1,376 to 1,400 of 1,561 Machine Learning Jobs

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

native architectures preferred) CI/CD pipelines, GitHub Docker, Kubernetes, Terraform Secure coding practices (OAuth, JWT, SSL) Observability, logging, and monitoring tools Familiarity of ML/AI technologies Key Competencies Strong analytical and troubleshooting skills Excellent written and verbal communication abilities Customer-focused mindset Ability to work independently and collaboratively … Commitment to continuous learning and technical growth Why Join OPC, GTC, and GSOC? Work on impactful, mission-critical enterprise systems Contribute to modernization and cloud transformation initiatives Grow your technical leadership capabilities Be part of a collaborative, innovation-driven IT organization ...

expand AI professional services offerings, contributing to go-to-market strategies and pre-sales activities including proposals and solution positioning Collaborate with Data Scientists, ML Engineers, and cross-functional teams to deliver end-to-end AI solutions that combine technical excellence with business impact Drive innovation by contributing … internal capability development REQUIREMENTS Proven track record of building and delivering large-scale AI systems from concept to production, with expertise in Generative AI, ML frameworks, and MLOps Strong consulting and advisory skills, with the ability to navigate ambiguity and maintain focus on client success in fast-paced environments Demonstrated ...

require a Data Science Consultant to join their Defence & National Security team. You will design, build, and deploy scalable data pipelines and AI/ML solutions that directly support vital national security projects. In order to be successful, you will have the following experience: Experienced in the Python data stack … ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere ...

Disney's Security Solution Review Process, conducting deep technical assessments and shaping enterprise adoption strategies for next-generation capabilities. Assess and secure AI/ML implementations across the enterprise, performing risk-based evaluations to identify threats such as model manipulation, data leakage, and adversarial attacks, and recommending practical mitigation strategies. … security risks into clear, actionable guidance for both technical and non-technical stakeholders. Exposure to emerging technologies and security challenges, such as AI/ML systems, Zero Trust Architecture, and evolving cloud security paradigms. Preferred Qualifications: Hands-on experience across multiple cybersecurity domains, with demonstrated depth in at least ...

Disney's Security Solution Review Process, conducting deep technical assessments and shaping enterprise adoption strategies for next-generation capabilities. Assess and secure AI/ML implementations across the enterprise, performing risk-based evaluations to identify threats such as model manipulation, data leakage, and adversarial attacks, and recommending practical mitigation strategies. … security risks into clear, actionable guidance for both technical and non-technical stakeholders. Exposure to emerging technologies and security challenges, such as AI/ML systems, Zero Trust Architecture, and evolving cloud security paradigms. Preferred Qualifications: Hands-on experience across multiple cybersecurity domains, with demonstrated depth in at least ...

Disney's Security Solution Review Process, conducting deep technical assessments and shaping enterprise adoption strategies for next-generation capabilities. Assess and secure AI/ML implementations across the enterprise, performing risk-based evaluations to identify threats such as model manipulation, data leakage, and adversarial attacks, and recommending practical mitigation strategies. … security risks into clear, actionable guidance for both technical and non-technical stakeholders. Exposure to emerging technologies and security challenges, such as AI/ML systems, Zero Trust Architecture, and evolving cloud security paradigms. Preferred Qualifications: Hands-on experience across multiple cybersecurity domains, with demonstrated depth in at least ...

Python Developer (FastAPI & GenAI) - AI/ML Platform in Sheffield We're partnering with an innovative AI/ML scale-up in Sheffield that is transforming how businesses use AI to automate processes, unlock insights, and drive better decision-making. Following continued growth, they're looking for a Python Developer … services using Python and FastAPI Designing and building REST APIs and microservices Working with cloud infrastructure and modern deployment pipelines Collaborating with AI/ML engineers to integrate LLM and GenAI capabilities into production applications Contributing to architecture, performance, and engineering best practices What we're looking for: Strong commercial ...

driven initiatives. This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python … Terraform, APIs, CI/CD beneficial) Experience working in Business Intelligence/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/ ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction … demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini ...

platform and accelerate our transformation. The Opportunity You will work closely with our 46-strong engineering team, guiding and influencing how AI, ML, and LLM-based technologies are embedded into our product, processes, and pricing models. Your work will be project-driven, and highly visible — with the unique satisfaction … demonstrate: Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini ...

Google AI Studio as the primary IDE, VSCode for AI application development and prototyping. Utilize Google Cloud Platform (GCP) services including: Vertex AI for ML model training, tuning, and deployment GKE (Google Kubernetes Engine) for container orchestration Cloud Run for serverless deployment Cloud Functions for event-driven AI tasks Vertex … powered application interfaces. Manage project delivery and sprint planning using Jira. Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows. Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing. Leverage Hugging Face Model Hub for model comparison, selection, and download. Development ...

Engineer for their expanding Data & AI practice. They are looking for someone who can take AI from prototype to production, building and operationalising ML and GenAI systems that land real business impact for enterprise clients across the public and private sectors. What the role involves: Designing and delivering full …/ML pipelines — from data prep and model development through to deployment, monitoring, and feature stores Architecting GenAI solutions: RAG pipelines, agentic workflows, LLM orchestration across Azure, GCP, or AWS Building with the latest agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK and more) Embedding MLOps best practices, governance ...

contexts, designing and implementing policy enforcement, safety controls, behavioural monitoring, and evaluation frameworks. This work sits at the intersection of platform engineering, AI/ML systems, and compliance-by-design architecture. You'll be joining at a pivotal moment as Aveni scales from startup to enterprise-grade AI FinTech, working … Strong Python expertise in production environments Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge) Experience working with LLMs or AI/ML systems Strong understanding of APIs, async systems, and scalable architecture Nice to Have Experience with AI safety, guardrails, or policy enforcement Background in agentic systems ...

ideal candidate will have deep expertise in GenAI, LLMs, and cloud-native architectures, along with hands-on experience in building enterprise-scale AI/ML platforms and agent-based systems. Must-Have Skills Strong experience in designing and implementing high-performance, large-scale distributed systems Proven experience in implementing … deploying AI/ML platforms at scale Expertise in building agent-based architectures, evaluation frameworks, and prompt/context engineering Knowledge of MCP (Model Context Protocol) servers Hands-on experience in LLM inference optimization, including batching and caching strategies Strong experience with Kubernetes and cloud infrastructure (AWS/Azure/ ...

aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped … build + deploy + collaborate + document + explain." That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include ...

Capital Markets clients, helping organisations modernise platforms, implement GenAI solutions, and drive enterprise-wide innovation. Key Responsibilities Design and deliver scalable AI/ML and GenAI architectures Lead enterprise AI and data transformation programmes Work closely with business, engineering, data, and architecture teams Support cloud-based AI deployments across … market initiatives Key Experience Strong Banking and/or Capital Markets experience AI, Data, or Solution Architecture background Experience delivering cloud-based AI/ML solutions across major cloud platforms and vendor technologies, including Google PaLM, Vertex AI, Azure OpenAI Services, AzureML, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake SnowPark, Snowflake ...

Capital Markets clients, helping organisations modernise platforms, implement GenAI solutions, and drive enterprise-wide innovation. Key Responsibilities Design and deliver scalable AI/ML and GenAI architectures Lead enterprise AI and data transformation programmes Work closely with business, engineering, data, and architecture teams Support cloud-based AI deployments across … market initiatives Key Experience Strong Banking and/or Capital Markets experience AI, Data, or Solution Architecture background Experience delivering cloud-based AI/ML solutions across major cloud platforms and vendor technologies, including Google PaLM, Vertex AI, Azure OpenAI Services, AzureML, AWS Bedrock, Sagemaker, Dataiku, Databricks, Snowflake SnowPark, Snowflake ...

quickly together, embracing collaboration and change as part of start‐up life. Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it – not because it is expected every day, but because seeing progress matters. … Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‐based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system ...

solutions aligned to strategic business goals. Oversee end-to-end solution delivery across the data and AI lifecycle-from ingestion and modelling to ML development, deployment, and monitoring. Act as Delivery Manager for AIPX , ensuring robust data pipelines and high-quality data products aligned with architectural standards and business needs. … Provide technical leadership across data architecture, cloud infrastructure, and AI/ML capabilities . Collaborate with stakeholders to translate business requirements into actionable technical solutions , manage delivery risks, and prioritise backlogs. Establish and enforce engineering best practices , including DevOps/MLOps, coding standards, testing frameworks, and documentation. Design and deliver ...

engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical … regulated financial services What we're looking for A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

LangChain · Semantic Kernel · Microsoft Fabric · Unity Catalog · Python · Terraform · Kubernetes · OpenTelemetry What We're Looking For 5+ years in software, data, and AI/ML with at least 4–5 years as a hands-on architect delivering production AI systems Proven delivery across at least two of: Azure AI Foundry … teams with equal credibility UK based and eligible to work in the UK Nice to Have Databricks certifications (Generative AI Engineer, Data Engineer Professional, ML Professional) AWS certifications (Solutions Architect Pro, ML Specialty, AI Practitioner) Exposure to regulated industries — BFSI, Healthcare, Pharma, Telecom Experience with knowledge graphs, multimodal ...

Domains and their capabilities within Azure/GCP and SME experience in at least one area. Familiarity in AWS is also desirable. • AI/ML security: Knowledge of AI/ML threats and risks, with experience applying security controls for secure deployment of AI services in cloud platforms. • Application Security ...