751 to 775 of 4,906 Artificial Intelligence Jobs in England

and version control systems such as Git. Preferred Skills but not essential to have Experience with front-end development (React, Angular, or Vue.js). Knowledge of machine learning or AI-powered analytics. Familiarity with IoT and energy monitoring systems is a plus. Understanding of energy management systems and sustainability practices. Benefits Competitive salary Plus personal Bonus and benefits package. Opportunity More ❯

experience * Experience with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like RabbitMQ, Kafka. * Understanding of GraphQL, gRPC, or WebSockets. * Previous experience in architecting data-intensive or AI/ML-based systems. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you More ❯

Third-Party security patching Experience Office 365 Management Experience supporting servers and client application administration Strong critical thinking and problem-solving skills We Would Love to See: Experience with AI tools such as Co-pilot, ChatGPT and Gemini. Project leadership experience Working experience in an Agile environment Experience with Log aggregation toolsets (e.g. SPLUNK, Grafana) Knowledge of Python Bloomberg is More ❯

Senior Full-Stack Engineer to join us as part of our team. About the role We seek a talented Full-Stack Developer to join our teamб, building cutting-edge AI-powered solutions for the real estate industry. You will work on our platform that integrates directly with real estate CRMs to automate leasing inquiries using LLMs and web automation technologies. More ❯

languages, frameworks, and development tools based on business needs. Guide the selection of database technologies (SQL, NoSQL, time-series databases, etc.). Help teams adopt emerging technologies such as AI/ML when relevant. 9. Stakeholder Communication & Knowledge Transfer Provide technical workshops and training sessions for development teams. Act as a bridge between technical and non-technical stakeholders, translating complex More ❯

Preferred (but not required) to have: Hands on experience with Python Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build connections, relationships and trust with our customers that last. We love More ❯

real-time computing Strong problem-solving skills and ability to work effectively in challenging field conditions Familiarity with maritime operations and autonomous systems is a plus Experience with robotics, AI, or machine learning applications is a plus Knowledge of networking protocols and communication systems used in autonomous vessels Understanding of government requirements and standards for autonomous systems Experience with sensor More ❯

that voice to executive level decision makers - Experience of bringing along support teams to achieve organizational goals - Experience with ML PREFERRED QUALIFICATIONS - MBA - Experience using advanced Machine Learning and AI tools Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. More ❯

Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards More ❯

Server and API's, plus will be an advocate of software design patterns, CI/CD and DevOps in an Agile environment.Experience or personal projects exploring Machine Learning and AI would fit well. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including More ❯

Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards More ❯

Data Engineering, and Product to align metric definitions/dimensions and data sources across the business. Use causal inference methods to understand how macroeconomic events impact the business. Leverage AI to generate insights and improve business and team efficiency. Lead Airwallex's forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build More ❯

with our business units. Our Technology teams offer you an environment full of exciting challenges - whether it's supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our IT department, with around 300 employees, works mostly in an agile manner using a Scrumban approach and covers areas such as Cloud More ❯

for pipeline development and transformation - Familiarity with cloud platforms such as AWS, Azure or GCP - Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran) Desirable: - Experience deploying AI/ML models in production environments - Familiarity with AWS data services (e.g., S3, Glue, Kinesis, Athena) - Exposure to real-time data streaming and analytics paradigms #LI-RJ1 Together, as owners More ❯

telephony platforms (e.g. Genesys, Twilio, Avaya, Nuance) Infrastructure as Code (Terraform, Ansible, Puppet) Data engineering (ETL, SQL, Power BI, Tableau) Secure-by-design principles and architectural patterns Interest in AI, IoT, or service mesh (e.g. Istio) NodeJS A passion for delivering business value through sound engineering methods and principles Experience of software quality tools such as SonarQube If you're More ❯

possible in technology.ZILO is the UK-based FinTech specialising in global asset and wealth management software,designed to scale and transform businesses of all types using our own developed AI Technology. Our mission is to digitalise the future of the global asset management industry. We are a team of experts with decades of combined experience at leading firms globally, who More ❯

analysts are embedded effectively within product squads, are influencing roadmap decisions, and are building the right frameworks to define success, measure progress, and evaluate performance-including for ML/AI-powered features. As a key member of the leadership group within your pillar, you'll collaborate with peers in Product, Engineering, and Commercial to define the long-term vision and More ❯

successful collaboration with qualitative researchers (e.g., ethnographers, human factors specialists) and research scientists and/or data scientists Experience mentoring other researchers and driving team excellence Experience with generative AI, NLP, and its applications in research Domain expertise in streaming/entertainment and/or commerce Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯

including deal services, business transformation, risk and governance, finance function support, restructuring, and forensic & investigation services. The team provides comprehensive analytical support, including advanced data analytics, visualization, automation, and artificial intelligence. They work closely with consulting teams to translate business challenges into analytical solutions. The CDT members possess diverse skills in data science, business analysis, data analytics, and programming More ❯

of analysis methodologies essential. Previous experience with report building tools is essential, (experience with SAP Business Objects advantageous). Awareness of ETL processes and database automation. Experience working with AI tools to generate automated insights advantageous Confident in Microsoft Excel and full Microsoft Suite. (Or cloud based equivalents) From humble beginnings to disruptive innovations in the retail industry, find out More ❯

of analysis methodologies essential. Previous experience with report building tools is essential, (experience with SAP Business Objects advantageous). Awareness of ETL processes and database automation. Experience working with AI tools to generate automated insights advantageous Confident in Microsoft Excel and full Microsoft Suite. (Or cloud based equivalents) Benefits In addition to competitive salaries, we also offer the below core More ❯

quality, and documentation, in alignment with Microsoft Purview standards Collaborate with other Insight and Technology teams to expand data capabilities, ensure consistency, and promote innovation (including exploration of Generative AI and automation) Champion knowledge sharing and ongoing upskilling within the team, introducing new tools, methods, and processes where appropriate Essential Skills and Experience Proven experience (3–5 years minimum) in More ❯

quality, and documentation, in alignment with Microsoft Purview standards Collaborate with other Insight and Technology teams to expand data capabilities, ensure consistency, and promote innovation (including exploration of Generative AI and automation) Champion knowledge sharing and ongoing upskilling within the team, introducing new tools, methods, and processes where appropriate Essential Skills and Experience Proven experience (3–5 years minimum) in More ❯

understand customers' business challenges and come up with creative solutions. Hands-on experience building or managing products powered by machine learning or AI. Experience designing or interpreting evaluations for AI/ML systems, including A/B tests, offline metrics (e.g. precision/recall), or human-in-the-loop feedback methods. Ability to clearly articulate product requirements, provide "the big More ❯

Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A growth mindset and eagerness to work in a fast-paced, mission-driven environment Good understanding of data lake architecture, medallion architecture, and data warehouse More ❯