76 to 100 of 18,689 AI Jobs in the UK

scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. Apply AI tools and techniques to improve Solution Architecture practices including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation. Ensure full conformance with firm-wide … benefits and importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums. Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive ...

partnering directly with Accenture to hire for this role. Data Decisioning Manager Manager (CL7) London, Manchester or other UK locations Accenture Song - Data & AI We Are Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design … decision is real, and the advantage of getting it right is significant. Rules-based systems and legacy platforms are being challenged by purpose-built, AI-driven solutions. Whilst the outcome of this challenge isn't immediately clear we need someone who can navigate the complex set of options, define, design ...

producing bug fixes and new releases Be self-motivated with the ability to prioritise engineering decisions Contribute to modernising DevOps practices through automation and AI-assisted engineering capabilities Design, implement, and lead CI/CD pipelines (GitLab, Jenkins) Automate infrastructure provisioning and configuration management (Ansible, Terraform) Develop and maintain containerised … issues across development, testing, and production environments Mentor and guide team members to promote continuous improvement Drive POCs and onboarding of new tools, including AI-assisted development and intelligent automation Explore and implement AI-assisted automation to enhance DevOps workflows and developer productivity. Support development of intelligent automation tools/ ...

Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. … teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. Why Join Us? If you are looking ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real-world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real-world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

maintaining innovative internal applications, integrations and automations that empower our teams to work smarter, streamline processes, and unlock the full potential of data and AI across the business. Why Menzies? People First : Our work-life balance isn’t just talk. From agile working to generous leave, we create space … opportunities for improvement and deliver practical technology solutions that have a real impact on the way we work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater ...

maintaining innovative internal applications, integrations and automations that empower our teams to work smarter, streamline processes, and unlock the full potential of data and AI across the business. Why Menzies? At Menzies, our culture is our cornerstone . We blend technical excellence with genuine care for our people and clients. … opportunities for improvement and deliver practical technology solutions that have a real impact on the way we work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater ...

advanced models for asset allocation, risk, macro and scenario analysis, including data preparation, testing, calibration, optimisation, and maintenance as models and data evolve. Develop AI‐assisted research and modelling workflows, including data engineering, model design, evaluation, and monitoring. Translate theoretical research and investment logic into efficient, testable, and maintainable code. … partnering closely with Founders. Strong analytical judgement, communication skills, and attention to detail. Experience with designing and refining large scale dynamic models. Experience applying AI or ML methods to real‐world, noisy financial or economic data. Strong awareness of the investment industry landscape, financial instruments, and market/economic events ...

lead the development and operation of Menzies' GCP data warehouse, creating a trusted, secure and accessible data foundation that enables insightful reporting, automation and AI, and supports smarter decision-making across the firm. Why Menzies? At Menzies, our culture is our cornerstone . We blend technical excellence with genuine care … Team. Enable data to deliver real business value by working with developers and analysts to make warehouse outputs accessible through Power BI, automation workflows, AI agents and internal applications. Evaluate technology and integration options, making pragmatic build‐versus‐buy recommendations that balance business value, security, scalability, supportability and cost. Champion ...

lead the development and operation of Menzies’ GCP data warehouse, creating a trusted, secure and accessible data foundation that enables insightful reporting, automation and AI, and supports smarter decision-making across the firm. Why Menzies? At Menzies, our culture is our cornerstone . We blend technical excellence with genuine care … Team. Enable data to deliver real business value by working with developers and analysts to make warehouse outputs accessible through Power BI, automation workflows, AI agents and internal applications. Evaluate technology and integration options , making pragmatic build-versus-buy recommendations that balance business value, security, scalability, supportability and cost. Champion ...

performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions. You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated insights into compelling customer experiences. This is a great opportunity ...

performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions. You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated insights into compelling customer experiences. This is a great opportunity ...

Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. You will support complex client engagements where data ...

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to ...

Artificial Intelligence & Automation Data Engineer (12 Month Fixed-Term Contract) Location: United Kingdom Ref: REF4155A Job Function: Information Technology Company Description Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. … some great career opportunities for you. There's never been a better time to join Smiths. Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI ...

hackajob is partnering directly with BlackRock to hire for this role. About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefine what's possible in asset management. Today, AI is reshaping every aspect of our industry, from investments … physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects of the AI/data science and agent development process. Track record of leading complex, ambiguous technical initiatives ...

Applied AI/ML Lead Engineer in our Applied AI ML - Python & Agentic AI team, you will design, build, and productionize Generative AI and Agentic AI solutions. The ideal candidate brings a balanced mix of modern AI/ML delivery (LLMs/SLMs, RAG, tool-using agents, evaluation, MLOps … Java and/or Python, APIs/microservices, testing, CI/CD, observability, reliability) on AWS and cloud-native platforms. This role values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol ...

AI evaluation project as an AI Coder/AI Response Evaluator. This is a unique opportunity to contribute to the development of next-generation Artificial Intelligence systems by applying your professional expertise to assess, validate, and improve AI-generated responses within your area of specialization. This assignment is entirely remote … onboarding and qualification activities, including an initial paid assessment. Qualifications Extensive Data Science experience in analytics, machine learning, statistical modeling, data engineering, business intelligence, artificial intelligence, or related applied disciplines. Undergraduate study does not count toward the minimum experience requirement. Working proficiency in Python and/or SQL, with ...

team in cross‐functional forums and communicate technical concepts clearly Required Qualifications, Capabilities, and Skills BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Leadership experience in AI/ML, including leading teams and projects from conception to production Strong foundation … ability to present technical concepts to senior business stakeholders and non‐technical audiences Preferred Qualifications, Capabilities, and Skills PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Experience leading AI/ML initiatives in a regulated industry Join ...

looking for an AI Consultant (Artificial Intelligence & Machine Learning) - Financial Services Expertise to join our team in London, UK, in a hybrid working mode. As one of the world's leading digital transformation service providers, we are expanding our Data and AI Practice across Europe to meet growing client demand … advanced AI and data science solutions. The ideal candidate will have a deep understanding of artificial intelligence, machine learning and analytics, combined with IT consulting experience and domain expertise in financial services. In this role, you will partner with clients to solve complex business challenges by designing, developing and deploying ...

AI at our foundation, cyber risk at our core. We don't just use AI, we shape it. Built on AI from day one. Artificial intelligence has been part of our strategy since the beginning, blended with deep cybersecurity and insurance expertise and backed by rigorous testing. Trusted by more … lower their potential likelihood and/or impact of events, and Technology adoption and trends including the adoption, reliance on and governance of artificial intelligence ... translating these factors into the assumptions and scenarios that drive risk models – especially where historical data is limited Own the scenario and "event family ...

Senior AI Engineer Location: London (Hybrid - 1 day per week in the office) Salary: £65,000 - £75,000 + Excellent Benefits Job Type: Permanent Please note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship is not available for this position. The Opportunity An exciting opportunity … someone with a strong software engineering background and commercial experience building AI-powered systems. You'll ideally have: Degree in Computer Science, Software Engineering, Artificial Intelligence or a related discipline. 5+ years' commercial experience in Backend Engineering, Data Engineering or Machine Learning Engineering. Expert-level Python development skills. Commercial experience ...

Great AI and machine learning capability only creates value once it runs reliably in the real world. This role exists to bridge that final, critical gap—taking the AI/ML solutions developed within our Data Science team from promising prototypes to robust, scalable production systems that our teams … support. Champion a culture of disciplined engineering, continuous improvement, and operational excellence within Data Science. Skills And Experience Education A degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline—or equivalent hands‐on experience. An MSc or PhD is welcome ...

long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. … Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force ...