2,051 to 2,075 of 2,683 Remote/Hybrid Machine Learning Jobs

renewal of ExP business What you will need:Consulting and/or CxO roles with 15+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Block Chain, Big Data, CLOUD, etc.) Industry background can be varied and we welcome applications from individuals from Public Sector, consumer centric industries, manufacturing ...

been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester … disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with ...

database designREST APIs and microservicesJavaScript, TypeScript, HTML5 and CSS3Experience working within Agile/Scrum teams Desirable Skills AzureBlazorEntity Framework/EF CoreAI or Machine Learning integrationsDocker and containerisationCI/CD pipelines and DevOpsGit version control Benefits Fully remote working40,000 - 50,000 salary (DOE)25 days holiday + … bank holidaysCompany pensionOngoing learning and professional developmentOpportunity to influence technical decisions and architectureSupportive, collaborative engineering cultureIf you're looking for a role where you can work with modern Microsoft technologies, contribute to meaningful projects and have genuine influence over technical direction, I'd love to hear from you.Oscar Associates ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … technical execution of onboarding new regulatory requirements, ensuring the platform is adaptable to evolving global compliance standards.AI & Automation Integration: Apply knowledge of AI/ML concepts to explore and implement intelligent automation, anomaly detection, or data classification solutions within the regulatory reporting pipelines.Hands-On Development: Write clean, robust, and testable ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … execution of onboarding new regulatory requirements, ensuring the platform is adaptable to evolving global compliance standards. AI & Automation Integration:Apply knowledge of AI/ML concepts to explore and implement intelligent automation, anomaly detection, or data classification solutions within the regulatory reporting pipelines. Hands-On Development: Write clean, robust ...

Extra Credit, or The Focus Areas You Will Develop Experience with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions … specific Competitive salary and unlimited PTO Generous healthcare benefits with medical, dental and vision coverage Monthly catered lunches and happy hours Company-paid learning and development assistance Dependant care assistance plan UK specific Competitive salary, pension and benefits Generous private medical healthcare insurance with dental and vision coverage Extra ...

standards. Work effectively with engineers, product managers, operations, security, and customer-facing teams. Communicate progress, risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker … following areas: Data engineering or data platforms, including ingestion, processing, storage, or pipelines IoT, device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/ ...

standards. Work effectively with engineers, product managers, operations, security, and customer-facing teams. Communicate progress, risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker … following areas: Data engineering or data platforms, including ingestion, processing, storage, or pipelines IoT, device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/ ...

e.g., migrating core insurance systems, leveraging cloud for data analytics).Deep understanding of modern data architectures, data governance, and the application of AI/ML/GenAI in insurance (e.g., intelligent automation for claims, predictive analytics for underwriting, fraud detection). Experience in designing and overseeing AI-driven solutions.Ability … proposition development.Prior experience in a consulting environment, managing client engagements and delivering value-added technical solutions.Experience in coaching and developing technical talent, fostering continuous learning and technical excellence.Knowledge of emerging AI technologies and their potential applications and risks.Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation ...

responsible for building and operating the data foundations that support a wide range of customer-focused use cases, including Customer 360, analytics, AI/ML, marketing and data-driven commercial initiatives . This is a hands‐on engineering role for someone who enjoys solving complex data problems, building scalable solutions … data ingestion and transformation pipelines for high-volume customer data. Develop robust, reliable and production‐grade data solutions supporting Customer 360, analytics, AI/ML, marketing and commercial use cases . Contribute to solution design and technical architecture , taking a holistic view of systems, integrations, dependencies and potential risks. Build ...

data governance, access control, and security practices in cloud environments.Experience with large-scale ETL/ELT design and migration programmes.Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms.Demonstrated experience with cloud cost management and FinOps practices.Experience managing vendor contracts, procurement, and commercial negotiations.Strong stakeholder … working knowledge of modern cloud data platforms (Azure Databricks/Spark using Python and associated frameworks, or Snowflake equivalent).Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms.Strong working knowledge of cloud storage solutions (Azure Data Lake, Blob storage, or equivalent).Strong experience ...

/ML Engineer Location: Hampshire/Hybrid - 2 days per week onsite Salary: £60,000 per annum + benefits Are you an experienced AI/ML Engineer who enjoys tackling complex technical problems and turning research into practical solutions? We're looking for a hands-on AI/ML professional … Computer Vision and Reinforcement Learning , depending on your experience. What you'll be doing Researching and evaluating state-of-the-art AI/ML techniques. Adapting academic research and existing algorithms to solve real-world problems. Designing, developing and testing AI/ML solutions. Building hands-on AI/ ...

technical stakeholders. Required Skills Python — Strong software engineering and application development experience. Application Engineering — Experience building, testing, and deploying production applications. AI/ML Integration — Experience integrating AI/ML capabilities into applications and workflows. APIs & System Integration — Experience with APIs, enterprise systems, third-party platforms, and data sources. LLMs … solutions that are scalable, secure, and aligned to business objectives. Experience & Qualifications Typically 5+ years' experience in software engineering, AI/ML engineering, or a related technical discipline. Experience building and deploying AI/ML or Generative AI applications. Strong problem-solving skills and comfort working with incomplete or evolving ...

Group in the UK is seeking a Data Scientist to join our hybrid team in London or Manchester. You will build, evaluate and productionise machine learning solutions across recommendations, personalisation, customer modelling and predictive … modelling to improve customer experience and business outcomes. You will work closely with Product, Engineering, MLOps and Marketing to translate defined problems into practical ML approaches, ensure robust evaluation, and deliver high-quality, #J-18808-Ljbffr ...

another low-level systems language.Good understanding of real-time graphics and the GPU pipeline, with exposure to a modern graphics API.Foundational knowledge of machine learning/neural networks and interest in applying them to graphics.Ability to independently prototype, evaluate and communicate technical ideas in an R&D environment … technology, and neural graphics. You will work alongside experienced engineers in a collaborative and friendly team where asking questions, experimenting with ideas, and learning from others are encouraged.You will have opportunities to work on emerging graphics technologies, contribute to real-world engineering investigations, and gradually take on greater technical ...

level systems language. Good understanding of real-time graphics and the GPU pipeline, with exposure to a modern graphics API. Foundational knowledge of machine learning/neural networks and interest in applying them to graphics. Ability to independently prototype, evaluate and communicate technical ideas … technology, and neural graphics. You will work alongside experienced engineers in a collaborative and friendly team where asking questions, experimenting with ideas, and learning from others are encouraged. You will have opportunities to work on emerging graphics technologies, contribute to real-world engineering investigations, and gradually take on greater ...

Resources is partnering with an innovative deep-tech firm to recruit an applied Machine Learning engineer in the UK. You will help build simulation environments, frameworks and tooling for next‐generation computing workloads. The role offers ownership of system architecture across software and hardware stacks, with remote ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

Capital One Europe is seeking a Data Scientist - Model Developer/Statistician in Nottingham. The role focuses on developing and maintaining underwriting models, with a strong emphasis on statistics, feature generation, and model risk management. ...

Mackin Talent is seeking a Technical Project Manager for a 12‐month contract in London (Kings Cross). The role collaborates with researchers, engineers, product, legal and policy teams to drive programs and remove blockers. ...

Markerstudy Group is seeking a Technical Pricing Manager to develop pricing models and optimise pricing across portfolios. The role emphasises producing incremental lifetime value and integrating advanced data science methods to improve model accuracy. You ...