1,976 to 2,000 of 2,152 Machine Learning Jobs in the UK excluding London

stage processWhy SCC An inclusive workplaceExcellent package: solid basic and company benefitsHybrid working & core hours in line with role requirementsCareer development and life-long learning opportunitiesOpportunity to join Europe's largest privately-owned IT CompanyRole purpose: The AI Application Architect is responsible for the end-to-end architecture, design … application delivery. Skills and experience: Demonstrable experience in application architecture, including designing scalable and maintainable software solutions. Demonstrable background designing and delivering AI/ML solutions using with strong experience using cloud platforms. Experience integrating AI into applications and creating AI-enabled applications. Strong understanding of software development methodologies ...

science that you can apply in innovative ways, thrive on analysing vast and diverse sources of 'omic data using leading statistical or AI/ML approaches to make meaningful insights into complex problems, and take pride in effectively sharing your findings with others. Who You AreExperience using a broad array … Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal. Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success. Wellbeing & Time OffHoliday: 25 days annual leave ...

with strong day-to-day Python, Golang and system programming, distributed systems. Command-line tooling experience: argument parsing, subcommand design, structured (JSON) output, and machine-readable error handlingExperience with version control systems such as Perforce and Git. Solid grasp of testing practice: writing and maintaining unit and integration test … they don'tExperience designing or operating agent-based automation for CI, QA, or code-generation workflowsBackground in Rust or another systems language; interest in ML/applied deep learningContributions to open-source Python or CLI toolingAdditionally, this position is eligible for benefits including, but not limited to, medical, dental, vision ...

Background in distributed HPC, cloud environments, data engineering & analytics. Knowledge of EDA workflows and semiconductor engineering environments. Proficiency in Python and data analysis/ML frameworks. Ability to turn sophisticated data into clear, actionable strategy. “Nice To Have” Skills and Experience : Experience with IBM Spectrum LSF or other job schedulers. … Familiarity with NetApp or high-performance storage systems. Experience applying AI/ML to workload optimization or resource management. Experience building production-grade data pipelines. Exposure to FPGA and Emulation infrastructure. In Return: Join a collaborative, fast paced team solving significant platform challenges. There will be room to grow technically ...

implementation, simulation, synthesis, and handoff to downstream teams. This is a hands-on engineering role suited to someone who enjoys solving challenging technical problems, learning new technologies, and working across the boundaries between architecture, RTL, verification, and physical implementation. Key Responsibilities Design, implement, and integrate high-quality synthesizable … senior engineers to develop solutions to challenging customer and internal silicon problems. Technical Scope SystemVerilog RTL SoC and subsystem design CPU, GPU, AI/ML, networking, or other high-performance compute architectures Control logic and datapaths Memory interfaces and controllers High-speed interfaces Clock and reset architectures AMBA protocols such ...

dashboards, and narrative packs; track benefits realization versus plan and highlight trade‐offs. AI‐Enabled Transformation and Engineering Partnership Identify and validate AI/ML opportunities (e.g., anomaly detection, match optimization, exception triage); design‐controlled pilots and scale proven solutions. Partner with engineering to prioritize capabilities, ensure backlog quality … enhance reconciliations; test, learn, and iterate. Thrive Together: Collaborate across stakeholders and share knowledge; build trust and momentum. AI Literacy: Apply agentic AI/ML where feasible; design for scale and controlled adoption. Product Mindset: Measure outcomes, simplify processes, and scale solutions. Design Thinking & Agile: Journey mapping, iterative delivery ...

with subsurface datasets (e.g., wireline, seismic, biostratigraphy, geochemistry, rock properties, lithology). Strong Python programming skills. Experience with Relational Databases. Familiarity of AI/ML and its potential to support geoscience interpretation. Experience with ETL pipelines and data cleaning. Excellent communication and teamwork skills in a collaborative R&D environment. … closely with colleagues from multiple disciplines to refine and enhance workflows – particularly supporting customer workflows and customer data types. Stay current with AI/ML technology and geoscience advancements to drive innovation. Contribute to customer presentations, particularly regarding customer data and their associated workflows. Desirable Experience Awareness of data analysis ...

computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success. Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer … phenotyping and automation data in high‐throughput transformation pipelines. Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure. Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery of technical milestones and progression towards ...

computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer … phenotyping and automation data in high-throughput transformation pipelines Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery of technical milestones and progression towards ...

working | £600–£700 perday | Outside IR35 Pursuit Marketing runs B2B outbound salescampaigns at scale. We’re looking for an experienced Data Scientistto take an ML capability from prototype through to production. This is ahands-on delivery role, rather than a research position. The details £600–£700 per day, depending … scale Work closely with CRM and SDR teams to embed outputs into day-to-dayprocesses Help establish the processes and infrastructure needed to make ML repeatableand scalable If you're a Data Scientist who enjoys takingmodels out of the notebook and making them work in the real world ...

data function Working closely with the CIO and business stakeholders to translate requirements into a scalable, governed platform Enabling downstream analytics and AI/ML use cases as the platform matures Leading and growing a small data engineering team over time What you'll need: Proven hands-on experience building … Production experience specifically in Microsoft Fabric Power BI, particularly Direct Lake mode Python/PySpark Data governance or security experience Experience enabling AI/ML workloads from a data platform, not just BI The details: Salary up to £100,000 plus bonus Leicester HQ, hybrid, 3 days/week onsite ...

voice of the team in company-wide conversations about architecture, infrastructure, and platform strategy Influence how Spire thinks about automation, data, and AI/ML across the broader engineering organization Basic Qualifications 7+ years of software engineering experience, with at least 3 in a technical leadership or staff-level individual … find it. The communication and influence skills to drive technical decisions across teams you do not directly control Preferred Qualifications Experience applying AI/ML or advanced analytics to operational or monitoring problems Experience writing performance software in Rust Background in space systems, aerospace, or highly constrained real-time environments ...

management, prioritization, and value measurement. Experience with analytics, predictive modeling, decision intelligence, planning, forecasting, optimization, or AI-enabled digital products. Understanding of AI/ML and agentic AI concepts, including human-in-the-loop decision-making, explainability, traceability, evaluation, monitoring, and governance. Familiarity with scientific data, model lifecycle management, data … with customer discovery, user research methodologies, and translating user feedback into product requirements. Familiarity with regulatory, compliance, and governance frameworks relevant to AI/ML and data-driven products. A university degree in IT, Engineering, Computer Science, Science, or a related field; equivalent experience will also be considered. What Will ...

technical voice of the team in company-wide conversations about architecture, infrastructure, and platform strategyInfluence how Spire thinks about automation, data, and AI/ML across the broader engineering organizationBasic Qualifications: 7+ years of software engineering experience, with at least 3 in a technical leadership or staff-level individual contributor … find it. The communication and influence skills to drive technical decisions across teams you do not directly controlPreferred Qualifications: Experience applying AI/ML or advanced analytics to operational or monitoring problemsExperience writing performance software in RustBackground in space systems, aerospace, or highly constrained real-time environmentsExperience building data lakes ...

assessing capital structures, relative value and investment risk.* Practical experience using data, programming or analytical tools, such as Python, SQL or AI/ML, to solve real investment problems.* The ability to identify opportunities to improve research and investment processes, and the initiative to develop or implement practical solutions.* Strong … risk.You’ll also bring genuine curiosity and a hands on approach to data, programming and AI tools, such as Python, SQL or AI/ML, with an interest in using them to improve research, test ideas and support better investment decisions.You’ll be naturally collaborative, positive and proactive, with ...

week. Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs … week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team ...

.NET Developer (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 Developer) Since 2006 our client's ...

.NET Developer (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 Developer) In just over 5 years ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Manchester (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 - Eastbourne (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 Living Standard, CSS Living Standard, Programmer, Full ...

.NET Developer - Fastest Growing Social Media Firm - Glasgow (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 ...

.NET Developer - Lancaster (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 Living Standard, CSS Living Standard, Programmer, Full ...

.NET Developer - Fastest Growing Social Media Firm - St Albans, Hertfordshire (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 ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Bath (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 - Chelmsford (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 Developer) Since 2006 our client ...