51 to 75 of 116 Contract Machine Learning Jobs

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 ...

databases, graph databases and NoSQL systems; Familiarity with Linux/Unix environments; Experience with collaborative development tools such as Jira and Confluence; Experience with machine learning approaches, ideally in the context of data discovery. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/ ...

regulated environments Strong understanding of ethical frameworks for data and AI (e.g. fairness, accountability, transparency, explainability) Experience applying ethical principles to AI/ML models and data-driven products Knowledge of UK regulatory and ethical standards (e.g. GDPR, ICO guidance, AI assurance frameworks) Familiarity with bias detection, mitigation, and fairness … multidisciplinary teams Responsibilities Define and implement data ethics and responsible AI frameworks aligned to government standards Assess ethical risks in data use, analytics, and machine learning models Provide guidance on fairness, bias mitigation, transparency, and explainability Review and challenge data-driven solutions to ensure ethical compliance and public ...

data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred/Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge ...

Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings ...

Grafana, Kibana) Strong problem-solving skills and ability to work independently Excellent communication and stakeholder engagement skills Exposure to Databricks Apps or AI/ML workloads (nice to have) If you have previously led migrations to Unity Catalogue and you're interested in this role, click 'apply now' to forward ...

operational performance. What you will bring to the role: Strong experience delivering complex digital or AI programmes, with a solid understanding of AI/ML, cloud platforms (AWS or Azure), and modern engineering practices. Proven ability to lead cross-functional teams. Commercial mindset, with the ability to connect technical solutions ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the 'heavy lifting' building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the "heavy lifting" building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast ...

processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred Machine learning and Generative AI experience is a plus Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical ...

processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred Machine learning and Generative AI experience is a plus Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical ...

statistical methods applied to data analysis. Have user experience of Cloud capabilities, preferred Databricks. Have user experience of coding languages for data science and machine learning (e.g. Python, R). Have good written communication skills, including the ability to describe statistical results to non-statistical audiences. Experience processing ...

market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement Work closely with Data Engineering ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

Operational Resilience , and the EU AI Act . AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool-use, and non-deterministic agent logic. Security Frameworks: Proficiency in OWASP LLM Top 10 and NIST AI RMF . ...

databases and caching technologies such as PostgreSQL and Redis Nice to Have Experience building cybersecurity or threat detection platforms Exposure to AI/ML security challenges and AI-driven security tooling Experience with Kafka, Pulsar, Splunk, or real-time streaming systems Golang expertise Experience contributing to open-source projects ...

Proven ability to troubleshoot complex data pipelines and platform issues Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian) Exposure to Machine Learning, Generative AI, and Agentic AI Strong … stakeholder engagement and collaboration with BI/analytics teams Nice to Have: Experience within the Energy/Utilities sector Hands-on experience with Azure ML or advanced analytics platforms Prior involvement in large-scale data transformation or data strategy programmes If you're interested in this role, click 'apply ...

Deliver clear handover documentation outlining model status, limitations and recommended next steps. Your Skills & Experience Strong experience building, maintaining and productionising data science and machine learning models. Confident working with Python … modern analytics or data science environment. Solid SQL skills and experience using transformation frameworks such as dbt. Experience working with cloud-based data and ML platforms such as Databricks. Comfortable owning existing models, improving reliability and driving stakeholder adoption. Familiarity with version control using Git. Exposure to customer analytics, retention ...

Platform (GCP), BigQuery, Google Cloud Storage (GCS), and Infrastructure as Code (IaC). Data Engineering: ETL processes, data harmonization, URI generation, and graph embedding machine learning pipelines. Tools: GitHub/GitLab, Apache Jena, Protege, and Jira/Confluence, Top Quadrant (EDG), Apache Jena , Protégé , and Semaphore Aligned ...

full stack delivery, data pipelines, model serving, or agentic orchestration. Solid engineering judgement for enterprise hardening, including auth, RBAC, security, and regression testing for machine learning workflows. Minimum 3 years of stakeholder facing delivery, moving workflow systems past the proof of concept stage. Bachelor degree in computer science ...

implementation experience across IVR, routing, CTI and CRM integrations AWS services including Lambda, API Gateway, S3 and CloudWatch Experience with Amazon Lex, AI/ML services and LLM integrations TypeScript/modern JavaScript development CI/CD, DevOps and serverless architecture experience Ability to build scalable, resilient and secure contact ...

years' experience in Data Science or a similar analytical role Strong Python skills and experience working in shared codebases Experience with data science/ML frameworks Solid understanding of data preparation, analysis and modelling Ability to translate data insights into practical outcomes Strong communication and collaboration skills Curious mindset with ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

Strong stakeholder management Experience leading enterprise-scale data transformation programmes Nice To Have Azure certifications Experience with Kafka or Event Hubs Exposure to AI, ML or advanced analytics platforms Cloud migration and legacy platform modernisation experience This is an opportunity to play a key role in a major data transformation ...