1 to 25 of 171 Contract Artificial Intelligence Jobs

GenAI Specialist London Are you a Data Scientist with a passion for Generative AI and Large Language Models (LLMs)? Join a leading financial institution's Technology team , working on cutting-edge AI-driven solutions to transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data extraction, analysis … environments. Key Details Start Date: ASAP Duration: TBD Location: London (Hybrid, 3 days on-site) Pay Rate: £725-£775/day Responsibilities of a GenAI Specialist Develop and deploy AI models, focusing on GenAI and LLMs . Extract, clean, and analyse structured and unstructured data. Implement scalable ML/DL solutions through the full model lifecycle. Collaborate with cross-functional … teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master's/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . More ❯

AI Agents Solution Architect - Future Talent (Q2/Q3 opportunities) for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise in architecting intelligent agents, optimizing cloud-based deployments, and … integrating AI services into enterprise applications. Key Responsibilities: Architect and design AI-powered agent solutions that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js … etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications. Ensure security, scalability, and reliability of AI agent solutions in production environments. Design event-driven and serverless architectures to enhance AI agent performance. Lead proof-of-concept (PoC) developments for AI-based automation and intelligent process More ❯

the best UK remote professionals in remote positions with U.S.A businesses. Candidates who apply through Talent Hero, once vetted, are introduced to hundreds of US companies actively building intelligent, AI-powered products. Well match you with the right role, at the right pay and keep your profile in our database for future opportunities as well. This role is an excellent … opportunity for professionals experienced in designing, training, and deploying machine learning models that solve real-world problems. If you're passionate about artificial intelligence, model optimization, and production-grade deployment we encourage you to apply. Remote machine learning roles are in high demand and limited supply in the UK, and our service is 100% free for all UK … support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch More ❯

or learner level. Interest in data analytics techniques, and a desire to learn how they are applied in healthcare or public sector settings. Curiosity about the use of Generative AI or other modern technologies in data development work. Basic understanding of source control tools, such as Git, and how they are used in collaborative development. Awareness of Agile methodologies, and More ❯

AI Security Architect 6 Month contract initially Based: Remote/Reading - Max 2 days p/w onsite Rate: £500 - £550 p/d (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a … difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. * Participate in enterprise … wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack More ❯

AI Security Architect 6 Month contract initially Based: Remote/Reading - Max 2 days p/w onsite Rate: £500 - £550 p/d (via Umbrella company) We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a … difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. * Participate in enterprise … wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack More ❯

information to identify and inform transformation opportunities and budget interrogation. Transformation priorities include process efficiencies, customer contact and channel shift, contract management and compliance, spend control and analysis, HR intelligence and controls, risk and change management, income analysis and costing of traded services. The role is hybrid, with 2 days on site required Requirements Strategy Shape and maintain the … loss prevention (DLP) policies and automated tests; manage DevOps release pipelines. Organisational Control & Development Continually review procedures, automate manual processes and exploit new Power Platform capabilities (e.g. Co-Pilot, AI Builder) to maximise value. Maintain technical documentation, architecture diagrams and knowledge-base articles. Experience Degree or equivalent experience in Computer Science, Information Systems or a related discipline Microsoft Certified: Power More ❯

across the business. THE COMPANY A major player in the media sector, this company is investing heavily in its data capabilities to support everything from real-time analytics to AI-powered content discovery. The environment is collaborative, fast-moving, and focused on innovation. With strong engineering foundations already in place, they're looking for a contractor to accelerate delivery of … from raw ingestion to curated layers powering LLMs and advanced analytics.Your responsibilities will include: Building and maintaining production-grade ETL/ELT workflows with DBT and Airflow Collaborating with AI/ML teams to support data readiness for experimentation and inference Writing clean, modular SQL and Python code for use in Databricks Contributing to architectural decisions around pipeline scalability and More ❯

s Decision Intelligence practice in the UK helps organisations bridge the gap between data and insights, empowering businesses to make smarter decisions, optimise operations, and drive innovation. From AI-powered analytics to data governance and security, we offer a comprehensive suite of services to help our Public and Private Sector customers unlock the full potential of their data. Job More ❯

with modular business architecture and MACH principles (Microservices, API-first, Cloud-native, Headless). Experience with agile at scale (e.g., SAFe, LeSS). Background in data architecture, analytics, or AI/ML platforms. Define and own the solution architecture and platform tech and data design, aligned with business transformation goals and enterprise architecture principles. Govern architectural standards, patterns, and principles … benefit. Strong understanding of insurance or regulated financial services. Familiarity with modular business architecture and MACH principles (Microservices, API-first, Cloud-native, Headless) Background in data architecture, analytics, or AI/ML platforms. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from More ❯

Job description We are seeking an AI Automation Engineer for a contract opportunity in the Technology industry. This role offers a hybrid working arrangement, providing flexibility between remote work and on-site collaboration. The AI Automation Engineer will play a crucial role in developing and implementing automation solutions powered by artificial intelligence. Candidates should possess relevant experience and a … responsibilities Design and develop automated workflows to optimize operational processes using artificial intelligence technologies. Collaborate with cross-functional teams to identify automation opportunities and gather requirements for AI-driven solutions. Implement and maintain integrations between automation tools and existing software systems to enhance efficiency. Conduct testing and validation of automation solutions to ensure they meet quality and performance … recommending improvements based on data insights. Document technical specifications and user guides for developed automation solutions to facilitate knowledge transfer. Stay updated on industry trends and emerging technologies in AI and automation to continuously enhance skill development and solution offerings. Skills and experience Strong understanding of artificial intelligence and machine learning concepts Proficiency in programming languages such as More ❯

Location: Remote Industry: Financial Services Contract Type: Full-time, Contract Duration: 6 Months (with potential extension) Start Date: ASAPJoin a leading financial institution at the forefront of AI transformation.We’re seeking an experienced Project Manager to lead the delivery of a high-impact AI implementation project . This is a unique opportunity to work with cutting-edge technology in a … highly regulated, data-rich environment. Key Responsibilities: Lead end-to-end project delivery of AI solutions within a financial services context. Coordinate cross-functional teams including data scientists, engineers, compliance, and business stakeholders. Manage timelines, budgets, risks, and reporting to senior leadership. Ensure alignment with regulatory and data governance standards. Drive stakeholder engagement and change management. Ideal Candidate: Proven experience … managing AI, data, or digital transformation projects. Strong background in financial services or fintech. Excellent communication and stakeholder management skills. Familiarity with Agile and Waterfall methodologies. UK-based and eligible to work without sponsorship. Bonus Points For: Experience with LLMs, machine learning platforms, or AI governance. Previous work with cloud-based AI tools (e.g., Azure ML, AWS SageMaker, GCP Vertex More ❯

Sheffield seeking a Machine Learning Engineer for an initial 6-month contract. This is an exciting opportunity to play a key role in developing and deploying production-grade Document AI solutions that drive automation and intelligence across critical business processes. You will work as part of a collaborative team to build advanced models for content extraction and classification from … and text sources. The ideal candidate will have a strong background in machine learning, particularly within intelligent document processing, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand requirements and deliver … a combination of ML/OCR tools and frameworks. Support the full lifecycle of ML applications, from development through deployment, monitoring, and maintenance. Required Experience: Proven experience in Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative More ❯

solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern CI/CD pipelines to streamline deployment Operate in a cloud environment (AWS preferred) Contribute to … Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model development Experience with Docker , CI/CD workflows , and AWS Comfortable working with JavaScript , Next.js , and ideally TypeScript More ❯

scientists and engineers to build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or … all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model More ❯

scientists and engineers to build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or … all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model More ❯

CI/CD tools. Solid understanding of OOP, design patterns, and clean code. Async programming (e.g., asyncio, Celery). Experience with RabbitMQ, Kafka, GraphQL, gRPC, or WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. More ❯

experience * Experience with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like RabbitMQ, Kafka. * Understanding of GraphQL, gRPC, or WebSockets. * Previous experience in architecting data-intensive or AI/ML-based systems. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you More ❯

Python Software Engineer skilled in CICD Tooling, working within a collaborative team to accelerate and scale the firm-wide Generative AI journey with the full-stack platform to build, test, and deploy enterprise-ready AI applications. Must have hands-on Application Development background, with experience in at least one of the following: JavaScript, Java, TypeScript, preferably Python Flask or FAST More ❯

Go Engineer/GoLang Engineer/AI Engineer/AI Developer/Software Engineer - Go We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Are you ready to bring your Lead Software Engineering expertise to the next level? We're looking for multiple experienced Go/GoLang … leveraging this data to generate insights and drive decision-making. The team is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly Overview: Designs and develops creative software solutions, and technical troubleshooting … applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience across Internal and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision More ❯

Go Engineer/GoLang Engineer/AI Engineer/AI Developer/Software Engineer - Go We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Are you ready to bring your Lead Software Engineering expertise to the next level? We're looking for multiple experienced Go/GoLang … leveraging this data to generate insights and drive decision-making. The team is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly Overview: Designs and develops creative software solutions, and technical troubleshooting … applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience across Internal and External Cloud Providers Experience of Infrastructure as Code Providers e.g. Terraform, and their usage to provision More ❯

Senior Data Scientist Location: Hybrid (London)Type: Full-timeStartup: A fast-growing AI startup We're workan ambitious, early-stage startup building innovative AI solutions that help businesses unlock insights, automate processes, and drive smarter decisions. Backed by leading investors and fueled by a passion for solving real-world problems, we're creating technology that makes AI accessible and impactful … a startup environment - self-starter, adaptable, and collaborative. Why Join Us? Competitive compensation, including meaningful equity. Remote-friendly with flexible working hours. Work on high-impact projects that apply AI to real-world problems. Learning budget for conferences, courses, and books. Supportive, innovative team culture that values curiosity and experimentation. More ❯

alike. Key Responsibilities: Deliver scalable, accessible software components using Power Apps, Power Automate, and Dataverse Lead on best practices around clean, open, and reusable code Support delivery teams with AI and automation capabilities Contribute to all phases of the product lifecycle, from design to release and continuous improvement Uphold technical standards and guide less experienced developers Essential Skills & Experience: Expertise More ❯

experience in security operations or security engineering. Hands-on experience with SOAR platforms (e.g., Cortex XSOAR, Splunk SOAR, IBM Resilient). Strong familiarity with: Google SecOps/Chronicle Darktrace (AI-based threat detection) CrowdStrike Falcon platform Scripting experience in Python, PowerShell, or Bash. Experience with REST APIs and JSON for tool integration. Working knowledge of incident response frameworks and MITRE More ❯

offer: 12-month contract with potential for extension Fully remote working model Work with an experienced team on critical security assurance programs Exposure to advanced security technologies, automation, and AI-driven testing We are working with a major financial services organisation to find an experienced Senior Control Assurance Assessor for an initial 12-month contract . This role is fully More ❯