776 to 800 of 2,614 Remote/Hybrid Machine Learning Jobs

full lifecycle of your work, from data collection and modelling through prototyping, coding, and delivery to production. You’ll apply both classical ML and modern LLMs to the problem and develop new methods to address it. You’ll work closely with product, other engineering teams, and customer-facing teams … shipping models that made it to production and stayed there. Deep understanding of machine learning fundamentals. Hands-on experience with both classical ML and modern LLMs. Experience with noisy, real-world data. Solid software engineering fundamentals. Experience with software processes in a multi-developer environment: requirements, demos, source ...

government client is looking for candidates who have at least one production AI/ML implementation, recent experience with AWS data services, Terraform, CI/CD, Python, and SQL. Candidates should have more than five years of overall experience and meet the other requirements outlined in the attached JD. Inside … data from various sources into the data infrastructure. Optimize data processing and storage for performance and cost-effectiveness. AI: Develop and deploy AI/ML models into production environments. Build scalable inference pipelines and AI APIs. Implement MLOps workflows for model versioning, monitoring, and retraining. Collaborate with data scientists ...

foster external collaborations with academic and industrial partners Follow scientific and technical standards for experimentation, reproducibility, and model evaluation Collaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to users Qualities we look for We’re looking for a scientist with a deep … Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results. Expertise ...

products and services. Working alongside Platform, Data and Product teams, you'll help deliver scalable, secure and high-performance data solutions that enable analytics, machine learning and AI across the business. If you enjoy solving complex technical challenges, working with modern cloud technologies and building robust data platforms … service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine. Learning & Development - Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth. Health & Wellbeing ...

have a significant level of influence on the product and technical direction of security and code review products at GitHub. We value learning, introspection and reflection, and we’re always looking for ways to improve as a team and as individuals, so candor and a culture that values safety … operate and automate software lifecycle, such as Continuous Integration pipelines, release automation and Continuous Deployment, offline evaluation tools, CLI tools, or IDE extensions. OR Machine learning and AI applied to understanding source code, specifically building systems that use large language models (LLMs) to generate or reason about code ...

projects Excellent communication and presentation skills with ability to influence and advise executive stakeholders up to C-level Deep expertise in artificial intelligence, machine learning and generative AI applications with strong knowledge of MLOps and LLMOps lifecycles Advanced understanding of cloud-scale data platforms such as AWS, Azure … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

professional services firms. Our Artificial Intelligence & Data (AI&D) team at Deloitte is at the forefront of transforming our clients’ industries through advanced analytics, machine learning, and artificial intelligence. Our clients include some of the largest and most well-known organisations, brands and public bodies. We partner with … develop solutions that leverage the latest AI & Data technologies.At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting next ...

diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self‐development. Experience with agile delivery‐lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through … development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You'll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

track record of delivering production-ready AI projects.Experience in the legal domain or with legal applications is highly desirable.Technical Skills:Strong understanding of AI, machine learning, and AI agents.Good knowledge of workflow applications and process automation.Soft Skills:Exceptional collaboration and teamwork skills, with the ability to work effectively … weeks per year, empowering employees to achieve a better work-life balance.Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures ...

recall against dangerous behaviours nobody has seen yet? These are difficult questions – conceptually and empirically. Day to day this looks like: designing and running ML experiments (including RL and other optimisation-heavy work), building the adversarial attacks that generate the evidence, writing arguments, and arguing them out with the rest … looking for, rather than a list of everything we expect to find in one applicant. Essential Requirements Demonstrated ability to design, build and run ML experiments on frontier models, and to work autonomously on complex research projects involving substantial engineering. This includes black‐box work (API‐based evaluations and attacks ...

design, build, integration, testing and deployment. Build APIs, integrations, data pipelines and cloud‐native solutions that enable scalable AI applications. Evaluate, implement and optimise ML and LLM technologies, balancing performance, cost and risk. Lead client discovery, requirements gathering and feasibility assessments to identify high‐value AI opportunities. … generative AI solutions in production environments. Strong understanding of system architecture, APIs, data engineering and cloud platforms. Demonstrated ability to evaluate and implement ML/LLM technologies against business requirements. Experience leading client engagements from discovery through to delivery. Excellent stakeholder management and communication skills, with the ability to influence ...

About Signal Ocean Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed … while diving deep into our products and/or the shipping world. Career growth opportunities and a structured development discussion every 4 months. Personal learning budget for training, seminars, conferences (750 to 2000 EUR annually depending on seniority). Regular team bonding events and activities. Fitness benefits to support ...

enables our students, staff, researchers, visitors and partners to confidently and creatively use digital services, technology and data for the benefit of their learning, teaching, research or work. The culture of IT Services is one of innovation, collaboration, excellence, and inclusivity, and we apply the principles of customer focus … Amazon Web Services).AI & Automation Awareness: Knowledge of emerging educational technologies, with a specific focus on the operational and administrative aspects of managing machine learning and AI applications in higher education.Communication & Collaboration: Strong communication skills, including the ability to present technical system status clearly to non-technical stakeholders ...

sound model governance practices, including clear documentation, version control and validation protocols.Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis and quantitative modelling.Collaborate with Enterprise Technology, Information Technology and Investment Risk Management ...

model governance practices, including clear documentation, version control and validation protocols. Drive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis and quantitative modelling. Collaborate with Enterprise Technology, Information Technology and Investment Risk ...

data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizationsDevelop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing.Create comprehensive reports on underwriting efficiency metrics and risk selection quality ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting We’re looking for a full-stack Python engineer to join our Central Operations ...

deliver analytical products that directly shape football decisions. Support our R&D team in the design and implementation of world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data. Effectively utilise AI coding ...