676 to 700 of 6,392 Machine Learning Jobs in the UK

help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow … EMEA AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly ...

summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you’ll do Lead the team Manage, coach and develop Penta’s Data Science team … will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large‐scale content processing. You will set its direction, raise its delivery bar, grow its people through hands‐on coaching, and lead from the front ...

5+ years of hands‐on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. 5+ years of experience working with GitHub actions Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing … frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical ...

play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets … complex business problems into software-engineered AI solutions- Deploying on cloud platforms like AWS, GCP, Azure- Contributing to open-source projects or AI/ML publicationTravel RequirementsNot SpecifiedJob Posting End DateThe salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

design, build, integration, testing and deployment. Build APIs, integrations, data pipelines and cloud‐native solutions that enable scalable AI applications. Evaluate, implement and optimise ML and LLM technologies, balancing performance, cost and risk. Lead client discovery, requirements gathering and feasibility assessments to identify high‐value AI opportunities. … generative AI solutions in production environments. Strong understanding of system architecture, APIs, data engineering and cloud platforms. Demonstrated ability to evaluate and implement ML/LLM technologies against business requirements. Experience leading client engagements from discovery through to delivery. Excellent stakeholder management and communication skills, with the ability to influence ...

working at the intersection of data science and engineering on GPS, inertial, and other sensor data. You'll move between quick heuristics and full ML models depending on what the problem calls for. You ship code to production, not just notebooks. RequirementsWhat You'll Be DoingWork with raw, high-frequency … production: prototyping in notebooks, then writing the production-grade Python and SQL that scales. Prioritise simple, robust solutions, rule-based when that's enough, ML when it's warranted. Lead experiments, validate impact with data, and automate insight generation. Collaborate closely with software engineers, product managers, and and actuaries ...

Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit‐learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands‐on experience … advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. #J-18808-Ljbffr ...

annum, 15 - 20% bonus target We're looking for an experienced Data Science & AI Delivery Lead to lead the delivery of enterprise AI and machine learning solutions within a global insurance organisation. This is a hands-on technical leadership role, ideal for someone who enjoys combining software engineering … delivery leadership. You'll help shape the technical direction of a growing AI function while leading the successful delivery of innovative solutions using machine learning, generative AI, and cloud technologies. What you'll do Lead the end-to-end delivery of AI, machine learning, and advanced ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … experience would help someone be successful in this role at Roku? Extensive experience in a software engineering environment Demonstrated project work using AI/ML and LLM technologies Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies Experience working in an embedded environment Experience ...

ensuring business value creation and impact. In this position you will play a key part in:* Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management* Delivering solutions using the latest GenAI … requirements and build out solutions.* Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production.* Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.* Experience designing ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean ...

technology, engaging with organisations at all stages of their cloud journey, from infrastructure modernisation and application migration through to advanced analytics and AI/ML workloads. Solutions Architects also take a leading role in creating and presenting technical content and best practices. Our Senior Solutions Architects are expected to build … building data platforms, or deploying AI-powered solutions. To do this they collaborate with other teams such as account management, professional services, AI/ML specialist teams, support, product teams, and the AWS partner ecosystem. In this role you will get to practice your creativity, linking technology to tangible solutions ...

production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit)You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring)You have advanced proficiency in SQL and Python, with ability to write clean ...

will help shape the organisation's data and AI strategy, enabling everything from enterprise reporting and advanced analytics to cutting-edge AI and machine learning solutions. Key Responsibilities Design and build scalable, cloud-based data platforms and architectures. Translate business requirements into robust, scalable data solutions. Develop conceptual … more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale environments. Experience building modern AI-enabled data architectures. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role ...

boundaries of retail technology. About the Role As a Data Scientist in our Treefrogs team, you will play a key role in powering the machine learning algorithms behind Ocado Group’s Logistics and Supply Chain technology. Our mission-critical models drive key operational decisions for global partners, including … drive-time predictions, and supplier reliability. In this role, you will own the full data science lifecycle, from researching state-of-the‐art deep learning techniques to deploying, scaling, and supporting production‐ready models. Working closely with cross‐functional software engineering, data engineering, and product teams, you will tackle ...

from legacy platforms to Databricks with minimal disruption and high data fidelity Drive adoption of Delta Lake, Apache Spark, and MLflow across analytics and machine learning use cases Establish best practices for data governance, lineage, and metadata management within Databricks Ensure data architecture aligns with relevant financial regulations … effectively Degree-level education or equivalent demonstrable experience Nice to have: Prior experience operating within or alongside regulated financial institutions Exposure to Data Science, ML, or AI solution delivery Why Apply? Hybrid working from Belfast city centre Join a practice at formation stage... real influence over how it is built ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data applications … with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt.* **AI and MLOps** Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment.* **Containerisation and Kubernetes** Confidence deploying applications in containerised environments, including defining services ...

diffusion, flow matching, transformers, and GANs.4+ years of experience in machine learning frameworks (TensorFlow/PyTorch) with a proven history of building ML pipelines in the audio domain. Proficiency in Python, including package development and collaborative coding practices (e.g., open-source contributions).Expertise in performance analysis and optimization … ML systems. Hands-on deployment experience with systems like TensorFlow Lite, ONNX, TVM, and Glow. Strong familiarity with cloud compute environments, ideally AWS, and data ingestion (e.g., TF Data pipelines).Knowledge of source control and project tracking systems (e.g., GitHub, Jira). Preferred ExperienceTrack record of research publications in conferences ...

powered customer experiences across Lloyds Banking Group Working as part of multidisciplinary teams, the role contributes to the development, deployment and operation of machine learning, generative AI and agentic AI solutions that power strategic capabilities such as Conversational AI, AI Search and personalised customer engagement The successful candidate … contribute throughout the software development lifecycle Awareness of Responsible AI, model governance, security and operational considerations when deploying AI solutions Applied AI/ML and GenAI experiencewith knowledge ofestablishedpatterns(RAG, tool use, guardrails, evaluation, agents)and anability to evaluate toolsandapproaches Strong communication skills, with the ability to explain technical concepts ...

knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including proficiency in Python … experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector ...

Engineer to join a growing team to ingest, cleanse and model data into single source of truth, Kimball datasets, used for Business Intelligence reporting, ML, DS & AI and more. A Senior Data Engineer to manage, lead, guide, advice and develop technology and people. Responsible to lead the work, activities, oversight … technologies, such as Azure Stream Analytics, Spark Structured Streaming, etc. Power BI Engineering experience Certified SCRUM Developer (CSD) Data Governance tool experience e.g. Purview Machine learning and Artificial intelligence CDW is committed to being an AI-fluent organization We’re looking for people who bring curiosity, a learner ...

powered customer experiences across Lloyds Banking Group. Working as part of multidisciplinary teams, the role contributes to the development, deployment and operation of machine learning, generative AI and agentic AI solutions that power strategic capabilities such as Conversational AI, AI Search and personalised customer engagement. The successful candidate … love you to be part of the journey. What we're looking for? Proven experienceengineeringtechnologysolutions in complex environmentsandsupportingproductionoperations Applied AI/ML and GenAI experiencewith knowledge ofestablishedpatterns(RAG, tool use, guardrails, evaluation, agents)and anability to evaluate toolsandapproaches Experience working with conversational AI platforms and customer-facing AI applications. Experience ...

Code (Terraform, Ansible), observability, monitoring, and automated deployment pipelines. Strong understanding of Secure SDLC, release engineering, operational excellence, and platform automation. AI, Generative AI & Machine Learning Expertise in Generative AI, Machine Learning, Deep Learning, and Agentic AI solutions using OpenAI, Azure OpenAI, Anthropic, Gemini, Llama ...