26 to 50 of 91 Contract Machine Learning Jobs

across real assets, sustainability, and essential services . What you'll do Build and enhance our cloud platforms and data infrastructure Deploy AI/ML and GenAI solutions into production Drive automation and operational efficiency using AI and RPA Support development of client-facing digital platforms and dashboards Modernise systems ...

maintaining momentum through the next phase of the project, ensuring that community input can be collected, evaluated, processed, and incorporated into the wider ML research and engineering pipeline while working closely with researchers, engineers, and community partners in an inclusive, multidisciplinary environment. Key Responsibilities Lead development and maintenance … uncertainty and ambiguity, translate evolving research goals into practical technical solutions, and design robust tools for evaluation, data analysis, and user studies. Experience with machine learning experimentation, model evaluation, active learning, human studies, or human-in-the-loop AI systems. Experience with FastAPI, React, cloud infrastructure, Azure ...

build effective solutions You're comfortable with using AI tools (e.g. Claude, Codex) and integrating them in user workflows You're familiar with ML workflows, Snowflake and PaaS You have achieved a 2.1 or above from a top tier university in a STEM discipline What ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

Understanding of Agile delivery methods Desirable: Experience or knowledge CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS) Understanding and awareness of Machine Learning pipelines Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure) Exposure to additional automated testing frameworks (Selenium, Junit, NUnit) ISTQB Foundation ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...

delivery methods. Desirable Skills: Experience or knowledge in CI/CD pipelines and build tools (GitLab CI, Jenkins, AWS). Understanding and awareness of Machine Learning pipelines. Familiarity with containerisation and cloud platforms (Docker, Kubernetes, AWS, Azure). Exposure to additional automated testing frameworks (Selenium, JUnit, NUnit). ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

week. Key responsibilities Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Keep documentation clear, current and genuinely useful This is a role for someone who cares about how data ...

cloud-native architectures. Proficiency in Python and security automation; experience with Terraform/IaC and CI/CD security integration. Familiarity with AI/ML frameworks and tooling: Hugging Face, LangChain, TensorFlow/PyTorch, agentic frameworks, RAG patterns. Experience with secret management (Azure Key Vault, HashiCorp Vault), API security (OAuth2 ...

engineering stack and cloud-native architecture Collaborative team environment Opportunity to influence platform architecture and data pipelines How to Apply If youre an Applied ML Contractor looking a new exciting opportunity working focused on real operational decision systems, get in touch. Please apply if interested and well aim to respond ...

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 ...

OWASP ASVS, OWASP SAMM, NIST, ISO 27034). Desirable Skills/Knowledge/Experience Experience implementing or advising on secure use of AI/ML applications, including secure patterns for Generative or Agentic AI. Background in secure architecture reviews for microservices, APIs, and cloud-native application stacks (AWS, Azure ...

with modern automation tooling. Exposure to testing data-driven applications and distributed systems. Desirable: Experience testing GenAI or LLM-based services. Background in supporting ML, NLP, or data-heavy engineering environments. Familiarity with validating prompt flows, LLM responses, or AI pipelines. Tech Environment: Python, JavaScript, Node.js Performance automation tools ...

small team Strong communication skills and willingness to ask for support when needed Bonus Points Experience designing data models to support AI/ML or LLM-based analytics Interest in using AI tools to enhance developer productivity Exposure to semantic layers or metrics layers Experience with customer data Ability ...

cloud-native security practices and experience integrating security controls into CI/CD pipelines, helping support ongoing digital transformation and automation initiatives. AI/ML in Security Operations Exposure to leveraging artificial intelligence or machine learning techniques to improve threat detection, incident analysis, or automated response capabilities within ...

technical stakeholders. Required Skills & Qualifications Strong quantitative background (eg, Mathematics, Statistics, Data Science, or similar field). Hands-on experience building statistical, stochastic, or machine-learning models for risk. Proficiency in Python, SQL, or similar analytic languages. Experience working with modern data-processing frameworks. Domain expertise ...

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? Agentic SDLC Platform Engineer 2 Roles Leeds Hybrid Senior engineer/architect ...

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 ...

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 ...

testing, deployment, handover and post-go-live support. There is also an opportunity to contribute to the integration of broader intelligent automation technologies, including Machine Learning, OCR and NLP, within an established governance framework. Key responsibilities Design, develop and deliver end-to-end automation solutions Review Process Definition … PDDs) and produce Solution Design Documents (SDDs) Develop Power Automate cloud workflows, RPA workflows and hybrid automation solutions Integrate intelligent automation capabilities such as ML, OCR and NLP where appropriate Support SIT and UAT, including preparation of test plans and test data Work closely with technical and change teams ...

Data Science and Data Engineering. Someone who is half data scientist and data engineer - Someone who can build and maintain machine learning models And also an engineer who can build data pipelines Someone good at insights and presenting Measuring the success of the sales motions Understands preprencity models ...