251 to 275 of 4,653 Artificial Intelligence Jobs in England

stewardship across all departments. Work with the CIO, to recommend and implement a scalable and secure data foundation, enabling data democratisation and providing the basis for exploitation of emerging AI technology. Design and implement scalable data architecture, including data models, common data structures and nomenclature. Ensure seamless integration of disparate data sources from various business units to provide a single … platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools that facilitate data-driven decision making. … business to understand their data needs and deliver tailored solutions. Liaise with external partners, vendors and regulatory bodies to ensure the organisation remains at the forefront of data, analytics & AI innovation and compliance. Ensure data is used ethically and responsibly, providing a trustworthy foundation for AI applications. Skills, Knowledge and Expertise Bachelor's Degree in Computer Science, Data Science, Information More ❯

teams and charter based out of India. We expect the size of this team to be 130 + FTEs spread across SDMs, SDEs, TPMs, Applied and Research Scientists, Business Intelligence Engineers (BIE), Programmer Analyst and Program Manager. This leader will recruit and develop high-caliber leaders and individuals. This role represents significant intellectual, technical and innovation challenges with large … experience managing senior engineering managers. Understanding of software engineering practices & best practices for the full software development life cycle including coding standards, build processes, testing, and operations. Background in AI, machine learning, natural language processing, and related disciplines PREFERRED QUALIFICATIONS Master's degree in Computer Science or related field. Demonstrated experience leading product and development teams, with a focus on … a product to market. Proven track record of taking emerging technologies from research to production-ready solutions Experience deploying and optimizing self-service portals, knowledge bases, chatbots, and other AI-powered customer service tools Familiarity with generative AI models and applications in customer interactions, and process automation Excellent communication and stakeholder management skills Our inclusive culture empowers Amazonians to deliver More ❯

ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and … life-long learning, and driving business value through ML Preferred Experience working with Databricks & Apache Spark to process large-scale distributed datasets 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 ❯

of policies and raised over $200 million in funding. And we're only just getting started. About the team We don't build pricing models, we build the driving intelligence that feeds them. Our mission is to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people … 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 ❯

Senior Research Engineer Do you love creating innovative solutions for customers? We are seeking a passionate Senior Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs, you will have a direct impact on our company by helping to create new and … As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company's digital transformation. The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can think in code … challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement More ❯

order size, payment methods, currency pairs, user types, and geographies. Conduct market research and competitive analysis to identify trends, opportunities, and potential areas for growth Build crawlers and competitive intelligence tools to provide MoonPay with deep insights on competitor behavior across the Web3 ecosystem Utilize data-driven insights to forecast, experiment, and demonstrate the incrementality of monetization strategies, making … EPPO for experimentation DBT, Docker, Cloud Run/Kubernetes, and Airflow for data orchestration and data pipelines Looker data visualization Git and GitHub for code collaboration Ability to leverage AI tools such as Cursor and LLMs in the day-to-day work Nice to have, but can be learned on the job: Experience with web and/or app Scraping … inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process. Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won't ask for your personal identification documents or any money from you during your More ❯

Build the future of the AI Data Cloud. Join the Snowflake team. Technical Account Manager Snowflake's Account 360 team is expanding! We are looking for a Technical Account Manager to join our team. This role combines technical and commercial responsibilities. On the technical side, you will become the post-sales technical lead for your assigned customer's workloads running … partner ecosystem as it pertains to Snowflake solutions Skilled in resolving complex escalations with senior customer executives Excellent verbal, written, communication, and receptive listening skills High levels of emotional intelligence (EQ), empathy, proactivity, and the ability to advocate for both customers and internal teams Successful experience working, collaborating, and establishing relationships with leadership, colleagues, and clients Excellent team player More ❯

About GSS Hello. Welcome to GSS! We're transforming the global financial system with cutting-edge technology, including artificial intelligence and collaboration with top financial institutions. Our platform sets new standards in compliance screening for sanctions, making international payments faster, smoother, and friction-free. Join us in revolutionising the industry and making a real impact! About the Role More ❯

will deploy customized IT strategies, digital platforms and architecture in order to leverage the digital potential of our customers with state of the art tools such as cloud computing, AI, blockchain, microservices and containerization. You will evaluate and coach our clients' technology teams, manage quality and risk while maintaining client expectations and escalations. Besides the functional guidance of the project … the following: IT Modernization; Solution & Enterprise Architecture Marketing, Sales & Service Platforms (CRM) Physical & Digital Channels (Including Mobile) ERP (SAP) &Manufacturing Platforms Banking & Insurance Platforms People, HR, Collaboration Platforms Applied Intelligence, Machine Learning, RPA, Chatbots, Blockchain, IOT DevOps & Bimodal IT Data Analytics, Big Data, Data Platforms Cyber Security Strong business acumen; can frame complex problems in appropriate business contexts A More ❯

trends, technologies, and best practices. What we are looking for: Experience leading development teams and/or projects , demonstrating strong technical leadership and organisational skills. A keen interest in Artificial Intelligence and Large Language Models (LLMs) and their potential applications within our products. Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure, including deploying More ❯

fields in technology today - Big Data analytics. You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide: • Credit Scoring - FICO Scores are used by 90 of the 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 ❯

Lead Data Engineer – London – £120,000 Sector: AI Consulting | Client Delivery Type: Full-time | Hybrid Join a tech consultancy at the forefront of applied AI—helping global brands design and deploy intelligent systems that solve real business problems. They combine deep engineering know-how with domain expertise to build the data infrastructure that powers machine learning and generative AI at … scale. 🔍 About the Role As a Lead Data Engineer , you’ll play a critical role in delivering AI-driven solutions for clients—owning the architecture and development of robust, scalable data platforms that feed into machine learning models and intelligent applications. You’ll work closely with Data Scientists, MLOps Engineers, and domain experts to ensure clean, accessible, and production-grade … data pipelines are in place to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature More ❯

Lead Data Engineer – London – £120,000 Sector: AI Consulting | Client Delivery Type: Full-time | Hybrid Join a tech consultancy at the forefront of applied AI—helping global brands design and deploy intelligent systems that solve real business problems. They combine deep engineering know-how with domain expertise to build the data infrastructure that powers machine learning and generative AI at … scale. 🔍 About the Role As a Lead Data Engineer , you’ll play a critical role in delivering AI-driven solutions for clients—owning the architecture and development of robust, scalable data platforms that feed into machine learning models and intelligent applications. You’ll work closely with Data Scientists, MLOps Engineers, and domain experts to ensure clean, accessible, and production-grade … data pipelines are in place to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature More ❯

position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and … architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in More ❯

position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great opportunity for someone … up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design, code reviews, and … architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in More ❯

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist/AI Engineer in Cheltenham. Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we … We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience … successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile More ❯

teams, often on a global basis, to develop and implement data management frameworks, strategies, and solutions that reduce data risk, drive business value and enhance decision-making capabilities. Our AI & Data team is dedicated to championing the potential and careers of individuals from all walks of life, providing support including flexible working arrangements . The opportunity In this Consulting role … with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. Data Management & Strategy - Supporting our financial services clients manage AI & Data Risk, define AI & Data Strategies, implement Data Product solutions, design Target Operating Models and enable Data Offices to become transformational to their business Support the build of a Data … in communities like Women in Banking and Finance. Your key responsibilities Collaborate within client facing delivery teams on complex data transformation programs in Financial Services, covering roles such as AI & data strategy, data risk and control analysis, solution design, AI governance, and end-to-end implementation management. Assist clients in executing their AI & Data strategy through deployment of modern Data More ❯

KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and … data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions … learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯

KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and … data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing … AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries More ❯

we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Software Engineering Manager, Backend to join the Consumer Generative AI team at Snap! What you'll do: Lead a team of backend Software Engineers to evolve Snap's consumer-facing Gen AI products, including Image AI Lenses, Video AI Lenses … and Gen AI features for Snapchat+ Collaborate with Product, Machine Learning, Engineering, Research, Data Science teams , and executive stakeholders to iterate on existing Gen AI products and launch new ones Facilitate technical planning, code reviews, and ensure high-quality code and operational standards across projects Evaluate the technical tradeoffs of major decisions and be a strong technical mentor Manage and … quick-to-market environment Hire, grow and retain high-performing team members Knowledge, Skills & Abilities: Experience setting the direction for customer-facing product teams leveraging Machine Learning/Generative AI Track record of delivery high availability ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments Strong management and mentorship skills, fostering a collaborative and innovative 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 ❯

and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of … our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders … across the business to expand the understanding and impact of machine learning and AI throughout Trainline. The Role We are looking for a MLOps Engineering Manager to join our team and help shape the future of train travel. You will be part of a highly innovative AI and ML team working alongside engineers, scientists and product managers to tackle complex More ❯

backend (Python, Node.js) and frontend (React, TypeScript) development Mentor and manage a cross-functional team of engineers; drive hiring and technical excellence Collaborate with Product and Senior Leadership on AI-powered features, automated analytics, and data engineering Champion agile methodology – sprint planning, retrospectives, and continuous delivery Ideal Candidate Profile: 6+ years of software engineering experience, with a track record of … with high ownership, strategic thinking, and communication skills Preferred (Nice-to-Have): Experience in building or scaling SaaS platforms Background in sustainability, ESG, or environmental data software Familiarity with AI/ML readiness , analytics pipelines , or data engineering Exposure to database schema design and big data strategy What You’ll Get: Opportunity to shape architecture and technology strategy for a … SaaS, ESG, Python Developer, Node.js Developer, React Developer, TypeScript, GitHub Actions, Jenkins, Terraform, Docker, Kubernetes, Serverless, Agile, CI/CD, Cloud Architecture, Data Engineering, Full-Stack Developer, Sustainability Tech, AI/ML Platform More ❯