401 to 425 of 633 Remote/Hybrid Machine Learning Jobs

mindset with a passion for building high-quality technologyDesirable Experience * Life Science or regulated industry experience * GDPR and data security knowledge * AI/ML integrations or personalisation systems * SaaS or startup experienceWhat's On Offer * £80,000 - £90,000 salary * Hybrid working (office 2-3 days per week) * 30 days ...

mindset with a passion for building high-quality technology Desirable Experience Life Science or regulated industry experience GDPR and data security knowledge AI/ML integrations or personalisation systems SaaS or startup experience What's On Offer £100,(Apply online only),000 salary Hybrid working (office 2-3 days ...

Solid experience configuring and administering Nagios monitoring platforms. Practical experience with streaming telemetry technologies including gNMI, gRPC, Telegraf, and gNMIc. Exposure to AI/ML-driven monitoring, analytics, or anomaly detection solutions. Strong understanding of networking fundamentals including TCP/IP, BGP, OSPF, VLANs, and optical networking technologies. Ability ...

Solid experience configuring and administering Nagios monitoring platforms. Practical experience with streaming telemetry technologies including gNMI, gRPC, Telegraf, and gNMIc. Exposure to AI/ML-driven monitoring, analytics, or anomaly detection solutions. Strong understanding of networking fundamentals including TCP/IP, BGP, OSPF, VLANs, and optical networking technologies. Ability ...

story‐telling and writing skills. Expertise in GTM strategy, segmentation, ICP development, positioning and value messaging. Experience partnering with technical, engineering or AI/ML teams to commercialise complex technology. Strong analytical skills and comfort working with ARR, pipeline, buying signals and performance dashboards. Strong command of verticalised GTM models ...

improvement of system reliability Qualifications Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding ...

security and threat modelling – securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high‐traffic production systems AI/ML security and vulnerability research – understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI‐specific threat vectors through hands‐on testing Security automation ...

control (C2) solution to protect against the persistent and escalating threat from drones while enabling “good” drones to fly. By leveraging AI/ML, Dedrone provides continuous, autonomous interrogation and verification of drones that enables both multi‐sensor and multi‐mitigation options onto a single fused “pane‐of‐glass”. ...

story-telling and writing skills* Expertise in GTM strategy, segmentation, ICP development, positioning, and value messaging* Experience partnering with technical, engineering or AI/ML teams to commercialise complex technology* Strong analytical skills and comfort working with ARR, pipeline, buying signals and performance dashboards* Strong command of verticalised GTM models ...

security and threat modelling** - securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high-traffic production systems* **AI/ML security and vulnerability research** - understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI-specific threat vectors through hands-on testing* **Security automation ...

impactful, analytically-deep, fact-based research. Specific topics will be Agentic analytics, Decision Intelligence, AI Engineering, Content Management, Analytics and BI, Data Science and Machine Learning.Provide clients and prospects with actionable analytics & AI-centric advice via virtual or face-to-face interactions.Create and deliver presentation materials for Gartner events ...

Test Triangle Ltd is looking for a Machine Learning Prototyping Engineer based in London, UK. The role involves taking undefined problems and quickly developing proofs of concepts (PoCs) and prototypes, transforming ideas into working solutions in a fast-paced environment. The ideal candidate will have strong Python skills ...

PEOPLE, a rapidly growing startup in St Albans, is seeking a Machine Learning Engineer to build AI products and automate customer processes. The ideal candidate has 5+ years of experience and strong Python expertise. Your role will involve collaborating with clients to innovate AI solutions, ensuring product delivery ...

including ingestion, lakehouse/warehouse, semantic models and analytics layers. Architect solutions using Azure and Microsoft Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider data ecosystem to support predictive and generative use cases. Provide Technical Leadership & Delivery Assurance Produce roadmaps … experience architecting solutions on Azure and/or Microsoft Fabric (e.g., Lakehouse, Data Warehouse, Synapse, Data Factory, OneLake). Solid understanding of AI/ML solution patterns, including integration with modern data platforms. Proven ability to run workshops, lead design engagements and simplify complex concepts for diverse audiences. Strong consulting ...

rapidly scaling mobile app and a strong reputation for customer-centric product design. After significant growth, they are now investing heavily in AI and ML for the first time and are building out new capabilities to deliver more personalised, context-aware experiences. You will join a collaborative product organisation based … London, working closely with engineering, data and decisioning teams. The Role You will: * Define where and how AI and ML can be applied across the customer journey to drive personalisation and intelligent guidance. * Lead end-to-end product management, from problem identification through to delivery and measurement. * Provide strategic direction ...

customer facing setting Passion for technology and a desire to grow and contribute to the Databricks community Deep familiarity with Databricks features including AI, ML, Engineering and Analytics features 7+ years consulting (or equivalent) experience required 7+ years Databricks solution design, implementation, engineering experience required Either 5+ years building data … Databricks using PySpark, Scala and/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering or AI Engineering deploying, promoting and serving ML models, building feature stores, building RAG chatbot or other AI systems Hands on, working, knowledge of Databricks ...

Stakeholder Influence Excellent stakeholder management skills, with the credibility and confidence to challenge, influence, and advise senior technical and non-technical stakeholders. Technology Advocacy & Learning A proactive technical advocate and continuous learner, staying current with emerging technologies and innovation, and encouraging the same mindset within the team. Mentorship & Technical … Purpose : you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

seeking an AI Engineer to design and develop GenAI-powered chatbot experiences and RAG pipelines. The ideal candidate will have substantial experience with machine learning and robust programming skills, particularly in Python. This hybrid role allows flexibility with two days in the office per week, based at Osterley. ...

PhysicsX Ltd in Greater London is seeking candidates for a research-focused position that combines machine learning and physics to solve engineering challenges. The role requires a PhD and over 4 years of experience in data-driven roles. You will collaborate with engineers to develop predictive models, communicate ...

Data Science located in Edinburgh. In this pivotal role, you will lead a multi-disciplinary data science team and ensure the delivery of machine learning solutions that drive measurable outcomes. You'll blend strategy and execution while fostering a high-performance culture within the team. The ideal candidate ...

through advanced analytics and AI. Experience working with senior business leaders and C-suite stakeholders. Expertise in areas such as forecasting, optimisation, pricing, risk, machine learning, or AI systems. Commercial mindset with the ability to lead, influence, and grow client relationships. Why Join? This is an opportunity ...

kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream ...

kind of pricing infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...