351 to 375 of 2,576 Remote Machine Learning Jobs

life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team … that will transform the biopharmaceutical world as we know it. You'll join our Platform group, where you partner with leading engineers, scientists and ML researchers to build the critical foundations driving that transformation.You'll be working as part of a small and highly efficient team on all parts ...

large and engaged customer base is seeking a Data Scientist to join their Decision Sciences team. They are investing heavily in advanced analytics and machine learning, with data playing a central role in strategic decision-making across the organisation. You'll work in a collaborative environment alongside analytics … marketing, and commercial stakeholders, delivering solutions that have a tangible impact on customer outcomes. THE ROLE Build and develop machine learning models focused on customer retention, churn prediction, and customer lifetime value Evaluate and improve existing modelling pipelines to increase accuracy and commercial impact Partner with ...

growing Global Targeting team. Working to enhance the ClearScore user experience through improved dynamic content targeting and prioritisation, you will deliver data science and machine learning solutions across a variety of use cases, business areas, and markets. Your contributions will directly support the Global Targeting mission, enabling … their full potential and deliver maximum positive business impact. What you will be doing: Supporting the end‐to‐end development of data science and machine learning solutions in multiple markets to enable an improved user experience through data‐driven Targeting Interpreting and communicating the outputs of predictive models ...

data products that enable objective decision-making with speed and confidence. Promote and champion a data-driven culture by applying advanced analytics, statistics, machine learning, AI, and emerging technologies to solve business problems, improve performance and help the organisation move from reactive reporting to proactive and predictive decision … quality, governance, accessibility and trust. Support the design and development of data pipelines, APIs, data integrations and reusable data assets that enable advanced analytics, machine learning and self-service data capabilities within the Microsoft Fabric ecosystem. Create and maintain clear, high-quality documentation for models, methodologies, datasets ...

Provide technical support to partners on firmware, software, Machine Learning, and Computer Vision related issues on Arm-based systems.Work closely with hardware, ML, and applications engineering peers, as well as cross-functional teams across Engineering, the Business Unit landing team, and Product Management.Investigate and reproduce complex customer issues … leadership across geographically distributed and cross-functional teams.Excellent communications skills both written and verbal“Nice To Have” Skills and Experience:Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes.System bring-up and JTAG debugging expertiseGood background of system performance analysisExperience with RTL simulation tools ...

facing environment Our Artificial Intelligence & Data (AI&D) Insurance team at Deloitte is at the forefront of transforming the insurance sector through advanced analytics, machine learning, and artificial intelligence. Our clients include some of the largest and most well-known personal and commercial line brands. We partner with … robust data platforms utilising cloud technologies (e.g., AWS, Azure, GCP)Translate complex business problems into technical requirements and actionable data strategies.Develop, validate, and deploy machine learning models and AI solutions to address specific client challenges, such as risk assessment, fraud detection, claims optimisation, and customer personalisation.Communicate project progress ...

remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Senior 3D Artist for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding real-world environments.The company specialises in computer vision, perception and autonomy, combining modern deep learning … opportunities.Senior 3D Artist roleThe Senior 3D Artist will create high-quality environments, objects and synthetic scenes used to train, test and evaluate advanced AI, machine vision and autonomous systems.This role would suit an experienced 3D Artist from synthetic data, games, simulation, VFX or virtual production who wants to apply ...

identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical … datasets. Ability to communicate analytical findings clearly to non-technical stakeholders. A practical, curious and commercially-minded approach to problem-solving. Desirable Experience with machine learning and predictive modelling. Experience with Snowflake. Experience working with ETL/data integration tools, ideally Matillion. Experience with cloud data platforms ...

technical support to partners on firmware, software, Machine Learning, and Computer Vision related issues on Arm-based systems. Work closely with hardware, ML, and applications engineering peers, as well as cross-functional teams across Engineering, the Business Unit landing team, and Product Management. Investigate and reproduce complex customer … across geographically distributed and cross-functional teams. Excellent communications skills both written and verbal “Nice To Have” Skills and Experience: Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes. System bring-up and JTAG debugging expertise Good background of system performance analysis Experience with ...

powered customer intelligence products? We're partnered with a fast-growing AI product company helping global brands better understand their customers through machine learning and natural language processing. Their platform analyses vast volumes of unstructured customer feedback to uncover actionable insights, enabling organisations to make better product … reranking systems Develop solutions across aspect-based sentiment analysis, classification and taxonomy generation Partner closely with Product and Engineering teams to ship production-ready ML systems Contribute to model serving, monitoring and continuous improvement processes Mentor colleagues and bring relevant advances in NLP, GenAI and Machine Learning into ...

identify trends, patterns, opportunities and issues Apply statistical and mathematical techniques to investigate business problems and support decision-making Build predictive models, algorithms and machine learning solutions where they add value Reporting & visualisation Develop and maintain Tableau dashboards and reporting that communicate findings, and help stakeholders … complex datasets Able to explain analytical findings clearly to non-technical stakeholders A practical, curious and commercially-minded approach to problem-solving Experience with machine learning, Snowflake, Matillion or other ETL tools, modern cloud data stacks, or large-scale video and unstructured datasets would all be useful ...

evaluation.About youIn order to set you up for success at Wayve, we’re looking for the following skills and experience.4+ years of experience in ML research/engineering with a focus on generative video, world models.Deep knowledge in diffusion & latent-video models; track record of improving sampling efficiency or model … video, multi-sensor fusion).Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools.Strong publication record or contributions to open-source ML tooling.Ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.DesirableExperience in AVs, robotics, simulation, or other embodied AI domains.Experience working with synthetic ...

emerging technologies. Key Responsibilities Design, develop and implement AI solutions for customers and internal business requirements Identify opportunities where AI, automation and machine learning can improve business processes Integrate AI technologies into existing IT environments and managed service solutions Work with Microsoft and cloud-based AI technologies, APIs … comfortable working in a customer-facing Managed Service Provider environment. Ideally, you’ll have: Proven experience working as an AI Engineer, AI Consultant, Machine Learning Engineer or similar Practical experience implementing AI solutions within an MSP or managed service environment Strong understanding of Generative AI, LLMs ...

order to set you up for success at Wayve, we’re looking for the following skills and experience. 4+ years of experience in ML research/engineering with a focus on generative video, world models. Deep knowledge in diffusion & latent-video models; track record of improving sampling efficiency or model … sensor fusion). Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools. Strong publication record or contributions to open-source ML tooling. Ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. Desirable Experience in AVs, robotics, simulation, or other embodied AI domains. Experience ...

machine learning that drives decisions across a 4M+ member platform Build commercial models spanning retention, recommendations and customer growth Work directly with senior stakeholders in a growing Data Science team Up to £90,000 + 7% Bonus Hybrid | London (2 days/week) - Leicester office visit once … forecasting and marketing mix models Detect fraud, broken journeys and offer issues Design and evaluate A/B tests Translate business problems into scalable ML solutions Tech stack: Python, SQL, Databricks, dbt, MLflow Requirements 5+ years' commercial Data Science experience Strong Python and SQL skills Experience with customer, marketing, ecommerce ...

safely and efficiently into production. This is a key operational, technical and leadership role at the intersection of science, software engineering, high-performance computing, machine learning and 24/7 operational delivery. You will provide technical and people leadership for the team responsible for ensuring that ECMWF … dissemination steps are aligned and robust. It oversees workflows used to produce operational weather forecasts from medium‐range to seasonal timescales, as well as machine‐learning‐enabled forecasts, Copernicus climate reanalyses and atmospheric composition services and Destination Earth Digital Twins. It also monitors the performance of operational suites ...

data capability from the ground up, in an organisation where the work genuinely matters.The roleThis is a hands-on leadership role combining statistical analysis, machine learning and business acumen to identify opportunities, solve complex problems and drive measurable value, not for its own sake, but to strengthen … large, complex datasets to identify trends, patterns and opportunities for improvement Develop, test and deploy predictive and statistical models as data maturity increases Apply machine learning techniques and emerging AI developments to real-world problems Collaborate closely with a data engineer to ensure data availability and quality Communicate ...

closely with Engineering, Data Science, Fraud Operations, Risk and Acquiring Product teams, you will build and scale real-time monitoring solutions using rules engines, machine learning models and Agentic AI to reduce fraud losses, improve chargeback outcomes and manage Tide’s acquiring risk exposure across card-present … across card-present and card-not-present acquiring journeysWorking with Engineering and Data Science teams to define and deliver real-time rules, risk signals, machine learning models and decisioning workflowsHaving end-to-end ownership of the acquiring fraud and risk monitoring product development lifecyclePrioritising product work based ...

fully remote for the right person The role This is a genuine dual role: real line management and delivery leadership across the Lab's ML engineering function, plus a meaningful hands-on contribution to technical delivery yourself. You'll manage a growing team of ML Engineers and Scientists, shape ML … stay close enough to the work to actually lead it technically, not just report on it. What you'll do Line-manage and develop ML engineers: coaching, mentoring, feedback, and input into hiring and onboarding. Stay hands-on with technical delivery on selected projects, alongside your leadership responsibilities across multiple ...

retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They … Hybrid) As the Data Science Manager, you will lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex ...

critical role in expanding the impact of our Data & AI products across the Trips domain. You will define strategy and long-term vision for ML-powered capabilities that enable Trips product teams to move faster, make better decisions, and deliver step-change improvements in customer experience and marketplace performance.You will … liaison between Data & AI and the Trips product organization, serving as a trusted partner to senior product and business leaders. You will bring deep ML domain expertise, consult closely with product teams, and collaborate on identifying and shaping high-impact AI-driven opportunities across attractions, flights, and ground transport.This ...

experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling … Research Scientist Manager, you will play a key part in leading a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your ...

Senior AI/ML Engineer ££90,000 - £110,000 GBP No Hybrid WORKING Location: UK wide , Central London, Greater London - United Kingdom Type: Permanent Senior AI Engineer - London (Remote) We're looking for an experienced AI Engineers to lead the next generation of AI-powered learning experiences. … strategy, architecting scalable solutions, and bringing innovative products to millions of learners. This is an opportunity to join a fast-growing online learning platform where your work will directly influence how people develop new skills, advance their careers, and achieve their goals. The Role As an AI Engineer ...

world tasks, workflows, and decision-making. This is a small, high-calibre team building systems where model capability is transformed into reliable, production-grade ML systems, with a strong emphasis on ownership, iteration, and real-world performance. The product focuses on: Long-running AI workflows Persistent context across interactions Multi … step reasoning and task execution Integration with external tools and systems The core challenge is designing ML systems that can behave reliably in production, even when model outputs are inherently non-deterministic. The Role This role sits at the core of the ML layer powering the product. The focus ...

critical role in expanding the impact of our Data & AI products across the Trips domain. You will define strategy and long-term vision for ML-powered capabilities that enable Trips product teams to move faster, make better decisions, and deliver step-change improvements in customer experience and marketplace performance. … liaison between Data & AI and the Trips product organization , serving as a trusted partner to senior product and business leaders. You will bring deep ML domain expertise , consult closely with product teams, and collaborate on identifying and shaping high-impact AI-driven opportunities across attractions, flights, and ground transport. This ...