51 to 75 of 8,515 Artificial Intelligence Jobs in England

work to improve the profitability of the company through new data sources and advanced modelling techniques. This role is an end-to-end data science role spanning the entire AI lifecycle from ideation through to production deployment of models as well as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes More ❯

work to improve the profitability of the company through new data sources and advanced modelling techniques. This role is an end-to-end data science role spanning the entire AI lifecycle from ideation through to production deployment of models as well as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes More ❯

Merging techniques), etc. Good understanding of Developer Desktops - both Physical and Virtual (W365) and implementation of tooling framework/solutions for Desktops Good understanding of the basics of Gen AI concepts and solutions - GitHub Copilot, GitLab Duo, Q developer. Previous experience in a Project delivery, Coordination or Support role Previous experience of Software Development, Business and Technical Analysis, Quality Assurance More ❯

Bloomsbury Square, London, United Kingdom Software Engineer - AI/ML/Python (Lead Level) at N Consulting Ltd Job Title: Software Engineer - AI/ML/Python (Lead Level) Location: London, United Kingdom (Hybrid - 2-3 days onsite per week) Contract Type: Contract (6 months, with extension likely) Start Date: Immediate/Within 2-4 weeks Job Description: We are … seeking an experienced and highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design … and Python-based development, along with leadership experience in agile teams. Key Responsibilities: Lead the architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance More ❯

and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Lead AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Accountabilities Accountable for providing hands-on technical knowledge, while … organizational standards. Key Responsibilities Capture client requirements and lead the development of solution architectures that meet both current and future business needs Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business … scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments More ❯

Technically sharp AI Prompt Engineer Youll design and optimize prompts, build LLM-powered applications, and deploy scalable GenAI solutions that connect people and intelligent systems in new ways. ?? What Youll Do Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of … Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply MLOps/LLMOps practices with MLflow, Weights & Biases … and collaboration skills. Curious, adaptable, and passionate about staying at the edge of Generative AI. ?? Nice to Have Experience with PromptOps tools (PromptLayer, Humanloop, LangFuse). Knowledge of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere More ❯

AI Prompt Engineer Location: UK Rate: £400.00 Outside IR35 We are seeking a dedicated and technically proficient AI Prompt Engineer to spearhead the development and optimisation of prompts for advanced platforms such as DealCloud, Filament Sifter, and Capsa. The ideal candidate will possess hands-on experience with generative AI technologies, leveraging their skills to significantly enhance user interactions and outcomes. … This role involves close collaboration with leading AI vendors to ensure optimal prompt performance and foster innovation. In addition to prompt engineering, the successful candidate will play a vital role in supporting chatbot development and integrating AI-driven insights into enterprise workflows and interactive dashboards, thereby driving efficiency and improving decision-making processes across the organisation. Key Responsibilities: Develop, test … and refine high-quality prompts tailored for DealCloud, Filament Sifter, and Capsa use cases. Work closely with AI vendors such as ChatGPT, Claude, and Perplexity to enhance prompt performance and relevance. Support the design and implementation of AI-powered chatbots within DealCloud to improve user interaction and automation. Collaborate with data engineers and visualisation specialists to embed AI-driven insights More ❯

industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan … and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize … Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance More ❯

industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that can reason, plan … and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize … Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance More ❯

a world where businesses predict market shifts before they happen, anticipate customer needs with precision, make the smartest decisions in real-time, and augment their business processes flow with AI agents. At Cognizant's Advanced AI Lab , we're making that a reality with Neuro AI -a next-generation AI platform that models entire businesses processes for automation and real … time decision-making. We're seeking a Solution Architect with deep expertise in Generative AI and Agentic AI to design and lead the implementation of intelligent systems that automate and optimize business processes. You'll work with technologies like GPT, Gemini, Claude, and autonomous AI agents to help clients streamline operations and gain competitive advantages. You'll be a strategic … advisor guiding clients across industries in applying AI to improve customer experience, supply chains, finance, HR, and more. Responsibilities include solution design, client engagement, training, and collaboration on product roadmaps. We're looking for someone innovative, articulate, client-focused, and comfortable with travel, RFPs, and SOW writing. Be part of building the intelligent business of the future. Key Responsibilities: Design More ❯

AI Engineer (Machine Learning Expertise) Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, Permanent SC Eligibility Required Joining Our Mission Shape the future. Make an impact. At QuantSpark, pioneering the strategic application of data, analytics, and AI is at the heart of our work. We empower businesses and government to thrive, not just … scale, and forging solutions that leave a legacy of prosperity and efficiency. Here, engineers and strategists collaborate daily, compressing years of traditional progression into an accelerated path. As an AI Engineer, you'll operate at both the visionary and technical frontier, steering teams who build, own, and transform essential platforms and products. Our Client Portfolio We work with high-growth … organisations and sector leaders: Financial Services & Private Equity: Delivering AI-powered analytics, risk, and operational tools. Retail & Consumer Brands: Optimising pricing, inventory, and engagement through actionable analytics. Asset Management: Developing investment infrastructure and automated risk management systems. Public Sector: Trusted by government departments for fraud analytics, predictive maintenance, and operations optimisation. SaaS & Manufacturing: Driving technological transformation and efficiency across verticals. More ❯

as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable teams to solve … problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real business impact. This role and team collaborate … closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications. As AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Partnering with stakeholders to scope problems and More ❯

Job title: AI & Data Developer Reports to: Head of AI and Data Location: Hybrid (strong preference for Reading office) Hours: Monday to Friday, 37.5 hours per week Salary: Competitive + BCN benefits About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it's full … learning solutions, aligned to operational goals and governance standards. Prepare and transform data for modelling using Python and Azure-native tools, ensuring quality and consistency across the ML and AI lifecycles. Evaluate, and deploy models using AutoML, MLflow, and custom pipelines, with a focus on performance, scalability, and maintainability. Monitor model performance, detect drift, and implement retraining strategies to maintain … relevance and accuracy. Apply responsible AI principles including fairness, explainability, and privacy to support ethical and transparent model development. Collaborate with cross-functional teams to integrate ML and AI solutions into business processes, improving engagement, productivity, and decision-making. Support our clients maintain and optimise Azure ML environments to deliver reproducible experimentation and efficient deployment. Person, Skills & Experience: Certified in More ❯

innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a (Senior) AI Software Engineer you'll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll … well as leading conferences on behalf of BCG X. We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following: +4 years of experience in a technology consulting environment Apply software development practices and standards to develop robust and maintainable software Actively … s degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI More ❯

Graduate AI Engineer | London | Hybrid Working 🚀 Are you a Graduate AI Engineer ready to launch your career applying Artificial Intelligence to real-world business and financial challenges? We’re looking for a motivated and technically minded Graduate AI Engineer with hands-on industry experience in AI — whether through internships, placements, or commercial projects — to join our hybrid-working … innovation and data-driven decision-making across the organisation. This is an exciting opportunity to join a global technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI … pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career Growth – Gain structured mentorship More ❯

Graduate AI Engineer | London | Hybrid Working 🚀 Are you a Graduate AI Engineer ready to launch your career applying Artificial Intelligence to real-world business and financial challenges? We’re looking for a motivated and technically minded Graduate AI Engineer with hands-on industry experience in AI — whether through internships, placements, or commercial projects — to join our hybrid-working … innovation and data-driven decision-making across the organisation. This is an exciting opportunity to join a global technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI … pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career Growth – Gain structured mentorship More ❯

Graduate AI Engineer | London | Hybrid Working 🚀 Are you a Graduate AI Engineer ready to launch your career applying Artificial Intelligence to real-world business and financial challenges? We’re looking for a motivated and technically minded Graduate AI Engineer with hands-on industry experience in AI — whether through internships, placements, or commercial projects — to join our hybrid-working … innovation and data-driven decision-making across the organisation. This is an exciting opportunity to join a global technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI … pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career Growth – Gain structured mentorship More ❯

backed Fintech on a mission to redefine how accounting and financial operations are automated through cutting-edge AI. You’ll be part of a small, high-impact team building AI-powered systems that automate end-to-end workflows, from document processing to regulatory filing, driving real value for tens of thousands of users. This isn’t about chatbots. It’s … about creating production-grade, scalable AI features that make a measurable difference. What You’ll Do Architect and build AI-driven applications from front-end to back-end Design secure, scalable back-end services using C# .NET Develop intuitive front-end interfaces with React, Vue, or Blazor Integrate LLMs and GenAI features into core product experiences Lead technical decision-making … and mentor engineers within your squad Ensure best practices across testing, observability, and code quality What We’re Looking For Proven experience delivering AI/ML-powered production systems (not prototypes) Strong full-stack capability – C# .NET + modern JavaScript frameworks Solid understanding of REST APIs, cloud platforms (Azure/AWS/GCP), and agile delivery A passion for clean More ❯

week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics … arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training … and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming More ❯

week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics … arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training … and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming More ❯

week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics … arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training … and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming More ❯

week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics … arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training … and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming More ❯

week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics … arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training … and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming More ❯

understanding the nuances of their connected financial data. You will use this domain expertise to contribute to product strategy, challenge assumptions, and architect solutions that deliver genuinely actionable intelligence. AI-Driven Innovation: Proactively identify and prototype opportunities to embed AI/ML into our core products, leveling up our offering and delivering novel value to clients. Alongside this, you will … champion the use of AI tools to streamline engineering operations, enhance productivity, and upskill others across the team. AI-Driven Execution: Leverage AI to maximize productivity, be that in conducting research, gathering information or building solutions Be action-oriented : Eager to take ownership of large-scale projects, championing ideas from discovery all the way to production Strategic & Tactical: Balancing big … role. What you'll bring to the team A broad and deep understanding of a wide range of data science techniques, including classic ML, deep learning and cutting edge AI & Agents, honed through extensive practical experience across a range of domains Expert-level proficiency in Python and its data science ecosystem (e.g., scikit-learn, pandas), with the ability to select More ❯

with great general skills to join our first-class technical team. An ideal candidate thrives on solving complex problems and is eager to shape how we build and apply AI and large language models within our products. You'll be deeply involved in technical decisions, architecture and best practices, while contributing directly to the codebase. Beyond core programming skills, we … Go, VueJS, Postgres and Python, deployed through a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we're building the next generation of our data and AI infrastructure - exploring frameworks like Hugging Face, LangChain, LlamaIndex and agent orchestration systems. We use Cursor and Copilot to speed iteration and experimentation. We're always open to new approaches, whether … it's a different data stack, AI toolkit, or a creative way to apply LLMs in production. Responsibilities: Design, build and scale robust services, APIs and user-facing features across the stack. Take ownership of end-to-end delivery - from technical design and implementation through to testing, deployment, and monitoring. Contribute to and evolve our architecture, helping define patterns and More ❯