401 to 425 of 2,081 Machine Learning Jobs in the UK excluding London

training pipelines Source and, where appropriate, preprocess datasets for training and evaluation Fine‐tune and optimise open weight models (LLMs, vision or traditional ML) Build evaluation frameworks and define performance metrics Develop and maintain data pipelines and training workflows Analyse training pipelines and optimise for latency, cost and scalability Implement … solid understanding of model evaluation and validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug ...

will work hybrid in one of our hub locations (North Wales or Crawley) and you will be working alongside our teams of data engineers, machine learning engineers and software developers. Key ResponsibilitiesImplement cloud architecture in Viridien and client cloud environments, translating designs into working, production-grade deployments Build … Additional InformationHybrid working available from North Wales or Crawley. Opportunity to work across both Viridien and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experienceHighly attractive bonus schemeHybrid model ...

complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration.The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement.**Key Responsibilities****Cloud … Information*** Hybrid working available from North Wales or Crawley.* Opportunity to work across both Viridien and client cloud environments.* Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms.**Why work with us?*** Competitive salary commensurate with experience* Highly attractive bonus scheme* Hybrid ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

skills with experience working within multidisciplinary teams. Desirable skills and experience Experience processing/analysing Earth Observation or remote sensing data. Exposure to AI, Machine Learning or GeoAI applied to spatial data. Experience with raster processing, vector tiling or spatial ETL workflows. Experience working with Geographic Foundation Models … GeoFMs), large geospatial AI models or multimodal spatial machine learning would be advantageous. Experience working within consultancy environments and engaging directly with clients. Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or Terraform. Understanding of the Government Digital Service Standard and Technology Code of Practice. Senior ...

exciting opportunity to join a growing AI and data-driven technology business that is building innovative products powered by advanced analytics and machine learning. You will play a pivotal role in shaping scalable data infrastructure, influencing technical direction, and delivering solutions that create measurable business impact. THE COMPANY They … analytical, and AI data environments. Build robust SQL and Python-based data solutions for production use. Develop and enhance data models that support analytics, machine learning, and customer insight initiatives. Contribute to CI/CD processes, deployment automation, and version-controlled engineering practices. Collaborate with data scientists, product ...

systematic equities trading team. The role sits at the intersection of machine learning, quantitative research and systematic trading , developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals. You'll develop and optimise classical … datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage. This is the a unique chance to deploy ML models into systematic trading, and ensure your code and work directly generates profit. #J-18808-Ljbffr ...

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision … Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing, model ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … experience would help someone be successful in this role at Roku? Extensive experience in a software engineering environment Demonstrated project work using AI/ML and LLM technologies Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies Experience working in an embedded environment Experience ...

leading software company in Cambridge is seeking a Machine Learning Research Engineer to research cutting-edge machine learning concepts. This role requires a Ph.D. in a related field and a strong background in NLP and classic machine learning. Responsibilities include investigating algorithms, prototyping research concepts ...

across scientific and business systems. Establish consistent approaches to identifiers, metadata, data quality, lineage and traceability. Create reusable data foundations that support bioinformatics, analytics, machine learning and AI. Evaluate technical options and help establish data-engineering standards and best practices. Work closely with scientists, Bioinformatics … sciences or other R&D data. Azure and/or Google Cloud Platform. ELN or LIMS platforms such as Benchling. Preparing data for analytics, machine learning or AI applications. Semantic modelling, ontologies or knowledge graphs. CI/CD, infrastructure-as-code or other modern software‐engineering practices About ...

Role We're looking for a Data Engineer to join a growing Data & Analytics team, building scalable data platforms that power advanced analytics and machine learning solutions. You'll play a key role in developing reliable data pipelines and enabling data-driven insights across the business. Key Responsibilities … Python ETL pipeline development Microsoft Azure Azure Data Lake Databricks Data modelling and data quality Excellent communication and stakeholder management Nice to Have Machine Learning data pipelines Predictive analytics CI/CD or DevOps exposure Experience working in Agile teams If you're passionate about Data Engineering, Azure ...

PEOPLE is hiring a Machine Learning Scientist to join their Science Team, contributing to models that analyze satellite and radar data in global supply chains. Critical responsibilities include developing ML models and collaborating with engineering on production pipelines. Applicants should have a degree in a quantitative field and relevant experience in machine learning ...

embedding the OKR framework across the company, driving alignment from leadership through to execution Leading delivery and execution of an ambitious, evolving AI/ML-based product roadmap, coordinating closely across ML, engineering, clinical and commercial teams Designing and managing the programme delivery budget, and managing timelines, dependencies and delivery … cross-functional force multiplier, aligning stakeholders across technical and non-technical teams Bringing discipline to delivery across both fast-moving AI/ML development and regulated, GxP-adjacent processes What you’ll bring: An original background as an engineer or scientist, with a career since built in programme or delivery ...

working primarily in Python alongside Java and Kotlin components. You design and implement RESTful APIs and microservices that serve molecular data to research and machine learning teams across our global organisation. You write high-quality, testable code for chemical registration workflows, where correctness directly affects the science that … native systems that support rapid iteration between computational molecule design and experimental validation. You work alongside scientists partnering with our Computational Sciences colleagues, our machine learning for drug development team, and Drug Discovery groups including Antibody Engineering. You grow into a new domain combining software engineering craft with ...

Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Integration, Transformation and Quality: Establish the strategic approach for data integration, transformation … Cyber Analytics team. You will need Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases. Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns ...

Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work … closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML ...

Working directly with senior client stakeholders to turn business challenges into technical solutions Delivering modern Lakehouse architectures, real-time analytics, AI and Machine Learning capabilities Championing best practices around governance, security, performance and cost optimisation Mentoring engineers and helping build a world-class Data & AI capability Staying ahead … client-facing and consulting skills The ability to translate complex technical concepts into business outcomes Bonus Points For: Experience with AI, Generative AI and Machine Learning operationalisation Power BI or Tableau experience Experience in Financial Services, Insurance, Retail or Healthcare Why You'll Want This Role Work ...

workflows for performance and scalability Monitor, troubleshoot and improve data pipeline performance Ensure data quality, integrity, security and compliance Support wider analytics, AI and machine learning initiatives Contribute to continuous improvement and knowledge sharing across the Data team What We're Looking For We're looking … advantageous for the Data Engineer to have experience with: AWS Glue API integrations Retail or other high-volume data environments Advanced analytics, AI or machine learning Agile/Scrum environments Relevant degree or technical qualification What's On Offer? Competitive salary and benefits package Flexible working, hybrid/ ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

Responsibilities: Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python … computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high-performing data science teams, including technical mentoring and delivery accountability. Strong stakeholder management skills, able ...

automate office tasks within the Finance function. This is accomplished with the full suite of existent and emerging digital technologies, e.g. cloud computing, machine learning, digital robots and AI/copilot-enabled programming. Work with the Finance Transformation team, and the Finance Automations Product Manager, to ensure that …/or Power Query) Experience in presenting data analysis and creating reports Experience in Power BI report creation and maintenance Experience in ML-based data analysis and decision-making Understanding of the importance of data modelling for modern digital solutions, especially machine learning analysis Working Methods Ability ...