10 of 10 Contract Machine Learning Jobs in Berkshire

prototypes and POCs showcasing the value of new ideas, integrating AI with front-end and back-end systems. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data and enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: 700 - 750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We're seeking a full stack developer with strong More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: £700 - £750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We're seeking a full stack developer with strong More ❯

scalable code in TypeScript Champion DevOps best practices (CI/CD, automation, IaC) Collaborate, challenge, and bring fresh ideas What you'll bring Proven AWS (Lex + AI/ML) experience Strong TypeScript background DevOps mindset (CI/CD, serverless, monitoring) Bonus: contact centre tech experience A chance to work on cutting-edge AI projects with real impact - and extend More ❯

validate data flows before systemisation.Collaborate with stakeholders to prioritise high-impact innovations. Data Structures Understand and optimise data structures for use in pipelines, technologies, and business cases.Apply knowledge of machine learning, predictive analytics, and advanced visualisation.Design KPIs and model decision logic for enterprise data processing. Data Governance & Quality Lead data validation and health checks to ensure integrity and More ❯

XML, JSON, Jinja 2, Python, JavaScript Must be aware of Cisco NSO or Ansible, Net Miko, Docker Workflow automation Itential IAP, Appian, Resolve Redhat Microservices Understand Artificial Intelligence and Machine Learning concepts ANG/TOSCA for service modelling CI/CD/CT -GITLAB, Robot, Selenium, Cucumber, Veracode, Sonar cube To apply, please send me a CV also More ❯

and multidisciplinary teams , while driving standards in one of the most rapidly evolving technology landscapes. The Role As an AI Security Architect , you will: Define and implement AI/ML security strategies, standards, and guidelines . Design and own enterprise security architecture for AI/ML systems, CI/CD, and data pipelines. Conduct security risk assessments and threat modelling … for AI/ML workloads. Support testing of AI/ML models, including trustworthiness, fairness, bias, and adversarial attack detection. Collaborate with data scientists, engineers, and stakeholders to embed security controls in AI/ML pipelines. Enforce robust access control, authentication, and encryption standards . Stay ahead of emerging AI security threats, regulations, and frameworks . Provide advisory guidance to … cross-functional teams during AI/ML system design and deployment. Contribute to regulatory compliance efforts (EU AI Act, GDPR, ISO 27001, NIST AI RMF, etc.). Support incident response teams in handling AI/ML-related security events. Your Profile Wed love to hear from you if you have: Strong experience as a Security Architect , with a focus on More ❯

for a security leader with extensive experience designing and implementing enterprise-grade security architectures across complex, highly regulated environments. The role will focus heavily on cloud security, AI/ML security, regulatory compliance, and secure-by-design frameworks for critical systems. Why This Role? Shape and deliver the security architecture strategy for enterprise cloud and AI/ML programmes. Work … with security guardrails. Act as a trusted advisor to senior leadership , influencing both business and technology direction. Key Responsibilities Define and evolve security architecture strategies for cloud, AI/ML, and MLOps environments . Act as a senior security advisor to leadership, engineering, and business stakeholders. Develop security architecture standards, patterns, and guidelines for enterprise solutions, with specific coverage for … AI/ML workloads. Conduct security architecture reviews, threat modelling, and risk assessments for AI/ML systems and pipelines . Ensure solutions comply with European financial services regulations (GDPR, PSD2, DORA, NIS2) as well as emerging AI governance frameworks (e.g., EU AI Act, NIST AI RMF). Integrate security into DevSecOps and MLOps pipelines , including CI/CD and More ❯

experience with complex enterprise SaaS solutions. The role is deemed outside IR35. Key Responsibilities Design, develop, and deploy AI-powered features using C#/.NET technologies. Integrate AI and ML components into existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET … maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track record of delivering or integrating AI/ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is More ❯

experience with complex enterprise SaaS solutions. The role is deemed outside IR35. Key Responsibilities Design, develop, and deploy AI-powered features using C#/.NET technologies. Integrate AI and ML components into existing SaaS platforms. Collaborate with product and engineering teams to explore intelligent automation, search, and decision systems. Use and help evolve AI infrastructure within the business (e.g., ML.NET … maintainable code, following best practices and clean architecture. Key Skills Strong experience developing with .NET/C# in production environments. Proven track record of delivering or integrating AI/ML technologies into software solutions. Experience working with enterprise SaaS applications. Familiarity with integrating AI models into business processes. Familiarity with AI frameworks like ML.NET and/or Semantic Kernel is More ❯