1 to 25 of 69 Machine Learning Jobs in Slough

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 ...

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 ...

Learning solutions across different business functions; for example; predictive reserving, claims forecasting, capital optimisation, portfolio risk, and operational efficiency, leveraging end-to-end ML architectures spanning supervised, unsupervised, and reinforcement learning. Combine statistical methods with modern ML techniques such as gradient boosting (XGBoost, LightGBM), ensemble methods, deep learning (CNN, RNN, LSTM), and generative models (GAN, VAE) to enhance predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation ...

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 ...

challenges with bold ideas and optimism. To achieve our mission, we focus, among other things, on building novel AI solutions, from GenAI to classical ML, tapping into our rich datasets, to drive growth and increase revenue for our brands. Our users include the newsroom editors, marketing, advertising and product teams … models into production, ensuring scalability, monitoring, and performance. Develop modular and reproducible code with production-grade quality, focusing on MLOps best practices. Collaborate with ML Engineers to optimise model deployment on distributed or cloud platforms like Google Cloud. General Data Science Responsibilities Design and prototype robust machine learning ...

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 ...

Lead Data Scientist, you will play a pivotal role in driving excellence for business optimisation! You will harness advanced analytical techniques and machine learning expertise to extract valuable insights from complex datasets. You will embed sophisticated data science techniques inside critical applications (such as pricing, yield etc). … Python, possibly R for prototyping, SQL, and specialist tools such as Pandas, NumPy, Spark, and Dask; hands-on experience with cloud platforms (Azure ML, AWS) and ML Ops for robust model deployment and automation. CI/CD pipelines experience is advantageous. Ethical and Secure Data Stewardship: Extensive knowledge of data ...

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 ...

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 ...

only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues … example Azure, Databricks, Power BI or Tableau). A collaborative and inclusive leadership approach, with curiosity about emerging technologies such as AI and machine learning and how they can be applied responsibly. Additional information Benefits We're always looking to recognise and reward our employees for the work ...

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 ...

Demonstrated experience in European market expansion: localisation pricing/packaging, partner/channel strategy, and post‐launch iteration Hands-on familiarity with AI/ML in products (model integration and evaluation, human-in-the-loop workflows, monitoring for drift/bias) with responsible AI practices Technical fluency: APIs/SDKs … design Experience with Go-to-Market strategy and full product lifecycle management from concept through delivery and iteration Preferred Qualifications Experience shipping AI/ML features in Europe and navigating public procurement (e.g., NHS, national health authorities) Demonstrated success scaling large healthcare or analytics platforms across multiple European markets Understanding ...

cloud infrastructure like Azure, AWS, or GCP. Preferred Qualifications Experience with LLM training clusters. Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex … teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work ...

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 ...