2,126 to 2,150 of 9,716 AI Jobs

Senior Consultant in Unit 42 you will have the opportunity to work across a number of proactive cyber security domains including Cloud Security, Security Operations, Cyber Risk Management and Artificial Intelligence in cyber security. We are seeking an individual who is passionate about cyber security, curious with a demonstrated track record of continuous learning, and has the technical acumen to More ❯

Artificial Intelligence Consultant London | Remote Available for UK based Candidates Up to £90k + Bonus & Benefits Boutique strategy consulting organisation advancing a multi-year data and AI transformation agenda and building out unified AI Centre of Excellence (CoE) for their clients to accelerate value realisation from AI, ML and GenAI investments. You will help clients shift toward measurable business outcomes … responsible AI governance, and enterprise-wide enablement. Role Overview The successful candidate will define and operate an enterprise-scale AI Value , responsible for identifying, prioritising, and scaling AI initiatives that deliver quantifiable commercial impact across global operations. Key Responsibilities Establish and lead the AI Value Offices to identify and govern high-value AI use cases. Partner with C-suite, business … and technology stakeholders to define and execute a clear AI value roadmap. Oversee cross-functional squads building and scaling AI/ML/GenAI products across domains. Deliver AI programme governance including Responsible-AI, risk alignment, and benefit tracking. Produce executive-level reporting and steer-co material to communicate value outcomes and strategic alignment. Lead adoption through playbooks, lifecycle models More ❯

technologies to develop strategies for accomplishing complex objectives. This includes comprehensive planning, resource allocation, and the creation of contingency plans to ensure mission success. Our advanced planning solutions leverage AI, machine learning, and real-time data analysis to anticipate and adapt to dynamic operational conditions. These innovations will fundamentally transform how the Department of Defense conducts mission planning for the More ❯

technologies to develop strategies for accomplishing complex objectives. This includes comprehensive planning, resource allocation, and the creation of contingency plans to ensure mission success. Our advanced planning solutions leverage AI, machine learning, and real-time data analysis to anticipate and adapt to dynamic operational conditions. These innovations will fundamentally transform how the Department of Defense conducts mission planning for the More ❯

technologies to develop strategies for accomplishing complex objectives. This includes comprehensive planning, resource allocation, and the creation of contingency plans to ensure mission success. Our advanced planning solutions leverage AI, machine learning, and real-time data analysis to anticipate and adapt to dynamic operational conditions. These innovations will fundamentally transform how the Department of Defense conducts mission planning for the More ❯

technologies to develop strategies for accomplishing complex objectives. This includes comprehensive planning, resource allocation, and the creation of contingency plans to ensure mission success. Our advanced planning solutions leverage AI, machine learning, and real-time data analysis to anticipate and adapt to dynamic operational conditions. These innovations will fundamentally transform how the Department of Defense conducts mission planning for the More ❯

technologies to develop strategies for accomplishing complex objectives. This includes comprehensive planning, resource allocation, and the creation of contingency plans to ensure mission success. Our advanced planning solutions leverage AI, machine learning, and real-time data analysis to anticipate and adapt to dynamic operational conditions. These innovations will fundamentally transform how the Department of Defense conducts mission planning for the More ❯

AI Technical Consultant Engineer L LM, Python, RAG, Data Analyst SQL, Tableau, R, Python, Gen AI & Machine Learning. Hybrid working, office location Weybridge, Surrey. Build and refine LLM/SLM-based Generative AI solutions from scratch, including retrieval-augmented generation (RAG), fine-tuning, and prompt engineering. Design and oversee solution architecture for AI-powered systems across cloud and on-premise … environments. Develop ML models and integrate them into production systems, ensuring scalability and performance. Collaborate with cross-functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimise AI applications, ensuring continuous performance improvement. 5 + years commercial experience in GenAI, NLP, and Machine Learning. 5+ years hands-on skills Python development skills. Integrating with SQL/… NoSQL databases. Experience with API development, web scraping/crawling, and data integration. Practical exposure to on premise AI model deployment and open-source AI frameworks (e.g., Ability to assess AI tools and recommend optimization for performance improvements. Bachelors or Masters degree or equivalent in Computer Science, Machine Learning, Engineering, or related field. More ❯

Artificial Intelligence Engineer (Data Science & ML focus) Remote working with occasional meet-ups £50,000-£60,000 Join us in building cutting edge AI applications, unlocking the full potential of AI within commerce. It's new, it's exciting and it's an opportunity to work with some incredible talent in this space. The role The role is building AI … BERT You'll make use of Python programming, Pyspark, tensorflow, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. Cloud data platforms and a diverse set of tools for AI app deployment. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have the support of exceptionally talented senior … Typescript programming - working in a business and successfully building new apps both independently and as part of a team Some hands on experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/ More ❯

AI Developer/Engineer Sheffield or Leeds - Hybrid Working Competitive Salary + Excellent Benefits + Strong Progression Opportunities Their IT and Systems team sits at the heart of the organisation, driving innovation, building in-house solutions and automating processes to keep the business running efficiently. As the company continues to expand, they re now taking the next step embedding AI … unlock new levels of efficiency. They are looking for a motivated, tech-minded professional to help support this evolution. Work with the Head of IT to design and deliver AI-powered tools that streamline workflows Build and test proof-of-concept applications using Python, JavaScript and Cloud APIs Integrate AI solutions with existing business systems and data platforms Translate business … needs into practical, AI-driven solutions that deliver measurable value Develop user guides and documentation for new AI tools Support internal teams through training sessions and workshops Provide ongoing technical support for AI-related systems Stay informed on AI trends and tools, identifying new opportunities for automation and improvement Collaborate closely with cross-functional teams to align AI projects with More ❯

AI Engineer - Investment Platforms - upto £110k London, hybrid (3 days a week) We re partnering with a leading alternative asset manager to hire an AI Engineer at AVP level. You will build practical AI, automation and analytics solutions that support investment teams across the deal lifecycle. The focus is on shipping useful tools quickly, then evolving them as adoption … grows. You have a deep understanding of AI and have experience developing GenAI applications into production, with a focus on solving the problem ahead of choosing the technology. You re comfortable with ambiguity and skilled at helping non-technical stakeholders define their needs. Own delivery of end-to-end automation and AI workflows using Python and SQL, with frameworks such … orchestration Integrate LLMs into production use cases, including prompt engineering, RAG pipelines and agentic patterns where appropriate Lead hands-on sessions to drive adoption and help teams spot new AI opportunities 5 to 8 years in developing AI/ML solutions Experience in end2end development and deployment of ML models Experience with financial data APIs or market data feeds Azure More ❯

AI Engineers Senior, Staff & Principal AI Engineers Were partnering with a global energy leader thats transforming how AI powers decision-making across one of the worlds most complex and data-rich enterprises. Their AI Acceleration organisation is at the heart of this transformation, building production-grade AI systems that deliver measurable impact at speed. As part of a 400+ strong … global data and AI community, youll work on some of the most ambitious projects in the industry. Think AI agents uncovering commercial leakage across contracts and invoices , LLM-powered search and conversational platforms , generative BI tools , and AI automation systems that streamline operations across trading, supply chain, and customer domains. Were hiring across multiple levels; from Senior AI Engineers who … love building and deploying robust AI applications, to Staff and Principal Engineers who can define architecture, lead cross-functional initiatives, and shape enterprise-wide AI strategy. What youll do: Design and build production-grade AI systems using modern software engineering practices (CI/CD, observability, cloud-native design). Integrate cutting-edge AI technologies LLMs, RAG, vector databases, AI agents More ❯

AI Engineers – Senior, Staff & Principal AI Engineers We’re partnering with a global energy leader that’s transforming how AI powers decision-making across one of the world’s most complex and data-rich enterprises. Their AI Acceleration organisation is at the heart of this transformation, building production-grade AI systems that deliver measurable impact at speed. As part of … a 400+ strong global data and AI community, you’ll work on some of the most ambitious projects in the industry. Think AI agents uncovering commercial leakage across contracts and invoices , LLM-powered search and conversational platforms , generative BI tools , and AI automation systems that streamline operations across trading, supply chain, and customer domains. We’re hiring across multiple levels … from Senior AI Engineers who love building and deploying robust AI applications, to Staff and Principal Engineers who can define architecture, lead cross-functional initiatives, and shape enterprise-wide AI strategy. What you’ll do: Design and build production-grade AI systems using modern software engineering practices (CI/CD, observability, cloud-native design). Integrate cutting-edge AI technologies More ❯

Machine Learning Engineer (Conversational AI) Clearance: BPSS Eligible Start: ASAP Work pattern: Hybrid Work type: 12 month FTC (Competitive Salary) Amber Labs are supporting a major government programme focused on transforming public services through the use of AI and automation. This programme is shaping how people interact with digital services across departments improving accessibility, efficiency, and user experience. We re … looking for a Machine Learning Engineer (Conversational AI) to help design and build advanced conversational and agentic AI solutions. You ll work with multi-disciplinary teams to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex . Fine … performance, accuracy, and cost efficiency. Build evaluation pipelines to ensure model reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … into production-ready solutions that impact millions. You’ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based … data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … into production-ready solutions that impact millions. You’ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based … data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering More ❯

We are looking for a highly skilled Full Stack Engineer with expertise in React.js , Python (Flask/FastAPI/Django) , and Azure Cloud , who is passionate about integrating Generative AI models and optimizing modern application architectures. You will be responsible for building end-to-end intelligent systems that connect dynamic Front End interfaces with powerful AI-enabled Back End services. … Development: Design and implement robust RESTful and GraphQL APIs using Python frameworks ( Flask , FastAPI , or Django ). Build and maintain secure authentication , authorization , and data processing pipelines . Integrate AI models into Back End systems to enhance product functionality. AI Model Integration: Embed pre-trained Generative AI models and Agentic frameworks (A2A, MCP) into scalable applications. Optimize inference pipelines using … ONNX , TensorRT , or similar tools. Ensure smooth communication between Front End , Back End , and AI endpoints . Cloud & DevOps: Deploy and manage applications on Microsoft Azure using AKS (Azure Kubernetes Service) , Azure Functions , and Databricks . Automate infrastructure setup through Terraform . Implement CI/CD pipelines using Azure DevOps , GitHub Actions , or Jenkins . Containerize applications with Docker and More ❯

Agentic) – Bank – London Day rate: £500 - £700 (inside IR35) Duration: 6 months Start: ASAP My client is looking for a Technical Lead, you will architect, develop, and deliver agentic AI solutions for Copilot Catalyst engagement. You will lead the technical implementation of the agentic framework, leveraging Microsoft Copilot Studio, Power Platform, and related AI technologies. You will ensure solutions are … scalable, secure, and compliant, and will collaborate closely with business and technology stakeholders. Key Responsibilities: Lead the technical design and delivery of agentic AI solutions using Copilot Studio, Power Platform, and Azure AI Foundry. Architect and implement the Declarative Agentic Framework, embedding governance, controls, and compliance best practices. Develop and validate pilot M365 agents (e.g., for document search, reporting, digital … on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of new features. Ensure all solutions align with their compliance, governance, and risk management requirements. Required Skills & Experience Proven experience leading technical delivery of AI/automation More ❯

Agentic) – Bank – London Day rate: £500 - £700 (inside IR35) Duration: 6 months Start: ASAP My client is looking for a Technical Lead, you will architect, develop, and deliver agentic AI solutions for Copilot Catalyst engagement. You will lead the technical implementation of the agentic framework, leveraging Microsoft Copilot Studio, Power Platform, and related AI technologies. You will ensure solutions are … scalable, secure, and compliant, and will collaborate closely with business and technology stakeholders. Key Responsibilities: Lead the technical design and delivery of agentic AI solutions using Copilot Studio, Power Platform, and Azure AI Foundry. Architect and implement the Declarative Agentic Framework, embedding governance, controls, and compliance best practices. Develop and validate pilot M365 agents (e.g., for document search, reporting, digital … on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of new features. Ensure all solutions align with their compliance, governance, and risk management requirements. Required Skills & Experience Proven experience leading technical delivery of AI/automation More ❯

Agentic) - Bank - London Day rate: £500 - £700 (inside IR35) Duration: 6 months Start: ASAP My client is looking for a Technical Lead, you will architect, develop, and deliver agentic AI solutions for Copilot Catalyst engagement. You will lead the technical implementation of the agentic framework, leveraging Microsoft Copilot Studio, Power Platform, and related AI technologies. You will ensure solutions are … scalable, secure, and compliant, and will collaborate closely with business and technology stakeholders. Key Responsibilities: Lead the technical design and delivery of agentic AI solutions using Copilot Studio, Power Platform, and Azure AI Foundry. Architect and implement the Declarative Agentic Framework, embedding governance, controls, and compliance best practices. Develop and validate pilot M365 agents (e.g., for document search, reporting, digital … on integration patterns (MCP, A2A), security, and data handling. Engage with senior stakeholders to gather requirements, present solutions, and drive adoption. Stay current with Microsoft Copilot, Power Platform, and AI advancements; recommend adoption of new features. Ensure all solutions align with their compliance, governance, and risk management requirements. Required Skills & Experience Proven experience leading technical delivery of AI/automation More ❯

AI Product Manager (RAG experience essential) - £650 per day - Outside IR35 Are you excited by the challenge of turning cutting-edge AI into real, working products? We’re looking for an experienced Product Manager to help define, deliver, and scale AI Minimum Viable Products (MVPs) for a major enterprise client - applying RAG, LLMs, and generative AI to automate workflows, enhance … decision-making, and unlock productivity across business functions like Finance, HR, and Operations. This is a client-facing delivery role within a leading Data & AI transformation consultancy, working alongside world-class data scientists, engineers, and strategists to move ideas from concept to production. 🔍 The Role Lead the definition and delivery of multiple AI MVPs from discovery through to validation and … scaling. Partner with business and technical stakeholders to identify high-value AI opportunities and shape product roadmaps. Translate requirements into actionable user stories and acceptance criteria for engineering and data teams. Collaborate closely with teams building solutions using RAG pipelines, LLMs, embeddings, and API integrations. Define and track KPIs such as accuracy, latency, adoption, and ROI — iterating based on real More ❯

AI/ML Engineer Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … the following job specs carefully before applying. You ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based … data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years experience in applied ML, data engineering More ❯

Data Scientist Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company born from world-class academic research and now powering decision-making for major brands like Boots. Youll work at the intersection of science and impact, turning large, complex behavioural datasets into production-ready AI models that drive … collaborate with engineering and product teams to operationalise models Communicate insights clearly to both technical and non-technical audiences What You Bring Strong academic background (STEM or data/AI-related field) 2+ years experience in applied data science or ML Skilled in Python (pandas, scikit-learn; PyTorch/TensorFlow a plus) and SQL Hands-on experience with real-world … messy datasets Curious, analytical, and motivated by practical impact Why Join Work with a modern AI/ML stack (Python, SQL, Databricks, cloud-first) Shape intelligent systems used across multiple industries Hybrid working (2 days/week in Nottingham HQ) 30 days holiday + flexible working + strong culture of curiosity and experimentation This is a hands-on data science More ❯

Support Teams, and data teams to ensure timely resolution of issues. Document each issue including the solution to contribute to knowledge base. When bandwidth allows, provide support for the AI Agent Foundry initiative, contributing to the development and maintenance of AI-driven solutions. Qualifications: Experience in developing robust ETLs and ensuring data quality Strong analytical and problem-solving skills Able … and technology teams Very collaborative and coachable Ability to pivot when needed Experience with data platforms, ingestion pipelines, or UI/UX troubleshooting is a plus Exposure to GenAI, AI/ML tools or platforms is a bonus Preferred Skills: SQL, Snowflake, Python, Databricks, Azure Palantir is a bonus More ❯

Job Title: Artificial Intelligence Engineer Start Date : Immediately vacant. Salary: Competitive based on experience Location: Silverstone Hours: Full time Reports to: Motorsports Director Role Type: Contract or Permanent The Revival of a Legend: Lola Cars, one of the world’s iconic motorsport brands, and the most successful manufacturer of customer racing cars of all time. Since 1958, Lola has been … systems. The Opportunity: We are seeking a passionate and skilled AI Engineer to join the small yet growing, dedicated and talented team at Lola. This role focuses on leveraging artificial intelligence solutions to enhance vehicle performance, optimize race strategies, and advance driver safety in the high-speed world of motorsports. The ideal candidate will have a strong background in AI … to ensure reliability and effectiveness in race conditions. Contribute to wider application of AI across the business Technical Skills required: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying AI models, preferably within high-performance or real-time environments. Proficiency in programming languages such as Python More ❯