1 to 25 of 128 Machine Learning Jobs in Berkshire

Machine Learning Research Engineer - NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting-edge, machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We're committed to creating ...

access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely … good fit if you: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair ...

access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely … good fit if you: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair ...

Specialists, and we're hoping it's you! In this role, you'll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision … problems. The specific focus of this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams ...

products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You'll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity … Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy ...

research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation and noise reduction. Provide technical leadership and mentorship to a small, high-performing engineering team. Bridge research and production — ensuring scalable … latency model deployment. Collaborate cross-functionally with software and product teams to integrate ML systems into live products. Contribute to the company's long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ...

systems that optimise ad selection, campaign performance, and creative personalisation at a global scale. You will work in a highly collaborative environment with ML scientists and software engineers to deliver impactful solutions for the advertising domain. In this role, you will: Design, implement, and maintain large-scale machine … engineering, model training, validation, and deployment. Build real-time and batch data processing systems to support ad targeting, campaign optimisation, and experimentation. Collaborate with ML scientists and software engineers to integrate ML models into production systems and deliver measurable business impact. Develop APIs and services that enable ML-driven advertising ...

partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers. This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded … knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using ...

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 ...

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 ...

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 ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand. The role requires close collaboration with … data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant. Key Responsibilities Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML) Build infrastructure to monitor model performance, data drift, and other key metrics in production Develop and maintain tools ...

organisation. This is a genuinely high-impact role: you'll lead a talented team of 6-8 engineers, set the strategic direction for ML infrastructure, and ensure the business continues to deliver reliable, scalable, and high-performing ML systems that drive real-world impact. Key Responsibilities for Engineering Manager, MLOps … Define and deliver the MLOps roadmap, aligning closely with the wider engineering and data strategy. Provide guidance on architecture, tooling, and best practices for ML pipelines, deployment, monitoring, and incident management. Partner with data science, ML, and product teams to ensure infrastructure supports innovation and business needs. Oversee system reliability ...

within commutable distance of Bristol) Employment Type: Full-time Experience Level: Senior Salary: £80k - £100k About the Role We are seeking an experienced Senior ML & AI Developer to lead the design, development, and deployment of machine-learning and AI-driven solutions. In this role, you will take ownership … direction, and mentor less experienced team members while working closely with engineering and product teams. What You'll Do Design, build, and deploy scalable ML and AI solutions for production environments. Lead model development, evaluation, and optimization across supervised and unsupervised learning use cases. Collaborate with backend and frontend ...

demonstrated through academic study or professional experience Confident using Python and standard machine learning libraries and frameworks A solid understanding of core ML techniques and appropriate use cases Experience delivering ML-driven features such as demand forecasting, optimisation models, or computer vision systems Exposure to working within cloud … statistics for analysing and interpreting complex datasets An interest in developing broader backend or server-side engineering skills to support the deployment of ML components into production systems If you are interested in this role or other Data Scientist opportunities, please contact Gilad Sabari — gilad.sabari@xcede.com ...

true delivery-focused environment. No prior experience with our specific data platform is required. If you're a strong engineer who enjoys learning new tools and solving real business problems with data, we'll get you there. What you'll be doing Designing and building robust, automated data pipelines … Developing back-end logic, APIs, and data services that support analytics and AI use cases Preparing high-quality datasets for dashboards, advanced analytics, and machine learning Collaborating closely with consultants, analysts, and data scientists to deliver end-to-end solutions Contributing to proofs of concept, client roadmaps ...

that focus on their customers, empower their people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations — including AI & Machine Learning, Analytics, and Infra & Database Migration — as well as recognition as a Best Place to Work in both tech and career development. … visualization tools such as Power BI, integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit-learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years ...

experience in developing and deploying AI applications in real-world environments. Nice to Have Experience with other data engineering tools and technologies. Knowledge of Machine Learning/AI and data science concepts. Accountabilities To build and maintain the systems that collect, store, process, and analyse data, such … security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

organisation functions to contribute to achieving the goals of the business. Nice to Have Experience with other data engineering tools and technologies. Knowledge of Machine Learning/AI and data science concepts. Accountabilities To build and maintain the systems that collect, store, process, and analyse data, such … security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

models. Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries. AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes. Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence … workflow design at enterprise scale. Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments. Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

making models. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate with colleagues to implement AI and machine learning models against real-world challenges. Technical Excellence: Apply your software engineering skills to build scalable, reliable solutions. Grow & Share: Contribute … TypeScript. Experience with Palantir technologies: Foundry, Gotham, or similar platforms (preferred) Strong understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. ...

Data Scientist - London - 4 Days Onsite Seeking a data scientist to drive analytical and machine learning initiatives within a fast-growing London team. You will help shape data foundations, build end-to-end solutions, and deliver insights that directly influence strategy. Responsibilities: Develop data pipelines using Python, Pandas … Build and deploy machine learning models with PyTorch Create LLM and workflow integrations using LangChain Consolidate and prepare datasets for analysis and modelling Provide clear, actionable insights to technical and non-technical stakeholders Must of worked within a Banking, Financial Services or Buy Side firm. Apply ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We're looking for an experienced Backend Engineer to work closely with product, design … mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You'll work across the backend stack, real-time data flows ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We're looking for an experienced Full Stack Engineer to work closely with product … design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You'll work across the stack, implementing highly responsive UI components ...