301 to 325 of 1,701 Machine Learning Jobs in the UK excluding London

great. However, don't rule yourself out if you haven't had the opportunity to develop these yet . This role offers the support, learning and practical exposure to help you build them. Experience with dbt, Databricks, Airflow, or similar modern data engineering technologies Strong analytical SQL skills … experience optimising large-scale datasets Experience building solutions that support machine learning, data science, or predictive modelling teams Experience implementing data governance, compliance, and security controls within data platforms Experience working with large-scale cloud data ecosystems and distributed processing technologies What you'll be doing Be part ...

Description The Data Scientist helps develop methods to accelerate and scale new and existing workflows, leveraging machine learning techniques for improved use of data across the company. They maintain the deep learning models behind much of Perspectum’s automated image analysis capabilities while also working closely with … Good oral and written communication skills Ability to work independently and as part of a team Good organisational skills Experience in artificial intelligence/machine learning/data science Experience in prototype coding (e.g. Python, MATLAB) Understanding of the importance of algorithmic validation Desirable Master’s degree ...

supporting proactive, person-centred care through intelligent systems that augment decision-making rather than replace professional judgement. You'll be an experienced AI/ML engineer with hands-on experience of applying agentic AI and automation to real business processes. You'll have: A degree or master's in computer … science, artificial intelligence, data science, software engineering or a related discipline, or equivalent senior experience. Extensive experience designing and deploying AI, machine learning or agentic AI systems in production environments. Experience with LLMs, orchestration frameworks, retrieval-augmented generation (RAG), APIs and automation technologies. Experience with AWS Bedrock ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … understand how prompting, context management, retrieval, tool use, orchestration, evaluation and guardrails work in practice. AI and data science foundations. Good understanding of machine learning and data science alongside generative AI. You know how models are trained, evaluated and monitored, and you can tell when a problem calls ...

responsibly and at scale. Must-Have Proven Production Experience: You have “lived it, breathed it.” Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. … communication style. 1-hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. We'll explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence ...

with large language models and orchestration frameworks such as LangChain, LangGraph or LlamaIndex Hands-on experience with AWS and/or Azure Understanding of machine learning fundamentals, embeddings and vector databases Experience with Git, CI/CD, Docker and infrastructure as code Clear communication and a practical, problem … solving approach A degree in computer science, data science or a related field, or equivalent practical experience Nice-to-Have Skills AWS Certified Machine Learning Engineer – Associate or an equivalent Azure certification Experience with MLOps, model evaluation and observability tooling Experience with Terraform and Kubernetes #J-18808-Ljbffr ...

adoption of AI across the software development lifecycle to improve productivity, quality and speed. Work with product leaders to embed AI-driven capabilities (machine learning, predictive analytics, computer vision, intelligent automation) into the product portfolio. Establish governance and best practice for responsible AI use. Operational and financial management … common processes, tools and standards across teams. Strong financial, operational and strategic planning skills. Excellent communication and interpersonal skills. Desirable Background in industrial automation, machine vision, manufacturing technology, inspection systems or scientific instruments. Knowledge of AI, machine learning, computer vision and data analytics. Our client is committed ...

research based in Bath. This project investigates how knowledge can be encoded, organized and accessed in neural architectures inspired by biological computation. It connects machine learning with questions about representation and learning dynamics, seeking models whose internal organization better reflects efficient or interpretable principles observed in natural … Applicants should meet the host programme's doctoral-entry requirements and have a relevant degree background for the project. Experience Technical Skills Neural networks Machine learning Knowledge representation General Skills Independent research Scientific communication Interdisciplinary collaboration #J-18808-Ljbffr ...

Sprint Reply we combine an execution oriented engineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues. Role Overview: As a GraduateAI Software Developer, you will … help design, build and deploy innovative software solutions that leverage the latest advancements in Artificial Intelligence, Machine Learning, Generative AI, AWS and Microsoft Azure .Working alongside experienced consultants, architects and engineers, you'll contribute to client-facing projects that solve real business challenges through modern software development ...

commercial applications of Data Science and AI, alongside technical delivery, strategy and stakeholder engagement. Key Responsibilities Lead the design and delivery of Data Science, Machine Learning and AI solutions across the Life Sciences sector Develop advanced analytics solutions supporting commercial functions, including sales, marketing, customer insights and market … Science solutions, particularly across sales, marketing or customer analytics Consulting background preferred, with experience managing client relationships and engaging senior stakeholders Strong understanding of ML, advanced analytics and emerging AI technologies, including GenAI Good technical knowledge of Python, SQL and modern Data & AI platforms Experience leading technical projects from initial ...

health and reduce health inequalities? Main duties of the job You will work on a wide range of projects, including statistical and simulation modelling, machine learning, predictive analytics and data engineering. The role offers the opportunity to work with modern cloud-based technologies, collaborate with multidisciplinary teams … version control, collaborative development and code review Specialist knowledge and application of statistical and data science methods, such as projections, statistical and simulation modelling, machine learning (supervised and unsupervised, NLP), econometrics, regression and causal inference, including model validation and communicating uncertainty Data management and engineering skills, such ...

Please do not contact the recruiter directly. Job Description: The Enterprise AI & Advanced Analytics Director will lead a high-performing team of data scientists, machine learning engineers, and AI Forward Deployed Engineers. By leveraging cutting-edge AI, Generative AI, and traditional machine learning, this leader will … Data Science, AI, or Advanced Analytics, ideally within CPG, Retail, Telecom, or Financial Services. Spec-Driven SDLC Expertise: Proven experience managing AI/ML projects using specification-first methodologies, automated testing pipelines, and structured API contracts. Technical Depth: Deep intuition around both traditional predictive modelling (Regression, CLV) and modern GenAI ...

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 ...

Lead the strategy, development and deployment of AI for technology, including platforms, agents, software development and automation; build reusable services for generative AI, agents, machine learning and advanced analytics; convert AI architecture and standards into safe, consumable platform capabilities; partner broadly to accelerate responsible AI adoption; ensure appropriate … service ownership and accountability; ensure platforms are resilient, secure, scalable, supported and cost-effective; define and monitor reliability, experience and operational measures; drive incident learning, problem management and continuous improvement; manage lifecycle decisions including investment, modernisation, consolidation and retirement. Adoption, value and commercial management Drive measurable enterprise adoption ...

output of our rail inspection systems. You will work across the full stack with a strong emphasis on backend data processing, analytics, and machine learning workflows, all hosted on AWS cloud infrastructure. These seats sit close to the ranking and fusion logic itself, so the work … serve data products to internal and external consumers Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step ...

Product Owner experience. Experience with managing analytics products within the fraud space is essential. Domain knowledge in fraud prevention, statistical modelling and AI/machine learning is a must. Ability to understand and analyze complex data in association with machine learning and AI algorithms. Committed ...

platforms, bridging commercial requirements with modern engineering execution. Operating across a cutting-edge Google Cloud Platform (GCP) ecosystem, you will drive strategic initiatives spanning Machine Learning, LLMOps, Retrieval-Augmented Generation (RAG), agentic AI, and large-scale cloud migrations. If you are a consultative technical leader who excels … modern data solutions, this engagement provides an outstanding opportunity. What You Will Be Doing Strategy & Architecture Design: Define end-to-end architectures for AI, ML, data, and agentic AI solutions running on GCP, ensuring consistent alignment with platform standards, security controls, and ethical AI practices. Cloud-Native Technical Leadership: Architect ...

Doing Review and analyze image data to improve AI recognition accuracy Identify and correct misclassified images and labels Annotate and organize large datasets for machine learning use Evaluate AI outputs against real-world results Collaborate with internal teams … refine data quality Contribute ideas to improve AI data processes What You’ll Need to be Considered Experience annotating images for AI/ML models Exposure to AI, machine learning, or neural networks Ability to critically evaluate AI-generated outputs without relying on AI tools Strong attention ...

Group is hiring a Senior Machine Learning Engineer in Belfast to join a US software partner developing a cybersecurity product. You will blend statistics, machine learning and robust software engineering to take the product from prototype through to market. You will contribute to architecture … decisions, work with an experienced team, and bring a track record of four to five years in production Java along with strong Python and ML fundamentals to solve real-world security challenges. #J-18808-Ljbffr ...

Explore a research career at Graphcore through a PhD internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice and help shape what we’re creating. Along the way, you’ll tackle challenging problems with a team who welcome your questions … Your work could contribute to public research shared with the wider AI community. Your team and support Graphcore Research explores the computational requirements of machine intelligence and how hardware can enable the next generation of AI models. The team publishes at leading AI and machine learning conferences ...

testing, documentation, and support processes. Partner with product and business leaders to integrate AI-driven capabilities into Nordson XRT products. Explore opportunities to leverage machine learning, predictive analytics, computer vision, and intelligent automation to improve customer productivity, equipment performance, and operational reliability. Establish governance and best practices … multiple teams. Strong financial, operational, and strategic planning capabilities. Excellent written, verbal, and interpersonal communication skills. Preferred Skills and Qualifications Experience within industrial automation, machine vision, manufacturing technology, inspection systems, scientific instruments, or related technology sectors. Experience leading teams that develop software for hardware-enabled products and complex integrated ...

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 ...

ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight applications … Experience with geospatial analysis tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows Experience supporting CCMDs, service components ...

Members. Proven experience in security research, offensive security or adversarial machine learning (e.g. red-teaming, penetration testing, vulnerability research, or attacks on ML models). A strong understanding of how modern AI systems work, including how large language models are trained, deployed and served. Familiarity with attacks … your own software development process. We also value: Experience with interpretability methods (e.g. probing, sparse autoencoders, circuit analysis), or a strong interest in learning them. Experience working on software systems that operate in highly regulated or high-assurance environments (e.g. financial services). An understanding of the latest ...

/or Product Owner experienceExperience with managing analytics products within the fraud space is essentialDomain knowledge in fraud prevention, statistical modelling and AI/machine learning is a mustAbility to understand and analyze complex data in association with machine learning and AI algorithmsCommitted to delivering high ...