1,901 to 1,925 of 2,170 Machine Learning Jobs in the UK excluding London

Analytics & AI) Role Overview We are seeking a Data Architect to support the design and delivery of cloud-based data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise … products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access control standards. ...

based, hybrid work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams. You'll build and deploy ML/NLP solutions, explore LLMs, and partner with product and engineering to deliver production-ready models across AWS and Azure, improving compliance and safety outcomes. ...

agile team delivering secure, scalable software solutions across multiple domains and leveraging AI-assisted development tools. The role emphasizes production-grade Python systems, ML/NLP workflows, large datasets, and collaboration with CI/CD, data engineering, and security practices. Hybrid or on-site arrangements may apply. #J-18808-Ljbffr ...

just written: Dagster or Airflow, S3-based data flows, and a habit of testing outputs for correctness rather than only for exceptions. Applied ML in production: embeddings and semantic similarity, clustering, or operationalising models (not necessarily training from scratch). AWS fluency and CI/CD discipline. Nice to have … Practical LLM engineering: prompting, batch inference, and cost and throughput trade-offs across providers. SageMaker, Bedrock, or comparable managed ML tooling. Financial and equities domain knowledge: classification taxonomies, factor models, index construction. Valuable but learnable. Infrastructure as code (AWS CDK or Terraform) and Docker. Experience we're looking ...

skill and experience. Essential RequirementsYou will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture … Experience with cloud infrastructure (AWS/GCP/Azure) Experience building APIs and working with distributed systems Systems thinking: Experience designing data pipelines or ML infrastructure Ability to evaluate end-to-end workflow performance Familiarity with AI/ML lifecycle (training to inference to evaluation to feedback) Product judgement: Ability ...

technology strategy. The AI Centre of Excellence is responsible for identifying and delivering high-value AI opportunities, developing production-grade AI and ML solutions, and supporting the wider organisation in adopting new AI technologies and engineering practices. This is an opportunity to join a technically ambitious team working across … cloud, engineering and data, with exposure to complex enterprise environments. About you Strong experience delivering production-grade AI/ML solutions Strong software engineering and architectural capability Experience working with cloud platforms, particularly AWS and/or Azure Comfortable building APIs, services and production pipelines Strong understanding of LLMs ...

cloud infrastructure. Proficiency in Python and/or another general‐purpose language, with strong testing discipline Hands‐on experience building with LLMs or other ML systems (prompt engineering, fine‐tuning, retrieval, model integration), with an understanding of their failure modes and tradeoffs. Proven experience designing and leading evaluation …/ML systems: defining metrics and methodology, building evaluation pipelines, managing test sets, and reasoning rigorously about model quality and regressions. Strong command of evaluation concepts — various types of metrics (accuracy, precision, recall, F1), the distinction and tradeoffs between automated and human evaluation, statistical significance, and the limits of each ...

Responsibilities Provide technical leadership and own architecture, planning, and delivery for AI-powered products and applied research projects Build and integrate AI/ML solutions - model integration, evaluation, prompt engineering, and RAG pipelines - using Azure AI services (Azure OpenAI, Microsoft Foundry, Cognitive Services) Design and develop across the full stack … support the development of junior engineers within the team Drive modern CI/CD practice, including model versioning, experiment tracking, and automated evaluation for ML/AI workloads What You'll Need Essential: Strong hands-on experience in Python or C#/.NET, with real experience building AI/ML ...

analytics, and design AI-augmented workflows to modernize complex, data-intensive supply chains. Key Responsibilities Data-Driven AI and Digital Innovation: Champion AI/ML, RPA, and process mining across operational programs. Collaborate directly with data engineering teams to define data pipelines for AI/ML models, design augmented workflows ...

/CD, observability and deployment. About You You will be a Senior GenAI/NLP Engineer with strong experience delivering production AI/ML solutions across cloud environments. You'll have hands-on experience with LLMs, RAG, agentic AI, vector embeddings and model evaluation, alongside technologies such as AWS Bedrock … enjoy solving complex technical challenges to build secure, scalable and production-ready AI solutions. Key requirements: Strong professional experience in GenAI, NLP, AI/ML Engineering, or a similar role, with experience delivering production-ready solutions. Strong hands-on experience with LLMs, RAG pipelines, agentic AI, vector embeddings, and model ...

Work directly with customers to shape requirements and translate them into working software. Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure ML and AI Search. Provide technical leadership, ensuring engineering rigour, code quality and best practice. Support pre-sales activity through prototyping, research and proof-of-concept …/testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers strong development culture, structured learning pathways, competitive salary progression, generous leave, wellbeing support, health cash plans, volunteering days, life assurance, EV and tech schemes, retail discounts, onsite gyms (where ...

advance your career in a high‐impact, innovative environment, we want to hear from you! At Lockheed Martin, we provide meaningful work and continuous learning opportunities that will help develop your skills and progress your career. We believe in supporting a healthy work‐life balance, offering flexible work schedules … lifecycle of an application, implementing test harnesses and simulations for effective system verification and validation. Innovation – Embrace the use of the latest AI/ML tooling and hybrid cloud compute environments to deliver results that continually outpace and challenge the status quo. Collaboration & Reporting – Use Agile principles and strong communication ...

Technology. Proven experience in business development within a medium to large scale IT services provider specifically into the Insurance sector Experience with AI/ML use cases in underwriting, claims, and fraud. Familiarity with cloud ecosystems (AWS, Azure), actuarial data environments, and Insurtech integration. Additional Information Why join Version … Professional Growth: We offer peer mentorship programs and career development opportunities to help you reach your full potential, giving you full access to modern learning platforms to grow your skills. Work-Life Balance : We understand the importance of work-life balance and offer flexible working arrangements. Supportive Community: Join ...

advance your career in a high-impact, innovative environment, we want to hear from you! At Lockheed Martin, we provide meaningful work and continuous learning opportunities that will help develop your skills and progress your career. We believe in supporting a healthy work-life balance, offering flexible work schedules … lifecycle of an application, implementing test harnesses and simulations for effective system verification and validation. Innovation – Embrace the use of the latest AI/ML tooling and hybrid cloud compute environments to deliver results that continually outpace and challenge the status quo. Collaboration & Reporting – Use Agile principles and strong communication ...

Experience with incident management and performance optimization (Required) Experience integrating AI-assisted development tools into daily workflows (Preferred) Experience building or integrating AI/ML capabilities into applications (Preferred) Education Bachelor's Degree in Computer Science, Software Engineering, Systems Engineering, Mathematics, Physics, Economics, Business Administration, or related field (Required) Professional … Preferred) GitHub Actions (Preferred) Gradle (Preferred) SonarQube (Preferred) Soft Skills Problem-solving skills (Required) Analytical thinking (Required) Teamwork and collaboration (Required) Communication skills (Required) Learning agility (Required) Proactive mindset (Required) Leadership mindset (Preferred) Technical mentoring capabilities (Preferred) Continuous improvement mindset (Preferred) *the company Platforms is proud of being ...

enhance security policies, standards, and procedures across the organisation. Manage the information security risk program, maintaining a comprehensive risk register. Oversee AI/ML security risk management, including the development of policies for generative AI technologies. Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related … family members) Monthly gym allowance Holiday trading scheme Season ticket loan Cycle to Work scheme Employee discount shopping platform Employee referral bonus scheme Digital learning platform Complimentary fruit and other in office snacks & refreshments Volunteering programme Social events Diversity: Edenred PayTech are proud to be an equal opportunity employer. ...

client pitch contribution, client hosting at events.* **Internal Contribution** – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.* **Learning & Development** – Training to support your career development and the skills demand within the company, certifications etc.## **Your Profile**You’ll thrive in this role … automation, such as:* RPA development (e.g., UiPath, Blue Prism, Automation Anywhere, NICE, ServiceNow, Power Platform)* IDP (Intelligent Document Processing) (e.g., Hyperscience, ABBYY, Kofax)* NLP, ML, or AI‐enabled automation (e.g., Spacy, Azure Cognitive Services)* Low‐code platforms (e.g., Appian, Power Platform, Pega, Dynamics 365)* Workflow orchestration* Exposure to Agentic ...

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...

days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. Financial coaching + 5% pension match. 40 hours of paid learning and development. CreateFuture is a Great Place to Work-Certified company and has won Best Workplaces UK multiple years in a row. Join … Administrator (CKA). Multiple professional-level certifications (AWS Certified Solutions Architect - Professional or Azure Architect AZ-305.) Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. FinOps Certified Practitioner (FOCP). What We’ll Offer You We trust people to do their best work. ...

Strong Python expertise in production environments Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge) Experience working with LLMs or AI/ML systems Strong understanding of APIs, async systems, and scalable architecture Nice to Have Experience with AI safety, guardrails, or policy enforcement Background in agentic systems … autonomous workflows Experience in financial services or regulated environments Familiarity with Node.js/TypeScript, Terraform or CDK Knowledge of observability tools and ML fundamentals You’ll Thrive If You Are Pragmatic and able to balance speed with long-term quality Curious about AI, especially safety and responsible usage Comfortable working ...

team, you will leverage deep operational experience to deliver complex change across report automation, platform enhancements and migrations, and the introduction of AI/ML-enabled capabilities. You will work closely with Operations, Technology, and Compliance to modernize processes end‐to‐end, strengthen controls and data quality, and ensure change … data flows. Lead delivery of transformation workstreams: report automation, platform rollouts, migrations, and re‐engineering. Drive adoption of intelligent automation (including AI/ML) in partnership with Technology and Data Science. Own the delivery lifecycle: requirements, impact assessment, UAT coordination, cutover planning, and stabilization. Deliver change with minimal BAU disruption ...

What You’ll Be Doing Lead design and development of Java microservices (Spring Boot/Quarkus) on Google Cloud. Drive integration of AI/ML and generative AI capabilities into sales applications. Partner with innovation and data teams to operationalize AI into production systems. Guide architecture decisions on APIs, event … work in the US without visa sponsorship. Practical exposure to Python-based services and ability to extend/refactor them. Experience integrating AI/ML or generative AI services into production enterprise systems. Understanding of security, governance, and responsible AI considerations. Ability to influence architectural direction without direct supervisory authority. ...