2,651 to 2,675 of 7,744 Machine Learning Jobs in the UK

other relevant regulatory guidelines . Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks . Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation . Experience collaborating with cross-functional, clinical, research, or remote teams . Compensation Competitive compensation ...

other relevant regulatory guidelines . Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks . Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation . Experience collaborating with cross-functional, clinical, research, or remote teams . Compensation Competitive compensation ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience #J-18808-Ljbffr ...

other relevant regulatory guidelines . Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks . Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation . Experience collaborating with cross-functional, clinical, research, or remote teams . Compensation Competitive compensation ...

other relevant regulatory guidelines . Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks . Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation . Experience collaborating with cross-functional, clinical, research, or remote teams . Compensation Competitive compensation ...

onboarding for quantitative products. Familiarity with credit research workflows and how portfolio managers, analysts and risk teams consume analytic output. Experience with cloud native machine learning platforms and with production monitoring of model performance and drift. Why Choose Fitch: Hybrid Work Environment: 3 days a week in office … required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower ...

optimization on large datasets.Nice-to-Haves• Apache Airflow (or equivalent orchestration) for scheduling and managing pipelines.• AWS experience (Azure or GCP equally welcome).• Machine Learning experience, particularly applied to geospatial or time-series problems.• Commodity trading exposure or understanding of how maritime data drives commodity markets.• Containerization ...

understanding of device intelligence or related domain: device fingerprinting, network traffic analysis, or protocol-level identification. Ability to define product requirements for AI/ML systems, including LLM-assisted workflows, clustering algorithms, automated labeling, and model lifecycle management. Networking and IoT protocol literacy: Wi-Fi 802.11ax/… such as Jira and Confluence. Fluency in English (spoken and written). What Will Make You Stand Out: A genuine curiosity about AI/ML and emerging networking technologies – you actively explore what’s next rather than wait for direction. Data-driven mindset: you ground decisions in evidence and customer ...

platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Knowledge of Enterprise Architecture frameworks such as TOGAF. Experience producing architecture documentation, standards and governance. Strong ...

readiness, runbook quality, and resilience patterns are consistently applied across services.People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence.Drive career development, performance management, and technical capability growth across the team.Collaborate with HR and Talent teams to build local hiring pipelines … managing cloud-native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

runbook quality, and resilience patterns are consistently applied across services. People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … managing cloud-native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. #J-18808-Ljbffr ...

high-quality production code, and review and debug code written by others across a primarily Go-based codebase, with a team culture that supports learning and growth across languagesIdentify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLead evaluation … delivering system design, application development, testing, and operational stabilityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)In-depth knowledge of the financial services industry and its technology systemsPractical cloud-native experienceExperience with Java, Spring Boot, Spring ...

cross-functional collaboration. Build an Inclusive Culture: Advocate for team health, inclusion, and diversity, while fostering a respectful and empowering environment that encourages continuous learning and improvement. Qualifications A proven track record as an Engineering Manager of growing and building high-performing engineers, teams, and processes. Experience … individual contributor or leader in the Search Domain. Worked closely with Machine Learning and Data Science colleagues. Worked closely in tandem with Design and Product, as either a Product Engineer in the past, or Engineering Manager, to build rich user experiences. You can work across the full-stack ...

/CD, application resiliency, and security Demonstrated proficiency in software applications and technical processes within a technical discipline (such as cloud, artificial intelligence, machine learning, or mobile) In-depth knowledge of the financial services industry and IT systems Practical cloud native experience Preferred Qualifications, Capabilities, and Skills: Experience ...

will need to have a passion for performance, a growth mindset and the drive to continuously learn, develop and improve. Our client encourages a learning culture and they embrace cutting-edge technology which will allow you to hone relevant, in-demand skills.They are a rapidly scaling company, so this … financial or transactional systems advantageous)Experience with concurrency, locking, idempotency and distributed consistencyExperience with message queues, background workers and workflow orchestrationExperience integrating AI/ML or decisioning services into backend platformsComfortable building systems that consume AI outputs and execute deterministic actionsAbility to design safety, audit and rollback mechanisms around automated ...

quality project delivery. Support proposals, reusable assets and new ideas that strengthen our Operational Analytics capability, while sharing knowledge and helping teammates grow. Keep learning as AI technology evolves, considering responsible use, explainability and appropriate governance throughout delivery. As part of your role you will also have the opportunity … client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE You should have a skillset that ...

data platforms within public sector, defence or other regulated environments • Experience working within secure environments and understanding associated security and assurance requirements • Exposure to machine learning or AI workloads and the data platforms that support them ...

equivalent, Fluency in English Artificial Intelligence and the future of Workday delivery: Shape solutions that make use of Workday's native AI and machine-learning capabilities to drive smarter delivery processes Apply Accenture's GenAI-enabled accelerators to speed up design, testing and documentation Help clients identify where … well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best WorkplacesTM. Join Accenture to work at the heart ...

Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities ...

improve data flows between systems, data platforms, reporting tools, and downstream applications to ensure accuracy, consistency, transparency and control. Identify opportunities to apply AI, machine learning, and automation capabilities across workflows, reporting, reconciliations, data management, and operational processes to improve efficiency, reduce manual effort, enhance data quality ...

/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with coding assistants and development harnesses to streamline software delivery. Hands‐on experience using enterprise-authorized AI-assisted software development tools ...

decisions, and deliverables with strategic objectives and business outcomes. Areas of Specialization Identity Security: Identity and access architecture across workforce, privileged, service, application and machine identities; identity governance, modern authentication, access lifecycle management, conditional access, PAM/PIM, federation, SSO, MFA, identity threat detection, and zero trust identity control … design. AI & Blockchain Architecture: Secure architecture and governance for AI, machine learning, generative AI, agentic solutions, distributed ledger technologies and blockchain-enabled platforms; including model and data protection, AI risk controls, prompt and output security, smart contract assurance, tokenization, wallet/key management, privacy, auditability, regulatory alignment ...

managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational ...

willing and eligible to hold SC and eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems ...