126 to 150 of 6,361 Machine Learning Jobs in the UK excluding London

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … workshops, and active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … workshops, and active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … workshops, and active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … workshops, and active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in More ❯

Tech Stack We use a wide variety of tools and technologies across our products. For this role, we're looking for: Strong Python skills and experience with AI/ML approaches and frameworks such as RAG, LangChain, TensorFlow, and PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas … NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks. Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Proficiency in data pre-processing, data wrangling, and augmentation techniques. Experience with cloud platforms (e.g. AWS, Google Cloud, or Azure) for deploying scalable AI solutions. Understanding of MLOps practices, model deployment, and monitoring in production environments. Experience with Docker, Kubernetes … Edinburgh, Scotland, United Kingdom 1 week ago Edinburgh, Scotland, United Kingdom 4 days ago Edinburgh, Scotland, United Kingdom 3 weeks ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Edinburgh, Scotland, United Kingdom 3 months ago Applied Scientist, Amazon Ads - Creative X Edinburgh, Scotland, United Kingdom 3 days ago Edinburgh, Scotland, United Kingdom 3 hours ago Edinburgh, Scotland More ❯

deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning and GenAI techniques to develop … the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model … and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI More ❯

and iterative refinement Collaborate with cross-functional teams including researchers, engineers, and external partners to develop, test, and scale innovative digital twin solutions Guide the development and deployment of machine learning models that power real-time, multimodal construction insights Ensure high-quality, maintainable code through robust documentation, testing, and software development best practices Communicate key findings and recommendations … related field 10+ years of experience in Digital construction including 5+ of experience in the specificity of Construction Site Digital Twin or similar research Deep understanding of AI/ML concepts applied to Digital Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as … GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and adept at working with new technology Extensive experience in coding (C++, Python) Strong experience with cloud services & architectures (AWS, Azure, etc.) Excellent written communication skills to document code, architectures, and experiments Preferred Qualifications Knowledge of the More ❯

and iterative refinement Collaborate with cross-functional teams including researchers, engineers, and external partners to develop, test, and scale innovative digital twin solutions Guide the development and deployment of machine learning models that power real-time, multimodal construction insights Ensure high-quality, maintainable code through robust documentation, testing, and software development best practices Communicate key findings and recommendations … related field 10+ years of experience in Digital construction including 5+ of experience in the specificity of Construction Site Digital Twin or similar research Deep understanding of AI/ML concepts applied to Digital Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as … GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and adept at working with new technology Extensive experience in coding (C++, Python) Strong experience with cloud services & architectures (AWS, Azure, etc.) Excellent written communication skills to document code, architectures, and experiments Preferred Qualifications Knowledge of the More ❯

Software Engineer to support rapid-response research and development (R&D) in various laboratory environments, focusing on mission-critical SIGINT and GEOINT challenges. This role involves leveraging expertise in machine learning, algorithm design, and software development to create tools, algorithms, and prototype capabilities that address emerging intelligence issues. The Software Engineer will work in dynamic lab settings, collaborating … solutions under tight timelines. The role demands adaptability, technical expertise, and a strong ability to bridge algorithm theory with practical software engineering applications. Key Responsibilities Design, develop, and implement machine learning models, algorithms, and software tools to support SIGINT and GEOINT mission objectives in lab environments. Rapidly prototype and deliver capabilities to address emerging intelligence issues, ensuring alignment … to enhance performance in resource-constrained or time-sensitive environments. Document technical designs, algorithm specifications, and software processes to support mission continuity and compliance. Stay current with advancements in machine learning, SIGINT, and GEOINT technologies to inform R&D efforts. Basic Qualifications Bachelor’s degree with 8+ years related experience or Master’s degree and 6+ years related More ❯

a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in developing and implementing cutting-edge AI and machine learning models to extract valuable insights from large datasets. You will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the development of … innovative solutions. Responsibilities: Data Modeling and Evaluation: Utilize advanced statistical and machine learning techniques, including Gen AI technologies, to analyze and interpret complex datasets.Evaluate model performance and iterate on models to improve accuracy and efficiency, especially in the context of Gen AI technologies. Data Processing : Analyze large, complex datasets to identify trends, patterns, and insights relevant to financial … experts, to integrate AI models, particularly Gen AI models, into applications and systems.Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner. Continuous Learning: Stay abreast of the latest advancements in data science, machine learning, AI and financial technologies to bring innovative solutions to the organization.Contribute to the organization's innovation More ❯

and features. Get the opportunity to work with modern tech, data stacks, and cloud-based architectures, managing both the foundational data solutions alongside the adoption of advanced AI and ML capabilities. Be solving technical problems at pace, identify and implement software engineering best practices, manage task dependencies and priorities to ensure timely delivery. Advise engineers on considerations around functional and … Desirables: Industry Standard: GCP Data Engineer/Cloud Architect certifications Good appreciation of data security and privacy, and architectural implications it has on application design. Modern progressive technologies - e.g., machine learning, artificial intelligence, block chain etc. High-level knowledge of QA, data quality, and software quality tools such as SonarQube, etc. About working for us Our focus is More ❯

days ago Be among the first 25 applicants Role Description In this role, you will be at the forefront of developing fully operational machine learning products designed to address the core challenges of our business. Your involvement will span all aspects of these projects, including engaging with business subject matter experts, model building, evaluation, and deployment. Role Description … In this role, you will be at the forefront of developing fully operational machine learning products designed to address the core challenges of our business. Your involvement will span all aspects of these projects, including engaging with business subject matter experts, model building, evaluation, and deployment. You will also contribute to the development of innovative tools and techniques … per annum. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package. About You Conceiving and developing machine learning solutions to address complex business challenges, collaborating closely with cross-functional teams to define project goals, scope, and deliverables. Taking ownership of the deployment of solutions into More ❯

Version Control (e.g. Git) Excellent knowledge of databases such as SQL/NoSQL Experience with at least one Cloud Provider (AWS, Azure or GCP) Strong experience deploying and monitoring machine learning (MLOps), using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning Experience in relevant Data Manipulation, Machine Learning and Statistical Analysis coding … packages (eg. in Python: NumPy, Scikit-Learn, Pandas, Matplotlib etc.) Strong skills in data exploration, cleansing, modelling and presentation Strong experience in testing data models and Machine Learning Models Strong experience in data presentation and visualisation Desirable Technical Experience Demonstrable experience applying natural language processing (NLP) to areas such as information retrieval Proven ability to design, build, and More ❯

delivery of cloud-based data solutions for our clients leveraging Databricks. The Practice Lead will collaborate with internal teams and clients to design, implement, and optimize big data and machine learning workflows, driving value through scalable and efficient data architectures. The ideal candidate has a deep understanding of cloud-based data processing, particularly within a Databricks environment, and … expand the client base. 2. Team Management & Development Build, mentor, and manage a team of data engineers and consultants within the Databricks practice. Foster a culture of innovation, continuous learning, and knowledge sharing within the team. Develop training programs and professional development opportunities to ensure team members are skilled in the latest technologies and best practices. 3. Project Delivery … tuning, cost optimisation, and security management. Develop reusable frameworks, assets, and accelerators to improve delivery efficiency and consistency across projects. Advocate for the adoption of advanced analytics, AI, and machine learning capabilities within Databricks to drive additional business value. Qualifications Key Qualifications Strong experience in data engineering, data architecture, or big data analytics. Proven experience designing and deploying More ❯

use your technical expertise to make a real difference. The Role - Space, Defence & Intelligence - Technical Graduate - (Leatherhead based) With CGI, you won't just be a cog in the machine - you'll be trusted with responsibility from the start. Whether you're coding complex software, optimizing cybersecurity protocols, managing next-gen infrastructure, or testing cutting-edge systems, your work … ideas are recognised and contribute to the success of the team and the organisation. • Be empowered: Start with a structured Early Careers Induction Programme, access 24/7 e-learning, and gain professional certifications to sharpen your expertise. • Be Collaborative: Our Student Kick-start Initiative will give you the chance to work with fellow graduates on creative and impactful … C# Systems & Tools: Knowledge of or experience with: • ??Linux/Unix operating systems • ??Cloud Technologies (AWS, Azure, Google Cloud) • ??DevOps tools (e.g., Docker, Kubernetes) • ??Version Control Systems (e.g., Git) • ??Machine Learning/AI technologies • ??Software Development: Understanding of software development methodologies, including Agile and DevOps practices. • ??Networking & Cybersecurity: Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is More ❯

KPMG Ireland is an opportunity to enhance your career, not only in the work that you enjoy doing, but equally through the global connections that you make, the lifelong learning that you can accomplish and the chance to make your mark. Location: Belfast, as part of our hybrid working model. Grade: Senior Consultant Contract type: Permanent Are you our … teams, including data engineers, data scientists, AI specialists and business and process SMEs. You understand that delivery is a team sport and work collaboratively to achieve sustainable results, while learning from and mentoring your colleagues. You have a growth mindset and want to be part of a team that is innovative, yet confident in high quality delivery. Preferred Technical … analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise More ❯

on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We Offer A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications Regular and frequent promotion and progression opportunities to ensure you can drive and develop your … continuously in the UK for the last 5 years. You must be able to hold or gain a UK government security clearance. Preferred Technical And Professional Experience Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies (Hadoop, Spark). Background in data science, IT consulting, or a related field. AWS Certified Big More ❯

proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development. Learning & Development - Training to support your career development and the skills demand within the company, including leadership and technology certifications etc. Your Profile We are looking for candidates who bring … stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic … people. All UK employees are eligible to request flexible working arrangements. Shape your path You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft More ❯

design through production Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Preferred Qualifications Experience designing data platforms that support analytics, machine learning, and operational workloads Familiarity with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as … can feel really proud of what you and your team created Personal development - clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning. Belonging - everyone at FanDuel works for each other, we win together, make mistakes together and have lots More ❯

in one or more Javascript frameworks, React, Angular, etc. A strong understanding of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and a solutions-focused mindset. Desirable More ❯

the team. Why Join? Collaborate with a skilled, multidisciplinary team on a modern SaaS data and search platform Get involved with cutting-edge areas such as vector search and machine learning Thrive in a culture that encourages experimentation, innovation, and continuous improvement What’s in It for You? Competitive compensation and benefits Flexible remote-first setup with periodic More ❯

span the entire asset lifecycle; strategy, planning, design, build, operate and disposal. Digital Intelligence has embraced a platform approach, that converges our product capabilities and opening new possibilities using machine learning and artificial intelligence. This approach encompasses a multitude of vendors (Microsoft, AWS, ESRI, Snowflake, IBM and Apache Software Foundation) and services (Azure, Microsoft Fabric, Apache Airflow, dbt More ❯

capabilities to support self-service data analytical tools Reporting and maintenance of data quality of core datasets and define improvement strategies Develop data infrastructure to support potential AI/ML use-cases Data Governance: Establishing data governance frameworks, policies, and standards Defining data ownership, stewardship, and quality management processes Implementing data management practices for data acquisition, storage, integration, and archival … on emerging AWS technologies and trends and evaluate their potential to enhance Pharmanovia's cloud infrastructure. Provide technical guidance and mentorship to junior team members, fostering a culture of learning and innovation within the engineering team About you: Bachelor's or Master's degree in Computer Science, Engineering, or related field Knowledge of ITIL 4 and change management practices More ❯