1 to 25 of 126 Machine Learning Jobs in Berkshire

role in shaping Centrica's AI engineering capability, driving best practice across software engineering and MLOps, and supporting the successful transition of machine learning models and AI solutions from experimentation into production. This is an exciting opportunity for a technically strong leader who enjoys developing people while remaining … while contributing hands-on to code, architecture, and technical decision-making. Support data scientists with robust model deployment, monitoring, maintenance, and product ionisation of machine learning and AI solutions. Collaborate with data scientists, product owners, business stakeholders, and data engineers to translate business requirements into practical AI solutions ...

could contribute to a variety of exciting projects, including: Trend analysis, clustering, data fusion and data engineering. Developing advanced inputs for transport models. Applying machine learning and AI-driven approaches to solve complex challenges. Building predictive models using both machine learning techniques and established discrete choice … bring fresh thinking, strong analytical skills and a passion for solving complex problems with data. Whether your background is in data science, statistics, machine learning, AI, data engineering, econometrics or transport modelling, you'll have the opportunity to make a tangible impact while continuing to develop your ...

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 ...

advanced analytics and AI use cases Integrate Databricks with Azure Machine Learning, Azure OpenAI and wider Azure data services Support AI/ML and agentic AI workloads including RAG, LLMs and autonomous agent architectures Develop analytical solutions incorporating machine learning, NLP, graph analytics, clustering, entity resolution … learning workloads Graph databases and graph analytics including Neo4j or Cosmos DB Gremlin API Power BI and analytical visualisation Feature stores and ML data pipelines NLP, clustering, entity resolution and causal inference Responsible AI and AI governance frameworks Previous experience within Defence, Government, National Security or similarly regulated ...

advanced analytics and AI use cases Integrate Databricks with Azure Machine Learning, Azure OpenAI and wider Azure data services Support AI/ML and agentic AI workloads including RAG, LLMs and autonomous agent architectures Develop analytical solutions incorporating machine learning, NLP, graph analytics, clustering, entity resolution … learning workloads Graph databases and graph analytics including Neo4j or Cosmos DB Gremlin API Power BI and analytical visualisation Feature stores and ML data pipelines NLP, clustering, entity resolution and causal inference Responsible AI and AI governance frameworks Previous experience within Defence, Government, National Security or similarly regulated ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

role for someone who wants their models used, not admired. You will solve complex customer and commercial problems through advanced analytics, experimentation and machine learning, working with rich customer, booking, behavioural, marketing and digital data. The problem space is broad: segmentation, propensity, personalisation, customer value, retention, forecasting … answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments ...

shaping, developing, and continuously improving our Data and AI apprenticeship programmes. As part of the Product team, you will help create high-quality learning experiences that help learners build the skills, knowledge, and behaviours they need to succeed in a rapidly evolving data and AI landscape. You will work … areas of development. This may include core apprenticeship programmes, programme variants, and tailored client solutions. Your work could involve developing new curriculum, enhancing existing learning journeys, adapting content for different learner or client contexts, and supporting major programme builds. A key focus of the role will be creating ...

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 ...

applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with … Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies ...

Product (MVP) and enterprise-scale deployment. Technical Innovation & Experimentation: Drive work within the Ideation pillar by prototyping, testing, and evaluating novel GenAI concepts and machine learning techniques to determine scalability and business value. Senior Collaboration & Governance: Work closely with the Chief Data Scientist to align technical strategy, receive … with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large ...

Product (MVP) and enterprise-scale deployment. Technical Innovation & Experimentation: Drive work within the Ideation pillar by prototyping, testing, and evaluating novel GenAI concepts and machine learning techniques to determine scalability and business value. Senior Collaboration & Governance: Work closely with the Chief Data Scientist to align technical strategy, receive … with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large ...

Sciences customers across European markets Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space Build and design … validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics Strong problem-solving and communication skills, with a track record of collaborating effectively across ...

computational approaches to solve complex biological challenges. In this role, you will collaborate with scientists across Crop Protection Research, developing and deploying bioinformatics tools, machine learning models, and data workflows that generate insights from diverse biological datasets—directly supporting the development of safer, more sustainable agricultural solutions. … Guide scientists on data quality, integrity, and suitability for analysis. Collaborate across the Bioscience Digital team and wider R&D data community to share learning and drive innovation. Monitor external scientific and computational developments and identify opportunities for application within Bioscience. QualificationsMSc/PhD in computational biology, data science ...

training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during … helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product ...

needs. You will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching … cross-functional leaders, shaping roadmaps, translating technical insights, and aligning teams on customer and business impact. Requirements Significant experience in data science, AI/ML, NLP, information retrieval, statistics, or a related quantitative field, or equivalent practical experience. Excellent technical expertise across modern data science methods, including machine learning ...

deliver scalable, impactful solutions that shape the future of insurance. You ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines, key elements that have … infrastructure as Code (IaC) deployment industry-best practices. Hands-on experience in Data Quality and Data Governance techniques. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Work Your Way: Enjoy full flexibility work from home, the office ...

systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading , developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical … datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage. This is the a unique chance to deploy ML models into systematic trading, and ensure your code and work directly generates profit. #J-18808-Ljbffr ...

defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. … radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular ...

decisions. Succeed Together. We have each other's backs. The Role This is applied data science. You will use advanced analytics and machine learning to understand our customers better and solve problems that genuinely matter to the business, working with customer, booking, digital, marketing and behavioural data. … into structured analytical problems and testable hypotheses. Explore complex behavioural and transactional data to find what others have missed. Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design ...

translate novel techniques into practical ASP/PNT solutions. Improve the robustness of traditional algorithms for challenging, real-world data and systems. Use machine learning where it adds value, particularly for non-linear dynamics and complex system behaviour. Support proposals, bids, and project delivery for research and development … comfortable applying hybrid white-box and black-box approaches to real engineering problems. Essential experience Experience implementing hybrid algorithms that combine classical and ML-based approaches. Applied experience in one or more of the following: feature extraction, data fusion, target tracking, image segmentation, image matching, sensor calibration, state estimation, anomaly ...

while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using … across model development or strategy Strong SQL skills alongside Python or SAS (Python preferred) Experience with statistical modelling techniques such as logistic regression or machine learning Excellent communication skills with the ability to present to clients and senior stakeholders THE BENEFITS Up to £75,000 salary Hybrid working ...

within your specialist market. Manage candidates throughout the recruitment process, from initial approach through to offer and onboarding. Develop strong market knowledge across AI, machine learning, software engineering and adjacent technology disciplines. Use a combination of LinkedIn, headhunting, referrals, networking and creative sourcing strategies to identify hard … Looking For 2–5 years’ recruitment experience , with strong tenure and a proven track record of delivering consistently. Experience recruiting within AI, Machine Learning, Data, Software Engineering or another closely adjacent technology market . Strong delivery capability, with genuine confidence in sourcing and headhunting. Experience recruiting for roles ...

experts, to ensure integration of data science insights into clinical development programs. Driving innovation in the use of data science tools and techniques, including machine learning and predictive analytics, to enhance the efficiency and effectiveness of clinical trials. Providing strategic direction and oversight for data management and analysis … experience managing teams of data scientists and guiding data science initiatives in a clinical or biopharmaceutical setting. Expertise in data analysis, statistical modeling, and machine learning techniques, with proficiency in relevant software and programming languages. Excellent communication and collaboration skills, with the ability to convey complex data insights ...