876 to 900 of 22,837 AI Jobs in England

Lead migration of mature C/C++ codebases to modern languages, runtimes, and UI/UX frameworks while preserving scientific accuracy and performance. Leverage AI-assisted development — Actively adopt AI-powered tools (e.g., Copilot, code-generation, automated testing assistants) to accelerate delivery and improve code quality. Collaborate on architecture — Partner … progress in a timely, structured manner to technical and non-technical stakeholders. Stay current — Continuously evaluate and adopt emerging languages, frameworks, cloud services, and AI/ML tooling relevant to the product. Required Qualifications 5+ years of professional software engineering building and shipping complex, production-grade applications — not solely scripting ...

Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real-time/streaming, ML/AI, data governance, migrations)Ability to contribute to architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysisTrack record of driving platform adoption … Architect)Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery), understanding the landscape you'll position againstBackground in a data/AI company or cloud providerAbout DatabricksDatabricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian ...

looking for Public Markets is transforming how technology, data and AI create investment advantage. We are building an AI-native investment platform that combines investor judgement with modern engineering, proprietary data and increasingly agentic capability. We are looking for a talented software engineer who is excited by solving complex problems … This is not a conventional software engineering role. It requires curiosity, strong technical foundations and a willingness to embrace new ways of working, including AI-assisted development, cloud-native technologies and product-oriented delivery. You will work closely with portfolio managers, analysts, researchers, traders, Product, Data and Operations teams, helping ...

market insight needed to shape and prioritise roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor … major public cloud environments (AWS, Azure, or GCP).Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. ...

Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real-time/streaming, ML/AI, data governance, migrations) Ability to contribute to architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysis Track record of driving platform … Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery), understanding the landscape you'll position against Background in a data/AI company or cloud provider About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block ...

data quality management activities. Contribute to the adoption and utilisation of strategic technology platforms, including Snowflake, AWS-based data services, Python, SQL, and AI-enabled productivity and analytical tools. Prepare materials and presentations for governance forums, senior management, and regulatory engagements. Analyse large datasets and identify opportunities to improve reporting … Familiarity with Agile methodologies and tools such as JIRA and Confluence. Experience using SQL, Python, Snowflake, or cloud-based data platforms. Interest in applying AI and automation to improve reporting, analytics, and business processes. Experience with Tableau, Alteryx, or similar analytical tools. #J-18808-Ljbffr ...

also have: Experience with Databricks, PySpark, Azure or similar cloud-based data environments Experience within operational, retail, logistics or customer-focused businesses Exposure to AI solutions or emerging machine learning technologies Most importantly, you'll be naturally curious, tenacious when tackling difficult problems and motivated by finding better ways … partner with stakeholders across Operations to identify opportunities where data science can create measurable business value. Your responsibilities will include: Applying machine learning, AI and advanced analytics techniques to operational challenges Developing predictive models, forecasting solutions and analytical tools using Python and SQL Investigating business performance to uncover key drivers ...

search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-of-class AI-powered products. Communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every … look at what exists and find ways to make it better. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. ...

London – Data Scientist & Marketing Effectiveness (MMM) Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability. With … deliver tailor‐made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI ...

work across the full stack of modern data engineering ranging from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling and you'll help shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers … TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer serving Tableau and Looker Studio, Snowplow-based event attribution infrastructure, and agentic AI tooling for Post-Campaign Analysis. You'll have the opportunity to work on all of it. Critically, this role operates in a highly cross-functional ...

about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).The ideal candidate will have a strong understanding of modern AI/ML frameworks, large language models (LLMs), foundation models, and GenAI application architectures. While hands-on experience building and deploying AI/ML solutions … highly preferred, we also value candidates who bring strategic expertise in AI/ML solution design, model selection, prompt engineering, and responsible AI practices. You should be comfortable discussing topics ranging from model fine-tuning and RAG (Retrieval-Augmented Generation) architectures to AI governance, cost optimization for AI workloads ...

solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting We’re looking for a full-stack Python engineer to join our Central Operations team. Central Ops sits across … customer base grows rapidly, our role is to help ops keep pace without relying solely on headcount growth. We make intelligent, pragmatic use of AI where it adds real value, working closely with Product, Data Science and Analytics to deploy solutions that genuinely support our ops agents. You’ll have ...

Kubernetes security. Experience with bug bounty, penetration testing or security testing programmes. Experience with Splunk or similar logging/SIEM platforms. Exposure to AI security, such as LLM-enabled applications, AI-assisted development workflows or prompt/data leakage risks. Experience building dashboards, metrics or reports to support vulnerability management. … team will be happy to help. Further informationAt the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential ...

Security leadership: ability to mentor other security engineers and influence engineers across the wider organisation. Depending on team structure, this may include line management. AI security awareness: experience of leveraging AI to improve and scale appsec and cloud sec controls would be useful, but is not essential. Key ResponsibilitiesImprove application … application security, cloud security or vulnerability management practices in a real engineering environment. Familiarity with Agile or Scrum ways of working. DesirableExperience with leveraging AI for AppSec and CloudSec. AWS Certified Security – Speciality or equivalent practical AWS security experience. Terraform or CloudFormation expertise. Incident-management or incident-response experience. Experience ...

currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. … data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience ...

teams to implement reliable, scalable and secure solutions while continually identifying opportunities to improve efficiency, automation and user experience. You will also utilise modern AI-assisted engineering tools, including Kiro, GitLab Duo and Microsoft Copilot, to accelerate delivery, automate repetitive tasks, improve code quality and documentation, and enhance operational effectiveness. … innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture,leveraging AI-driven solutions to enhance our products, processes and decision-making. We pride ourselves on cultivating an inspiring working environment with our employees at the heart ...

define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing … overseen the integration of emerging new technology platforms including cloud platforms, new enterprise applications, big data platforms and tools for advanced analytics including AI/machine learning/data science that drive business value A growth mindset AI curious and ready to embrace opportunities Desirable Experience with enterprise architecture tools ...

component, integration, end-to-end & performance testsSupport the products you've built through their entire life cycle, including production and incident managementLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities and skillsFormal training or certification on Java programming concepts ...

team, supporting both BA Cityflyer and BA Euroflyer. The team plays a critical role in driving operational and commercial performance by delivering analytics, reporting, AI solutions and actionable insight that inform business decisions. By turning complex data into clear recommendations, the team helps shape strategy, improve efficiency and enhance customer … drivers and opportunities for improvement.Deliver insight, recommendations and decision support to operational and commercial stakeholders.Build, maintain and continuously enhance reports, dashboards, analytical models and AI-enabled solutions.Produce forecasts, targets and performance analysis to support business planning and decision-making.Lead ad-hoc analytical investigations and business-critical projects.Present complex findings ...

Analytics SpecialistDo you enjoy transforming data into actionable insights that improve business processes and audit effectiveness? Are you passionate about leveraging analytics, automation, and AI to drive innovation and operational excellence? Join our team! Baker Hughes is a leading energy technology company delivering solutions across the energy value chain. With … will play a critical role in executing our Internal Audit Technology & Innovation roadmap. You will support the development of analytics, automation, dashboards, and AI-enabled solutions that strengthen audit execution, improve efficiency, and provide deeper business insights across key operational and financial processes. As an Audit Analytics Specialist, you will ...

toward progressively autonomous production. The role will drive operational excellence through the design, deployment and management of flexible automation, robotics, digital manufacturing systems and AI-enabled, data-driven process improvements. Delivering scalable solutions that reduce waste, improve process capability, reduce manual touch-time and increase labour productivity across all production … changeover. Deliver automation CAPEX projects to scope, time and budget, managing system integrators and suppliers and leading build-versus-buy decisions. Digital Manufacturing, Data & AI Lead and support the digital manufacturing initiatives, including MES, machine connectivity, data infrastructure and integration with ERP, planning and scheduling systems. Identify and deploy AI ...

millions of users search for, discover, and organize their complex travel itineraries. This is a high-impact role bridging the gap between cutting-edge AI research and production-grade engineering, directly influencing multi-objective business outcomes like user engagement, booking conversion, etc. You will tackle complex, ambiguous problems … intersection of deep multi-task ranking, sequential user modeling, and graph-based travel recommendations. If you are passionate about building state-of-the‐art AI systems and mentoring a high‐performing team of scientists, this role is for you What You’ll Do Technical Leadership & Execution: Drive the technical roadmap ...

work – Build applications used by analysts worldwide with direct visibility to your contributions• Modern technology stack – Work with Python, React, AWS, Kubernetes, and emerging AI technologies• Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks• Flexible environment – Work from our Manchester office with hybrid … cloud platform• Effective communication and teamwork – Ability to collaborate with cross-functional teams and communicate technical concepts clearlyWhat Would Make You Stand Out:• AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications• Data Technologies – Experience with Kafka, PySpark ...

team, supporting both BA Cityflyer and BA Euroflyer. The team plays a critical role in driving operational and commercial performance by delivering analytics, reporting, AI solutions and actionable insight that inform business decisions. By turning complex data into clear recommendations, the team helps shape strategy, improve efficiency and enhance customer … opportunities for improvement. Deliver insight, recommendations and decision support to operational and commercial stakeholders. Build, maintain and continuously enhance reports, dashboards, analytical models and AI-enabled solutions. Produce forecasts, targets and performance analysis to support business planning and decision-making. Lead ad-hoc analytical investigations and business-critical projects. Present ...

resource for the squad and for portfolio leadership, applying advanced knowledge to questions that span user behavior, product capability, adoption strategy, and the evolving AI landscape. You will make most decisions in your area independently, bring structure and insight to complex problems, and provide real leverage to the Product Owner … senior leaders you support. The collaboration landscape at BCG is shifting significantly, with a move toward a more integrated digital ecosystem, new AI capabilities coming online continuously, and an ongoing need to connect product investment to measurable business outcomes. The person in this role will be a meaningful part ...