551 to 575 of 2,586 Remote/Hybrid Machine Learning Jobs

Data Engineering - Python, SQL, ETL/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/Lead engineering roles across Cloud, Platform, Data and AI The organisations ...

agile development methodologies.Day to day the Data Engineer will:Work alongside the Risk and Analytics team to create and implement machine learning risk models and large scale data projects from inception to productionBuild high quality datasets from raw data using some of the latest tools and technologiesBuild … embed defined data models and data flows to the cloudDrive large batch, streaming and machine learning applications from design to productionContribute to the design, implementation and monitoring of our cloud data platform as well as innovative ways to ingest, process, store and analyse various data sourcesContribute to automation ...

strong background in computational plasma modeling, covering areas such as plasma chemistry, sheath dynamics, ion energy distribution, and plasma-surface interactions. Awareness of machine learning in physics-based simulation workflows is a plus. You are independent, adaptable, and experienced, able to engage rapidly with semiconductor customer teams … each problem (e.g. COMSOL, HPEM, VizGlow, CFD‐ACE+), and validating outputs against experimental or industrial process data. Collaborating closely with PhysicsX Data Scientists and ML Engineers to integrate your simulation work into AI‐powered workflows. Operating independently on open‐ended, highly specialised problems—scoping, executing, and delivering with minimal oversight. ...

policy experts, and business leaders working together to build beneficial AI systems. About the role You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless … Anthropic, such as the design and implementation of our Responsible Scaling Policy. You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast‐moving collaborative projects ...

intelligent extraction pipelines and agentic workflows.Build and deploy scalable web applications and microservices on AWS using Python, following cloud security best practices.Drive AI and machine learning research and development by evaluating new models, tools and technologies, creating prototypes and recommending adoption opportunities.Develop and optimise prompt engineering solutions … enhancements, data analysis and cloud-native technologies.What we would like you to bringStrong commercial experience developing production-quality applications in Python.Experience with AI and machine learning, including LLM integration, prompt engineering and model evaluation.Hands-on experience deploying and managing applications on AWS or a comparable cloud platform.Some Java ...

technology consultancy in Greater London is seeking a Machine Learning Engineer to work on impactful public sector projects. You'll research and develop AI algorithms, manage MLOps pipelines, and ensure model performance and integration. Ideal candidates should have strong expertise in machine learning, data science techniques ...

leader to define and execute our global Applied AI strategy. You will sit at the intersection of business strategy, engineering, data architecture, AI/ML and enterprise risk management, with accountability for turning AI from isolated experimentation into a scalable, controlled and commercially valuable capability across the group. … value realisation of AI use cases at enterprise scale. What you offer Significant experience in senior technical leadership roles across software engineering, data architecture, machine learning, applied AI, AI platform engineering or related disciplines. Deep understanding of distributed systems, enterprise data architecture, cloud platforms, application programming interfaces ...

engineering bar across your team and the wider business unit. Acting as both a technical authority and a mentor, you’ll work alongside Machine Learning Engineers and Data Scientists to deliver production-grade solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. What … production-ready code in Python and compiled languages such as Rust, C++, or Go. Collaborating with cross-functional teams to integrate advanced AI and Machine Learning capabilities into software architectures. Distilling complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders. ...

delivery pipelines. Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. … Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

delivery pipelines. Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. … Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business … technology risk FUNCTIONALITY DESCRIPTION Developing risk models and risk sensitivity analysis that use advanced mathematical/statistical/engineering approaches such as optimization, machine learning, regressions, visualization Performing detailed analysis on risk trends and drivers Updating and maintaining risk models along with business growth and risk environment changes ...

Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation, causal inference and applied machine learning. We’re hiring a Data Science Manager to join our Merchants team. Merchants are central to Deliveroo’s marketplace: they drive selection, order … data scientists and developing high-performing teams A strong background as a senior data science individual contributor Expertise in experimentation, causal inference or applied machine learning The ability to guide technical work and translate data science into product, operational or commercial decisions Strong stakeholder management skills and confidence ...

proof‐of‐concept and mid‐TRL solutions across Microsoft cloud, AI, and security platforms.You will use strong Python engineering skills and recent experience of machine learning and large language models (LLMs) to deliver AI‐enabled applications end to end. The work spans data pipelines and model integration, backend … analytics solutions in production. Experience applying and deploying the latest frontier models is desirable.Preferred technical skills include:Core engineering: Python, REST APIs, microservices.AI and machine learning: PyTorch, TensorFlow, LangChain, LlamaIndex.Data and databases: SQL databases, Python data tooling, Pandas, NumPy.Frontend: React, Next.js, JavaScript/TypeScript, modern UI frameworks.Experience operating ...

Duration: 6 Months (Initial Duration) Start: ASAP Location: London (Hybrid) Pay Rate: £450 - £480 per day Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language … platforms such as Salesforce, AWS, Microsoft technologies, data platforms, or AI agent frameworks. * Familiarity with AI-assisted development tools and automation technologies. * Understanding of machine learning fundamentals. * Experience supporting the adoption of new technology within business teams. * A consulting, technology, startup, or other fast-paced commercial background. ...

further testing or re-testing. Interpret and curate data on plasmids and mobile genetic elements from genomic and metagenomic datasets. Collaborate with colleagues developing Machine Learning models for AMR prediction from genotype. Contribute to research to identify and investigate novel antimicrobial resistance mechanisms identified by Machine Learning ...

Engineer to join its expanding technology team. This is a great opportunity for a strong software engineer with commercial experience of AI, machine learning or generative AI to work on projects that are already being used across a large organisation.The successful candidate will work across the full development … security, monitoring and responsible useSkills:Strong commercial software development experience, ideally with C#/.NET and/or Python Hands-on experience with AI, machine learning or generative AI technologiesExperience working with Azure and cloud-based technologiesKnowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel ...

Build strong engineering practices across software development, data platforms, testing, deployment, and operational support. Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement. Champion the adoption of AI-enabled development practices to improve quality and delivery speed. Collaborate with senior stakeholders and enterprise clients … knowledge of cloud technologies, particularly Azure and modern data platforms. Strong understanding of Python, SQL, data architecture, distributed systems, and production environments. Experience delivering machine learning, AI, or advanced analytics solutions into production. Ability to balance strategic leadership with technical involvement in complex projects. Strong stakeholder management skills ...

reliable systems that power smarter decisions? You could be part of our team, joining our Pricing and Underwriting domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior … tooling and frameworks that enable teams to: ingest data store data transform data serve their own data products confidently Partner closely with: data scientists machine learning engineers Improve and evolve the overall data infrastructure Experiment with emerging technologies Explore open-source tools Engage with the broader tech community ...

scalable, reliable, and production-ready AI systemsProvide technical leadership and input into AI strategy, platform capabilities, and long-term roadmap decisionsMentor applied scientists and machine learning practitioners across the organizationAbout YouYou're a fit for the role of Lead Applied Scientist, Document Understanding if you have … Computer Science, AI, NLP, Machine Learning, Information Retrieval, or a related field, with demonstrable post-degree industry experience developing and deploying document understanding systems at scale. Hands-on depth across document analysis, information extraction, classification, knowledge representation, evaluation, and production deployment.Successfully taken advanced NLP and AI capabilities from ...

real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference … Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous ...

Senior Recruitment Consultant – Data, AI & Machine Learning (Contract/Interim) 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to dominate the fastest-moving market in tech? At Arrows Group, we know that in the world of AI and Machine Learning … Benelux/Dutch markets, helping our clients scale at pace. What you'll be doing: Lead a high-velocity Data/AI/ML contract desk, managing the full lifecycle from lead gen to deployment. Cultivate a deep network of immediately available freelance specialists (Data Scientists, ML Engineers, AI Researchers ...

building a governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. The Role At Canopius, our delivery teams are responsible for ensuring that business users can effectively … building a governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. This role is an opportunity to apply and develop your expertise in analytics engineering, data modelling ...

Inside IR35 Strong Java and Python development skills in mission-critical applications required. Proven experience building AI-based solutions in enterprise environments, including both machine learning and generative AI use cases, is highly desirable. Strong understanding of how AI can be applied to accelerate software development processes … technical support aligned to business priorities. A core focus of the role is to design, build and deliver enterprise-grade AI solutions, including machine learning and generative AI capabilities, that solve meaningful business problems and accelerate innovation. Identifies, prototypes and deploys AI-enabled solutions aligned to business needs ...

strategic and operational objectives.The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization.This position reports to the Senior Director, ERP Technology & Operations.Key ResponsibilitiesEnterprise Data & Analytics StrategyDefine … controls and regulatory requirements.Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions.Innovation, AI & Continuous ImprovementIdentify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics.Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies.Foster a culture of innovation ...

operational objectives. The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization. This position reports to the Senior Director, ERP Technology & Operations. Key Responsibilities Enterprise Data … requirements. Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions. Innovation, AI & Continuous Improvement Identify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics. Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies. Foster a culture ...