551 to 575 of 6,507 Permanent Artificial Intelligence Jobs

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 ❯

Data Engineer (Databricks) - Leeds (Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for Data … seeking a Data Engineer with strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools … Pension + Benefits To apply for this position please send your CV to Nathan Warner at Noir Consulting. (Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Data Engineer) NOIRUKTECHREC NOIRUKREC 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 ❯

customer teams to seek, understand, validate, interpret, and correctly use data and business insights • MLOps, Model Engineering, Training on time series data. • After few weeks training on Customer's AI platform, develop AI-based applications using Customer's platform for operational cloud-deployed and secure lab deployed AI-based applications. • Develop candidate models that are promoted to active models when … their performance meets threshold. • Train, validate and deploy machine learning pipelines • Test, troubleshoot, and enhance customer AI-based applications based on feedback. • Manage individual project deliverables • Identify application performance bottlenecks and implement optimizations • Write application specifications and documentation • Articulate methodologies, experiments, and findings clearly in actionable way. • Work in a fast-paced environment. • This is NOT a data analytics role … conducting, analyzing, and interpreting experiments and investigations. • Experience with modern software development tools and practices (Git, pull requests) • Experience analyzing model performance with relevant metrics and optimizing. • Familiarity with AI agent frameworks • Ability to drive a project and work both independently and in a team • Smart, motivated, can do attitude, and seeks to make a difference • Excellent English communication and More ❯

find like-minded people driving change at Howden. Purpose of the Role: We are seeking an experienced and motivated AIOps Engineer to join our growing and dynamic Data Science & AI platform team. The AIOps Engineer will play a key technical role in building and advancing our Data Science and AI technology stack, leveraging modern day cloud services, and driving CI … a strong focus on containerisation, analytics, virtual networking and serverless computing. Key Responsibilities/Accountabilities: As anAIOps Engineer, you will be responsible for shaping our technical roadmaps across our AI/ML toolset, defining our technical governance and standards and will play an important role in wider collaboration with technology platforms across the business. You will work alongside a technical … team of engineers to support the delivery of AI/ML related projects and deliverables, enabling us support customer requirements, building future proofed AI/ML solutions and supporting the business towards achieving its strategic goals and objectives. Collaborate with cross functional teams across the business, with a key focus on alignment to enterprise architecture for our Data Science & AI More ❯

About The Job We're seeking a Senior Business Analysis Manager to join our APB (Amazon Private Brand) Sourcing team. In this role, you'll combine business analysis with AI capabilities to drive data-driven decisions and digital transformation initiatives. You'll partner with stakeholders across sourcing and other teams to optimize vendor relationships, enhance reporting capabilities, and lead AI … be leading our profitability initiative that ties to our VP goal from strategy setting to goal delivery, including annual vendor negotiation and tariff impact assessment etc., meanwhile participant in AI integration projects related to profitability and cost management domain. Key Job Responsibilities Develop and maintain reports and dashboards using SQL, Python, and BI tools Drive data analysis to support strategic … sourcing decisions and vendor negotiations Identify opportunities for process automation and efficiency improvements Lead AI transformation initiatives, including: - Create automated reporting feeds and predictive analytics models - Develop AI-powered interactive analysis tools - Configure proactive notification systems - Design and implement business scenario based workflow Partner with sourcing/technical teams to integrate AI solutions into existing sourcing workflow Basic Qualifications Bachelor More ❯

will solve critical customer problems in a fast-paced environment Executes with a boundaryless mindset and contributes to solutions outside of their primary area of ownership. Knowledge of building AI native applications Guides the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies. Understands evaluation tools to validate and measure the … accuracy of solutions. High-level understanding of how AI models work, the different types of AI models that exist, and their pros and cons . Understanding of the latest tools and technologies that apply AI to real-world applications. Creates robust, scalable, and secure technical designs , effectively implementing them to balance short-term and long-term objectives, ensuring high availability … years of experience developing systems/software for large business environments. 7+ years of experience designing complex distributed systems, management products, or business applications. Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at More ❯

our dynamic team in London . You will play a critical role in developing and optimizing backend systems, working with modern data technologies, and contributing to high-performance and AI-enabled applications. Key Responsibilities: Develop robust, scalable applications using Python , APIs, and async processing techniques Collaborate with cross-functional teams on system architecture, design, and implementation Work with Databricks or … deployment Implement and maintain containerized solutions using Docker and CI/CD pipelines Apply MLOps practices using tools like MLFlow , Git-based versioning, and environment tracking Build and integrate AI and intelligent automation frameworks Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience: 2+ years of Python development experience with strong knowledge of APIs, data structures, and asynchronous … automation pipelines Familiarity with MLOps tooling such as MLFlow, Git version control, and environment management Desirable Skills & Interests: Experience with frameworks like LangChain , Langflow , or similar tools for building AI agents Understanding of Large Language Models (LLMs) and intelligent automation workflows Experience building high-availability, scalable systems using microservices or event-driven architecture Knowledge of orchestration tools like Apache Airflow 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 ❯

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world's biggest brands. With more than 25 years of industry knowledge, F8F's technology powers many of the AI interactions we experience every day. Our solutions and … expertise empower our clients to achieve their AI goals and make a significant impact in their industry. We are seeking a highly skilled Senior Full-Stack Software Engineer to join our team and contribute to the development of innovative data labeling technology. The ideal candidate is a versatile professional with a deep understanding of back-end and front-end development More ❯

and Windows to design and build features that enable the most efficient and seamless way to update their components, bringing to market the latest in innovation including ML/AI models, applications, and security updates. As we look toward a new future with Agentic AI and AI Orchestration, you will contribute new ideas and thinking as we move forward. You … Java, JavaScript, or Python OR equivalent experience. Preferred Qualifications: Experience with design, coding, rapid prototyping, debugging, and problem solving. Recent experience with products and services leveraging the latest generative AI models and agents. Experience in cross-group collaboration and communication. Background in operating system fundamentals and deployment technology. Strong coding, debugging, and problem-solving skills. Focus on meeting customer needs. More ❯

opportunities for Quantitative Research to leverage data and analytics to enhance the Sales business. Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques. Architect and manage the evolution of the code base, ensuring data quality and integrity, and collaborate with other teams to maximize scale and leverage across the organization. … of post-graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex, large-scale, high-dimensionality data from varying sources. Autonomy … excellent communication, and strong motivation. Preferred Qualifications, Capabilities, and Skills: 3+ years of experience working in a quantitative group applying AI/ML and data science to investment and/or trading businesses. Experience working with Equity products and investment strategies. #J-18808-Ljbffr More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer) Our client … The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools … your CV to Nathan Warner at Noir Consulting. (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data 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, you … 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 ❯

Join to apply for the Engineering Head role at Elixirr Join to apply for the Engineering Head role at Elixirr Get AI-powered advice on this job and more exclusive features. About Elixirr Elixirr International plc is a global consulting firm with a bold ambition: to become the best consulting firm in the world. About Elixirr Elixirr International plc is … South Africa, and a client base spanning industries and geographies, weve welcomed seven boutique firms into the Group. This has broadened our capabilities across creative, digital marketing, data and AI, procurement, transformation, and more. Our vision of becoming a services unicorn is firmly within reach and this is just the beginning. Were looking for exceptional talent to join us on … us and continues to be a hub of innovation and growth. Job Summary We are seeking a visionary Head of Engineering to lead the development of our enterprise-grade AI solutions. This individual will serve as the product leader, driving the technical strategy, architecture, and execution of our AI solutions, which integrate agentic workflows to dynamically populate and manage the More ❯

We believe in a best-of-breed strategy, emphasizing integration and utilization of business data for value creation. You will be a key resource in applying effective integrations, analytics, AI, and Machine Learning to predict optimal outcomes and provide intelligent insights to our customers. VesselMan offers a supportive and engaging work environment, prioritizing continuous learning and growth. This is a … unique opportunity to work closely with experienced developers and architects skilled in backend development utilizing MS Azure, Amazon AWS, modern integrations, and data analytics/AI/ML. Responsibilities include: Utilize data analytics and ML/AI tools to leverage data within the solution. Integrate AI into applications, deploying models into web or mobile apps using APIs or embedded solutions. … Develop server-side applications and integrations using technologies like Node.js, Python, or Java, incorporating analytics, big data, and AI/ML modules for insights and guidance. Create and integrate APIs for communication between front-end and back-end systems. Collaborate with UI/UX designers to ensure technical feasibility and implementation of design concepts. Conduct code reviews, testing, debugging, 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 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 ❯

that help people, businesses and governments realize their greatest potential. Title and Summary Vice President, Data Scientist Overview The Security Solutions Data Science team's purpose is to use AI to secure the legitimate movement of money for everyone. The models generated are production ready and created to back specific products in Mastercard's authentication, authorization networks and A2A payment … In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized. You will be joining a team of Data Scientists and engineers working on innovative AI and ML models solving real world business problems. Senior leaders in our team epitomize enterprising autonomy, endless curiosity and excellence through improvisation. We are pursuing a highly motivated individual with … strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model build and evaluation processes. Role As a VP of Data Scientist, you will: Be the most senior practitioner and lead multiple teams of data scientists delivering production quality models that run in real time to screen transaction networks. oWork closely with 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 youll do: Lead a team of backend Software Engineers to evolve Snaps 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 mentor a … 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 ❯

Engineers. Translate experimental ML models into scalable, production-ready applications using cutting-edge AWS services. The Role Core Responsibilities: Technical Liaison - Bridge Data Science and DevOps teams, ensuring effective AI/ML solution deployment Hands-On Support - Assist data scientists with DevOps issues, Docker containers, and MLOps tooling Model Deployment - Deploy Hugging Face Transformers and ML models as secure microservices … Create documentation and mentor teams on MLOps best practices Full ML Lifecycle - Manage training, validation, versioning, deployment, monitoring, and governance API Development - Develop secure APIs using Apigee for enterprise AI functionality access Automation - Build CI/CD pipelines using Jenkins and Maven for ML project integration Essential Requirements Minimum Qualifications: Degree in Computer Science, Data Science, Mathematics, Physics, or equivalent … experience End-to-end ML delivery - From experimentation to production deployment Data science fundamentals - Data cleaning, feature engineering, model evaluation Critical Technical Skills: Production ML deployment - Demonstrated experience maintaining AI/ML models in production AWS ML services - SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, Redshift Hugging Face deployment - NLP, vision, and generative models in AWS environments API development - Flask More ❯

and deliver the data capabilities of tomorrow. MAIN PURPOSE OF THE ROLE: We're looking for a Senior Data Scientist with hands-on experience in Machine Learning and Generative AI, and a passion for solving real-world business problems using advanced data techniques This is a fantastic opportunity to join a growing team, work on high-impact projects, and contribute … to innovative AI and data science solutions across a wide range of industries. Role Responsibilities Design and implement data science and GenAI models to solve client challenges Collaborate with client stakeholders to understand business requirements and shape technical approaches Contribute to the delivery of scalable, production-ready solutions alongside data engineers and MLOps teams Apply a range of techniques including … vector databases, prompt engineering, and fine-tuning Participate in client workshops and discovery sessions to gather requirements and present findings Stay up to date with the latest trends in AI and data science, and bring innovative thinking to projects Help foster a collaborative and knowledge-sharing culture across the data science team Represent Dufrain at industry events, conferences, and forums More ❯