51 to 75 of 91 Contract Machine Learning Jobs

governance. Strong understanding of secure DevOps practices, CI/CD controls, and Infrastructure as Code (IaC) hardening. Experience applying security controls to AI and machine learning components, Demonstrable knowledge of cybersecurity frameworks and standards, including the NCSC Cyber Assessment Framework, ISO 27001, NIST, COBIT, as well as SABSA ...

data analysis, modelling, and reporting Utilize key R libraries such as: tidyverse (data manipulation and visualization) data.table (high-performance data processing) caret/mlr3 (machine learning) shiny (interactive dashboards) plumber (API development) Create reusable R modules and packages for internal use Configure and manage R environments across local ...

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 ...

tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

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 ...

/automation best practices and frameworks Key Skills & Experience Proven experience delivering AI, automation, or digital transformation programmes Strong understanding of AI/ML and intelligent automation technologies (e.g. RPA, NLP) Excellent stakeholder management and communication skills Experience working in Agile delivery environments Ability to bridge the gap between technical ...

tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

Communication: Clear, compelling communicator able to generate alignment and energy, even in challenging decision scenarios. Data Savvy: Solid understanding of customer data, AI/ML capabilities and data platforms; technically curious with awareness of emerging trends. Proactive & Pragmatic: Self-starter with strong judgement, able to deliver clarity in ambiguity, make ...

data governance requirements Support the development of AI usage guidelines, training materials, and communication plans Key Skills & Experience Essential: Strong understanding of AI/ML principles, including generative AI and large language models Proven experience in data governance, risk management, or responsible AI frameworks Deep knowledge of AI consumption patterns ...

Communication: Clear, compelling communicator able to generate alignment and energy, even in challenging decision scenarios. Data Savvy: Solid understanding of customer data, AI/ML capabilities and data platforms; technically curious with awareness of emerging trends. Proactive & Pragmatic: Self-starter with strong judgement, able to deliver clarity in ambiguity, make ...

Build integrations with existing systems (HR systems, CRMs, workflow tools, document repositories, etc). Key Skills & Experience Strong background in AI Engineering , automation engineering, ML/LLM application development, or intelligent workflow design. Expert hands-on experience with ChatGPT Enterprise (mandatory). Ability to design prompts, guardrails, and workflows that ...

physical hosts, and with containerised applications). Demonstrated ability to shape technical direction and deliver complex systems. Desired Experience: Exposure to AI/ML development or model-based engineering. Experience working in high-assurance, secure environments. Multi-cloud and hybrid infrastructure knowledge. Soft Skills & Behaviours: Self-directed; able to operate ...

liaise effectively with technical and non-technical teams Demonstrable experience delivering automation projects within a corporate environment Essential Skills & Experience Knowledge of AI and machine learning integrations with RPA Experience working with a Police Force Strong experience with Blue Prism Familiarity with Agile or Scrum methodologies Previous exposure ...

Contract (Inside IR35) Duration: 6 Months Job Summary: Our client is seeking a skilled and innovative Generative AI Engineer to join our AI/ML team. In this role, you will design, develop, and deploy cutting-edge generative models-including LLMs, diffusion models, and GANs-to solve real-world problems ...

forecasting, including scenario modelling Experience with major energy hubs (e.g., TTF, JKM) and cross-commodity linkage Solid understanding of feature engineering, statistical modelling, and ML workflows Strong Python skills (e.g., pandas, NumPy, Jupyter) Strong analytical thinking with the ability to simplify complex concepts If this sounds like a good ...

lead the development of governance frameworks, partner with senior stakeholders, track evolving legislation, and ensure the continued ethical and compliant operation of AI and ML systems.This is a rare opportunity to influence how a major organisation designs and governs AI, setting standards that will shape our future. Key Responsibilities ...

client within the Aviation Sector who are looking for a number of Data Scientists to join their team for an AI/Machine Learning Programme, working on Maintenance, Repair and Overhaul, improving systems and looking at automation click apply for full job details ...

Pega rule management, SQL, REST/SOAP services, and Kafka. Domain Knowledge: Experience within telecommunications, with a solid understanding of marketing technologies and machine learning concepts. Leadership: Proven ability to lead teams, influence stakeholders, and communicate complex technical solutions effectively. Why Join? Work on cutting-edge customer decisioning ...

systems. 12+ Month Contract Hybrid working - London Key Skills: Proven experience building backend or network-facing services using Go Strong Python skills, ideally within machine learning or computer vision environments Familiarity with frameworks such as PyTorch or TensorFlow (or a willingness to learn) Experience with containerisation and orchestration ...

full-stack development and AI system design to complex enterprise environments. This role demands hands-on experience in building and deploying AI/ML solutions, a strong grasp of software engineering principles, and proficiency with cloud platforms. You will play a key role in developing scalable, intelligent systems that drive … pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack. Collaboration: Work closely with cross ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies Knowledge of banking processes: retail banking, lending, payments, compliance Strong experience designing end to end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring Hands on expertise with cloud AI platforms (GCP) Strong knowledge of LLMOps practices, including ...

integrated technical blueprints covering AI, analytics, applications, integration, and security. Define and communicate the digital and data architecture vision - including use of generative AI, ML platforms, and automation accelerators. Balance innovation with cost efficiency, delivery feasibility, and risk. User-Centric Problem Solving - Solutions must be designed with end-user productivity … experience: Digital Architecture 10+ years designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies. Knowledge of banking processes: retail banking, lending, payments, compliance. Strong experience designing end-to-end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring. Hands-on expertise with cloud AI platforms (GCP). Strong knowledge of LLMOps practices ...

execution across complex migrations, AI enablement, and digital modernisation. Architect and deliver agentic AI systems (LangGraph, LangChain, tool-calling, memory), RAG pipelines, and enterprise ML workloads. Skilled in Azure and AWS AI stacks, Fast API microservices, Kubernetes, and secure vector search patterns. Strong background in FinOps, secure landing zones … contributor to AI leadership content, events and thought leadership, simplifying frontier AI for executive audiences. Core Capabilities Enterprise AI & Architecture Agentic AI, RAG, enterprise ML in regulated FS Azure AI Studio, Azure AI Search, Fabric, Document Intelligence AWS Bedrock & SageMaker pattern experience FastAPI, Kubernetes, Docker, CI/CD (ADO/ ...

permanent position after the 6 months so please only apply if this is suitable for you. I am recruiting for a Data Scientist/ML engineer with several years of experience. You will have experience of driving new data insights to uncover business opportunities & revenue streams, have a firm understanding … have a number of years of experience participating in projects that focused on some of the following - Predictive Analytics, Data Design, Statistics, AI/ML or ML Ops. You must have experience of using Python and/or R to analyse disparate data sets. Experience of Gen AI/ ...