176 to 200 of 2,570 Remote/Hybrid Machine Learning Jobs

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

/ML Engineer Belfast (Flexible Hybrid) | Full-time Build the AI/ML models that turn billions of pieces of consumer feedback into trustworthy insight Work directly on NLP, personalisation and content-quality models at genuine production scale Python/cloud stack, with real scope to bring in LLMs … thousands of brands and retailers with billions of consumers through user-generated content at genuinely massive scale. That scale is exactly why AI and ML sit at the centre of the product, not on the sidelines, and the company's culture has been externally recognised as a Great Place ...

defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML … implementing Faculty’s standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like ...

large self-supervised ones, supportingSpeechmaticstowards being the mostaccuratespeech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands-on, technical leadership role with high ownership.You will … develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do: Develop and deploy ML models, translating research into scalable, maintainable code and services ...

expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong software engineering fundamentals, hands … data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn ...

Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model (Inactive), Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured ...

only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams and customers depend on every day. Sitting … within Data Science, this is at heart a hands‐on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems —building the APIs, tools, integrations and workflows that let LLMs, and agents operate reliably at scale. You will also support the broader range ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps ...

shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear … collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. ...

huge variety of interesting, international, and world-leading clients on exciting next generation technology-enabled projects. We are looking for candidates with AI/ML Engineer based expertise to join us, working in fast-paced teams with other highly talented, fun and motivated colleagues.We encourage consideration of flexible ways … with some flexibility, please do discuss it with us.Your roleAs a practitioner in AI&D, you are responsible for delivering AI/ML Engineering on client projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms.AI/ML ...

that ensure content remains safe, compliant, and high quality. We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring … listeners and creators. What You Will Do Define & drive machine learning strategy for safety, policy enforcement, and compliance systems Build and scale ML systems for detection, classification, and risk assessment across content Develop automated decisioning systems that ensure consistent, reliable enforcement of policies Design systems that support real ...

accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. The depth of query, content, and user understanding using ML is key to user happiness on the search and discovery journey, and this team owns the models that power it across the Roku platform.What … role The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we’re actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person ...

Senior Machine Learning Engineer 75,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer Location: London (Hybrid) Salary: £75,000 + Bonus + Excellent Benefits Are you passionate about applying Machine Learning and Generative ...

facilities. We have a growing international footprint and are one of Europe’s fastest-growing engineering businesses. About the role We are growing our ML team and hiring across mid, senior, lead and principal levels. We are looking for AI builders; you will be working on developing and deploying … systems to solve complex problems that have real-world impact. You’ll join an existing ML team that works in close collaboration with software, hardware and systems teams to get useful AI into the hands of users. Our ML team works end-to-end, from R&D to deployment, across ...

immediate interactions Partner with product managers, data scientists, and engineers to define what success looks like and how to measure it Own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration Integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks Help … have strong experience building and deploying machine learning models in production environments at scale You are comfortable translating business problems into ML solutions and discussing trade‐offs with cross‐functional partners You have worked on complex optimization problems such as ranking systems or multi‐objective decision‐making ...

offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.As an ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand-new, ML-driven dispute optimisation … growing team in an expanding area within the company and we’re looking for individuals who have strong ownership, are passionate about productionising ML and have a pragmatic approach to converting big problems into smaller iterations to constantly deliver value.How you’ll make an impactBuild systems for training, deploying ...

clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI.Development and delivery of new and innovative data science and machine learning tools and solutions to support evolving … E.g. test-driven development, smart data structure and algorithm selection.Experience in using cloud environment (e.g. Azure, AWS).Experience using Azure Databricks, Azure MLflow, Azure ML services and/or other ML services.Experience using Excel, SQL, Power BI, Tableau.Experience using Docker and Kubernetes.Experience working in an Agile development team.Experience delivery data ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years ...

discovery workflows Design and maintain rigorous benchmarking and evaluation frameworks that measure model quality across modalities, downstream tasks, and scientific use cases Collaborate with ML and software engineering colleagues to productionize models, evaluation systems, and inference services Partner with computational chemists, medicinal chemists, and biologists to ensure model development … discovery needs Communicate results to internal teams, external partners, and at conferences Write high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity QUALIFICATIONS PhD in machine learning, computer science, computational chemistry, physics, or a related computational STEM field, or equivalent ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years ...

## Principal Software Engineer (AI/ML)Applylocations: GB - Luton - Cap. Green 300: GB - Edinburgh: GB - Lincoln: GB - Southampton: GB - Basildontime type: Full timeposted on: Posted Todayjob requisition id: R0031288**Job Description:*****Salary Range:** £54,000 - £70,000**Leonardo UK operates a grade-based salary framework with broad bands. … protect internal equity.***Your Impact**Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software ...

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 ...

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 ...