24 of 24 Remote/Hybrid Machine Learning Jobs in Berkshire

Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical … hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning ...

team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation … little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report ...

will help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing and real-time inference workloads. Key Responsibilities Deploy and manage ML models in production using Azure Machine Learning. Design and maintain Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines … ML artefacts. Implement monitoring, logging, security, and governance controls. Manage data pipelines, storage solutions, data versioning, and lineage tracking. Support real-time inference and scalable ML workloads, including auto-scaling. Collaborate with technical and business stakeholders to optimise model performance and platform reliability. Produce and maintain technical documentation. Skills & Experience ...

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 … practical coding 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 ...

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 ...

Training Transformation Services is modernising what’s possible in the training and preparation of our armed forces. With a real blended approach to learning and using the latest innovative systems and technology, we ensure our service men and women really are prepared for any situation.Role & ResponsibilitiesThe Chief Technology Officer … Understanding of cybersecurity, information assurance and interoperability considerations associated with defence and government technology environments. Familiarity with Synthetic training environmentsDemonstrable understanding of AI/ML, Generative AI, agentic systems, analytics and knowledge-centric architectures (including RAG) and their application to defence training transformation.Data Analytics techniquesLLM and RAG exploitation to optimise ...

situations. The successful applicant will play a hands-on role in shaping, building and deploying business solutions alongside stakeholders and other Data Scientists and ML Engineers. At a glanceHybrid working: This is a hybrid working role, therefore your time will primarily be split between working from home and Bracknell Head … technical best practices, and actively invest in applying AI tools to enhance productivity and workflow efficiency.Partner with multidisciplinary agile teams—including Senior Data Scientists, ML Engineers, Analysts, and Architects—to drive technical product delivery.Internally this role is known as Insight Manager, Data Science. Essential Skills and ExperienceHands-on Expertise: Proficient ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

data quality frameworks.Desirable Skills:Professional certifications in AWS, Azure, GCP, or Data Engineering.Experience within aerospace, defence, manufacturing, or highly regulated industries.Knowledge of AI/ML platforms and MLOps practices.Experience with graph databases and knowledge engineering solutions.Experience implementing data mesh or data fabric architectures.Enterprise Architecture experience.Experience leading large-scale data modernisation ...

Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge of AI/ML platforms and MLOps practices. Experience with graph databases and knowledge engineering solutions. Experience implementing data mesh or data fabric architectures. Enterprise Architecture experience. Experience leading ...

Analytics Customer Insights CRM Billing & Charging BSS/OSS Digital Channels & Self-Service APIs & Systems Integration Cloud Data Platforms (AWS, Azure or GCP) AI, Machine Learning or Advanced Analytics Key Skills Product Strategy Product Roadmaps Scrum Agile Delivery Data Products Data Platforms Customer Data Analytics Product Discovery Backlog ...

architecture, development, integrations, security and operations. You'll work alongside two developers, one focused on full stack delivery and one focused on AI and machine learning features, while still writing code yourself, owning the Azure DevOps and AKS infrastructure, and setting the technical direction as the business works ...

automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.Our team ...

ability to turn data insight into business outcomes. Nice to Have: Knowledge of predictive modelling, pricing, enrichment, or customer analytics. Exposure to machine learning and advanced statistical techniques. Benefits: Hybrid working & flexi-time Annual bonus opportunity. 25 days annual leave rising with service Enhanced pension scheme. Healthcare benefits. ...

helping to build a future that works better for everyone. We move at pace, because what we're building matters - and we're learning as we go. We're proud of the progress we've made, but we're just getting started. Join us at the heart … interactions, operational processes, records, contracts, and data sets to establish whether good customer outcomes are consistently achieved. Leverage advanced technologies such as data analytics, machine learning, and AI to streamline monitoring activities and enhance operational efficiency. Collaborate with LSCR and cross-functional teams to maintain a well-informed ...

Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely ...

adapt to new technologies and methodologies. Desirable Familiarity with NICE guidelines and UK healthcare regulations. Previous editorial or content review experience. Knowledge of AI, machine learning, or natural language processing applications in healthcare. Experience working with AI tools or clinical decision support systems. Understanding of health data standards ...

/PD, disease progression modeling, and clinical trial simulations.Strong understanding and knowledge of Bayesian methodologies, model-based meta-analyses, PBPK, QSP, and AI/ML in Pharmacometrics.Expertise in R, NONMEM or related pharmacometrics software.Are you ready to ‘go beyond’ to create value and make your mark for patients? If this ...

natural curiosity for data Experience using SQL and at least one analytical language such as Python or R A solid understanding of statistics and machine learning fundamentals Experience working with data transformation or ETL tools (DBT is a plus) Confidence explaining technical concepts to non-technical audiences ...

helping to build a future that works better for everyone.We move at pace, because what we’re building matters – and we’re learning as we go. We’re proud of the progress we’ve made, but we’re just getting started.Join our Technology team and push the boundaries … across the organisationWho you areYou bring experience in security architecture within IT, cloud, digital, or network environmentsYou have hands-on exposure to AI/ML systems, data platforms, or AI-enabled product design (even if you’re not a developer or data scientist)You understand AI-specific risks ...

Minimum Experience/Skills Required:Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is requiredMinimum ...

.NET Developer, .NET 10.0 - Social Networking Site - Newbury (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Reading (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

uniquely positioned to deliver this type of service due to:• Global reach in hyperscale public cloud data centres• Transformational technologies such as AI/ML, Analytics, Autonomous Database...• Expertise and delivery of solutions encompassing IaaS, PaaS, and SaaSOracle Communications solutions span the communications industry landscape - from … Work stress endurance.What we will offer you• A competitive salary with exciting benefits• Flexible and remote working so you can do your best work• Learning and development opportunities to advance your career• An Employee Assistance Program to support your mental health• Employee resource groups that champion our diverse communities ...