251 to 275 of 2,082 Machine Learning Jobs in the UK

framework. You will collaborate closely with cross-functional teams, including engineering, product, and security operations. Key Responsibilities: Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts. Analyse large volumes of data to identify trends, patterns, and anomalies associated with … tools to support real-time detection and response to ATO and Send Scam threats. Stay informed about the latest advancements in data science, machine learning, and fraud prevention techniques to ensure state-of-the-art capabilities in ATO and Send Scam. Mentor and guide junior data scientists, fostering ...

Identify and maintain Large Language Model (LLM) training and serving benchmarks that are representative of Google production, industry, and the ML community, using them to identify performance opportunities, drive Accelerated Linear Algebra (XLA) Graphics Processing Unit (GPU)/Triton performance, and guide XLA releases. Engage with Google product teams like … DeepMind to solve their ML model performance problems, such as onboarding new LLM models and products on GPU hardware and enabling LLMs to train and serve efficiently at a very large scale. Run architecture-level simulations on GPU designs and perform roofline analysis to guide internal teams. Analyze performance ...

operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems … deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning ...

detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists, engineers, and senior technical colleagues, you will contribute to scalable ML pipelines, agentic AI systems, production-grade model code, and robust monitoring solutions. You will support delivery across the AI/ML lifecyclefrom data exploration … models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing to the delivery of AI or ML projects and working effectively with technical and business stakeholders Some ...

trust through integrity. Skills and CompetenciesStrong foundation in hydrology, hydraulics, climate science, applied mathematics, data science, computer science, or a related quantitative disciplineUnderstanding of machine learning fundamentals including model training and validation, overfitting, and model evaluationExperience with one or more machine learning or deep learning … computing environments, geographic information systems, structured query language, or data assimilation techniques is desiredBasic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiencyDemonstrates a growing awareness of AI risk management and a commitment to responsible ...

large-scale digital platform. Design, build, and evaluate new search and sort order methodologies to optimise relevance and customer engagement. Develop and apply learning-to-rank and machine learning approaches to improve search outcomes. Run A/B tests, analyse results, and measure performance against key business … metrics including conversion, click-through rate, and revenue impact. Build dashboards and reporting tools to communicate experiment outcomes and recommendations to stakeholders. Deploy machine learning solutions into production environments and support ongoing optimisation. Your Skills & Experience Strong experience using Python and SQL for data science and analytics. Experience ...

accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. The depth of query, content, and user understanding using ML is key to user happiness on the search and discovery journey, and this team owns the models that power it across the Roku platform. What … role? The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices ...

Machine Learning/ML Ops Engineer Outside IR35: £500 - 625 p/d Active SC Clearance Required 4 days a week into East London 6 months initial contract, long term programme The Role We're looking for a Senior MLOps Engineer to build and run the infrastructure that … programme in the defence and security sector. This is a hands-on role, and you'll have real influence over the architecture of the ML platform. What you'll do Design and maintain ML training pipelines, including distributed training at scale Build experiment tracking, model registry and data versioning capability ...

Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language ...

focus on understanding the data, developing features and improving the models, rather than primarily owning production deployment. You'll work toward defined near-term ML targetds, collaborating with the monetization team and game product teams to plan A/B tests. Over the longer term, you'll work with those … teams to translate product and monetization requirements into ML objectives. You'll start by learning the project and its business goals. Within the first three months, we'd expect you to contribute to the training pipeline and investigate features and model issues. By around six months ...

teamGenerative AI Innovation Center What is it? A program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases based on business value. Integrate Generative … internal/external stakeholders and Customers.- Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of AI/ML Solutions into top accounts.- Experience and passion for designing and developing innovative AI/ML solutions that leverage natural language processing, computer vision, statistical learning ...

Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into secure, maintainable solutions. Role Preparing, exploring and validating data for machine learning use cases … Developing and evaluating machine learning models and AI-enabled software components Writing clean, tested and documented code using appropriate engineering tools and practices Supporting model integration, deployment, monitoring and performance improvement Contributing to technical reviews, experiments and structured problem solving Working with experienced engineers and researchers on live ...

strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Essential Requirements: BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline, with 3+ years of hands-on experience in scientific … data science or engineering, AI/ML, computational research within the biopharma and/or technology industry. We will also consider qualified recent PhD graduates (within last 2 years).Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls ...

lead development and deployment of cutting-edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. You will lead the bridge between AI research and real-world impact by architecting scalable, production-grade … reinforce our industry leadership in practical, high-stakes AI safety. What you'll be doing: Leading technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI modelsDesigning and building production-grade ML software, tools, and scalable infrastructureDefining and implementing best practices and standards ...

fulfil your potential with meaningful careers. ROLE SUMMARY:We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams … expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business value. WHAT YOU'LL BE DOING: AI & Machine Learning SolutionsDesign, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused on incident ...

leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing … experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment A/B Testing & Experimentation ...

leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing … experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment A/B Testing & Experimentation ...

Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade AI systems and driving engineering best … practices across complex client engagements. Key Responsibilities Lead the design and delivery of AI, Machine Learning, Agentic AI and RAG-based solutions. Build and deploy production-grade models using Python, PyTorch and modern transformer architectures. Design scalable MLOps frameworks, CI/CD pipelines and model deployment strategies. Develop ...

Technical Lead - AI/ML & Computer Vision | Defence Technology We are seeking an experienced AI/ML Technical Lead to lead the engineering delivery of an advanced computer vision and machine learning platform for a high-profile UK defence technology programme. Working with a specialist AI organisation … leadership position, combining advanced machine learning engineering, architecture and delivery oversight. Key Responsibilities Provide technical leadership to a team of AI/ML and MLOps Engineers. Lead the design, optimisation and deployment of advanced computer vision and deep learning systems. Oversee scalable ML training, inference and deployment ...

1804Category: Data ScienceLocation: India; United KingdomWorkplace: RemoteSchedule: Full timePosted: 2026-10-14Who Are You? An experienced Data scientist, ML engineer or computational scientist specializing in signal processing, ML, and clinical data science to support clinical studies and health research. Technical expertise in integrating biomedical signal analysis, probabilistic modelling … verbal communication skills, including the ability to write technical reports, and concise summaries of complex findings. Proven expertise in advanced analytical research techniques, including machine learning and signal processing, particularly in physiological data, imaging, and high frequency sensor data). Proficient in R or Python, with hands ...

personalized agent experiences. Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution. Qualifications: Knowledge and passion in machine learning algorithms, GenAI, LLMs, and Agentic AIUnderstanding of agent-based modeling, reinforcement learning, and autonomous systems. Experience with large language models (LLMs … their applications in Agentic AI.Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch. Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).Understanding of distributed system design patterns and microservices architecture. Demonstrable Coding and Algorithms skills. Excellent problem-solving ...

experience. Advanced data science and machine learning experience. Strong statistical modelling experience. Strong hands-on Python and SQL skills. Experience with common ML/data science frameworks. Experience developing models for threat detection and anomaly detection . Experience with security risk analytics . Strong feature engineering experience. Experience … accuracy and robustness. Experience with model explainability . Experience with model drift monitoring . Understanding of responsible AI . Experience taking data science/ML use cases into production. Strong analytical communication and stakeholder management skills. Desirable Data science, machine learning or cloud AI certification. CISSP, Security+ ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research … domain such as Computer Science, Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph ...

takes to make Cohere's models succeedPersonal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space as opposed to traditional software program managementManaged projects & programs requiring a strong general business acumen, such as coordinating with Finance on reporting needs … Policy on regulatory compliance matters — the broader your experience beyond ML technical program management, the better!(optional, but preferred) Have technical experience in a hands-on capacity. We don't necessarily need someone with hands on experience training models, but you need to feel comfortable sitting in the same rooms ...