851 to 875 of 1,401 Permanent Machine Learning Jobs

accelerators, and reusable frameworks as the CoE scales What We’re Looking For Minimum 3 years’ experience building and deploying Generative AI or applied ML systems Strong hands-on engineering background – you actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines ...

ability to work independently across multiple concurrent projects Desirable Experience with MACH architecture applications Omni-channel commerce experience Exposure to customer lifecycle management, CDP, ML, or data lakes Knowledge of search, SEO, web analytics, order management, payments, or fulfilment Familiarity with CMS, DAM, PIM, or inventory management platforms Understanding ...

Professional insurance designations (CPCU, AIC, or similar) Experience with API-first architectures and system integrations Knowledge of InsurTech trends including automated underwriting, Gen AI & ML applications, and digital distribution channels Understanding of actuarial concepts and rating algorithm implementation Experience with cloud-based Insurtech solutions and SaaS/PaaS delivery models ...

platforms, or digital assistant products. Strong understanding of LLMs and AI-driven product value drivers. Experience collaborating closely with engineering teams on AI/ML-based solutions. Excellent communication, stakeholder management, and problem-solving skills. Preferred Qualifications Hands-on familiarity with prompt engineering, context management, and system instruction design. Experience ...

with the ability to challenge convention. Strong understanding of automation, workflow optimisation, and process re-engineering. Ability to translate complex ideas (including AI/ML concepts) into simple, clear language. Experience working in agile product development environments. Desirable Experience working in regulated environments or with legal workflows. Thorough understanding ...

benefit: Image Processing Algorithms : Segmentation, Filter Design, Noise Removal, Compression, Super Resolution Computer Vision Algorithms : Tracking, Optical Flow, Particle Filtering, Pose Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain …/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/Simulink and Python (including PyTorch Deep Learning libraries). What's in it for you? Every day you will work in a friendly and motivated team You will play ...

sharpness in problem solving. Evidence of personal agency in driving toward net optimal outcomes. Strong machine learning priors, ideally with experience training ML models for production use-cases. Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes. Attention to detail. ...

roadmap for AI platforms across the business. You’ll work closely with data, engineering, and product teams to enable the development and deployment of machine learning and AI solutions that drive real organisational impact. Key areas … work with from day one are Microsoft copilot studios & Foundry. The AI Engineer should have experience in: Strong experience in AI/ML platform or data platform teams Experience with Terraform, VNets, Networking Experience with cloud platforms (Azure, AWS, or GCP) Strong stakeholder management and communication skills Experience shaping platform ...

Platform Engineer | London (Hybrid) | Up to £115,000 We're partnering with a leading UK fintech on a senior hire inside their AI and Machine Learning team. This is a platform-first role. The team is building the foundational AI infrastructure the rest of the business will … work that matters more the bigger the organisation gets. What you'll be working on Designing and building cloud infrastructure for hosting and serving ML and GenAI models at scale Owning the LLM gateway — standardising model usage, monitoring, cost control, and quotas across the business Building frameworks and tooling that ...

system went from <1 to 80 checkouts/second (800k req/s at CDN level) in less than a minute. Complex state machine : we need to manage the lifecycle of pre-orders across many disparate third-party systems (ERPs, OMSs, 3PLs, Shopify, Stripe). Different use cases … communicate more effectively). As we scale we are discovering every day what does and does not work - you need to be comfortable with learning from failure. Desire to release early and iterate: you are happiest when the things you build go live. We make heavy use of feature ...

data solutions, ensuring platforms are scalable, secure, resilient, and commercially effective from concept through to production. Key areas of focus include: • Enterprise AI and machine learning architecture • Databricks, AWS, and Snowflake ecosystems • RAG, vector databases, and agentic AI orchestration • Cloud-native, API-driven, and event-driven architectures • FinOps … leadership and stakeholder engagement skills. Ideal experience includes: • 15+ years within solutions architecture, enterprise architecture, or senior technical leadership • Extensive experience designing AI/ML and cloud-native platforms at scale • Strong expertise across AWS, Databricks, Snowflake, Python, and SQL • Experience delivering scalable and operationally mature AI solutions • Insurance ...

tooling .Knowledge of modern software development practices, testing, CI/CD, and cloud-native environments .AI & Automatio nPractical experience leveraging LLMs, AI agents, or machine learning systems within security workflows .Ability to evaluate, implement, and operationalize AI technologies that deliver measurable research acceleration .Experience building AI-assisted tooling … bias toward execution .Ability to navigate ambiguity, solve difficult technical problems, and deliver outcomes with minimal supervision .Passion for innovation, experimentation, and continuous learning . Technologi esVulnerability Research, 0-Day Research, N-Day Analysis, Patch Diffing, Exploit Development, Reverse Engineering, Offensive Security, Red Teaming, Security Research, Binary Exploitation ...

modelling capabilities to support client projects and internal innovation. Specifically, you can expect to be involved in the following: Develop and enhance AI and machine learning models, including scorecards and predictive models. Work on innovative use cases such as chatbots, transformers, and LLM-based applications. Conduct research … credit risk within a lender (bank, fintech) or credit reference agency. Strong background in model development, ideally scorecards. Hands-on experience with AI/ML techniques (e.g. LLMs chatbots, predictive models) Strong SQL and Python skills BENEFITS The successful AI Consultant will receive a salary ...

time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business - At LexisNexis Intellectual Property (LNIP), we believe that … more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed ...

using PLCs, SCADA systems, and other control technologies to streamline operations and improve productivity. Intelligent Systems Assistance: Contribute to the implementation of data analytics, machine learning algorithms, and AI-driven solutions to enhance process control and decision-making under guidance. Collaborative Projects: Work closely with cross-functional teams … practices. Job Qualifications REQUIRED: BS/MS in Engineering (e.g., Electrical, Power, Controls, or Automation Engineering). Basic understanding of process and/or machine control concepts. Familiarity with sensors, motors, PLCs, and industrial automation principles. Ability to work in person at our Greensboro, NC facility. PREFERRED: An Electrical ...

traction and are now operating at enterprise scale. Their products are widely adopted across industries, with a strong focus on innovation in AI and machine learning. The environment is collaborative, product-led, and focused on delivering measurable outcomes. The Role Define and build evaluation frameworks to measure the performance … commercial experience in data science or product analytics within a product-led organisation Advanced proficiency in Python and SQL Experience working with AI or machine learning products, particularly NLP or text-based data Strong understanding of experimentation, evaluation frameworks, and statistical analysis Ability to work with large, complex ...

solutions; strong familiarity with Microsoft 365 and the Power Platform is advantageous. Knowledge of AI and data-driven solutions (including Generative AI, NLP and machine learning) and their practical application to legal workflows. Strength in requirements gathering, solution scoping, process mapping and change management; able to translate complex … manage multiple engagements, prioritise effectively and see initiatives through to completion. Credibility and intellectual rigour, with strong listening skills and a commitment to continuous learning and innovation. Confident, positive approach; comfortable interacting with individuals at all levels of the organisation. ...

track, communicate, and help resolve outstanding technical issues related to AI products such as Harvey, and other tools as they become available. • Collaborate with Learning & Development on training initiatives, including scheduling, preparing materials, and delivering training sessions on AI solutions as needed. • Help manage and resolve support tickets, ensuring … years of experience in a product support, business analyst, or technology support role, ideally within a professional services or legal environment. Experience with AI, machine learning, or legal technology tools is highly desirable. Skills: Strong organizational and documentation skills, with the ability to track user issues and maintain ...

manage their counterparty credit risk, market risk, regulatory risk capital, and derivative valuation adjustments. Our innovative technology stack includes a fully vectorized pricing library, machine learning, and big data solutions, enabling scalability and precision. Our products are trusted by the largest tier-one banks as well as smaller … processes and systems, understanding how their work contributes to end-to-end delivery. Actively seeks to improve quality and accuracy of outputs through continuous learning and curiosity. Collaborates with colleagues across teams, contributing to shared goals and delivering high-quality outcomes. We require all candidates who reach the final ...

native services, and advanced DevOps tooling to deliver secure, scalable, and high-performing solutions. We work closely with partners across the Group, including Data & Machine Learning, Consumer Lending, and Cloud Services, to deliver strategic account data products and enable the next generation of banking services. We’re committed … robust monitoring, alerting, and incident response processes are in place to maintain high availability and reliability of banking services. Foster a culture of collaboration, learning, and inclusion, supporting the professional development of team members and promoting diversity in all its forms. What we’re looking for: Strong engineering background ...

data products that create measurable business value. The successful candidate will own product strategy, roadmap definition, prioritisation, and delivery across initiatives including data platforms, ML-enabled services, analytics products, and operational data capabilities. Key Experience Required: • Strong Product Management experience within technology-first businesses • Background working in fast-paced, high … growth, or digitally mature environments • Experience partnering closely with Data Engineering, Data Science, and ML teams • Proven delivery of data products, AI-enabled solutions, or modern data platforms • Ability to balance commercial outcomes with deep technical collaboration ...

similar) Proven experience in Data Previous technical experience as a Developer or Engineer Financial product/traded product knowledge is desirable Any experience with Machine Learning/Large Language Models (LLM)/Data Science is desirable. Excellent communication skills Salary: Excellent + bonus + package Location: London (good ...

experience, ideally FreeRTOS Experience with embedded communications protocols Strong debugging and problem-solving skills Nice To Have Nvidia Jetson Embedded Linux Edge AI/Machine Learning TouchGFX IoT connectivity Embedded cybersecurity ...

business is to employ these to enable accurate and timely data-driven decision-making. Any experience of working with or implementing AI or Machine Learning in a software products environment would be ideal. Data Reporting Engineer - SQL, Azure, ADF, Qlikview, Power BI, DAX, SSRS, Python, JavaScript, ERP, Data ...

years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding ...