626 to 650 of 724 Machine Learning Jobs in the UK excluding London

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 ...

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 ...

delivery, working directly with end users to understand requirements, build solutions, and continuously improve them. Key responsibilities include: Developing and deploying AI/ML solutions using Python and SQL Working with LLMs , including prompt engineering, evaluation and optimisation Engaging directly with business users to scope requirements and translate into technical … financial services environment , ensuring compliance and governance standards are met What We're Looking For 3-6 years' experience in AI, Data Science or ML Engineering roles Strong Python and SQL skills, including data manipulation (Pandas) Experience working with LLMs, prompt engineering and model optimisation Understanding ...

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 ...

improve quality A track record of understanding, assessing, and embracing new tooling and trends within the software industry Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices … deadlines Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Driving innovation by proactively surfacing new technical approaches and product solutions Leading ...

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 ...

emerging AI technologies and apply them pragmatically (not experimentally) • Own the agency-wide experimentation roadmap • Design structured tests with clear hypotheses, success criteria and learning outcomes • Introduce advanced testing methodologies (e.g. multi-armed bandits, automation-led testing) • Ensure learnings are embedded back into channel strategies, not left as theory … platform mechanics and APIs (Google, Meta, etc.) • Commercial mindset - able to balance statistical rigour with business reality Desirable • Experience implementing AI or ML models in marketing environments • Familiarity with automation tools, cloud data platforms, and LLMs for analysis • Agency experience or working in fast-paced, client-facing environments • Experience designing ...

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 ...

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/ ...

will own the design and delivery of interfaces that enable human supervision of AI agents at scale. You will work closely with applied researchers, ML engineers, product managers, and UX designers to create intuitive, trustworthy, and effective tools for operators. Your expertise will shape how our platform supports settlements, reconciliations … support approvals, corrections, exceptions, streaming reasoning, tool calls, and multi-agent coordination Integrate with case orchestration and context engineering layers Communicate clearly with research, ML, product, design, and operations stakeholders Deliver maintainable, production-grade code that meets high standards for reliability and usability Required Qualifications, Capabilities, and Skills: Expertise ...

This AI/ML infrastructure role is with a seriously exciting scale up. The robots are deployed, the data is flowing, and the team is growing. They need someone to own the operational infrastructure that powers the robot Learning team, from demonstration capture through to deployed behaviour … TensorRT), latency profiling, deployed-policy monitoring Staged rollout to the robot fleet with rollback capability What We're Looking For Essential: 3+ years building ML infrastructure or MLOps pipelines in production Strong Python; PyTorch training pipelines and distributed training (DDP/FSDP, DeepSpeed, or similar) Docker containerisation and multi-stage ...

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 ...

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/ ...

unpaid sabbatical after 5 years of service Pension and healthcare support (including free eye tests and employee assistance programs) Company-funded training and external learning opportunities Employee discount on company products Interest-free company loan up to £1,000 (after 6 months) Social events, staff incentives, and clear career … ensure alignment with strategic objectives Work with leadership to plan workloads, delegate responsibilities, and manage multiple projects efficiently Explore emerging technologies, including AI & ML, to enhance analytical capabilities (training available) Collaborate with data engineers to support ETL process improvements Whats next? Its easy! Click APPLY now! We cant wait ...

maintain a competitive edge, with a particular focus on AI. Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team. Ideal profile 7+ years of professional experience in Java development, with a focus on building client facing APIs or platforms … mentoring diverse teams. Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases). Experience integrating AI/ML services into backend systems and APIs. Familiarity with AI driven development practices and tools for code generation and testing. Strong proficiency in Java and related frameworks ...

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. ...

Python Engineer - AI/ML Automation Location - remote, with occasional trip to Edinburgh or Glasgow when required Duration - 6 months with possible extensions Day rate - circa £520 Outside ir35 We are looking for an experienced Python Engineer to join a forward-thinking agile team focused on building AI-driven automation … integrate solutions into existing digital platforms Support production systems, ensuring performance, reliability, and continuous improvement Contribute to research and development of innovative AI/ML solutions Write clean, maintainable, and well-tested code following best engineering practices Participate in agile ceremonies, code reviews, and collaborative development activities Mentor team members ...

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 ...

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/ ...

securing multi-tenant systems, including robust tenant isolation Working closely with engineering teams to influence architecture and design decisions Securing modern AI/ML infrastructure (LLMs, pipelines, vector databases) Building and enforcing security within Infrastructure as Code and CI/CD pipelines What they’re looking for: Background in cloud … tooling into CI/CD (SAST, DAST, SCA, container scanning) Familiarity with Terraform or Pulumi and policy-as-code approaches Exposure to AI/ML systems and associated security risks is a strong plus Why this role stands out: Opportunity to influence architecture , not just review it Strong engineering-first ...

junior colleagues and modernising our AI capabilities. The Role Technical Leadership: Act as a senior hands-on practitioner, leading the delivery of analytical and ML workstreams. Modernisation: Take an active interest in emerging tools (including Agentic frameworks and Generative AI ) to strengthen the team's capability. Mentorship: Provide technical guidance … likely have a background in the Public Sector, Government (Grade 7 equivalent), or a highly regulated industry . Essential Experience: End-to-End ML: Proven experience delivering applied data science projects from feature engineering to deployment. Python Mastery: Expert-level Python skills with a focus on code structure, testing ...