1,501 to 1,525 of 4,979 Machine Learning Jobs in the UK

of Microsoft Fabric, SQL, or Python. Excellent Microsoft Excel skills and its integration with Power BI. Experience in Financial services or Banking preferred. Desirable Skills Knowledge and experience of Machine Learning technologies. Knowledge and experience of AI using Microsoft technologies. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy. More ❯

integration with hardware. Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience: Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning , underwater SLAM , or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, and environmental sensing preferred. Background in regulatory or classification compliance for unmanned More ❯

integration with hardware. Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience: Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning , underwater SLAM , or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, and environmental sensing preferred. Background in regulatory or classification compliance for unmanned More ❯

integration with hardware. Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience: Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning , underwater SLAM , or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, and environmental sensing preferred. Background in regulatory or classification compliance for unmanned More ❯

We are a high-growth Series-B InsurTech start-up using data and machine learning to revolutionize the insurance industry. You will be joining a strong and mission-driven team, working to build a customer-facing product that fundamentally changes the way insurers evaluate risk, enabling them to move from highly manual workflows to digital risk flows. Cytora More ❯

a proactive approach to challenges. Preferred Skills and Abilities : Experience with other cloud platforms and big data technologies. Knowledge of programming languages such as Python and SQL. Familiarity with machine learning concepts and tools. Experience with data governance and management practices. Travel: Ability to travel domestically as needed, no more than 10% of the time Standard and Physical More ❯

structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply parallel processing, Generative AI solutions, and machine learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon's selection efficiently. If you are customer obsessed, driven, tenacious More ❯

relational databases and writing SQL queries Core/Advanced Alteryx certification Understanding of cloud platforms (e.g., Microsoft Azure) Microsoft Power Platform Certifications Demonstrated interest in areas including Gen-AI, Machine Learning, and general data warehousing principals Additional Information As a colleague here at S&W you will have access to benefits that include Competitive salary Private medical insurance More ❯

would be advantageous Our Tech Stack C Computer Vision: C+/20, Qt, Boost, ZeroMQ, ElasticSearch. Web: Java, Node.js, RESTful APIs, JUnit. General: Git, Docker, AWS, Jenkins, GitHub Actions. ML: Python, TensorRT. Our agile teams work with the latest technologies to build solutions for sports like tennis, cricket, football, and more. You'll collaborate on projects like real-time tracking … data warehousing, and broadcast enhancements, all in a culture of openness, learning, and innovation. UK Benefits: Annual Leave: 25 days + 8 public holidays Enhanced Pension Scheme: 5% matching Flexible Working: Hybrid model (2 days in the office per week) Wellness: Complimentary Unmind app, onsite gym (Basingstoke) Exclusive Perks: Access to sporting events and tickets, Sony Group Company discounts More ❯

would be advantageous Our Tech Stack C Computer Vision: C+/20, Qt, Boost, ZeroMQ, ElasticSearch. Web: Java, Node.js, RESTful APIs, JUnit. General: Git, Docker, AWS, Jenkins, GitHub Actions. ML: Python, TensorRT. Our agile teams work with the latest technologies to build solutions for sports like tennis, cricket, football, and more. You'll collaborate on projects like real-time tracking … data warehousing, and broadcast enhancements, all in a culture of openness, learning, and innovation. UK Benefits: Annual Leave: 25 days + 8 public holidays Enhanced Pension Scheme: 5% matching Flexible Working: Hybrid model (2 days in the office per week) Wellness: Complimentary Unmind app, onsite gym (Basingstoke) Exclusive Perks: Access to sporting events and tickets, Sony Group Company discounts More ❯

you will also bring: Strong experience in Data Management and Analytics in Google and AWS platforms. Experience of Information Security and GDPR, privacy, and compliance regulations. Data Modeling and Machine Learning. It would be advantageous to have knowledge in/or be familiar with Application Integration, and AI/Deep Learning Techniques. Excellent analytical, planning, organisational, and technical More ❯

deploy open-source models in cloud environments, optimizing inference and serving costs. Improve and maintain data pipeline reliability and participate in on-call rotations. Debug and fix issues in ML pipelines, even when the cause is obscure. Collaborate with cross-functional teams to integrate AI models into production systems. Clearly articulate the work you've done and the impact you … Meetups and regular team-building remote events: Enjoy occasional meetups and monthly game sessions. Generous Vacation: Take time off when you need it. Growth Opportunities: Continuous professional development and learning support. Dynamic Culture: Be part of a fast-moving, high-impact team. Stock Options: Get equity in our growing startup. Contacts Log In Only registered users can open employer More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning, and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring : AI can evaluate creditworthiness more accurately by analyzing a More ❯

designing unique solutions that scale for our global customers. Whether it is a strategic conversation that needs to be had with customers or a technical discussion with architects and machine learning engineers, we have a wide variety of roles in the team that gives our employees the ability to expand their skills and grow horizontally as well as More ❯

management, build processes, testing, and operations. PREFERRED QUALIFICATIONS Experience with FrontEnd React and/or Nextjs. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Familiarity with machine learning concepts and LLM agents. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯

Control-M product line is BMC's orchestration and automation platform. It helps the world's largest companies to automate time-sensitive, business-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting-edge technologies More ❯

with prospective customers. Analyze conversational UX use cases for feasibility and value creation for the client. Prepare a high-level estimate of effort involved and skills needed from a machine learning perspective for a specific customer engagement. Work closely with product management to provide input and guidance for product roadmap and enhancements Work closely with the delivery teams More ❯

with prospective customers. Analyze conversational UX use cases for feasibility and value creation for the client. Prepare a high-level estimate of effort involved and skills needed from a machine learning perspective for a specific customer engagement. Work closely with product management to provide input and guidance for product roadmap and enhancements Work closely with the delivery teams More ❯

with stakeholders and team members to identify requirements and deliver tailored analytics solutions. Maintain integrity in data reporting and interpretation Evolve and adapt processes within the major client teams, learning from other members of the team and working together to streamline processes within the different workstreams. Work closely with the implementation team to ensure the integrity of analytics data … experience would be a big plus!). Nice-To-Have Skills Experience in product analytics and experimentation. Knowledge of Python. Familiarity with advanced analysis techniques, including statistical methods and ML/AI. Understanding of the wider Google Cloud toolset and capabilities. Experience with Google Dataform or/and dbt. 25 days a year holiday as standard plus Bank Holidays Additional More ❯

Desirable Knowledge of Financial Markets, Particularly Oil, Gas, and Commodities. Business Analysis Skills including requirements gathering, process mapping, and data analysis. Experience with SQL, C#.Net, Git, Python (Panda, Numpy, ML libraries), and data visualization tools such as Power BI or Tableau. Benefits & perks Competitive salary Vitality health insurance and dental cover 38 days of holiday (including bank holidays) Pension scheme … Annual Bluecrest health checks A personal learning & development budget of £5000 Free gym membership Specsavers vouchers Enhanced family leave Cycle to Work scheme Credited Deliveroo dinner account Office massage therapy Freshly served office breakfast twice a week Fully stocked fridge and pantry Social events and a games room Diversity matters We believe in a workplace where our people can More ❯

core ecosystem. Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able More ❯

and Meta ad platforms (e.g. Google Ads, Campaign Manager, GA4, Meta Ads Manager) and an understanding of how to leverage them for performance insight Working knowledge of AI and machine learning tools (e.g. ChatGPT, Google Vertex AI, Claude), and how they can enhance analytics workflows and support innovation INTERVIEW PROCESS For this role, there will be two stages More ❯

Control-M product line is BMC's orchestration and automation platform. It helps the world's largest companies to automate time-sensitive, business-critical workflows. We orchestrate data and machine learning pipelines, supply chains, production lines, financial transactions, and other processes in complex IT environments worldwide. We continuously grow by adding and implementing the most cutting-edge technologies More ❯

Machine Learning Engineer Location: York or Manchester This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data ingestion to model deployment, monitoring, and upgrades within Azure and Databricks environments. The … Skills: Proficiency in Python, Databricks, and Azure. Experience with deployment tools (e.g., AKS, managed endpoints). Strong software engineering background (CI/CD, VCS, TDD). Ability to integrate ML into business workflows. Desirable: Background in quantitative disciplines (math, stats, physics). Experience in finance, insurance, or ecommerce. Familiarity with ML frameworks like TensorFlow, XGBoost, and SKLearn. If this sounds More ❯