751 to 775 of 845 Machine Learning Jobs in the UK excluding London

have GPU/CUDA acceleration experience Knowledge of concurrency, networking, or OS-level systems Experience with distributed or cloud-based architectures Exposure to machine learning applied to vision systems ...

governance and lifecycle management Work with complex healthcare data to deliver meaningful, real‐world impact Skills & Experience Essential Strong technical background in AI/ML (Python, SQL, cloud – Azure/GCP/Snowflake) Experience with MLOps, scalable ML infrastructure and model governance Strong stakeholder management – able to influence both technical … continuous improvement Desirable Able to communicate complex AI concepts to senior stakeholders Experience leading cross‐functional teams and remote teams Experience delivering AI/ML solutions in healthcare/regulated environments Exposure to complex healthcare data (e.g. clinical, imaging) Agile delivery experience (e.g. Azure DevOps) Passion for ethical ...

Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus on ensuring the platform is reliable, secure, well-governed and scalable, while helping data science … monitoring Support data science and engineering teams in operationalising models end-to-end Improve CI/CD, environment management and automated testing for ML workloads Implement model monitoring across drift, performance, data quality and latency Support model lifecycle governance, including versioning, approvals, traceability and reproducibility Security, Risk & Compliance Manage platform ...

privacy and compliance standards. Run lightweight experiments and spikes to validate AI use cases and measure impact. Collaborate with internal or external AI/ML specialists and vendors to integrate AI services into products and platforms. Support the full lifecycle of AI-enabled features from prototype through to production monitoring … Safety, Certification, background screening or eLearning. Experience working across multiple business units or product portfolios. Experience leading distributed or remote teams. Previous exposure to ML/AI-focused engineering leadership environments. Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days of Holiday ...

hand of the CDAO. This is a pure project management role — you will act as the primary facilitator across a Data Engineering, AI/ML, BI, and Investment Pricing teams, translating high-level organisational ambition into structured, deliverable plans. This is not a coordination role. You will own delivery, challenge … business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers and senior commercial stakeholders. Proficient ...

strategic planning Promote and enforce architectural standards, simplification, and reuse across the enterprise Actively participate in agile ceremonies and foster a culture of continuous learning and iterative delivery Essential Skills Minimum 5 years software engineering experience in at least 3 programming paradigms, including: Object‐oriented (Java & JavaScript required … practices, such as behavior‐driven development (BDD) and integrating automated security checks into CI/CD pipelines Familiarity with emerging technologies (e.g., AI/ML, knowledge graph solutions, advanced analytics) and their application to improve developer velocity, platform reliability, and security capabilities Exposure to specialized security domains like AI Security ...

variety of open-source, commercial, and bespoke solutions. Leadership & Mentorship: Lead a team of Quality Engineers, providing technical advice and supporting their professional learning and development. Technical Authority: Provide expert guidance on test strategies, tools, and architecture, forming close relationships with engineering leads and stakeholders. QA Health Checks: Perform …/CD, release management, and pipeline implementation (Jenkins, Azure DevOps, GitHub Actions). Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Industry-recognised certifications in programming languages ...

access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and the foundations for advanced analytics and future AI/ML capabilities. Key Accountabilities & Responsibilities Snowflake Data Engineering Delivery Design, build, and maintain high-quality data pipelines and models in Snowflake to support business analytics … Snowflake datasets. Enablement for Analytics & Data Science Implement dimensional models that provide clean, well-structured, reusable datasets for reporting, scenario modelling, and emerging ML/AI use cases. Monitoring, Reliability & Operations Implement and maintain monitoring, alerting, logging, and cost-management processes for Snowflake and data pipelines to ensure a stable ...

quickly together, embracing collaboration and change as part of start‐up life. Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it – not because it is expected every day, but because seeing progress matters. … Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‐based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system ...

technology with strategic business outcomes. Implement monitoring, observability, and disaster recovery strategies ensuring high availability, system resilience, and proactive issue resolution. Lead AI/ML and analytics integrations with Databricks, Power BI, and MDM platforms to enable advanced reporting and insights. Mentor and enable internal teams through technical training, knowledge … data Data Model, Data Mapping, ETL Mapping Data Governance (Purview, Databrick Unity Catlog) Data Profiling, Data Quality, Security MDM (Profisee, Informatica) HADR, AI/ML Compute, network strategies (Private Endpoint, Vnet, ExpressRoute) Security frameworks, IAM, RBAC, firewall rules, Zero Trust architecture Threat modelling, risk assessments Monitoring, Logging Cost and performance ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

focused on helping clients eliminate wasteful and fraudulent ad traffic. The Role We are looking for an experienced Data Scientist with strong ML & NLP expertise to build and improve models that detect invalid traffic (IVT) and protect ad spend. You’ll work with large-scale data, design production-ready ML … systems, and collaborate closely with engineering to keep models performant and reliable. Responsibilities Develop and deploy ML models to detect bot and fraudulent traffic Lead research and prototyping of new detection methods Monitor model performance and address drift or false positives Collaborate across teams to turn insights into product features ...

physical robot hardware Mentor junior researchers and engineers, and publish at top-tier venues What We're Looking For Essential: PhD/MSc in ML, Robotics, CS, or related field with 4+ years of equivalent industry research experience Demonstrated expertise training and deploying learned manipulation policies on real robots Strong … tier venues — conference attendance and open-source contributions are actively supported What's On Offer Join a team with world class applied research scientists, ML engineers, and robotics software engineers A mature platform that ships to physical hardware, not slides Active support for conference attendance and open-source contributions Competitive ...

fast-paced, evolving environments. Desirable Proficiency in SQL for data extraction and transformation. Knowledge of supply chain/logistics KPIs. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries ...

possible without ensuring we deliver an exceptional employee experience. Your life at PEXA Your growth We encourage you to hit your personal and professional learning and development goals with our tailored programs and tools. Your wellness We care about your holistic wellbeing. Your work/life blend We know … Have Experience in financial services, property technology, or regulated industries Experience leading distributed teams across multiple locations and time zones Knowledge of AI/ML frameworks: LangChain, Anthropic Claude, AWS Bedrock, GitHub Copilot Experience with modern data platforms: Databricks, Snowflake, dbt Background in DevSecOps or platform engineering ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … apps, preferably Local AI. Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability. Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding. Expertise in feature design, prioritization ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology … apps, preferably Local AI. Drive fast, agile, and flexible solutions to deliver business outcomes with precision and adaptability. Strong technical understanding of AI/ML concepts, such as on-device inference, model optimization, edge computing, and privacy-preserving techniques, without requiring hands-on coding. Expertise in feature design, prioritization ...

focuses on integrating AI capabilities into production systems, ensuring they are reliable, secure, and deliver measurable impact. What You’ll Do Integrate AI/ML components into applications and operational workflows Design and implement Retrieval-Augmented Generation (RAG) solutions Evaluate LLM performance, identify failure modes, and implement mitigation strategies Test … appropriate Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions What You’ll Need Experience building or integrating AI/ML systems into real-world applications Strong understanding of LLMs, ML models, and core statistical concepts Experience evaluating AI systems and improving reliability and performance Ability ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

engineering reusable cloud infrastructure, automating platform provisioning, embedding governance and controls, and enabling high-quality, production-ready GCP services for enterprise AI/ML workloads. Key Responsibilities Design, build, and automate GCP infrastructure using Terraform and Python. Provision and manage cloud environments required for the program, including Production. Develop reusable … templates, and engineering patterns for scalable GCP adoption. Implement cloud services and platform capabilities required to enable Vertex AI APIs and enterprise AI/ML workloads. Build automation for provisioning, configuration validation, compliance checks, operational workflows, and platform integrations. Collaborate with architecture, security, network, IAM, and platform teams to deliver ...

WOULD BE GREAT IF YOU ALSO HAD Experience with Databricks or Snowflake, particularly in analytical or data-intensive contexts Familiarity with AI/ML in production: model serving, prompt pipelines, or agentic patterns Experience with consumption-based and subscription billing Experience with self-serve billing platform integrations Exposure to aviation … during your birthday month ⚡ Octopus EV salary sacrifice scheme 🌍 Work remotely anywhere in the world for up to 1 month per year 📚 Annual learning and development budget. OAG is committed to creating an inclusive workplace where everyone feels valued and able to perform at their best. We welcome applications ...

GitHub or GitLab Actions. Build and iterate on frontend interfaces using React, Vue, or Next.js within a single-page application architecture. Integrate AI/ML models built with SciPy, Pandas, Scikit-learn, and TensorFlow into production systems. Must have's as Software Developer: Backend: Python, Django, Django REST Framework, Celery … task queue architectures. Eligible to work in the UK. Nice to have's as a Software Development Engineer: Interest or experience in AI/ML or scientific computing. Exposure to the bioenergy, clean technology, or sustainability sectors. Experience in early-stage or scale-up technology environments. This is an excellent ...

working with: Cloud platforms (AWS, Azure, and/or GCP) Application security across the full SDLC Designing and securing multi-tenant architectures AI/ML infrastructure and emerging security challenges Infrastructure as Code (IaC) with embedded security controls What we’re looking for: Strong background in cloud architecture or security … core architectural consideration, including tenant isolation at both application and data layers Hands-on experience with AWS, Azure or GCP Understanding to AI/ML platforms and infrastructure (e.g. model pipelines, serving layers, vector databases, LLM integrations) Strong knowledge of authentication and authorization patterns (OAuth2, OIDC, SAML, JWT, RBAC/ ...