526 to 550 of 4,511 Machine Learning Jobs in England

marketing campaigns on platforms such as Google, Meta and Apple. In This Role, You Will Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical … Computer Science, Engineering, Data Science, or equivalent experience. 6+ years of product management experience, ideally in marketing platforms, data products, and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross ...

operate at production scale.Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable.Co‐own with Product and business leaders the metric frameworks and decision workflows … testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit)You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring)You have advanced proficiency in SQL and Python, with ability to write clean ...

complex datasets, they offer an environment where experimentation, collaboration, and technical excellence are encouraged. The Role Design, build and deploy scalable AI and machine learning solutions, taking projects from concept through to production. Develop AI-powered applications using Generative AI, Large Language Models and orchestration frameworks. Write high … solutions. Monitor, evaluate and improve deployed models while ensuring responsible, secure and reliable AI deployment. Your Skills & Experience Strong commercial experience in AI engineering, machine learning engineering or software engineering with applied AI. Proven experience building and deploying Generative AI applications using LLMs and orchestration frameworks. Strong Python ...

with pragmatism and are comfortable operating at pace in an entrepreneurial environment.Your experience and expertise include:A strong understanding of AI and data technologies (machine learning, NLP, computer vision, generative and agentic AI) and their application to operational efficiency.Proven success managing cross-functional AI or digital transformation programmes … Science, Business, or Operations Management (or equivalent).5–10 years’ experience in AI project delivery, digital transformation, or technology-enabled consulting.Certifications in AI/ML, Agile, or Change Management are an advantage.Fluent in English (additional languages a plus).Based ideally in the UK with flexibility to work regionally.A bit more ...

/GCP/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 … 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 in quickly ...

diffusion, flow matching, transformers, and GANs.4+ years of experience in machine learning frameworks (TensorFlow/PyTorch) with a proven history of building ML pipelines in the audio domain.Proficiency in Python, including package development and collaborative coding practices (e.g., open-source contributions).Expertise in performance analysis and optimization … ML systems.Hands-on deployment experience with systems like TensorFlow Lite, ONNX, TVM, and Glow.Strong familiarity with cloud compute environments, ideally AWS, and data ingestion (e.g., TF Data pipelines).Knowledge of source control and project tracking systems (e.g., GitHub, Jira).Preferred ExperienceTrack record of research publications in conferences such as ICASSP ...

knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including proficiency in Python … experience with core data science and ML libraries (e.g., scikit‐learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector ...

individual knowledge might lend itself to fulfilling this role and help us achieve our goals.What you need to have:Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including proficiency in Python … experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector ...

with leading organisations worldwide to support strategic decision-making in complex and evolving markets. Description Design, develop and deploy production-grade data science and machine learning solutions. Own the full delivery lifecycle from concept, data acquisition and modelling through to deployment and operational support. Build robust, scalable … technical stakeholders. Support ongoing enhancement of production systems, ensuring governance, reproducibility and operational resilience. Profile Minimum 7 years' commercial experience in Data Science, Machine Learning or Quantitative Development. Strong Python development skills with experience building production-ready applications. Proven experience delivering analytical solutions into live production environments. Strong ...

science capability that partners with stream-aligned teams. You’ll report into the Data Science Team Manager and lead end‐to‐end DS/ML projects, shape standards, mentor teammates, and ship models into production, balancing quick wins with robust engineering.In particular, we are currently exploring ideas around using … validate marking consistency in a range of qualifications.Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll doPartner with stakeholders across the business to explore high ...

science capability that partners with stream-aligned teams. You’ll report into the Data Science Team Manager and lead end‐to‐end DS/ML projects, shape standards, mentor teammates, and ship models into production, balancing quick wins with robust engineering. In particular, we are currently exploring ideas around using … marking consistency in a range of qualifications. Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll do Partner with stakeholders across the business to explore ...

Data Scientist, London/Oxford hybrid workingAre 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 real … strive to maintain. Our team values trust, respect, collaboration, agility, and quality.About the RoleIn 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 scientific content ...

combines exceptional software engineering fundamentals with hands-on experience delivering enterprise-scale Generative AI solutions into production. Whether your background is software engineering, machine learning, platform engineering or forward deployed engineering, we're interested in hearing from you. Alternative Job Titles We recognise great people often have different … titles. You may currently be working as: AI Technical Lead Staff Software Engineer Staff AI Engineer Staff Machine Learning Engineer Senior Staff Engineer Principal Software Engineer Principal AI Engineer Principal Machine Learning Engineer Lead AI Engineer Lead Software Engineer Engineering Manager AI Engineering Manager Machine ...

consulting partners looking for a Data Scientist to join one of their well-recognised customers in their journey Insights team, where you'll use machine learning, NLP and Generative AI to transform customer interaction data into insights and scalable data science solutions. This is a hands-on role … What you'll be doing Deliver end-to-end data science solutions, from problem definition and feature engineering through to deployment and monitoring. Apply machine learning, NLP and GenAI techniques to customer interaction data, including text classification, summarisation, embeddings and LLM-powered workflows. Build and optimise robust data ...

science can deliver measurable value.Collect, clean, and transform structured and unstructured data from multiple internal and external sources.Develop, test, and deploy predictive models and machine learning algorithms to address business challenges.Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers.Communicate insights and recommendations through clear … scikit‐learn, NumPy, TensorFlow, or PyTorch.Solid understanding of statistical analysis, hypothesis testing, and experimental design.Hands‐on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods).Proficiency with SQL and data warehousing technologies.Ability to translate complex analytical findings into clear ...

changing expectations of customers and regulators. We’re looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. You’ll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure … innovation across Yorkshire Water.Where you fit in:As our Senior Data Scientist, you will:Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologiesRepresent the Data Team by owning and being accountable for Data & AI products as well as helping to steer ...

firms across personal injury and clinical negligence. Fletchers is one of the UK’s largest and fastest-growing consumer law firms. We began using machine learning in real legal work back in 2017 and then went on to build what we think was the first dedicated AI team … Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Experience working with frontend technologies (TypeScript, React, others) 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 ...

changing expectations of customers and regulators. Were looking for a forward-thinking Senior Data Scientist to define and deliver cutting-edge solutions using machine learning, open data, and cloud technologies. Youll be the Product Owner for key initiatives within our Strategic Data Programme, working in Azure and Databricks … across Yorkshire Water. Where you fit in: As our Senior Data Scientist, you will: Define and deliver innovative Data Science solutions using data science, ML/AI, open data, and cloud technologies Represent the Data Team by owning and being accountable for Data & AI products as well as helping ...

existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process. Build and maintain relationships with clients ...

data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering ...

built on our Power BI and Microsoft Fabric analytics platform. Over time, the role will expand into other innovative data solutions, including AI- and machine learning-driven insights and other statistical techniques.This role requires close collaboration with product managers, product owners, data engineering, and other internal and external … embedded analytics capabilities, including personalization.Design, and at times build, analytics content within our Power BI and Microsoft Fabric environment.Identify opportunities to apply AI and machine learning — such as natural language querying, automated insights, or predictive analytics — within the GRC analytics experience.Assist in the upskilling of the Custom Reporting ...

built on our Power BI and Microsoft Fabric analytics platform. Over time, the role will expand into other innovative data solutions, including AI- and machine learning-driven insights and other statistical techniques. This role requires close collaboration with product managers, product owners, data engineering, and other internal … capabilities, including personalization. Design, and at times build, analytics content within our Power BI and Microsoft Fabric environment. Identify opportunities to apply AI and machine learning — such as natural language querying, automated insights, or predictive analytics — within the GRC analytics experience. Assist in the upskilling of the Custom ...

ambiguous business requirements into clear, concise, and actionable technical specifications and user stories for AI and data solutionsKnowledge of how data and analytics, including machine learning and AI, can be strategically leveraged to achieve wider business goals within an industry (e.g. Financial Services, Healthcare, Government & public sector)Experience … with cloud data platforms providers (e.g., AWS, Azure, GCP, Snowflake, Databricks) and their data and AI services (e.g., S3, Azure Data Lake, BigQuery, Azure ML, Vertex AI)Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation and collaborative working. That’s what connects us. That’s what makes ...

calculate the probabilities of sporting outcomes. What skills do you have? A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject Expert understanding of probability and statistics fundamentals Proficiency with Python or other scripting/programming languages (R, Matlab … Expertise in a broad range of data science/machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems. Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear ...

staff. 5. Lead and deliver FSSRs Data & AI strategy as part of the broader DGFS agenda Role Requirements Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud-based technologies and solutions (Azure and Databricks … generative AI technologies including AI agents and their practical applications. Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy. Experience delivering business change and production-ready pipelines through new data ...