1 to 25 of 41 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 ...

defence, counter-unmanned aerial systems (C-UAS), multi-domain surveillance, and autonomous platforms. The role involves solving complex real-world perception problems by combining machine learning, computer vision, signal processing, and statistical techniques to improve the ability of systems to detect, classify, track, and understand objects in challenging … solution is not immediately known, developing structured experiments and evidence-based approaches Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate machine learning development Analyse model performance, identify failure modes, and develop innovative solutions to improve real-world capability Develop tools and processes to improve automation ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

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 ...

Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest … Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science You are excited to work with multiple levels and teams across organizations (Engineering, Product ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

safely and efficiently into production. This is a key operational, technical and leadership role at the intersection of science, software engineering, high-performance computing, machine learning and 24/7 operational delivery. You will provide technical and people leadership for the team responsible for ensuring that ECMWF … dissemination steps are aligned and robust. It oversees workflows used to produce operational weather forecasts from medium‐range to seasonal timescales, as well as machine‐learning‐enabled forecasts, Copernicus climate reanalyses and atmospheric composition services and Destination Earth Digital Twins. It also monitors the performance of operational suites ...

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 ...

their coupling with the atmosphere, including links with atmospheric composition. It works closely with colleagues specialising in atmospheric composition, data assimilation, atmospheric modelling, machine learning, evaluation and operations, as well as with Member and Co-operating States and external partners, to support the delivery of world-leading Earth … related international greenhouse-gas communities, together with knowledge of WMO G3W and its objectives Desirable experience and knowledge Experience with AI or machine-learning methods for Earth-system prediction, particularly for land-surface or carbon-cycle applications Experience developing scientific robust software and conducting large numerical experiments ...

expertise, our Training Transformation Services is modernising whats 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 & Responsibilities … cybersecurity, information assurance and interoperability considerations associated with defence and government technology environments.?Familiarity with Synthetic training environments Demonstrable understanding of AI/ML, Generative AI, agentic systems, analytics and knowledge-centric architectures (including RAG) and their application to defence training transformation. Data Analytics techniques LLM and RAG exploitation ...

working within Agile delivery environments Desirable Experience: Cloud certifications (Azure, AWS, or GCP) TOGAF, DAMA CDMP, or Data Engineering certifications Experience with AI/ML platforms or MLOps Exposure to Data Mesh or Data Fabric architectures Enterprise Architecture experience Experience within Aerospace, Defence, Manufacturing, or other highly regulated industries ...

analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks ...

analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks ...

development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build LLM-powered features, agentic workflows, and MCP (Model Context Protocol) integrations to a production standard. Work directly ...

journeys. Working with both structured and unstructured data, you will uncover insights and identify opportunities to enhance customer and operational outcomes. You will combine machine learning, NLP, and Generative AI techniques to extract value from text, develop predictive and analytical models, and take ownership of deploying data science ...

systems integration Event-driven and service-oriented architecture Data platforms, analytics and business intelligence Data governance, quality, lineage and master data Artificial intelligence, machine learning and automation Identity and access management Cybersecurity, privacy and compliance DevOps, DevSecOps and platform engineering Containers, Kubernetes and infrastructure as code Enterprise service ...

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

learn and work across the wider platform. Desirable Databricks/PySpark NoSQL/Cosmos DB Infrastructure as Code/DevOps automation AI/ML data integration Automotive or insurance industry experience If this sounds of interest please apply with an up to date version of your CV for immediate consideration. ...

platform services. Experience supporting classified or secure government environments. Strong understanding of hybrid cloud and on-premises infrastructure. Knowledge of Digital Twin, AI, and Machine Learning platforms. Experience with Kubernetes and OpenShift platform administration and architecture. Experience with multi‐cloud environments. Strong knowledge of DevOps, DevSecOps, Platform Engineering ...

object detection Investigate challenging technical problems through structured experiments and evidence-based approaches Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate ML development Analyse model performance, identify failure modes, and develop innovative solutions to improve real-world capability Develop tools and processes to improve automation, repeatability … efficiency across the ML lifecycle Provide technical guidance and mentoring to other engineers Support integration, testing, and deployment of algorithms into real-time video processing systems Produce technical documentation, reports, and presentations to support engineering decisions What You'll Need Essential: Degree or equivalent experience in Computer Science, AI, Engineering ...

find enablement opportunities to expand adoption and utilization of ACS AI solutions.* Assist customers in understanding the strategic impact of integrating AI/ML into their workflows.* Design and implement AI proof of concepts to showcase the capabilities and potential impact on solving customer challenges.* Develop and deliver training sessions … Solution Engineering and software experience.* Proven experience in a similar role, preferably in AI software sales or solutions engineering.* In-depth knowledge of AI, machine learning, and data science concepts.* Strong presentation and communication skills, with the ability to convey technical concepts to diverse audiences.* Strong proficiency with ...

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 ...

projects. About You You’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions ...