251 to 275 of 987 Machine Learning Jobs in the UK excluding London

Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).About the roleYou will help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such … guidance. You understand supervised, unsupervised, Bayesian, and deep learning methods, and can apply them to real-world scientific questions. You have experience with ML infrastructure, reproducible research, Linux or HPC environments, and software or platform development. You communicate clearly with scientific, technical, medical, and business partners, and enjoy working ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

have introduced a brand-new Data Scientist position to support their Head of Analytics in delivering data for successful business solutions. You'll build machine learning, forecasting and identity resolution solutions on Snowflake … Azure DevOps, with models powering web apps, mobile apps and Power BI. Skills & Experience Strong SQL and Python skills. Proficient experience using AI/ML in Snowflake. Hands-on experience building, testing and training ML models, including classification, forecasting and inference. Experience with Power BI, Tableau or other visualisation tools. ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets … ensure seamless downstream data delivery for all enterprise consumers. Key Responsibilities: Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products. Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions. Build and optimise dimensional ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

SaaS organisation developing data and AI-driven products that help businesses unlock greater value from their data. Combining expertise in data engineering, analytics, and machine learning to deliver scalable solutions across a range of industries. This is an opportunity to work within a collaborative, lean engineering team where … data architecture, schema design and data modelling best practices Support CI/CD processes, deployment automation and version-controlled development Integrate AI and machine learning capabilities into production Support the adoption of DataOps best practices Mentor junior engineers and help develop engineering capability across the team Work across ...

required Up to £105,000 DoE + package Active SC or DV Clearance required 2-stage virtual interview process Experience required in AI/ML, LLMs, Python, Customer Consultancy We're supporting a fast-growing, high-performing technical consultancy specialising in AI, data and software solutions across Defence and financial … exposure across the AI engineering stack and working on technically challenging, real-world problems. Responsibilities Deliver AI solutions from POCs through to production Apply ML/AI techniques to complex Defence challenges Provide technical expertise across projects and client engagements Develop robust, maintainable software using strong engineering practices Work across ...

responsibly and at scale. Must-Have Proven Production Experience: You have lived it, breathed it. Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. … communication style. 1-hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. Well explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence ...

useful. Implement appropriate access controls, security and privacy practices to support GDPR and FCA requirements. Prepare the platform for future analytics, AI and machine learning applications. Evaluate tooling and contribute to decisions on the wider data architecture. What we’re looking for Commercial experience delivering and supporting production … financial or regulatory datasets. Streaming technologies such as Kafka and real-time data processing. Building datasets and processes for regulatory reporting. Supporting analytics or machine learning use cases. Experience working within a regulated industry. The package The role offers a £50,000–£75,000 salary, alongside a generous ...

using SQL, Python and Snowflake-native technologies Delivering enterprise-scale cloud migration and data modernisation programmes Creating trusted, AI-ready data products for analytics, machine learning and AI use cases Working with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables Driving best practice across data engineering, CI/… data governance, security, lineage and role-based access controls Exposure to CI/CD, DevOps, Infrastructure-as-Code and Terraform Experience enabling analytics, machine learning and AI-driven data solutions Excellent stakeholder management, communication and leadership skills Interested? If you're a Lead Data Engineer, Snowflake Technical Lead ...

Lead the strategy, development and deployment of AI for technology, including platforms, agents, software development and automation; build reusable services for generative AI, agents, machine learning and advanced analytics; convert AI architecture and standards into safe, consumable platform capabilities; partner broadly to accelerate responsible AI adoption; ensure appropriate … service ownership and accountability; ensure platforms are resilient, secure, scalable, supported and cost-effective; define and monitor reliability, experience and operational measures; drive incident learning, problem management and continuous improvement; manage lifecycle decisions including investment, modernisation, consolidation and retirement. Adoption, value and commercial management: Drive measurable enterprise adoption ...

identify trends, patterns and actionable insights. • Producing reports, presentations and visualisations for clients and internal stakeholders. • Applying statistical analysis, predictive analytics and, where appropriate, machine learning techniques to generate meaningful insights. • Managing analytical projects from requirements gathering through to successful delivery. • Translating complex analysis into commercially relevant recommendations. … directly with clients and stakeholders. • A proactive, solutions-focused and intellectually curious approach. We're also interested in candidates who may have experience with: • Machine learning or NLP techniques. • Tableau or Power BI. • AWS and GitHub. • A postgraduate qualification in a quantitative discipline. Why This Role Stands ...

Knowledge of GxP and compliance frameworks for deploying AI in clinical operations.#LI-GSK*SkillsArtificial Intelligence (AI), Large Language Models (LLMs), Machine Learning (ML), Python (Programming Language), Solution Architecture• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary ...

more of the following areas: Exploit development. Secure software development. Vulnerability research skills. Machine Learning model development and understanding of the ML eco-system. Familiarity with vulnerability research tools and frameworks. Understanding of operating systems, networks and system architecture. Reverse engineering. Nice to Have Experience researching AI, machine learning or large language model security risks. Experience turning research ideas into working prototypes, tools or customer-facing demonstrations. Ability to explain technical findings to both specialist and non-specialist audiences. Location & Clearance This role will be based from Romsey, with an opportunity to visit our client sites ...

testing, documentation, and support processes. Partner with product and business leaders to integrate AI-driven capabilities into Nordson XRT products. Explore opportunities to leverage machine learning, predictive analytics, computer vision, and intelligent automation to improve customer productivity, equipment performance, and operational reliability. Establish governance and best practices … multiple teams. Strong financial, operational, and strategic planning capabilities. Excellent written, verbal, and interpersonal communication skills. Preferred Skills and Qualifications Experience within industrial automation, machine vision, manufacturing technology, inspection systems, scientific instruments, or related technology sectors. Experience leading teams that develop software for hardware-enabled products and complex integrated ...

public health priorities across Wales. Main duties of the job You will work on a wide range of projects, including statistical and simulation modelling, machine learning, predictive analytics and data engineering. The role offers the opportunity to work with modern cloud-based technologies, collaborate with multidisciplinary teams … version control, collaborative development and code review Specialist knowledge and application of statistical and data science methods, such as projections, statistical and simulation modelling, machine learning (supervised and unsupervised, NLP), econometrics, regression and causal inference, including model validation and communicating uncertainty Data management and engineering skills, such ...

Python or similar technologies. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer ETL/Data Warehouse Engineer Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

deploying AI applications that solve genuine business problems and deliver measurable value. From LLM-powered applications and RAG solutions to intelligent automation and machine learning systems, you'll be working on projects that are used in production and trusted by end users. You'll join a collaborative team … Engineering and Software Engineering Hands-on experience building RAG solutions Experience taking AI solutions from proof of concept into production environments Experience delivering AI, Machine Learning or Data-driven solutions in commercial environments Knowledge of cloud platforms such as Azure, AWS or GCP A passion for building solutions ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: Bachelor's degree in Computer Science, Machine … anomaly detection systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

some of the UK's largest and most recognised organisations, you will help design and deliver enterprise-scale data platforms to enabling advanced analytics, machine learning and AI-driven decision making. You will join a growing team of highly skilled engineers building modern data solutions using the Databricks … ready data foundations. This role offers exposure to large-scale transformation programmes, cutting-edge technologies and a collaborative environment that encourages continuous learning, innovation and career progression. Key Responsibilities Design, build and deploy scalable data pipelines using Databricks. Deliver solutions across the full engineering lifecycle, from gathering requirements ...

background, proven leadership capability and the ability to deliver innovative AI solutions at scale. About You * 10+ years' experience in Software Engineering, Data Science, Machine Learning Engineering or a related technical discipline. * 5+ years leading high-performing engineering teams. * Experience delivering enterprise software, AI or SaaS solutions into … list for this role. Keywords: Head of AI Engineering, Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

+ excellent benefitsRequirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subjectStrong knowledge of cybersecurity and attacker techniquesGood understanding of networking and network securityKnowledge of generative … Security/Endpoint Security/Security Tools/Threat Intelligence/Prompt Injection/Adversarial AI/CCNA/Linux Essentials/SOC/Machine Learning/Artificial Intelligence/Computer Science/Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...