14 of 14 Remote/Hybrid Machine Learning Jobs in the Thames Valley

applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex … process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion ...

Data Scientist (Machine Learning) – Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK. Due to exciting growth we are building a new machine Learning team. With most … team in place we are looking for a Data Scientist (Machine Learning) to support the build and launch of our new Microsoft Fabric Lakehouse and machine learning platform. This is a largely remote role with on average just 1 day a month required in the office. ...

Data Scientist (Machine Learning) - Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK. Due to exciting growth we are building a new machine Learning team. With most … team in place we are looking for a Data Scientist (Machine Learning) to support the build and launch of click apply for full job details ...

science activities, interfacing and integrating data science solutions into primary software environments. Experience and awareness of AI, Machine Learning, Generative AI and ML-Operations. Working within the Public Sector either embedded or as supplier. Secure Public and Private Cloud experience. Virtualisation and Containerisation techniques, technologies, risks and opportunities ...

supported automation and optimisation . Preparing and maintaining high-quality datasets and AI-ready data models (DWH/Lakehouse) to support analytics, reporting, and machine-learning use cases. Monitoring and troubleshooting daily data operations, resolving issues following ITIL best practices, and implementing proactive improvements, alerting, and self-healing … data warehousing, and relational database environments (e.g., MS SQL Server). Experience designing cloud-native and on-prem data solutions. Exposure to AI/ML initiatives , AI-enabled automation, and an understanding of LLM concepts and their data workflow applications. Experience working in Agile environments (Scrum, Kanban, DevOps). Strong ...

will focus on building and optimising data pipelines, improving access to platform and event data and strengthening the underlying data architecture that supports analytics, machine learning and AI initiatives. This role is ideal for someone with strong experience across modern data engineering practices, cloud data platforms and large ...

genomics or bioinformatics to work directly alongside scientists and researchers, turning complex biological data into reliable, scalable datasets that can power AI and machine learning models. This role sits at the intersection of data engineering, genomics, and applied research - ideal for engineers who enjoy collaborating closely with scientists … world scientific progress. What you’ll work on Building robust pipelines to process and curate genomic datasets Turning raw sequencing and biological data into ML-ready training datasets Working with formats such as FASTQ, FASTA, VCF and other high-throughput biological data Collaborating with bioinformaticians, computational biologists, and ML teams ...

similar role Experience of JIRA and Confluence Strong understanding of product management practices? Understanding of Cloud Development, Data Modelling, PowerBI or equivalent, AI and Machine Learning modelling Working knowledge of SQL server, Azure, Microsoft Fabric or equivalent Customer-focused mindset with a passion for delivering high-quality solutions ...

tech direction, process, and code quality Architecture design and roadmap leadership for Microsoft transformation projects Liaising with external clients, defining requirements. Implement AI/ML technologies Essential experience: 5 years+ commercial experience in a SaaS Product based environment Extensive Technical Leadership and Technical Architecture experience Team leadership experience, ideally both ...

test environments. Analysis & Debugging: Perform static and dynamic code analysis using industry toolsets (e.g., VectorCAST, LDRA, or Polyspace). Collaboration: Partner with AI/ML experts and hardware engineers to ensure seamless system integration and requirement traceability. The Profile We're Looking For Embedded Background: A degree in Computer Science ...

trusted advisor on technology-enabled improvement Ensure secure, responsible and compliant use of AI and data Skills & Experience Experience in AI, Machine Learning, Analytics, Automation or Digital Transformation Proven track record delivering adoption and measurable business value Strong stakeholder and change management across global/matrix environments Experience ...

Innovation Contribute to the IT, Security, and Data Strategy, ensuring alignment to business outcomes and future growth. Monitor emerging technologies and trends-particularly AI, Machine Learning, Cloud platforms, data analytics, and insight-and promote innovations that deliver measurable business value. Direct initiatives to optimise system architectures, improve operational ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Reading (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

.NET Developer, .NET 10.0 - Social Networking Site - Newbury (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...