1 to 25 of 153 Machine Learning Jobs in Berkshire

experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The DUE ML Core London team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation … Foundational Models, VLM, Deep Learning 5+ years of experience with hands-on experience in machine learning projects Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale It's Preferred ...

growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring … data pipelines to implementing and validating ML models, you'll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized ...

functional teams across product, engineering, and operations to design, build, and deploy scalable data-driven solutions. You will use your expertise in statistical modelling, machine learning, and data engineering to develop, deploy, and maintain predictive models in production environments. This includes ensuring observability, performance monitoring, and continuous improvement … same, you will be expected to: Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Develop predictive models and machine learning algorithms to optimise business processes, improve customer experience, and drive revenue growth. Collaborate with stakeholders to define project objectives, requirements, and success criteria. ...

Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs (OpenAI, Prompt Engineering, LangChain) Relevant Azure Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data … Architecture Master Data Management Key Words: Azure - AI - Artificial Intelligence - ML - Machine Learning - Consultant - IT Consultancy - SQL - PySpark - Azure AI - AI Search - LLM - OpenAI - Data Science - Databricks - Python - AI Engineer - ML Engineer - AI Consultant - ML Consultant - Data Manipulation - SQL Databases Additional Information At Telefónica Tech, we believe inclusion ...

researchers in the AiTASHA consortium. Your Profile We are looking for a highly skilled Senior Research Associate to conduct internationally leading research in machine learning, with applications to intelligence analysis. This will involve investigating and developing methods that will allow deep learning models to identify subsets of data with the highest potential for reducing uncertainty of model outputs, leveraging and building on existing methods in ML explainability, interpretability, and uncertainty quantification. The successful candidate will have a PhD (or equivalent professional experience and/or qualification) in a field with significant ...

from you! Key Responsibilities Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/… stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using ...

closely with a cross functional team to bring breakthrough AI capabilities directly into the Mural experience. What You'll Do Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features. Build and maintain scalable data pipelines to collect high-quality training and evaluation … 5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks). Experience building data pipelines for model training, evaluation, and continuous improvement. Understanding of retrieval ...

Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas … conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master's/Graduate Degree in Computer Science, Machine ...

SENIOR ML ENGINEER/LONDON/£120,000 BASE SALARY Want to be hands-on with AI, working on greenfield projects for a growing business in the FinTech space? I'm looking for an experienced Machine Learning Engineer to join a growing business who are going more … holiday plus bank holiday Flexible, hybrid working from central London And much more What do we need from you? PyTorch, Python, understanding of the machine learning ecosystem AWS ETL processes Good understanding of vector databases (they use open search) Proven experience using LLMs through APIs Sound like ...

/AI, we assist in protecting the commerce ecosystem, facilitating business growth, and optimizing player experiences. About The Role We are seeking a Senior ML/AI Engineer to lead the design, optimization, and deployment of large-scale automation efforts, utilizing LLMs and generative AI as appropriate. This role sits … organization. Key Responsibilities Automate Workflows: Architect, build, test, and monitor AWS-based workflows to solve critical business problems Microservices and APIs: Develop microservices for ML-driven applications using Python or Java, ensuring scalability and resilience. Service Availability: Guarantee high levels of service availability through participation in an on-call rotation ...

language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect and deliver ML features such as pattern recognition, entity extraction, and intelligent automation. Design scalable data and streaming pipelines capable of handling large, heterogeneous datasets. Build and optimize … systems to support high-quality retrieval. Deliver production-ready APIs, services, and model inference systems. Manage deployment, monitoring, observability, and continual improvement of ML models. Evaluate model performance using offline metrics, A/B tests, latency and cost optimisation. Work closely with product and domain experts to translate requirements into ...

Role Description This is a remote, contract role for an LLM Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development - from research and large-scale model training to production deployment - while mentoring … dependent visa/ILR/British National. Day Rate: £300 (Including VAT), Outside IR35 Roles & Responsibilities Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects - from data collection to training, evaluation, and deployment. Collaborate with ...

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 ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

predictions, abstracting away the complex engineering to speed up innovation. Tecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform, and we're now bringing those same capabilities to every organization in the world. Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner … successfully implement Tecton deployments and build features, in both an advisory and/or hands-on fashion, to enable their high-impact AI/ML use-cases. Responsibilities Collaborate with the Delivery/Engagement Managers, pre-sales, and Account team to understand customer needs and business requirements/objectives Design ...

research with implementation, ensuring scalable, explainable, and robust AI systems across the organisation! You will design and implement next‐generation agentic AI and traditional ML that power critical decisions across the organisation! The key activities in the role are: Architect agentic systems: multi‐step reasoning, autonomous decision‐making, and safe … action flows. Operationalise LLM solutions: evaluation, fine‐tuning, and prompt strategies with measurable outcomes. Engineer APIs and containerised microservices for scalable ML; embed CI/CD, model versioning, and monitoring. Assure interpretability, fairness, and audit readiness; meet compliance standards within the field. Experiment using human‐feedback loops and A/ ...

analytics. • Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases. • Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business … interfaces. • AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products. • Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical ...

with live strategies. Research Enablement & Platform Engineering Develop and optimize the platforms that power quantitative research across the firm. This may include scalable APIs, machine learning and data pipelines, orchestration frameworks, and shared infrastructure that accelerates research and experimentation. Collaborate closely with researchers to create efficient, reliable … enabling performance evaluation, risk monitoring, and investment oversight. Combine strong data processing and visualization skills with scalable infrastructure, and explore opportunities to integrate applied machine learning for deeper insights. Core Trading Systems (London only) Build and maintain the infrastructure supporting the development, testing, and deployment of trading signals ...

maintain reports and dashboards. Ensure data quality, security, and compliance with GDPR and internal policies. Progressing to use Python to build data automation and machine learning solutions Knowledge and Skills Understanding of data governance, ethics, and regulatory compliance. Data storytelling: visualisation, reporting, and stakeholder communication. Interest in analytical … methods: predictive modelling, machine learning, optimisation. Interest in project management and resource planning for data initiatives. Requirements: 104 UCAS points and GCSE English and Maths (grade C or above), or A recognised and equivalent qualification (examinations and experience will be considered) or Completion of a level 3 apprenticeship ...

maintain reports and dashboards. Ensure data quality, security, and compliance with GDPR and internal policies. Progressing to use Python to build data automation and machine learning solutions Knowledge and Skills Understanding of data governance, ethics, and regulatory compliance. Data storytelling: visualisation, reporting, and stakeholder communication. Interest in analytical … methods: predictive modelling, machine learning, optimisation. Interest in project management and resource planning for data initiatives. Requirements: 104 UCAS points and GCSE English and Maths (grade C or above), or A recognised and equivalent qualification (examinations and experience will be considered) or Completion of a level 3 apprenticeship ...

more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy ( Joybuy is JD.com's European full-category online retail brand designed to bring customers ...

looking for a skilled GenAI Engineer to build generative AI solutions on Azure Databricks. Candidates should have experience in software engineering, data science, or machine learning, and be skilled with Mosaic AI, MLFlow and rest of the Databricks ecosystem such as Genie, Databricks One, and Unity Catalog ...

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...