376 to 400 of 1,141 Permanent Machine Learning Jobs

science and analysis in counter fraud areas. Demonstrate practical expertise of data science including tools, detection techniques and standards used in counter fraud (e.g. ML/DL/GenAI/Analytics and statistics. Including the application of data science with unstructured data (LLMs) Engage with stakeholder to ensure appropriate context … applied to data and insights from detection approaches. Develop and implement AI/ML algorithms to detect emerging fraud patterns while ensuring compliance with all laws, professional practice, government and internal frameworks. Collaborate with counter-fraud experts and domain experts in the NHS Communicate progress and outcomes to senior managers ...

organisational structures that enable data democratisation. D&AI Use Case Development & Value Realisation : End-to-end advisory from identifying high-potential AI/ML opportunities to developing business cases, prioritising implementation roadmaps, and establishing ROI measurement frameworks to track and demonstrate value. D&AI Architecture & Platform Advisory : Combining architectural assessments … data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within a wider technology function or a business unit. Experience of helping organisations ...

team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support … performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills ...

cases aligned to business drivers Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender … search, embeddings) ✅ What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management ...

extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability ...

Develop and optimise ETL/ELT processes to support reporting, analytics, and AI use cases Partner with data scientists and process engineers to productionise machine learning models and large language models Ensure data platforms are performant, cost-effective, and scalable across data warehouse and lakehouse environments Evaluate ...

communication skills, with the ability to work with both technical and business stakeholders. Useful Certifications (Not Essential) Databricks Data Engineer Associate/Professional Databricks Machine Learning Associate/Professional Databricks Generative AI Fundamentals Databricks Lakehouse Fundamentals What You'll Do Design and implement modern Lakehouse solutions that optimise ...

drive continuous improvement. What You Bring Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration. Deep understanding of large language models, machine learning frameworks, and AI architectures. Proficiency in programming languages (Python, Java, C#). Strong analytical and problem-solving skills for complex system design. Experience ...

environment. Experience working in a global team Experience working 100% remote Experience of the ResTech industry Experience with Salesforce Knowledge of statistical analysis and machine learning concepts. Experience with Tableau, Looker, or Sigma Additional Information Our Values Collaboration is our superpower We uncover rich perspectives across the world ...

Understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, and Splunk. Advanced Tech: Knowledge of AI and ML tools is a plus. Certifications: Google Associate Cloud Engineer or Data Engineer certification is a plus. Experience in data engineering or data science. Bonus Programme ...

Stats: You must have an excellent grasp of Linear and Logistic Regression . You understand the assumptions, limitations, and interpretability of these models. Advanced ML: Experience with boosting models is essential for our higher-complexity tasks. Analytics Patterns: A core ability to creatively analyse a raw dataset and spot trends ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts , including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering ...

real time simulation platforms. Familiarity with optimization techniques and advanced estimation methods. Background in robotics, electromechanical systems, power systems, propulsion, or automation. Knowledge of machine learning or reinforcement learning applied to control systems. Experience with data acquisition, sensor/actuator interfacing, and lab testing environments Compensation ...

demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java/Full Stack/DevOps plus Data Analytics/Data Engineering/Data Science/Machine Learning/AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers ...

inference and data processing Own cloud infrastructure (AWS), deployment pipelines, monitoring, and security controls Collaborate with the AI research team to deploy and serve machine learning models in production Establish engineering best practices across code review, testing, CI/CD, and documentation Data Architecture & Integration Design and maintain … requirements Comfortable making architectural decisions that balance speed, quality, and regulatory compliance Also Valuable Experience with healthcare data interoperability (FHIR, HL7, DICOM) Exposure to ML model serving, MLOps pipelines, or ML frameworks (TensorFlow, PyTorch) Understanding of GDPR, HIPAA, or UK Data Protection Act compliance Experience with Infrastructure as Code (Terraform ...

focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java/Full Stack/DevOps and Data Analytics/Data Engineering/Data … Science/Machine Learning/AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews ...

success by ensuring clients feel confident, supported, and excited about what they’re building What You’ll Work On Advising customers on GenAI and machine learning best practices Delivering tailored demos for both technical and non-technical audiences Running strategic business reviews alongside the sales team Partnering closely … influence the roadmap Identifying opportunities to grow and expand within existing accounts What We’re Looking For Hands-on experience as a Data Scientist, ML Engineer , or working with AI/ML solutions in production Strong understanding of the ML lifecycle (feature engineering, training, deployment, real-time scoring) Familiarity with ...

greenfield product at an early stage Own a core product pillar (audio + AI) from day one Collaborate across embedded, cloud, and ML teams High autonomy in a low-ego, high-performance environment Competitive salary + equity Strong long-term growth and learning opportunities The Role You’ll take … full ownership of the audio subsystem, spanning real-time embedded processing through to cloud-based audio pipelines and ML integration. This role sits between embedded engineering and backend/AI — ideal for someone who enjoys both low-level systems and higher-level software. Key Responsibilities Design and build ...

secure development ensuring security is embedded in the SDLC through practices. Foster a collaborative, inclusive, and high-trust engineering culture where innovation and continuous learning are valued. Engineering Innovation Own and drive the AI strategy across the engineering organization through product-facing AL capabilities and internal engineering productivity tooling. … coding tools (e.g., code generation, automated testing, AI-powered code review) across the team. Collaborate with product leadership to identify opportunities where AI and machine learning can enhance Beazley Security’s cybersecurity service offerings and client value. Stay current with advancements in AI and assess its applicability ...

clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide … RBAC, IAM, encryption).* Excellent communication, stakeholder engagement, and problem-solving skills. Highly Valued Certifications* Databricks Certified Data Engineer (Associate/Professional)* Databricks Certified Machine Learning (Associate/Professional)* Databricks Generative AI Fundamentals* Databricks Lakehouse Fundamentals Why Join Us?* Generous annual leave and private medical insurance.* Strong focus ...

clients design, build, and scale modern data platforms. You will play a pivotal role in shaping Lakehouse architectures that enable advanced analytics, AI/ML, and enterprise-wide data-driven decision-making.Working closely with clients early in their data journey, you will assess business needs, define architectural direction, and guide … RBAC, IAM, encryption).* Excellent communication, stakeholder engagement, and problem-solving skills. Highly Valued Certifications* Databricks Certified Data Engineer (Associate/Professional)* Databricks Certified Machine Learning (Associate/Professional)* Databricks Generative AI Fundamentals* Databricks Lakehouse Fundamentals Why Join Us?* Generous annual leave and private medical insurance.* Strong focus ...

another Indo-Aryan or South Dravidian language, plus broad knowledge of other languages in either of those two groups. Perform linguistic error analysis of machine translations and identifying the most frequent and severe error categories Strong skills in pattern recognition, cross-functional communication, and multitasking Experience with Python Experience … Must have some experience with applying basic Natural Language Processing techniques. Experience: Years of experience: 0-3 Experience working cross-functionally Experience collaborating with machine learning, NLP, or software engineers, or data scientists Experience contributing to research papers Important: Preferably no known conflicts of interest in the fields ...

Machine learning concepts (model versioning, evaluation, monitoring, drift detection, CI/CD for models, feature stores) and collaboration with data science/ML engineering. Practical exposure to AI frameworks/platforms Understanding of responsible AI practices Experience effecitively using AI tools to accelerate development (ClaudeCode, CodeX, Windsurf, Copilot ...

software development activities and support engineering standards for scalable, maintainable codebases Design, build, test and maintain Python-based applications and services Integrate AI/ML components into engineering tooling in collaboration with data scientists and senior engineers Contribute to system and architecture design combining software engineering principles with AI capabilities … software engineering experience, ideally within engineering, industrial or scientific environments Strong hands-on experience developing production-ready applications in Python Exposure to AI/ML technologies or integration of data-driven components into software systems Experience deploying and supporting applications in production Familiarity with cloud platforms, preferably AWS Experience working ...

alongside relevant professional certifications (e.g. Power BI, Azure, AWS, Data Engineering, Analytics). Experience using Python for data handling, automation, or analytics. Exposure to machine learning techniques and advanced statistical modelling. Equal Opportunity Statement This is not an exhaustive list, and we welcome applications from candidates ...