501 to 525 of 2,586 Remote/Hybrid Machine Learning Jobs

building and leading a team that builds production systems handling unstructured clinical text, structured knowledge (ontologies and graphs), and generative AI. Dyad has a learning and teaching culture and the candidate for the role should be as comfortable coming up with accessible explanations … stakeholders and sharing knowledge with team members as they are digging into technical questions. This role spans a number of disciplines within the ML, NLP, and AI disciplines and is not just another LLM-wrapper position. If your experience is solely around using LLMs within the AI space, this role ...

including asset managers, pension funds, hedge funds, and sovereign wealth funds. The successful candidate will bring a unique blend of equity research, quantitative modelling, machine learning, and platform development expertise, with the ability to translate complex datasets into differentiated investment insights while driving innovation across the research process. … equity market structure and investment processes, with expertise in cross-sectional and time-series modelling, factor research, and the application of statistical and machine learning techniques to investment research and alpha generation. Communication & Intellectual Curiosity Excellent written and verbal communication skills, with the ability to communicate sophisticated quantitative ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … experience would help someone be successful in this role at Roku? Extensive experience in a software engineering environment Demonstrated project work using AI/ML and LLM technologies Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies Experience working in an embedded environment Experience ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … experience would help someone be successful in this role at Roku? Extensive experience in a software engineering environment Demonstrated project work using AI/ML and LLM technologies Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies Experience working in an embedded environment Experience ...

MONY Group Data Team, our goal is to drive business growth by building and maintaining data products that power analytics, financial reporting, CRM, machine learning and personalised customer experiences. We work closely with teams across the business to make data clean, reliable, secure and accessible for decision-making. … platform capability and improve how engineering work gets done. You will help operate and evolve the platform that supports analytics, CRM, financial reporting and machine learning across MONY Group. AI-assisted engineering is an important part of the role, but we do not expect candidates to arrive ...

leading software company in Cambridge is seeking a Machine Learning Research Engineer to research cutting-edge machine learning concepts. This role requires a Ph.D. in a related field and a strong background in NLP and classic machine learning. Responsibilities include investigating algorithms, prototyping research concepts ...

business. This is an exciting opportunity to lead the strategy, architecture, and delivery of innovative data platforms that enable business-critical decision making, support machine learning capabilities, and help drive our journey towards Net Zero.Working at the intersection of data science, architecture, and business strategy, you'll influence … design scalable solutions that turn complex business requirements into valuable, actionable insights.You'll also have experience with:Data warehousing, database design, and schema developmentAzure ML, Synapse, AWS, SQL, and Unix-based environmentsData governance, master data management, and testing frameworksMachine learning, statistical analysis, and data visualisation techniquesLeading and managing external ...

CUJO AI® is a leader in artificial intelligence solutions for network service providers. We use machine learning and real-world data to develop cybersecurity, device intelligence, network intelligence, and parental control solutions that make internet connections safer for millions of homes. About the Role As a DirectorPlatform Product … understanding of how they operate, including networking or wireless communications. Familiarity with machine learning algorithms in cloud environments. Background in cloud infrastructure, ML, or networking technologies. Track record of delivering large‐scale, cross‐departmental software projects in enterprise settings. A strong team‐player instinct — you thrive in cross ...

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 ...

measures. Design, prototype, validate, and deliver end‐to‐end data science and AI solutions, from discovery through to production. Develop and evaluate statistical models, machine learning systems, and Generative AI solutions, including LLM‐based and RAG‐enabled approaches. Support the operationalisation of models and AI solutions, including deployment … junior data scientists and contribute to reusable accelerators, best practices, and Insight capability development. Skills we can’t do without: Applied data science expertise Machine learning and AI delivery Generative AI/LLM experience Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale.You will be responsible for shaping and implementing the technical roadmap ...

have the flexibility to work from our London office or remotely from elsewhere within the UK. About the role Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your … deliver practical, innovative outcomes, this is your chance to shape our future. What you'll be doing Setting the technical direction for complex ML projects, balancing trade‐offs, and guiding team priorities. Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions. Defining project problems ...

again, better, for the next client.Technology leadership: You will take a client's business opportunities and pain points and match them to the right ML, AI or data engineering solution. You possess the technical depth required to engage in discussions regarding solution architecture and implementation details with a client … technical teams together.Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you can move fluidly between the strategic and the technical.A track record ...

build, and deploy production-ready GenAI solutions. This hybrid role can be based from London or Sheffield and is ideal for an AI Engineer, Machine Learning Engineer, or Software Engineer with 3 to 5 years of experience working across Generative AI, LLMs, Python, APIs, and cloud-based … Collaborate with stakeholders to turn business requirements into practical AI solutions. Required Skills and Experience 3 to 5 years of experience in AI engineering, machine learning engineering, software engineering, or data-focused development. Hands-on experience with Generative AI, LLMs, RAG, prompt engineering, or AI agents. Strong Python ...

maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.Generative AI and Context Engineering: Develop generative AI enabled solutions … Python, SQL, and/or similar languagesExperience building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. ...

maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.Generative AI and Context Engineering: Develop generative AI enabled solutions … Python, SQL, and/or similar languagesExperience building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. ...

Services, Business Development, CI/CD, CloudFormation, DAMA, Data Architecture, Decision Intelligence, DevOps, Generative AI, Google Cloud Platform, Hybrid Cloud, Large Language Model Applications, Machine Learning, Microsoft Azure, TOGAF, Terraform, Thought Leadership, Transformation RoadmapsData & AI Strategy Consultant/Architect – AI Transformation (GenAI & Agentic AI)Are you ready … business value.Essential experience:10+ years’ experience in data, analytics, AI, or enterprise architectureStrong consulting background delivering technology and AI transformation programmesDeep understanding of AI, machine learning, GenAI, and cloud data platformsExperience with AWS, Azure, or GCPStrong knowledge of data architecture, DevOps, and automation toolingExperience engaging with senior stakeholders ...

growth - from credit risk and customer retention to personalised recommendations.You’ll become Raylo’s technical and strategic leader on:The cutting edge of ML and AI model development, applying the very best of what’s possible to Raylo’s hardest problems. Collaborating with teams across the business, to identify high … DoReporting to the VP of Strategy & Analytics, you’ll define and lead Raylo’s data science function, deploying cutting edge AI and ML to solve Raylo’s hardest problemsYou’ll own end-to-end design, build and deployment of production-grade machine learning models - from credit risk ...

growth - from credit risk and customer retention to personalised recommendations. You’ll become Raylo’s technical and strategic leader on: The cutting edge of ML and AI model development, applying the very best of what’s possible to Raylo’s hardest problems. Collaborating with teams across the business, to identify … Reporting to the VP of Strategy & Analytics, you’ll define and lead Raylo’s data science function, deploying cutting edge AI and ML to solve Raylo’s hardest problems You’ll own end-to-end design, build and deployment of production‐grade machine learning models - from credit risk ...

governance, security and quality standards. Leading and mentoring a team of Data Engineers. Collaborating with Data Scientists, Analysts and Product teams to support analytics, machine learning and AI initiatives. Driving platform performance, scalability and cloud cost optimisation. What's On Offer? Salary up to £110,000. Hybrid working … ownership of a modern Databricks platform. Opportunity to influence architecture, tooling and engineering standards. Leadership responsibilities with a growing engineering team. Exposure to AI, machine learning and large-scale data initiatives. Key Experience Required Proven experience as a Senior or Lead Data Engineer. Deep expertise in Databricks, Spark ...

on. Design evaluations that tell us honestly whether a model or agent is working, and act on what they show. Explain complex statistical and machine learning concepts and results clearly, through visualisation and summarisation, including to non-technical audiences. Contribute to technical discussion and help refine requirements rather … lifecycle practices. The ability to navigate typical problems independently, contribute to discussion and help shape technical requirements. The ability to communicate complex statistical and machine learning concepts and their results clearly, including to non-technical audiences. Desirable An insatiable appetite for learning and for acquiring new knowledge ...

targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.As a Staff ML Engineer, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects … experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.Participating in modeling and coding reviews: You will review work by other team members ...

excited about the opportunity to take ownership for building AI within a high-performance, mission-focused team. You will be working with AI/ML models and deploying them within our software products, both running in the cloud and on edge devices in the field. The role will also encompass … science, artificial intelligence, machine learning, robotics or a related engineering field 4 years of relevant experience researching and applying modern AI/ML in areas such as scene understanding, multi-modal sensing, control and path planning, or vision-language understanding. The ability to write clean and maintainable code ...

Working directly with senior client stakeholders to turn business challenges into technical solutions Delivering modern Lakehouse architectures, real-time analytics, AI and Machine Learning capabilities Championing best practices around governance, security, performance and cost optimisation Mentoring engineers and helping build a world-class Data & AI capability Staying ahead … client-facing and consulting skills The ability to translate complex technical concepts into business outcomes Bonus Points For: Experience with AI, Generative AI and Machine Learning operationalisation Power BI or Tableau experience Experience in Financial Services, Insurance, Retail or Healthcare Why You'll Want This Role Work ...

Working directly with senior client stakeholders to turn business challenges into technical solutions Delivering modern Lakehouse architectures, real-time analytics, AI and Machine Learning capabilities Championing best practices around governance, security, performance and cost optimisation Mentoring engineers and helping build a world-class Data & AI capability Staying ahead … client-facing and consulting skills The ability to translate complex technical concepts into business outcomes Bonus Points For: Experience with AI, Generative AI and Machine Learning operationalisation Power BI or Tableau experience Experience in Financial Services, Insurance, Retail or Healthcare Why You'll Want This Role Work ...