476 to 500 of 2,586 Remote/Hybrid Machine Learning Jobs

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

driven software business operating within the RegTech and compliance space, helping large organisations manage risk across digital communications. Their products leverage NLP, machine learning, and LLMs to analyse large volumes of unstructured data across text, voice, video, and collaboration platforms. The Role Own NLP and AI projects from … Machine Learning, AI, Computer Science, Linguistics, or a related quantitative field Commercial experience building and deploying NLP or ML solutions into production Strong understanding of both traditional NLP methods and modern LLMs Experience taking products from research or prototype stage through to production Strong Python and software engineering ...

programmes; be equally comfortable setting multi-year direction and getting into the weeds of a sprint review.Drive production quality - build rigorous engineering practice for ML systems relied on for customer-facing deliverables; champion rig-agnostic, generalisable architectures with clean interfaces; hold the line on architectural quality in a fast-moving … success as a Staff Tech Lead Manager at Wayve, we're looking for the following skills and experience.Essential 8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping production ML systems from research through to reliable ...

complex asynchronous training workflows. We're looking for a systems‐level engineer who wants to work on the gnarly, foundational problems of a production ML platform. You'll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model … about building the infrastructure that makes it all possible. Our core platform is written in Rust for performance, correctness, and fearless concurrency. ML models and services are primarily in Python. If you're intrigued by the challenges of the software/hardware interface, OS‐level optimization, and building robust, multi ...

system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact Experience leading, coaching or managing data scientists, ML engineers or closely ...

design, embedding modern AI and analytics patterns into enterprise data platforms and services.Maintain an active awareness of emerging trends in data architecture, AI/ML, and enterprise technology, assessing their potential impact and value for Cigna, advising senior leadership on AI strategy, feasibility and adoption paths.AI ArchitectureDefine architectural patterns … field.10+ years of experience building and architecting large-scale software or AI systems in medium-to-large enterprises.5+ years of experience with AI/ML, NLP, or Generative AIExperience working in regulated or compliance-sensitive environments (e.g., healthcare, finance, insurance, global enterprises).Strong communication skills with the ability to influence ...

Devoteam promotes responsible tech for people and works to create better change. Creative tech for Better Change.Job DescriptionLead Consultant UK | GCP | Data & AI/ML Architect (Google Professional Cloud Architect)Company DescriptionOur mission is to build cultures of innovation at companies by transforming the way they work and by elevating … within Europe’s top companies, then, keep on reading to see what we have to offer!Job DescriptionAbout the roleAs a Data & AI/ML Architect at Devoteam G Cloud UK, your mission is to help our existing customers get the best out of GCP by:Conducting GCP Data Architecture ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent. What … high-quality decisions and build a compelling roadmap. Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent. … high‐quality decisions and build a compelling roadmap. Work side‐by‐side with a world‐class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade‐offs, and turn advanced AI capabilities into ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we’re expanding this team with product managers who will define the future of Fin AI platform and AI agent.As … make high-quality decisions and build a compelling roadmap.Work side-by-side with a world-class AI team. You’ll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you’ll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into ...

RedTech Recruitment is seeking a Machine Learning Research Engineer to research and implement new NLP/LLM approaches for a leading machine-learning software company in Cambridge. This role suits candidates with a Ph.D. in CS, Physics, Maths or related fields and a strong NLP/ML background. You will join a team focused on cutting-edge research, prototyping innovative concepts, and evaluating output quality. The position is hybrid (3 days ...

infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ...

Audio Programmer Ltd is seeking a Machine Learning Researcher to join their voice technology team in Paddington, United Kingdom. The role involves researching and developing innovative noise cancellation technologies and implementing deep learning models. Candidates should have a strong background in AI and real-time audio machine learning, with a PhD or MSc in a relevant field. The position offers a hybrid working arrangement with 2-3 days per week at the Central London R&D centre. #J-18808-Ljbffr ...

complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration.The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement.**Key Responsibilities****Cloud … Information*** Hybrid working available from North Wales or Crawley.* Opportunity to work across both Viridien and client cloud environments.* Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms.**Why work with us?*** Competitive salary commensurate with experience* Highly attractive bonus scheme* Hybrid ...

problems no one has cracked yet-and you will play a central role in designing, implementing, and deploying advanced AI/ML methodologies and production-grade systems. Your work will be held to the scrutiny of energy analysts, traders, operationsteamsand regulatory stakeholders, and must meet the performance, reliability and robustness … projects across Data Science, Machine Learning and AI, whileremaininghands-on and capable of building and deploying production-grade models. Deeply grounded in ML/AI: strong in the theoretical and mathematical foundations of the field, with the ability to engage critically with current research and emerging methodologies. Engineering ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self‐development. You have experience of working on agile delivery‐lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

collaborating closely with architects, AI specialists and client stakeholders. You'll play a key role in delivering production-grade data platforms that support analytics, machine learning and AI workloads across industries including financial services, retail and the public sector. Alongside client delivery, you'll contribute to engineering best … scalability and cost efficiency. Collaborate with architects and customers to translate business requirements into production-ready data solutions. Support integration with downstream analytics, BI, machine learning and AI workloads. Contribute to CI/CD pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

concepts into scalable production systems while collaborating with internal engineering and product teams to drive innovation. Strong candidates will have experience deploying AI/ML solutions in production environments, working with large language models (LLMs), and supporting enterprise customers through complex technical implementations. Key Responsibilities Enterprise AI Solutions Lead technical … product roadmap discussions. Collaborate internally to improve deployment processes and customer success. Required Qualifications 3+ years of experience in customer-facing AI/ML, machine learning infrastructure, solutions engineering, or related technical roles Proven experience deploying AI/ML applications into production environments Hands-on experience with large ...

others. We’ve been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner … Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page. Role - AI Engineer Location: Europe (Madrid, Spain preferred ...

problems no one has cracked yet - and you will play a central role in designing, implementing, and deploying advanced AI/ML methodologies and production-grade systems. Your work will be held to the scrutiny of energy analysts, traders, operations teams and regulatory stakeholders, and must meet the performance, reliability … Data Science, Machine Learning and AI, while remaining hands-on and capable of building and deploying production-grade models. Deeply grounded in ML/AI: strong in the theoretical and mathematical foundations of the field, with the ability to engage critically with current research and emerging methodologies. Engineering ...

platform. What you'll do You’ll be involved across the full AI lifecycle, including: Exploring and understanding complex datasets Designing and training machine learning models Building AI-powered applications Writing clean, maintainable Python code Working closely with Engineering to deploy production systems Collaborating with Product and Operational … people who enjoy solving difficult technical problems, learn quickly and care about building high-quality software. You’ll bring experience in: Python SQL Machine Learning Cloud platforms such as AWS Working with large datasets Production software development Experience with any of the following is useful, but not essential ...

skills with experience working within multidisciplinary teams. Desirable skills and experience Experience processing/analysing Earth Observation or remote sensing data. Exposure to AI, Machine Learning or GeoAI applied to spatial data. Experience with raster processing, vector tiling or spatial ETL workflows. Experience working with Geographic Foundation Models … GeoFMs), large geospatial AI models or multimodal spatial machine learning would be advantageous. Experience working within consultancy environments and engaging directly with clients. Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or Terraform. Understanding of the Government Digital Service Standard and Technology Code of Practice. Senior ...