276 to 300 of 1,209 Machine Learning Jobs in the UK

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 ...

Software Engineer LOCATION Reading (Hybrid) TERM Permanent SALARY £55,000 to £90,000 per annum BENEFITS Bonus, Pension, Private Healthcare, Hybrid Working, Flexi-time, Learning & Development Budget, AI Training & Certifications etc. We are a forward-thinking technology organisation driving innovation through artificial intelligence and modern software engineering. As part … hybrid basis. The Software Engineer will ideally have the following attributes: Strong experience in software development with a focus on AI/ML applications A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Software Engineering or similar Strong programming skills in Python and/or Java Experience ...

modern data architectures Data quality, governance and performance optimisation Working within complex or regulated environments Youll also need practical exposure to AI or Machine Learning … initiatives, including areas such as: AWS Bedrock or similar AI services Generative AI and prompt engineering concepts AI-enabled data products or workflows Supporting ML pipelines or working alongside Data Science teams Experience with Terraform, APIs, CI/CD or DataOps practices would be beneficial. Interested? Please apply below. ...

Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within Software … Engineering, AI Engineering, or Machine Learning Engineering roles Strong hands-on Python engineering capability Experience building AI or machine learning solutions within production environments Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with ...

client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align engineering work with research objectives and project goals Requirements … Computer Science or related subject Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience ...

engineering, model evaluation, testing, and monitoring frameworks to ensure reliable and high-quality outputs. * Work with structured and unstructured datasets to support AI and machine learning initiatives. * Establish best practices for AI development, deployment, governance, and ongoing optimisation. * Troubleshoot and resolve issues relating to AI applications, data pipelines … Generative AI and identify opportunities to leverage emerging technologies across the organisation. Profile * The AI Engineer will have proven experience delivering AI and machine learning solutions within small-to-medium-sized enterprises (SMEs), start-ups, or scale-up businesses . * Strong experience working directly with business stakeholders, gathering ...

month contract basis. ASAP start. Outside IR35. Hybrid working - London based. Role * The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions across digital sports media platforms. * Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. * Build … emerging AI technologies, industry trends, and best practices within sports media and entertainment. Profile * The AI Engineer will have strong experience developing and deploying machine learning and generative AI solutions in production environments. * Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar. ...

/Backend Software Engineer (Machine Learning AWS) Remote UK to £90k Are you a data savvy Python Developer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team ...

senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. … management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat ...

CUJO AI® is a leader in artificial intelligence solutions for network service providers. We use machine learning and real-world data to develop cybersecurity, device intelligence, network intelligence, and parental control solutions that make internet connections safer for millions of homes. About the Role As a DirectorPlatform Product … understanding of how they operate, including networking or wireless communications. Familiarity with machine learning algorithms in cloud environments. Background in cloud infrastructure, ML, or networking technologies. Track record of delivering large‐scale, cross‐departmental software projects in enterprise settings. A strong team‐player instinct — you thrive in cross ...

London. This is an excellent opportunity to work on complex, mission-critical programmes within the National Security sector, delivering innovative solutions across AI, machine learning, cyber security and geospatial intelligence. As a Senior Data Engineer, you will join a collaborative Agile environment, playing a key role in designing … processes. What's on Offer Opportunity to work on highly secure, cutting-edge programmes with real-world impact. Exposure to advanced technologies across AI, machine learning, cyber security and data engineering. Structured training and development support to help broaden your technical capabilities. Clear progression opportunities within a growing ...

Senior Software Engineer (ML Systems) Title : Senior Software Engineer (ML Systems) Company : Deep Technology Organisation Location : London Pay : Up to £120,000 Company : A deeply technical organisation is investing heavily in the future of large-scale intelligent systems. They are assembling a small group of exceptional engineers and researchers … deployed. In you, they hope to find a strong systems engineer with experience building or analysing high-performance computing platforms, distributed infrastructure, or machine learning systems. You will work alongside experts across software, infrastructure and research to shape the next generation of large-scale compute systems. There ...

improved. Investigate, troubleshoot, and resolve issues arising within AI-driven automations, including model performance, extraction accuracy, classification outcomes, and production incidents. Monitor and optimise machine learning models, extraction frameworks, and communications classification performance to maximise business value. Lead the implementation of Document Understanding solutions, including classification, extraction, validation … classify, and route large volumes of unstructured communications such as emails, forms, and correspondence. Work closely with business stakeholders to identify opportunities where AI, machine learning, and intelligent automation can deliver measurable efficiencies and service improvements. Develop scalable and maintainable intelligent automation solutions that combine AI capabilities with ...

closely with marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear … engaging manner, making data relatable and actionable. Mentor Junior Team Members: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaboration. What We're Looking For: Our client is seeking a talented individual with a blend of technical expertise and a flair ...

shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients … agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills ...

Science wishes to appoint a Lecturer (Assistant Professor) or Senior Lecturer (Associate Professor) or Reader (Associate Professor) in AI, specifically Natural Language Processing, Reinforcement Learning and/or AI Security/Assurance/Verification, to join our strong and growing Artificial Intelligence and Machine Learning Research Group. … should also exhibit academic leadership and a clear research vision - Additionally, Senior Lecturers and Readers must have current knowledge of modern teaching methodologies, including learning technologies, and a strong research strategy - All roles require excellent organisational and administrative skills Appointments will be made at Grade 8 for Lecturer positions ...

Swindon. This is an exciting opportunity to work on data-driven initiatives that support critical services and decision-making. Key Responsibilities Develop and deploy machine learning and AI models to solve complex business problems Analyse large datasets to generate actionable insights Collaborate with stakeholders across technical … findings clearly to support strategic decisions Key Requirements Proven experience working as a Data Scientist within the public sector Strong expertise in AI and machine learning techniques Proficiency in Python/R and relevant data science libraries Experience with data manipulation, modelling, and visualisation Strong communication skills ...

facilitating malicious social engineering. Our work is highly interdisciplinary, drawing on methods from computational social science, AI safety and security, cognitive and behavioural science, machine learning, and data science. Typical projects include running rigorous human–AI interaction studies, building evaluations for AI models and products, and developing datasets … Experience writing scalable, maintainable Python code Experience in one or more of the following: Data engineering, including data collection, data cleaning, processing, and visualisation ML engineering, including experience training/evaluating models using PyTorch or a similar library Full‐stack web development Knowledge of machine learning sufficient ...

requirements gathering and solution design through to deployment, optimisation and ongoing enhancement. The Role * Design and develop production-grade AI applications using both traditional Machine Learning and Generative AI approaches* Build and deploy RAG systems, LLM-powered applications and agentic workflows* Develop scalable APIs, microservices and cloud-native … MLOps, deployment, governance and model lifecycle management* Collaborate with cross-functional engineering, product and analytics teams What We're Looking For * Strong experience delivering Machine Learning solutions into production* Hands-on experience with LLMs, RAG architectures and agentic AI workflows* Experience with frameworks such as LangChain, LlamaIndex ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant 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 ...

Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution … solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to £110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working ...

Expedia Group is seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. This pivotal role focuses on redefining content generation through innovative AI solutions. Ideal candidates will have extensive experience in Machine Learning, especially in NLP and generative technologies. ...

issues and opportunities. Present findings through clear visualisations and compelling data storytelling that support business decision-making. Explore opportunities to apply predictive analytics and machine learning techniques to generate deeper insights and enhance decision-making. Contribute to improving data quality, consistency and governance across reporting outputs. Support … multiple sources. Experience designing dashboards and visualisations that support self-service reporting and stakeholder decision-making. Exposure to predictive analytics, forecasting, data science or machine learning techniques. Experience with working with AI for agentic use cases or conversational analytics. Familiarity with languages such as Python or other. Experience ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

behaviour at scale, enabling Kantar's products to test scenarios and predict outcomes before they happen. What you'll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...