won’t just be executing tickets. You’ll be: Defining how ML and LLMs are used in production Challenging assumptions and improving existing approaches Influencing product direction through technical insight Helping build the foundations of a world class ...

Desirable Experience with AWS, Azure, or Google Cloud Docker and Kubernetes experience Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects or mentoring engineers What We Offer Competitive salary and performance bonus Flexible and hybrid working … arrangements Private healthcare Pension contribution Learning and development budget Modern equipment and tools Clear progression opportunities into Lead and Principal Engineering roles Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy. ...

best practices Deploy and manage data solutions across the development lifecycle Work across multiple squads on varied engineering problems Collaborate with data, platform, and ML engineers on new capabilities Opportunity to gain exposure to data modelling and machine learning projects YOUR SKILLS AND EXPERIENCE: Experience with Python ...

pricing engine that balances customer demand against financial risk across dozens of partners — including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale. About the Role As a Software Engineer … across the partner portfolio Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment Monitor production systems for latency, drift, and training-serving skew, optimising continuously ...

including transactional/EPOS, digital, retailer, social, loyalty etc Delivery Excellence - Experience developing and implementing insight solutions, MarTech/data driven CX solutions or ML/AL solutions. Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions. … with the ability to communicate complex ideas clearly to stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail ...

Supporting the development of AI driven code and infrastructure security analysis What you'll bring: * Strong software engineering background with experience building AI/ML-powered systems * Experience working with modern machine learning frameworks and model development * Experience building scalable data pipelines or AI infrastructure * Strong programming skills ...

spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees … Microsoft Fabric and/or Databricks Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components Excellent communication and problem solving skills All candidates must be eligible for Security Clearance. Diversity ...

logging Comfortable operating in fast-paced, product-led environments Nice to Have Experience with RAG pipelines, vector databases, or AI agents Exposure to machine learning workflows and applied AI systems Experience building internal AI platforms, copilots, or automation tools Startup or scale-up experience Why Apply? Join ...

communication skills Experience operating within Agile delivery environments Desirable Experience Microsoft Fabric Power BI development PySpark REST API integrations Lakehouse architectures AI and Machine Learning platforms Retrieval Augmented Generation (RAG) Vector databases Generative AI solutions Power Platform technologies Data transformation or modernisation programmes What We're Looking ...

Athena, Redshift, EC2, CloudWatch, IAM) and event-driven patterns. Certifications (nice to have) AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services). This role requires additional vetting, which means this could take longer than our normal onboarding process. All profiles will be reviewed ...

house cloud‐based solutions and visualization technologies. Knowledge of OWASP, ETL, event streaming, and reference and product data technologies. Experience with AI/ML, sophisticated analytics, and enterprise collaboration. Familiarity with CDN, microservices, Apigee, and serverless architectures. Experience with VMware, OpenStack, Docker, Kubernetes, Istio. Benefits A generous pension contribution ...

compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with ...

Design, develop, and deploy AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Build and refine LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations. Collaborate with clients to understand requirements ...

following, NetScaler Apigee, Cloudflare, Akamai, Kubernetes networking Experience with edge computing or hybrid cloud Familiarity with FinOps or cloud cost optimization AI/ML infrastructure support (e.g., MLOps pipelines) About Us Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong ...

most critical artificial intelligence and machine learning initiatives. You will oversee the end‐to‐end delivery of programs that embed AI/ML models and advanced data analytics into our core credit risk decisioning and management processes. This strategic role requires a blend of program management discipline … sophisticated understanding of the AI/ML lifecycle, and deep expertise in the credit risk domain. You will act as the key bridge between data science, technology, business, and control functions to ensure changes are delivered responsibly and effectively. What’s on Offer Hybrid Working – we understand that employee expectations ...

with Product and Engineering teams Support rapid experimentation and innovation by providing pragmatic, risk‐based guidance that enables delivery at pace Advise on AI, machine learning, and data‐driven products, including governance, risk assessment, and responsible data use Work closely with Legal, CISO/Security, and Data teams … reduce carbon emissions, extra festive time off, and excellent family‐friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Our hybrid working model requires Trainliners to be in the office at least 60 % of the time over ...

organisation, which will provide insights into how we operate, and the collaborative environment you’ll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you’ll have access to mentors and subject matter experts … encouraged every step of the way, becoming an integral part of our innovative team. We’ll provide the space and resources for continuous learning, experimentation, and improvement – with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real‐world projects supported ...

client pitch contribution, client hosting at events.* Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development.* Learning & development – Build team capability by offering development opportunities that strengthen professional growth and prepare the team for future skill demands.* Training to support your … translating operational systems into models.* Strong programming proficiency in Python (or similar languages) for data manipulation, automation, integration and working with AI/ML libraries.Demonstrated proficiency in at least one of the following:* + Modelling, Simulation & Digital Twins + Optimisation + Machine Learning, Data Science and applied ...

Principal Machine Learning Engineer to lead the development of cutting-edge speech solutions. The role focuses on developing and deploying advanced ML models, mentoring engineering teams, and defining the technical vision for their ML stack. Candidates should have a strong understanding of modern ML frameworks, proven experience ...

communication skills Desirable Skills React/TypeScript frontend experience Infrastructure as Code GraphQL/AppSync Event-driven architectures IoT/edge systems AI/machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team ...

Tableau Strong experience in data modelling, transformation, ETL/ELT pipelines and data warehousing Awareness or experience with Big Data, Data Science, AI or Machine Learning technologies Excellent communication, problem‐solving and stakeholder management skills Additional Information Applicants must hold active Security Clearance or be eligible to obtain ...