12 of 12 Remote/Hybrid Machine Learning Jobs in Slough

with large, complex datasets to support AI-driven products and insights Assist with feature engineering, model experimentation, and performance optimisation Contribute to data and ML pipelines in cloud-based environments Work with structured and semi-structured data using SQL Support the deployment and monitoring of models in production environments Collaborate … years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) Strong Python skills for ML and data processing Experience working with SQL and structured datasets Familiarity with cloud platforms and modern data stacks A solid understanding of machine learning ...

recruit an Information Scientist who will play a key role in advancing AI-enabled content analytics. In this position, you will apply NLP, machine learning, and information science methodologies to extract insights from biomedical literature, enhance R&D decision-making, and optimise scientific workflows. This is an exciting … implement AI-driven workflows for literature mining, summarisation, and trend analysis. Maintain and develop external information endpoints aligned with FAIR data principles. Apply machine learning and LLMs to improve information retrieval and automate content classification. Collaborate with cross-functional teams and act as a subject matter expert ...

applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They're building an ML-first platform where research doesn't sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They … looking for an ML Engineer who: Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.) Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment Has worked with biological or molecular data in some form... proteins, molecules ...

autonomy. Responsibilities Modelling and Forecasting Develop time‐series models for generation, consumption, and market price forecasting. Build probabilistic and scenario‐based forecasting capabilities. Apply machine learning to optimise matching, pairing, and routing algorithms within the P2P marketplace. Trading and Optimisation Intelligence Create algorithms that optimise buyer–seller matching … recommendations. Nice to Have Experience with marketplace or matching algorithms. Exposure to flexibility markets, virtual power plants, or reconciliation/settlement processes. Experience with ML deployment frameworks (MLflow, Vertex AI, SageMaker). Knowledge of optimisation libraries such as Gurobi, OR‐Tools, or Pyomo. ...

Their platform captures operational knowledge and turns it into production grade systems that AI can interact with safely and reliably. This is not applied machine learning, not foundation model development, and not experimental agent playgrounds. The work is focused on the engineering around AI: evaluation, control, reliability ...

accounting concepts Previous use or experience with accounting software (Xero, Sage, Oracle NetSuite, SAP) Experience producing technical content (blogs, documentation, tutorials) Not Required: Machine learning research experience. We deploy models, we do not build them. Results You will be measured on outcomes that matter: Build and maintain GenFinance … exceptional candidates who also demonstrate exceptional technical English speaking ability. Benefits £35,000 to £55,000 base salary (dependent on experience) £1,500 annual learning and development stipend to focus on your interests in the field Pension contributions Free gym membership Quality equipment (Mac, etc.) Various discounts and perks ...

client projects. Deliver billable strategic consultancy for clients where required. Technical and Market Insight Maintain a strong understanding of relevant technologies, including AI and machine learning applications, and digital production processes. Use Google Analytics and other tools to analyse data, inform strategic decisions, and demonstrate ROI. Collaboration ...

rewarding career. We work with a broad range of clients including the majority of the Tier One Investment Banks, SME tech companies in the machine learning/AI spaces, ESG investors and traditional asset managers so successful candidates will acquire a very broad knowledge base across all aspects ...

world-class scientists and founders to shape how a new category of technology is commercialised. Key words: VRS9347DJ, Sales, Business Development, commercial, Ai, software, machine learning, digital chemistry, or automation, chemical engineering, process engineering. chemistry, engineer, London, south east, hybrid. If you've ever looked at industrial chemistry ...

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 ...

sequential prediction. Translate research innovations into robust, production-quality systems that operate at scale and influence commercial outcomes. Collaborate with cross-functional teams, from ML engineers to product leaders to integrate models into forecasting and optimisation pipelines. Conduct rigorous benchmarking and experimentation, applying best practices from academic research to real … network models applied to time series, dynamic forecasting, and complex sequential tasks. Industry experience implementing and refining forecasting systems in production. Proficiency in modern ML frameworks such as PyTorch, TensorFlow, or JAX. A track record of applying research results to real-world, high-impact problems. Highly Valued: Experience with real ...

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 ...