1 to 25 of 98 Contract Artificial Intelligence Jobs in London

standards, ensuring data transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deep learning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and London … hold a sponsor licence in respect of skilled worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of fraud and wider … practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g. More ❯

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 ❯

designing data visualisations, your insights will directly shape care models, inform service redesign, and drive preventative, equitable healthcare. You'll work collaboratively with clinicians, system leaders, and the London AI Centre , combining analytical expertise with real-world impact. This is more than just a technical role, it's your chance to contribute to healthcare transformation at system level. If you More ❯

Senior ML & AI Backend Engineer - Big Data, LLMs & MLOps About the Role We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend systems that … make our AI products possible. If you thrive in lean, collaborative teams and want your work to have a direct, tangible impact, this is the place for you. What You'll Do Architect and implement scalable backend systems powering ML models and LLMs in production. Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment … set engineering best practices. Diagnose and resolve complex technical challenges in big data and ML systems. About You You're fluent in Python and experienced with leading ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face). You have a solid background in MLOps: experiment tracking, CI/CD for ML, model versioning, deployment, and monitoring. You've built More ❯

End-to-end ownership: Engage directly with customers to close feedback loops and shape the product. - Modern DevOps culture: Deploy microservices multiple times per day with confidence. - Work with AI and expand your skills into Python and other emerging technologies. - Be part of a collaborative, forward-thinking team building the next generation of microservices platforms. - Continuous learning, we believe, ongoing … training is key to success. Our Tech Stack - Frontend: React - Backend: Nest.js, Python/fastapi, LangChain Test Automation: Pact, Jest, Cypress, and Pytest (including AI test automation) - Infrastructure: AWS ECS, PostgreSQL, Kafka (migrating from RabbitMQ) - Infrastructure as Code: Terraform (using native AWS services where possible) - CI/CD: GitHub-based tooling Our Engineering Culture - We believe speed comes from quality … a hole, stop digging. About Us We're a well-funded, early-stage London-based startup on a mission to revolutionize compliance for banks and fintechs with cutting-edge, AI-powered regtech solutions. We're building a product and engineering team to drive the platform in an agile way, using AI and ML at its core, enabled by microservices running 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 ❯

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 ❯

challenges into elegant technical solutions. Key Responsibilities Rapid Prototyping: Build POCs and MVPs to validate ideas quickly. End-to-End Development: Leverage GCP services like Cloud Functions, BigQuery, Vertex AI, GKE, and more. DevOps & IaC: Implement CI/CD pipelines and manage infrastructure using Terraform. Collaboration: Partner with cross-functional teams to translate business needs into technical solutions. Operational Excellence … hands-on experience with GCP development and architecture. Strong programming skills in Python (preferred), Java, or Go. Expertise in Docker, Kubernetes, and GCP services like BigQuery, Cloud Run, Vertex AI, and Pub/Sub. Solid understanding of CI/CD, Terraform, and Git-based workflows. Excellent communication skills and a collaborative mindset. Desirable Experience Google Cloud Certifications (e.g., Professional Cloud … potential extension) To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the 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 ❯

a-product culture, enabling self-serve capabilities and empowering business users Introduce scalable data governance frameworks using industry-leading tooling (e.g. Collibra, Alation, Monte Carlo) Oversee the delivery of AI/ML initiatives and advanced analytics use cases in partnership with business and product teams Ensure compliance with regulatory standards (FCA, GDPR) while enabling data innovation Report directly into senior More ❯

work within our Shared Services organisation. You will work with existing teams to build, enhance, maintain and support our existing and future products and services. Primarily working with AWS AI technologies, you will be building services which accelerate the vision of our stakeholders, providing tangible benefits across our company. Responsibilities: Design, develop, and maintain software solutions utilizing AWS AI services … such as Amazon Lex and c (LLMs). Collaborate with cross-functional teams to integrate AI capabilities into contact centre solutions. Write clean, efficient, and maintainable code in TypeScript. Implement and advocate for DevOps best practices, including CI/CD pipelines, automated testing, and infrastructure as code. Lead and participate in code reviews to ensure code quality and adherence to … to ensure our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and More ❯

work within our Shared Services organisation. You will work with existing teams to build, enhance, maintain and support our existing and future products and services. Primarily working with AWS AI technologies, you will be building services which accelerate the vision of our stakeholders, providing tangible benefits across our company. Responsibilities: Design, develop, and maintain software solutions utilizing AWS AI services … such as Amazon Lex and c (LLMs). Collaborate with cross-functional teams to integrate AI capabilities into contact centre solutions. Write clean, efficient, and maintainable code in TypeScript. Implement and advocate for DevOps best practices, including CI/CD pipelines, automated testing, and infrastructure as code. Lead and participate in code reviews to ensure code quality and adherence to … to ensure our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and 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 ❯

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 ❯

Work closely with business analysts and stakeholders to ensure functional parity and identify opportunities for enhancement. Participate in the design of a hybrid architecture that supports phased migration. Use AI-assisted tools to analyse, translate, and optimize legacy code. Support BAU operations during the migration period, ensuring system stability and continuity. Contribute to code reviews, testing strategies, and documentation. Required … translating stored procedures into application logic. Familiarity with PostgreSQL, including performance tuning and SQL dialect differences. Experience working in hybrid environments where legacy and modern systems coexist. Comfortable using AI tools (e.g., GitHub Copilot, ChatGPT, code translators) to assist in development and migration tasks. Solid understanding of software architecture, design patterns, and integration strategies. Excellent communication skills and ability to 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 ❯

Google Cloud, Mirth Connect and other accelerators). Nice to have: Experience in using programming languages such as SQL, Python, R and working in collaborative development tools. Familiarity with AI models. If interested, with relevant experience, please apply with your latest CV ASAP. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the More ❯

GitHub Apps Background in Operations, SRE, or Infrastructure Engineering Familiarity with IaC tools like Terraform Solid understanding of modern SDLC practices and secure coding Highly Advantageous: Experience with Generative AI tools (e.g., GitHub Copilot) Knowledge of Docker, Kubernetes, and cloud platforms like AWS or Azure Security best practices in a DevOps/cloud context Please click here to find out More ❯

GitHub Apps Background in Operations, SRE, or Infrastructure Engineering Familiarity with IaC tools like Terraform Solid understanding of modern SDLC practices and secure coding Highly Advantageous: Experience with Generative AI tools (e.g., GitHub Copilot) Knowledge of Docker, Kubernetes, and cloud platforms like AWS or Azure Security best practices in a DevOps/cloud context Please click here to find out More ❯

Security Risk Analyst - Artificial Intelligence (AI) - Machine Learning (ML) Our client, a global insurance organisation, is looking to recruit the services of an experienced Senior Risk Analyst with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) to join our client's Security Risk Management team. This role plays a pivotal … part in assessing and managing risks related to AI-driven projects across a global enterprise, ensuring new technologies are adopted safely and responsibly. Key Responsibilities Conduct enhanced risk assessments of AI/ML-based initiatives and proof-of-concepts. Evaluate AI systems for potential misuse, abuse, or adversarial threats. Collaborate with stakeholders across IT, Data Privacy, Innovation, and Business to … identify and mitigate risks. Translate complex technical risks into business-friendly language for executive audiences. Improve and evolve security risk assessment methodologies for advanced AI systems. Develop threat models and propose compensatory controls. Present findings to internal governance groups and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands More ❯