126 to 150 of 168 Machine Learning Jobs in Berkshire

shaping our technical vision and roadmap. Qualifications Proven experience in software engineering, including proficiency in programming languages like Python. Strong knowledge of AI/ML technologies, data structures, and algorithms Hands-on experience with cloud-based platforms and infrastructure (e.g., AWS, Azure, Google Cloud) Familiarity with renewable energy industry, contract … renewable power. Deep technical growth: You'll work across complex energy-market logic, real-time data, and full-stack engineering, with plenty of steep learning curves along the way. Meaningful upside: Competitive salary plus meaningful equity, with direct influence on the company's trajectory. ...

product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you'll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. Role Overview: Experienced Technical Architect … caching, high-speed data access) Elasticsearch (search and indexing strategies) Other modern data technologies for fast storage and retrieval. Strong knowledge of AI/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes ...

lead the transition from \"zero-shot\" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a \"Full Stack\" Partner: While the backend/data … applications using Foundation Models/LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn ...

Siena Partnership are working with a leading financial services organisation is seeking a Senior Full Stack AI/ML Engineer for an initial 6-month contract. This role focuses on taking AI models built by a third-party provider and turning them into robust, production-grade systems, while helping establish … long-term internal AI/ML engineering capability. What you'll do Deploy and operationalise AI/ML models into live production environments Build observability, monitoring, and continuous evaluation to manage model performance and drift Design and implement CI/CD pipelines for scalable, reproducible model delivery Optimise performance, reliability ...

PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

direct business impact. Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know … memory and tool-calling in production. Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks. Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? Practical AI at Scale: Solve real ...

Expertise •Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector). •Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools. •Expertise in stakeholder management, solution architecture, and project governance. •Understanding of Responsible AI, data ethics, and regulatory compliance. •Excellent communication, presentation … into actionable analytics strategies. •Drive account growth through consultative selling and solutioning. Analytics & Technical Leadership: •Oversee design and delivery of advanced analytics, AI/ML models, and data-driven solutions. •Guide technical teams on architecture, data engineering, and model development best practices. •Ensure compliance with data privacy, security, and regulatory ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

solutions that support decision-making across Defence, Government and Public Sector clients. You'll join a people-first, innovation-driven culture where collaboration, continuous learning, and professional growth are encouraged. Every idea matters. You'll help set technical standards, influence project direction, and contribute to a data engineering community … public-sector data programmes. Familiarity with data standards, compliance, and data-governance frameworks. Experience in data analytics and visualisation. Demonstrable interest in ongoing learning, research, and adopting new technologies. Benefits: Competitive total compensation package ( TC ) Opportunity to support high-impact Defence and Public-Sector programmes Professional development and training ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We're on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users. Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability. Work on ML model development with our team to build robust data pipelines and deploy ML models. Analyse large corpora of data and build real-time recommendation systems. ...

ML Platform Engineering Manager – AI Infrastructure Central London (3 days on-site) | Full-time We're an AI-first tech company based in Central London, creating tools that help people and brands make amazing visual content. Our apps are powered by cutting-edge AI, and we're growing fast. … looking for an ML Platform Engineering Manager to lead the team that builds the systems running our AI models. If you enjoy solving big technical problems and want to help bring AI research to millions of users, we'd love to hear from you. What You'll Do Lead ...

data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants. If you are driven by curiosity and a desire to make a real impact, this is an excellent … building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. The role ...

complex digital transformation and AI sales cycles of projects and engagements with typical budgets of £200k–£2m+ · Create a strong pipeline across AI/ML, Data, Cloud, and Modern Engineering services · Build and manage strategic relationships with C‐level executives, IT Directors, and key decision‐makers across … sales targets in software development, digital transformation, or AI/technology services to mid-market clients · Strong understanding of digital transformation trends, AI/ML technologies, and enterprise digitalisation development · Experience selling to mid-sized organisations (£200k - £2m engagements) and complex, multi-stakeholder sales processes · Demonstrated experience with consultative selling ...

Microsoft best practices and KPMG's MBS vision. Collaborating with AI, Application, and Data Engineering teams to design AI-augmented data solutions leveraging Azure ML, AI Foundry, or OpenAI on Azure. Contributing to the Microsoft Partner ecosystem by staying current on new releases, patterns, and certifications across the Microsoft Data … analytics integrate with Dynamics 365 (F&O and CE), Power Platform, and Copilot Studio. Exposure to AI technologies in the Microsoft ecosystem (e.g., Azure ML, AI Foundry, Copilot 365, OpenAI Service). Desirable: Working understanding of Azure Data Factory, Azure Databricks and Azure Data Lake. Familiarity with Microsoft Purview. Proven ...

Primary Location: London · Canary Wharf HQ (on-site) Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of our batch's \"Top-10 AI agent startups … give you a deeper understanding of our customers' needs and enable you to contribute meaningfully to the core product, including engineering multi-agent system, ML model serving, and more. You'll significantly boost your career prospects by working with a team extremely skilled engineers and taking full ownership of entire ...

data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. UK Citizen with SC (minimum). Desirable OCI and OIC experience. Exposure to ML/AI concepts and ability to support ...

duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Mentor junior engineers and set best practices for AI/ML infrastructure. Influence across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech ...

capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML ...

with Linux, SQL, Docker, AWS/GCP/Azure Lead pilots, rollouts and on-device testing across major retail estates Collaborate with Engineering, ML, and Product to improve reliability + performance Manage incidents from first alert to identifying product-level bugs Translate complex technical issues into clear, actionable guidance … engineer with real ownership experience in live customer environments, ideally within RetailTech (SaaS), PoS systems, edge AI, computer vision, or IoT. You understand: Edge ML pipelines (training, validation, orchestration) Retail IT infrastructure (PoS, SCO, store networks) Integration frameworks (APIs, SDKs, cloud-edge sync) Technical Requirements Strong troubleshooting across: SQL Linux ...

assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world. Now we're building an ML-powered pipeline that can automatically predict material properties (diffuse, roughness, specular, metallic, normals) from photogrammetry input alone - without flash. This is made possible by tapping … asset creation workflows. Work with frontend developers to design and implement high-performance APIs that deliver exceptional user experiences. Integrate with ML infrastructure to orchestrate model workflows, manage job queues, and deliver results to users. This is a high-impact role for someone that loves to define and bring completely ...

.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 ...

Build high‐performance C++ systems for asset processing, OpenGL rendering and mesh‐camera visibility. Create Python services that orchestrate pipelines and talk to internal ML models. Work with ML and data teams to plug new models and formats into production workflows. Take responsibility for Windows builds, packaging and release quality. … real users. Bonus: DCC integrations (e.g. Blender), PBR/material systems, game engines, photogrammetry/computer vision, Windows app development, 3D formats and ML integration. Why you might care Rare mix of hardcore graphics, real‐world capture and AI‐driven workflows. Direct line of sight from your code to assets ...

performance C++ modules for 3D asset processing, OpenGL rendering, and mesh-camera visibility calculations Build Python services for pipeline orchestration, automation, and integration with ML models Cross-Functional Collaboration Work closely with ML researchers to integrate material estimation models into production pipelines Collaborate with the Data Platform team to ensure … processing outputs meet quality requirements for training data Collaborate across Data and ML and Product teams to deliver and integrate 3D format support, 3D transformations, and render systems. Production & Release Own the Windows release cycle for core modules, ensuring stability, performance, and quality Establish best practices for graphics programming, testing ...

client, a successful quantitative investment manager, is looking for a Senior DevOps engineer to join their ML ops team and to implement testing, development, automation tools, and IT infrastructure for the ML platform team and its users. They are looking for a senior with 10+ years of experience and proficient … Terraform. Key Responsibilities: Implement testing, development, automation tools, and IT infrastructures for the ML Platform team and its users. CI/CD tools, handling configuration management. Define and establish processes for testing, development, release, updates, and support in DevOps operations. Drive continuous improvement by building pipelines for integration, development ...

performance. Research emerging data technologies and industry best practices; recommend and drive modernisation of data platforms, especially in big data, cloud, AI/ML-ready environments. Design and implement robust data models, frameworks, standards, and architectural artefacts to support enterprise-wide data initiatives. Collaborate with engineering, analytics, and business teams … data domains. Document data architecture artefacts, maintain the enterprise architecture repository, and support long-term architecture governance. Advise on future technology adoption - including AI, ML, automation, or advanced analytics - to keep data ecosystems future-proof. Key Requirements: Proven experience as a Data Architect in complex, secure or regulated environments (e.g. ...