1 to 25 of 44 Remote/Hybrid Machine Learning Jobs in Berkshire

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 ...

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 ...

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 ...

relevant backgrounds may include: Fixed Income/Credit Quantitative Analyst Fixed Income/Credit Quantitative Developer Fixed Income/Credit Data Engineer/Machine Learning SME Fixed Income/Credit Research Analyst Fixed Income/Credit Portfolio Manager Investment Technology, or Front Office Strategy Specialist within a Hedge … technologies. Key Requirements Strong understanding of Fixed Income and/or Credit products and investment processes. Hands-on exposure to AI, machine learning, data engineering or workflow automation. Strong analytical, numerical and problem-solving capabilities. Experience building or working with custom GPTs, AI assistants, connectors or AI-enabled ...

bids, and mentor a high-innovation team of junior engineers. The Toolkit The Sweet Spot: Proven experience implementing hybrid algorithms (classical math + ML) for state estimation, anomaly detection, or information fusion. The Core Math: Deep familiarity with time/frequency domains, Fourier transforms, digital sampling, and filter design. … Frameworks: Practical knowledge of EKF, UKF, Lie Group UKF, or Physics-Informed ML is highly advantageous. The Stack: Fluency across C++, MATLAB/Mathematica, and Python. The Background: Typically a Bachelors, Masters, or PhD in a relevant STEM discipline, paired with few years of recent experience ...

Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity, we foster a culture of collaboration, innovation, continuous learning, and career growth. About the Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build … extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability ...

reduce reliance on manual processes across the security function. Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments. The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language ...

reduce reliance on manual processes across the security function. Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments. The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language ...

help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data … encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment ...

system design, tech stack decisions, and platform boundaries, optimizing for scalability, performance, and maintainability. The tech stack includes Golang, React/TypeScript, Python, various ML models, MySQL, F#, Docker images deployed on a Kubernetes cluster in our cloud infrastructure (GCS, AWS, or Azure), and GitHub CI/CD. Bachelor ...

Full Stack Developer to help design and deliver the next generation of AI-powered applications for enterprise customers. This isn’t a traditional Machine Learning or Data Science role. They need a strong full-stack software engineer first — someone who knows how to build secure, scalable, production-grade ...

Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud, with a strong understanding of how platforms like Gemini Enterprise can drive business value.· Strong understanding of cloud security best practices ...

projects. About You You’ll be an experienced data professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions ...

best practices to support the end-to-end machine learning lifecycle. Collaborate with Data Engineering and Data Science teams to operationalize ML models through CI/CD, automated testing, deployment, and monitoring capabilities. Ensure robust security, compliance, and governance controls across the platform, including access management, data protection ...

home hybrid model, you'll join colleagues in the Reigate or Cambridge office once a week. About you: You have experience in AI/ML or GenAI cost management, including token based consumption models, together with practical experience of FinOps or cloud financial management You have experience with token usage ...

discrete industriesProficiency in data analytics tools and programming languages such as Python, R, and SQL.Familiarity with advanced analytics techniques including predictive modeling and machine learning.ABOUT HONEYWELL TECHNOLOGIESHoneywell Technologies International Inc. invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security ...

discrete industriesProficiency in data analytics tools and programming languages such as Python, R, and SQL.Familiarity with advanced analytics techniques including predictive modeling and machine learning. ABOUT HONEYWELL TECHNOLOGIESHoneywell Technologies International Inc. invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security ...

solve one of the biggest recruitment challenges whilst ensuring every candidate has a fair and positive experience. Working closely with our AI/ML and Occupational Psychologist teams, you’ll shape how hiring teams understand talent and make their most important decisions. Key responsibilities: Own a key product area, working ...

ESRI’s GIS product suite and/or other geospatial technology. Experience with Systems Engineering An interest in data-engineering or data-science e.g. ML/DL/AI/Statistics Humanitarian knowledge/experience. What does it mean to be part of the MapAction team? Being part of MapAction ...

helping to build a future that works better for everyone.We move at pace, because what we’re building matters – and we’re learning as we go. We’re proud of the progress we’ve made, but we’re just getting started.Join us at the heart of our business … business needs.Demonstrable knowledge of SQL and SAS skills, with experience applying statistical analysis to generate actionable insights.Experienced in using Python for analytics, modelling, or machine learning applications.Experience with Alteryx and Snowflake would be beneficial but is not essential.Experience using data visualisation tools such as Qlik, Power ...

frameworks (e.g., PLEXOS, TIMES, PyPSA, EnergyPLAN, or similar) Familiarity with scenario modelling, forecasting, and optimization techniques Analytics and Modelling Strong understanding of statistical modelling, machine learning, or optimization approaches Experience enabling data science workflows (e.g., notebooks, MLOps) Knowledge of Python, R, or similar for modelling environments Soft Skills ...

/7 trading teams. • Developing and maintaining models and algorithms to accurately forecast gas and power demand for millions of British Gas customers, using ML and AI techniques where appropriate. • Producing and utilising analytical tools to constantly monitor and visualise the quality of forecasting models • Developing deep understanding of customer ...

/7 trading teams. Developing and maintaining models and algorithms to accurately forecast gas and power demand for millions of British Gas customers, using ML and AI techniques where appropriate. Producing and utilising analytical tools to constantly monitor and visualise the quality of forecasting models Developing deep understanding of customer ...

Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely ...