76 to 100 of 3,448 Artificial Intelligence Jobs in England

action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized … customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will enjoy … customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 30% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and More ❯

minded individual with an interest in conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on … in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently … in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep ML theory … knowledge — ideally a PhD/postdoc in AI/ML Knows when not to use a model based on cost vs. impact Advocates for AI productivity tools and uses them daily Is commercially minded, tech-savvy, and client-facing 🎯 Must-haves: 8+ years in Data Science/ML Engineering 2+ years hands-on with Databricks Strong track record delivering production … Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years … Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm … and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you. More ❯

managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years … Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm … and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you. More ❯

managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years … Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm … and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you. More ❯

managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years … Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm … and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you. More ❯

managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years … Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm … and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you. More ❯

understanding their needs and communicating feedback to the Product teams. The Chief Data and Analytics Office Product and Platform team designs and delivers governance, discovery, access, and data and AI services, enabling JPMorgan Chase teams to accelerate their data and analytics initiatives and maximize outcomes. The Client Engagement Team manages account relationships, solutions, implementation, and client service for various Lines … Support internal clients in using the Fusion Platform, providing expertise and guidance on multiple Product capabilities. Engage with clients to understand requirements and support the implementation of data and AI solutions. Represent the Product Roadmaps, articulating benefits and providing guidance on strategic paths. Develop AI/ML experiments, applications, and tools, including tutorials and presentations for internal clients. Provide feedback More ❯

intelligent, human-centered technology. We're looking for a talented and experienced Senior Fullstack Developer to play a pivotal role in the development and growth of a brand-new AI recruitment platform as it prepares to enter the market this summer. This is a rare opportunity to take a product from Beta launch to full market release and beyond, shaping … product owners, UX/UI designers, and other stakeholders to translate requirements into technical solutions. Champion agile ways of working, driving continuous improvement and delivery excellence. Integrate and optimize AI tools and APIs to enhance development productivity and platform capabilities. Provide technical mentorship and leadership to development teams, fostering best practices in coding, testing, and deployment. Participate in code reviews … stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS platforms in a production environment. Strong understanding and practical application of Agile software development methodologies. Hands More ❯

Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross-functional teams to design experiments and deliver actionable insights. Contribute to AI-driven initiatives, such as chatbots or recommendation engines. Communicate findings clearly to stakeholders and influence strategic decisions. What We're Looking For: Proven experience in data science or data engineering … or e-commerce. Strong proficiency in Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be part of a mission-driven team transforming More ❯

think it's a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life. Our approach to AI We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people … to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do it well. Benefits We reward our people well. Join us and you'll More ❯

that drive key components of the audit technology landscape. You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. You’ll collaborate closely with engineering peers, architects, and … enforce security best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to More ❯

that drive key components of the audit technology landscape. You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. You’ll collaborate closely with engineering peers, architects, and … enforce security best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to More ❯

that drive key components of the audit technology landscape. You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. You’ll collaborate closely with engineering peers, architects, and … enforce security best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to More ❯

that drive key components of the audit technology landscape. You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. You’ll collaborate closely with engineering peers, architects, and … enforce security best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to More ❯

that drive key components of the audit technology landscape. You will develop integrations with internal and external APIs, build cloud-native components on Azure - while also contributing to innovative AI and data-driven solutions, leveraging technologies such as Databricks, data pipelines, and large language models (LLMs) to power next-generation applications. You’ll collaborate closely with engineering peers, architects, and … enforce security best practices to safeguard API communication and data integrity. Cloud Engineering: Design and implement components using Azure services such as Function Apps, API Management, Application Gateway, Azure AI Foundry, Databricks and Service Bus. DevOps & CI/CD: Collaborate on build and deployment automation using Git, Azure DevOps, and CI/CD pipelines. Workflow Automation: Collaborate with stakeholders to More ❯

in the portfolio. You will optimize against many requirements such as functional needs, quality attributes (e.g., security, usability), cost, sustainability, and enterprise-wide goals (e.g., cloud and API enablement,ai). You document architecture views and deliver architecture artefacts required by the delivery process and enable teams to maximize automation in the CI/CD pipeline. Moreover, you will be … Microservices architecture implementation using REST APIs, queue-based messaging patterns, relational and NoSQL databases Working knowledge of Machine learning model integration and MLOps pipelines. Working knowledge of orchestration for AI services. Working knowledge of on-premises/cloud-based infrastructures, SDLC pipelines, and deployments/configurations and definition/evangelism of best practices/standards Proven advanced experience with systems More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯