1,076 to 1,100 of 1,470 Permanent Machine Learning Jobs

Office programs) Desired Experience/Skills: Experience with image processing development packages such as Halcon or OpenCV Ability to train CNNs and utilize traditional machine learning methods Knowledge of statistical analysis approaches and MEE concepts Ability to interface with Database Management Systems Experience with Metrology, Inspection and Product ...

business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar. Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations. Previous track record of product management/Project Management within AI, MedTech oriented ...

background in data and technology, including data platforms, data products, APIs, and enterprise adoption mechanics/li li Working knowledge of artificial intelligence and machine learning concepts and how they are applied in financial services/li li Ability to engage credibly in technical architecture discussions and business ...

working in Docker-based environments Familiarity with modern development workflows (Git, CI/CD) Comfortable working with large, interlinked code bases. Interest in robotics, machine learning, or scientific computing applications Preferred Experience Built data-heavy dashboards and monitoring tools that present telemetry clearly and reliably Familiarity with Rust ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path Candidates will complete project-specific training and qualification assessments before joining ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path Candidates will complete project-specific training and qualification assessments before joining ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path Candidates will complete project-specific training and qualification assessments before joining ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path Candidates will complete project-specific training and qualification assessments before joining ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path Candidates will complete project-specific training and qualification assessments before joining ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Kubernetes, Kafka, React, LLMs The role requires strong experience in a back-end language, solid SQL skills, and a good understanding of AI/ML in production environments. You should be comfortable working across both technical and business domains, with a track record of delivering scalable systems. This ...

improving systems, and working closely with the business in a fast-paced trading environment (this is not a quant, data engineering or AI/ML role). You will sit within Front Office Technology supporting the Fixed Income trading desk which develops the core platforms that underpin trade capture, execution ...

engineering team YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Expertise in Python, SQL, and TypeScript Proven experience building AI/ML systems in production environments Strong understanding of hybrid software + data engineering challenges Experience working at scale with complex datasets or platforms THE BENEFITS: You will ...

analytics, AI-assisted insight Comfort with ambiguity, and a bias for commercial impact over technical perfection Microsoft ecosystem fluency (Power Platform, Azure AI) and ML use cases — forecasting, pipeline-to-flow modelling, opportunity scoring — will set you apart. The firm offers hybrid working, strong benefits, and clear development pathways. ...

/Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer/ML Engineer/Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph/ ...

results-driven mindset with strong attention to detail. Ability to work independently while collaborating effectively with cross-functional teams. Experience with AI/ML integrations or intelligent automation is a plus. Pay Range: $70 - $78/hr. on W2 The specific compensation for this position will be determined ...

platform's infrastructure. 🎯 What is Required: 2 to 5+ years of sales or business development experience in the cloud computing, AI/ML, or enterprise software industries. A good understanding of how Large Language Models (LLMs), tokens, and AI workflows work. You need to be comfortable speaking with engineers. ...

systems that process real-time data from distributed edge devices Lead technical decisions across architecture, tooling, and system design Collaborate with data scientists and ML engineers to deploy models into production Mentor engineers and contribute to engineering best practices Improve observability, monitoring, and incident response processes Write maintainable, well-tested ...

mining business critical data flowing across the CEP and how to present data in usable management report format Experience delivering enterprise-grade AI/ML-powered contact centre features such as sentiment analysis, speech-to-text, or real-time agent assist An understanding of emerging contact centre technology and next ...

practice guidance. Disaster Recovery: Design and implement DR and business continuity strategies with multi-region deployments. Innovation: Evaluate and adopt emerging technologies (AI/ML, IoT, serverless) to drive continuous improvement. Required Skills & Experience Deep expertise in Google Cloud Platform (GKE, Compute Engine, BigQuery, VPC, IAM, Load Balancing). Strong ...

full enterprise sales cycles, from early value‐led conversations through to contract signature Leading C‐level discussions around Lakehouse architecture, advanced analytics, AI/ML, and data modernisation Translating complex business challenges into Databricks‐enabled solutions and roadmaps Building and managing a strong pipeline of large, multi‐stream transformation opportunities ...

exciting new role at a growing company with clear routes of progression to architect level, and the opportunity to get involved with ML, AI and modern data platforms. On offer is a salary of £50k - £58k, a great benefits package (as outlined at the bottom) and a flexible working pattern ...

services and infrastructure as code (Terraform preferred) Proven experience building and maintaining CI/CD pipelines Exposure to or strong interest in AI/ML integration or AI-assisted development workflows Ability to mentor others and contribute to a high-performing engineering culture Strong problem-solving skills and a proactive ...

feel like a typical year) Background requred: – Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, with strong software engineering foundation – Experience taking agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such ...