51 to 75 of 2,571 Remote/Hybrid Machine Learning Jobs

Specific Skills and Experience RequiredWe’re looking for strong C++ software development experience, ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar technology … design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role.Beneficial but Not RequiredExperience across every area below is not expected. Relevant ...

Specific Skills and Experience Required We’re looking for strong C++ software development experience , ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar … design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Beneficial but Not Required Experience across every area below ...

Data practice, we work with leading organisations to transform how they manage, govern, and utilise data, creating the trusted foundations required for advanced analytics, machine learning, and emerging AI capabilities.As a Databricks Data & AI Engineer, you'll design, build and optimise scalable data & AI solutions using the Databricks … Platform, enabling advanced analytics, machine learning, and AI. Working alongside leading architects, engineers, and AI specialists, you'll help clients modernise their data platforms and create the trusted foundations that power intelligent decision-making.We're looking for practitioners with a passion for building scalable, high-performance data platforms ...

opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make … latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. ...

opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make … latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different AI/ML techniques for real client use cases.Experience working across at least part of the data science or machine learning lifecycle, from exploration and prototyping … across all the areas below, but we are particularly interested in people who can bring in one or more of them:Applying AI/ML techniques to text, audio, imagery, video, geospatial, graph or multimodal data.Developing solutions using machine learning frameworks such as PyTorch, TensorFlow, scikit-learn ...

unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different AI/ML techniques for real client use cases.Experience working across at least part of the data science or machine learning lifecycle, from exploration and prototyping … across all the areas below, but we are particularly interested in people who can bring in one or more of them:Applying AI/ML techniques to text, audio, imagery, video, geospatial, graph or multimodal data.Developing solutions using machine learning frameworks such as PyTorch, TensorFlow, scikit-learn ...

unsupervised learning, deep learning, transformers, generative AI and agentic AI patterns.Ability to assess the suitability, limitations and risks of different AI/ML techniques for real client use cases.Experience working across at least part of the data science or machine learning lifecycle, from exploration and prototyping … across all the areas below, but we are particularly interested in people who can bring in one or more of them:Applying AI/ML techniques to text, audio, imagery, video, geospatial, graph or multimodal data.Developing solutions using machine learning frameworks such as PyTorch, TensorFlow, scikit-learn ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering … grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment ...

machine learning solutions, from problem framing and data strategy through to modelling, deployment, and iteration in production Design and build scalable ML systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains Lead the development and application of LLM-based approaches … shaping detection strategies in partnership with Trust, Policy, and Product Collaborate cross-functionally to translate business and safety goals into effective, production-ready ML systems, influencing trade-offs and priorities Communicate clearly and effectively with both technical and non-technical stakeholders, articulating approaches, trade-offs, and impact Qualifications: Proven track ...

Data Scientist Mid to senior Data Scientist role within a global business Full ML and AI lifecycle across traditional ML, LLMs, RAG and agentic AI workflows Belfast based, hybrid (2 days at home per week) Salary reflecting experience, competitive package UK work authorisation required About the Company Our client … compelling environment for a Data Scientist who wants to make their mark. The Role A mid to senior Data Scientist position covering the full ML and AI lifecycle, from data preparation and experimentation through to production deployment, monitoring and continuous improvement. You will work across traditional machine learning ...

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment.Engineer and implement ML-based solutions, owning the full lifecycle – from model development and deployment to monitoring and iteration.Deploy models into production environments, handling the integration and operationalisation of ML … support innovation across teams.Communicate findings, recommendations, and model outcomes to both technical and non-technical audiences through visualisation and data storytelling.Research emerging AI/ML techniques to stay ahead of the curve and identify new opportunities to enhance current systems.Ensure all data science and ML practices adhere to relevant ethical ...

propositions. Experience delivering products through the Software Development Life Cycle (SDLC) using Agile or Scrum methodologies. Understanding of AI and Machine Learning (ML), model lifecycle concepts, and AI-enabled workflow design. Demonstrated success leading cross-functional initiatives, navigating complex matrix environments, and delivering measurable operational value. Experience … Trials Operations, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Pharmaceutical Industry, Product Development Strategy {+ 3 more} #J-18808-Ljbffr ...

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment. Engineer and implement ML-based solutions, owning the full lifecycle from model development and deployment to monitoring and iteration. Deploy models into production environments, handling the integration and operationalisation … ML within wider systems and applications. Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation. Collaborate closely with data analysts, engineers, and other stakeholders to define new tools, enhance workflows, and support innovation across teams. Communicate findings, recommendations, and model outcomes to both technical ...

Machine Learning Engineer - Hybrid Modelling Newton Colmore is partnered with a venture-backed deep tech company developing novel intelligent systems that will transform how complex industrial and scientific processes are designed, monitored, and optimised. As the organisation continues to scale, they are seeking a machine learning engineer to take ownership of advanced modelling, machine learning, and predictive analytics initiatives at the heart of their technology platform. You will be joining a highly talented team of scientists and engineers who are tackling a difficult technical challenge and applying new computational methods to real-world ...

Retrieval, embeddings and semantic search Narrative detection and clustering Multilingual text intelligence Large-scale data and model pipelines Model evaluation, observability and monitoring Production ML infrastructure on AWS The problems are often open-ended. You might be evaluating how reliably different models identify changes in a market narrative, improving entity … scale historical and real-time datasets. Carry out detailed error analysis and use what you find to improve model and system performance. Build reliable ML infrastructure Develop and maintain data and machine learning workflows using technologies such as Apache Airflow. Help improve CI/CD, automated testing, monitoring ...

#LI-Onsite The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with strong curiosity for AI-driven drug discovery to join the AI & Innovation … insights from complex multi-modal datasets and advance our target and biomarker discovery efforts.Job Description Key responsibilities:Design, develop, and apply advanced AI/ML approaches to extract actionable insights from pre-clinical, clinical and real-world evidence datasets.Demonstrate value of innovative AI techniques in the context of drug target ...

interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision makingYou will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.You will perform … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

OverviewWe’re building software that helps Machine Learning and AI workloads run efficiently on the next generation of Arm compute platforms.Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical experience with Machine Learning frameworks such as PyTorch.The work sits … intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ML software stack.We’re hiring across several levels of seniority, with scope and technical leadership matched to experience.Interested ...

governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI.Design modern ML, MLOps and LLMOps architectures, including feature engineering, model lifecycle management, orchestration, deployment patterns, monitoring, observability, governance, and cost-aware scaling of AI solutions.Lead client discovery engagements … learning, and Generative AI platforms.Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture.Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector databases, Retrieval-Augmented Generation (RAG), and enterprise AI deployment patterns.Strong understanding of enterprise data ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

building software that helps Machine Learning and AI workloads run efficiently on the next generation of Arm compute platforms. Our ML Engineering teams are looking for experienced software engineers with strong C++ skills and practical experience with Machine Learning frameworks such as PyTorch . The work … sits at the intersection of Machine Learning, software and hardware. Projects span ML frameworks and compilers, runtimes, drivers, embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ML software stack. We’re hiring across several levels of seniority, with scope and technical ...

working with a small team who deliver AI capabilities for the UK government. You'll be curious about all flavours of AI from classical ML to the latest generative and adversarial techniques and keen to keep learning as the field moves. You'll bring a general understanding of software … engineering alongside your ML knowledge and enjoy research, experimenting with new approaches and figuring out how they translate into practical capability for our customers. You'll work closely with a small, high-performing team of engineers and researchers, contributing ideas and picking up new skills as you go. Our work ...