1,001 to 1,025 of 6,478 Machine Learning Jobs in the UK

Technical Lead | Generative AI & Machine Learning 12-Month Contract | £500–£700 per day | Outside IR35 | London 167 Solutions is working with an organisation looking to appoint an experienced AI Technical Lead to lead the design and delivery of production-ready Generative AI and Machine Learning solutions. … engineering, product and business stakeholders to build scalable AI solutions. Key responsibilities will include: Leading the technical design and delivery of Generative AI and Machine Learning solutions Designing enterprise-grade LLM, RAG and AI agent architectures Building and integrating conversational, voice-to-text and speech-based AI solutions ...

guide cutting-edge projects, fostering growth and innovation in a dynamic environment. As a Lead Technical Program Manager in Corporate Technology, AI/ML Data Platforms team, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. Leveraging your … effectively managing the dynamic landscape of GenAI. Experience in organizational operation, Excel data analysis, and organization budgeting & planning Experience or exposure in the AI ML, Data ecosystem space Expertise on the AI and data product lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring Microsoft ...

ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Required Skills and Qualifications Strong commercial experience in Python development … data science and machine learning applications. Proven experience working with Generative AI models , including Large Language Models (LLMs) and AI-powered solutions. Knowledge and hands-on experience with cloud platforms, preferably AWS and/or Microsoft Azure . At least 1 - 2 years' of experience in quantitative analytics ...

future products and platforms. The Technical Challenge The role has a particularly interesting data and analytical dimension. You'll be working alongside concepts including: Machine Learning Data Science Bayesian Methods Gaussian Processes Probability Statistics You don't need to be a Data Scientist, but experience in these areas … Computer Science, Software Engineering, Mathematics, Engineering or a related discipline. The ability to work independently while collaborating with multidisciplinary teams. Ideally, exposure to ML, statistics, Bayesian modelling or probabilistic methods. This is a role for someone who wants technical depth, variety and ownership. You'll be solving genuinely complex problems ...

Agentic Strategy 2030 into working, governed and value-generating systems. The postholder will build and lead the team responsible for AI/ML model development and agentic engineering across the three pillars of the AI strategy; AI for Service Delivery, AI for Digital Products and AI for Productivity. This spans … performing team in a PE-backed environment. MAIN RESPONSIBILITIES AND DUTIESAI & Agentic Engineering Delivery Lead the design, development and production deployment of AI/ML models and agentic systems across the Group, delivering the prioritised use cases on JTC's two-year roadmap (55 use cases selected on value, feasibility ...

seeking a talented Data Scientist to join our Research and Development department, based in Dunfermline. In this role, you will develop, optimise and evaluate machine learning models and computer vision algorithms for retinal imaging, ensuring they are successfully integrated into our products. Collaborating with cross-functional teams … verification and ongoing performance assessment, driving continuous improvements to product quality, accuracy and user value. ESSENTIAL DUTIES AND RESPONSIBILITIES Develop, evaluate and deliver robust machine learning models and analytical methods for retinal imaging applications, ensuring all solutions are thoroughly documented and suitable for product development and clinical research ...

including transactional/EPOS, digital, retailer, social, loyalty etc Delivery Excellence - Experience developing and implementing insight solutions, MarTech/data driven CX solutions or ML/AL solutions. Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions. … with the ability to communicate complex ideas clearly to stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail ...

firm to have a dedicated AI department. Since then, we have been experimenting with a broader range of ML techniques, extending those tools already in use, and productionising new ones through our growing data science & engineering teams. We believe that we are well positioned to leverage Fletchers’ unique legal-medical … building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

digital demands and based on future ready technology stack. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation, Multi-Cloud & Hybrid Cloud Strategies, Cross-Platform Mobile Experiences … cutting-edge integrations. Certified as a Great Place to Work for five consecutive years (2020-2025) and recognized as a Top 20 AI/ML vendor by CIO Insider, Wissen Group has delivered multimillion-dollar projects for over 20 Fortune 500 companies. Wissen Technology delivers exceptional value on mission-critical ...

exciting opportunity for an experienced AI Engineer to work at the forefront of artificial intelligence innovation, developing cutting‐edge solutions that combine machine learning, Generative AI, and advanced data capabilities. You will have the opportunity to influence the direction of AI initiatives from the ground up, working across … applications while collaborating with talented technical teams to deliver solutions that create real business value. Key responsibilities Design, develop, and deploy scalable AI and machine learning solutions, taking projects from concept through to production with a focus on predictive analytics, optimisation, automation, Generative AI, and agentic AI. Build ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the Team In this role, you will play a key part in driving the development … degree in Computer Science, Business Informatics, or a comparable qualification Several years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure) Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies ...

/Azure)Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systemsAbility to build alignment … pipelinesLow-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemonsFamiliarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systemsContributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)Skill ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

organizations. In this role, you will: Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements … required Experience with managing a data platform, including monitoring and managing releases, costs and infrastructure changes Expertise or experience with the deployment of ML pipelines Exposure to trade compliance, supply chain management or a field similarly related to international commerce Experience working with or within the public sector Familiarity using ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the TeamIn this role, you will play a key part in driving the development … completed degree in Computer Science, Business Informatics, or a comparable qualificationSeveral years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure)Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies ...

Role: Data EngineerEvery functional area, in every industry, is on an AI Journey. The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel every large organisation is on an AI journey, the path to value is unclear. … There are three key barriers to deploying AI and machine learning at scale: Building data pipelines that feed both the development and deployment of machine learning modelsImproving consistency, reducing effort and expanding the ability of data scientists to address the growing range of business problems from ...

experienced and passionate NLP Engineer to join our innovative team. In this role, you will leverage your expertise in natural language processing (NLP), machine learning, and data analysis to develop and refine advanced algorithms that extract valuable insights from textual data related to ESG factors. … members to enhance ESG rating methodologies, improve data processing pipelines, and optimize platform performance Stay up-to-date with the latest advancements in NLP, machine learning, and artificial intelligence to ensure the continued innovation of Sensefolio’s ESG data and analytics solutions Conduct research on emerging ESG trends ...

Learning and large language models. Hands on experience across prompt engineering, agent development and evaluation frameworks.* Demonstrated proficiency in Python AI/ML frameworks with the ability to write and review production-grade code across the full stack.* A proven track record architecting and designing scalable solutions that ...

successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing and test data … through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics and machine learning. The successful candidate will play a leading role in defining and delivering this capability roadmap. In summary, the key deliverables for this role are: 1. ...

/CD, and collaborative development. Strong stakeholder management and communication skills, comfortable working with technical and non-technical colleagues. Experience in kubernetes, datadog and ML model deployments are great to have. Interview Process First stage: 30 minute intro and values call with Talent Partner (Video call). Second stage … take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Benefits Private Healthcare including dental and opticians services through Vitality Worldwide travel insurance through ...

advance your career. THE ROLE The right engineer will drive the success of AMD (Advanced Micro Devices) software products, around mathematics and classical machine learning, through innovation & collaboration. You will have exposure to all the latest AMD technologies as part of the team which will deliver our next … products. Your peers will provide a results-oriented and encouraging environment to solve challenging technical problems and grow your career. KEY SKILLS Classical Machine Learning, Data Science, Numerical Algorithms and C/C++ ACADEMIC CREDENTIALS Master's degree or PhD in Mathematics, Statistics, Data Science or equivalent ...

lead, develop, and empower our Data and AI teams. This role balances leadership with technical excellence; you’ll define how data, analytics, machine learning, and generative AI enable the wider business. You’ll work closely with senior stakeholders, translating business objectives into a clear Data and AI strategy … measure the impact of Data and AI initiatives, data quality, model performance, adoption, and team effectiveness Drive best practices across data engineering, analytics, machine learning, data governance, experimentation, model monitoring, and responsible AI Ensure that AI solutions are robust, explainable, compliant, and aligned to business outcomes Support career ...

/CD, and collaborative development. Strong stakeholder management and communication skills, comfortable working with technical and non-technical colleagues. Experience in kubernetes, datadog and ML model deployments are great to have. Interview Process ðFirst stage: 30 minute intro and values call with Talent Partner (Video call).Second stage: 60 minute … take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:ð Private Healthcare including dental and opticians services through Vitality ...

enhancing production workflows across our 2D division, covering Compositing, Paint & Roto, Editorial, and Review Tools. From building robust Python tools to pioneering practical machine learning integrations (such as Switchlight, SAM3, and ComfyUI workflows), you'll help automate complex tasks and streamline shot delivery. Working closely with artist supervisors … grounded, production-focused approach. What you’ll do Develop, test, and maintain artist-friendly Python and PySide tools across our 2D workflows. Integrate practical machine learning solutions into our active pipeline to automate complex tasks and accelerate shot delivery. Collaborate closely with Compositing Supervisors, VFX Supervisors, and Heads ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...