3,401 to 3,425 of 7,385 Machine Learning Jobs in the UK

NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. Experience using Machine Learning and building solutions. Experience working with systems (e.g., Linux, Unix, Windows). About the job gTech’s Professional Services team takes a creative ...

mission to accelerate the energy transition across Europe. They're building the infrastructure and intelligence layer that makes renewable energy work at scale — and ML is at the heart of it. If you want your work to matter, this is the place. As an ML Engineer, you'll build, train … grid balanced. The data is rich — weather, sensors, market prices, consumption patterns — and the problems are genuinely hard. This isn't big tech ML for ads or engagement metrics. It's applied machine learning for the climate crisis. You'll work with a team that cares deeply about ...

clientsDesign and configuration of Active Network Management schemes on platforms such as SGS and ZIVCurtailment analysis for ANM schemesDesign AI and ML oriented software solutions to automate power systems analysis processesArchitect technical and financial modelling solutions for our power generation clients for revenue maximisation though technical power input and output … place where you grow.what we'll offer you:We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work ...

interested in depth of experience rather than simply familiarity with a particular tool. If you’re a Software Engineer, AI Engineer, ML Engineer or Applied AI Engineer and this sounds like the kind of work you’ve been doing, I’d be interested in hearing from you. About Accenture … well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best WorkplacesTM.Join Accenture to work at the heart ...

interested in depth of experience rather than simply familiarity with a particular tool. If you’re a Software Engineer, AI Engineer, ML Engineer or Applied AI Engineer and this sounds like the kind of work you’ve been doing, I’d be interested in hearing from you. About Accenture … well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best WorkplacesTM.Join Accenture to work at the heart ...

engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise ...

accelerate the future of AI-led life sciences innovation? So do we. At BioXcelerate AI, we combine specialist health data science, advanced statistics, machine learning, bioinformatics and software engineering to help life sciences organisations solve complex research and development challenges and generate actionable insight at speed. Through platforms ...

engineers who bring deep domain knowledge in their respective areas. Our geographically dispersed team values positivity and inclusivity in the workplace, clear communication, collaborative learning, and guided mentorship. What You Will Be Doing: Research emerging attacker techniques and turn them into shipped protections. Study real-world tradecraft across … with a real user base. Conference speaking experience (e.g., Black Hat, DEF CON, CODE BLUE, Virus Bulletin) or an established publication record. Experience applying machine learning to endpoint security problems. Familiarity with the Elastic Stack (Elasticsearch, Kibana) and Elastic Security. Additional Information - We Take Care of Our People ...

technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $10B+ annual investment in technology enables us to hire people to create innovative solutions that will are transforming ...

making platforms measurably better, you’ll find meaningful impact and growth here. As a Senior Lead Software Engineer at JPMorganChase within the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. ...

looking for robust OOP programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and Containers would be standout.Crucially we need Engineers who have taken ownership in projects. What you’ve individually contributed ...

record of architecting modern platforms using APIs, EAI, ETL and web services. Experience in solution or enterprise architecture, including designing and delivering production AI, machine learning or large-scale distributed systems. Hands-on expertise with Large Language Models, retrieval-augmented generation, agentic and orchestration frameworks, and vector databases. ...

obsession for data driven quality. Desirable/nice-to-have Rust experience alongside C++ and Python. Slurm or other cluster scheduler expertise. Familiarity with ML/Deep Learning frameworks. Prior finance or market‐data experience, including low‐level market connectivity. GPU programming experience. Historical network/packet processing (telco ...

common Data Science libraries. Advanced SQL skills and experience working with large or varied datasets. Commercial experience using Snowflake. A good grounding in statistics, machine learning and model validation. Experience applying forecasting, classification, clustering, regression or optimisation in a business environment. Experience handling messy real-world data ...

record of architecting modern platforms using APIs, EAI, ETL and web services. Experience in solution or enterprise architecture, including designing and delivering production AI, machine learning or large-scale distributed systems. Hands-on expertise with Large Language Models, retrieval-augmented generation, agentic and orchestration frameworks, and vector databases. ...

ability to translate requirements into practical operating models.Experience leading high-performing Data Science, Analytics, and Data Engineering teams, delivering measurable business impact.Knowledge of AI, Machine Learning, and Advanced Analytics delivery, including governance, operationalisation, and value measurement.Strong stakeholder management and executive communication skills, with the ability to influence senior ...

managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational ...

require all candidates to be willing to attain an eDV clearance.In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical ...

experience building complex indices that drive positive change in the world.We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools.We are backed by some of the world’s leading tech investors, including ...

shift. As a Workday Extend Associate Manager you will have the opportunity to: Shape solutions that make use of Workday's native AI and machine-learning capabilities to drive smarter Extend processes Apply Accenture's GenAI-enabled accelerators to speed up design, testing and documentation Help clients identify ...

reporting/analytic tools and environments, data structures and hands-on SQL coding- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software- Experience working directly with business stakeholders to translate between data and business needs- Experience leading and influencing the BI strategy ...

translate requirements into practical operating models. Experience leading high-performing Data Science, Analytics, and Data Engineering teams, delivering measurable business impact. Knowledge of AI, Machine Learning, and Advanced Analytics delivery, including governance, operationalisation, and value measurement. Strong stakeholder management and executive communication skills, with the ability to influence ...

tooling Proficiency with design and prototyping tools such as Figma for collaborating on user interface and experience requirements Experience with traditional artificial intelligence and machine learning techniques, such as predictive analysis Prior experience serving as an Application Owner or in an equivalent application governance and lifecycle management role ...

related field, or equivalent practical experience.Desirable:Experience with financial services or other regulated industries.Contributions to open-source projects.Experience with MLOps and the deployment of machine learning models.What we’ll provide youThis is a unique role that will put you in the position to be part ...

serve them. Design and develop “Scopes of Work” by breaking down customer challenges into a project plan. Work closely with forward‐deployed Software and Machine learning Engineers to develop agents in the initial post‐sales stage. Work with AEs and PMs to identify customer‐specific feature requests. Drive ...