626 to 650 of 1,241 Machine Learning Jobs

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Deep knowledge of data transformation and ETL pipelines and APIs Desirable Skills & Experience: Experience with graph databases and advanced query languages Knowledge of machine learning data pipelines and MLOps practices Familiarity with data virtualisation and data mesh concepts Experience with IaaC, containerisation and orchestration, BI/visualisation tools ...

validate, and deploy predictive models using real-world data Experience working with time-series data and sensor-driven datasets Solid understanding of statistical methods, machine learning techniques, and model validation approaches Experience working in Python or similar, with relevant scientific and data libraries Ability to work closely with ...

Proven experience in a product leadership role, managing a high performing team Knowledge of auction theory, bidding and pacing strategies, dynamic pricing models or machine learning concepts related to auctions or marketplaces Experience with the following: Championing a product vision and being accountable for its success. Structuring work ...

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 ...

best practices focused on de-biasing the whole recruitment cycle. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. Our diverse, multi-cultural ...

customers use to operationalize spatial data. Strong knowledge of cloud platforms, security architecture, and authentication technologies (e.g., AWS, SAML, OAuth). Working understanding of machine learning and AI concepts as applied to data-driven products. Willingness and ability to travel up to 50% as business needs require. ...

such as AI, immersive tech AR/VR, sensors, and cloud platforms. Key skills: GCP Cloud/Kubernetes JavaScript, Python or Java AI/ML/Generative AI UX/UI understanding Unity or 3D engines desirable 2 click apply for full job details ...

leading analytics company in London is seeking a Senior Principal Data Scientist to provide technical leadership in advanced analytics and machine learning. This role involves mentoring fellow data scientists and collaborating with cross-functional teams to deliver data-driven solutions, with a focus on the aviation sector. Ideal candidates ...

including LLM integration, APIs, and agentic modules Architect secure, cloud-based AI systems (AWS/GCP preferred) Collaborate with teams to optimise AI/ML pipelines and deployment Translate complex AI architectures for clients and business leaders What we’re looking for: Experience delivering agentic AI solutions in production Hands ...

development or enterprise sales in digital transformation. Proven experience selling to Retail, CPG, Insurance, or Manufacturing industries. Strong knowledge of Data, Cloud, AI/ML, and GenAI solutions. Experience managing or mentoring sales teams. Excellent communication, presentation, and negotiation skills. Bachelor’s degree in Business, IT, Marketing, or related field ...

complex unstructured data (documents, images, PDFs) and help design intelligent, production-ready AI solutions. What you’ll be doing Analysing and optimising AI/ML models (especially LLMs) Applying statistics, probability, and optimisation techniques Designing GenAI workflows, prompts, and agentic pipelines Extracting insights from unstructured data Leading technical decisions ...

fintech, digital banking, or data-driven products Strong experience managing backlogs, user stories, and agile delivery Solid understanding of the AI/ML lifecycle and working with technical teams ...

cross-platform data analytics + data sharing. Defining target state technical patterns for how multiple platforms converge/coexist including: data engineering, data storage, ML/AI, BI, security + governance. Target architecture blueprint including concrete reference architectures, pattern catalogues + technical guardrails. Cross cloud integration patterns including: networking, identity ...

APIs, databases, and system design ✅Familiarity with Linux, Cloud, DevOps, and CI/CD ✅Comfortable working in Agile teams ✅Bonus: experience with AI/ML or distributed systems You should be a strong problem-solver, detail-oriented, and able to work in a fast-moving environment. Please get in touch ...

skills. Tech Stack: Frontend: React, TypeScript Backend: Java 17+, Python (FastAPI) Databases: NoSQL Cloud: GCP or equivalent DevOps: Docker, CI/CD Experience with ML pipelines and media processing is a plus They are looking to pay up to £100K base + benefits. It’s a hybrid role with travel ...

management tool Key Skills: Knowledge of GCP Cloud architecture, development and deployment (K8s) Coding (JavaScript, Python, Java, etc.) UX/UI design AI/ML, generative design, 3D engines (e.g. Unity ...

Clearance. Core Responsibilities Translate business requirements into Azure-native AI solution architectures Design end-to-end architectures using Azure OpenAI, Azure AI Search, ML, data platforms, compute, networking, and identity Select and define architecture patterns (RAG, agentic workflows, streaming vs batch, hybrid approaches) Define non-functional requirements: security, scalability, performance ...

building and operating distributed systems in cloud-native environments Hands-on experience with Kubernetes , containers, and infrastructure tooling Experience with LLM applications, AI/ML platforms, or production AI systems Familiarity with agent frameworks , orchestration patterns, or multi-model workflows Experience with RAG , embeddings, vector databases, or retrieval systems Strong ...

operating distributed systems in cloud-native environments Hands-on experience with Kubernetes, containers, and infrastructure tooling Experience with L L M applications, AI/ML platforms, or production AI systems Familiarity with agent frameworks, orchestration patterns, or multi-model workflows Experience with RAG, embeddings, vector databases, or retrieval systems Strong ...

Looking For Proven experience leading engineering teams in SaaS environments Strong understanding of full-stack systems and API-driven architecture Experience delivering AI/ML/GenAI-powered features into production Solid knowledge of LLMs, prompt engineering, RAG, or agent-based systems Experience working closely with Data Science/Data ...

performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures ...

performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures ...

LDAP). Embed Zero Trust and least privilege principles across enterprise systems and privileged roles. Develop and automate identity governance processes, leveraging AI/ML for anomaly detection and remediation. Oversee Conditional Access, risk-based authentication, and device/state-based access controls. Integrate IAM with HR, IT, and engineering ...

improvement Ensure products meet regulatory, legal, and responsible AI standards Use data and insights to measure success and guide decisions Tech & environment AI/ML concepts including LLMs, NLP, and automation tools Agile product delivery Workflow optimisation and service design Regulated, data-sensitive environments Strong focus on UX and user ...