126 to 150 of 5,811 AI Jobs in the UK

Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science – traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine‐tuning … EMEA for customer visits. Nice to Have: Databricks or other relevant Cloud/Data certifications. About Databricks Databricks is the data and AI company. More than 10,000 organisations worldwide – including Comcast, Condé Nast, Grammarly, and over 50 % of the Fortune 500 – rely on the Databricks Data Intelligence Platform ...

make a meaningful impact in a dynamic, global environment? As an ICB Data Control Manager, you will help shape the future of data, privacy, Artificial Intelligence/Machine Learning (AI/ML) governance, analytics management and operational risk at JPMorganChase. You’ll join a collaborative, agile team where your expertise … skills Strong audit, internal control, or operational risk experience. Expertise in data risk management, data privacy, analytics, and IT. Subject‐matter expertise in AI and model risk governance, including Large Language Model (LLM) and Generative AI risk considerations. Financial services experience, ideally within retail or consumer banking or corporate ...

outcomes for marginalised groups. Develop the data science workforce, recruiting expert talent, upskilling existing analysts, and managing team appraisals and career development. About us AI Centre for Value-Based Healthcare The AI, Data & Digital Innovation directorate is made … data and technology experts - based in GSTT but working closely as a team with KCH and KCL. The team forms part of the Artificial Intelligence Centre for Value-Based Healthcare - a consortium of NHS, academic, and industry partners from across the UK. This consortium offers expert professional technical delivery across ...

Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine‐tuning ...

Hybrid (Brentford, 1 Day per Week) I'm working with a forward-thinking organisation that is making significant investment in its data, analytics, AI, and automation capabilities. As part of a major digital transformation programme, they are looking to hire an experienced Data Engineer to play a key role … data as a strategic asset and is committed to building a modern, scalable data platform that will support advanced analytics, business intelligence, and future AI initiatives. The successful candidate will work closely with technical and business stakeholders, helping to design, build, and optimise data solutions that drive decision-making across ...

meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping … Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong communication skills for both technical and non‐technical audiences Experience applying AI‐assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations ...

events/SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands‐on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading … Bash THE ROLE: You’ll own the technical vision and delivery of our core platforms: Build world‐class platforms Architect cloud‐native data and AI systems that support analytics, ML workloads, and real‐time operations Create API‐first integration layers for internal teams and external partners Implement MLOps best practices ...

real‐time LLM‐powered reporting product, where latency, uptime, model performance and cost‐efficient serving will all be critical. Alongside these newer generative AI projects, you will also take responsibility for an established estate of traditional machine learning models already running in production. This is not a Data Scientist role. … with SQL, PySpark, Databricks or AWS Glue Exposure to Scikit‐learn, PyTorch, LightGBM or similar libraries An understanding of LLMs, multimodal models or generative AI applications Deep commercial LLM experience is not essential. The hiring manager is more interested in strong Machine Learning Engineers who understand production systems, infrastructure ...

Functional Communication : Document complex technical architectures clearly and articulate system requirements, post-mortems, and engineering strategies effectively to both technical and non-technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self-service infrastructure tools, deployment templates … place for you. Skills, Experience & Personal Attributes Platform Experience : Demonstrable DevOps experience, with a proven focus on building software engineering platforms or AI/ML infrastructure. IaC Mastery : The successful candidate must demonstrate advanced proficiency in Infrastructure as Code (IaC), with a track record of building and maintaining complex cloud ...

derivatives (e.g., uncleared margin rules, clearing mandates) and ensure compliance is embedded in product features and delivery models. Integrate new technologies like automation, AI, and distributed ledger technology (DLT) where appropriate to enhance operational workflows for complex instruments. Collaboration and Leadership Work closely with cross-functional teams, including engineering, client … Education & Preferred Qualifications Experience with data analytics tools (e.g., SQL, Tableau, Python) to derive insights and support decision-making. Familiarity with emerging technologies like AI, machine learning, and DLT within financial services. Prior experience working within a financial services technology platform or a similar business unit. CFA, MBA, or Masters ...

About our team We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering—from predictive models to enterprise GenAI apps to automation that … working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations. In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation ...

translating complex analysis into clear business recommendations Experience creating dashboards and data visualisations that effectively communicate insights Understanding of predictive analytics, machine learning and AI applications (desirable) Experience using AI-enabled tools and workflows to enhance analytics, automation and insight generation (e.g. Copilot, Codex, Claude) (desirable) Benefits & Initiatives Generous annual ...

similar), SQL Server SSAS Tabular (DAX), Dimensional Modelling, Data Warehousing. Ecosystem & Management: Azure DevOps, SQL MI/DB, Active Batch, APIs, Event Hub, Kafka, AI/ML concepts. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

enjoy working on advanced machine learning models and cutting-edge analytics solutions?***About our team:**We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success … comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation ...

similar A Level, grade A - C (Essential) About the Employer CRIMSON LIMITED At Crimson, we help public-serving organisations use data, digital and AI to deliver better outcomes for people. Working here means tackling meaningful problems, delivering work that stands up to scrutiny, and doing it with people who care ...

/CD, application resiliency, and security best practices Experience developing, debugging, and maintaining code using modern programming and database querying languages Knowledge of cloud, artificial intelligence, machine learning, and mobile technologies Experience maintaining and troubleshooting software in Linux environments, with familiarity in containers and cloud architectures/services Strong interpersonal ...

turning experimental code into scalable assets and ensuring our researchers have the compute and tooling required to compete with the world’s top AI labs. Engineering Leadership: Manage, mentor, and grow a team of Research Engineers. You will foster a culture of engineering rigor (code quality, testing, CI/… 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 ...

private markets. While legacy systems create risk, inefficiency, and data fragmentation, Clearwater’s single-instance, multi-tenant architecture delivers real-time data and AI-driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics ...

energy complexity into seamless coordination. We help energy companies overcome today's challenges while accelerating the shift to a clean, electrified future. Leveraging Data, AI, and real-time decision-making we turn energy complexity into growth opportunities for our partners. By combining predictive algorithms with human‐centred design, Kaluza makes ...

Quilter plc is hiring a Senior AI/ML Scientist to lead end-to-end development and deployment of advanced ML models, including GenAI and RAG pipelines, within the AI Centre of Excellence in either London or Southampton. You will prototype, benchmark, and scale AI solutions for a financial services ...

Principal Data Scientist & Machine Learning Researcher Gloucester | London | Manchester Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions. Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data … scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques. We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site). ...

worldwide. You will work on challenging problems across software engineering where performance, data quality, and reliability are non‐negotiable, leveraging modern cloud (AWS) and AI‐assisted development tooling to accelerate delivery without compromising control. Practical use of AI‐assisted development tooling to improve engineering productivity is required. WHAT … such as AWS or Azure Knowledge of CI/CD, automation, testing, and modern engineering practices Strong problem‐solving and analytical skills Interest in AI and emerging technologies Ability to collaborate effectively across global teams Bachelor’s degree in computer science, engineering, or equivalent practical experience Experience We Value ...

provenance, versioning, and trusted sourcing. Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps. Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including … prompt handling, data protection, and model access controls. Implement safeguards against AI‐specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs. Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity. Collaborate with engineering teams to establish secure‐by‐design ...

Days Onsite) Salary + Benefits – £60,000 to £71,000 + 10% bonus, 33 days holiday, pension, healthCareer Progression + Modern Tech StackPyspark | ML | AI | Databricks | Kafka | AWSAre you a Data Engineer with strong Python, SQL and PySpark skills who is looking for the opportunity to step up and accelerate … ready to take on more responsibility, work on complex technical challenges, and gain exposure to cutting-edge technologies including Databricks, Kafka, Streaming, AI and Machine Learning.The OpportunityYou'll be joining a collaborative team of engineers and data specialists working on large-scale, real-time data platforms. This is a business ...

most recognised and celebrated personal lines insurers. The successful candidate will be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business … Responsibilities Designing, building and maintaining scalable data products. Developing and optimising data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases. Collaborating with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications. Integrating and transforming data from multiple sources ...