1,401 to 1,425 of 6,477 Machine Learning Jobs in the UK

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead …/CD tools and processesTech Enthusiasm: Strong passion for technology and a drive to continuously learnTeam Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiastsBonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environmentContainerisation ...

ready deployments within Azure environments. Collaborate with analysts and business teams to translate analytical insights into practical outcomes. Evaluate new techniques in AI and machine learning, driving Movar's capability forward through experimentation and continuous learning. Mentor junior data scientists and contribute to knowledge sharing across the team. … applied machine learning. Strong understanding of Generative AI, LLMs, and RAG principles. Experience with data mapping, feature engineering, and end‐to‐end ML lifecycle management. Proficiency across Microsoft's Azure AI and data ecosystem, with an eagerness to adopt Fabric and other emerging technologies. A curious, pragmatic approach that ...

delivery processes from the ground up Building and leveraging AI technology to enhance product features and development workflows We build with technology like: Python & ML/LLM ecosystem — service based solutions Event-driven — real-time data driven solutions Cloud deployments — Azure, Kubernetes, ArgoCD High-performance data & messaging — Graph, Vector, Postgres … Dental Insurance Group Income Protection Group Life Assurance 24-hour mental health support Equity Scheme (coming soon!) Requirements Strong experience delivering production AI/ML systems, supported by excellent software engineering fundamentals.Strong programming skills in Python and experience with typed application languages such as TypeScript.Practical experience with modern ML ...

through technical reports, project team meetings, regulatory submissions, and scientific publications. Drive innovation in modelling methodologies, automation, and data-driven approaches, including AI/ML-enabled predictive tools. Required Experience & Qualifications PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering, or a related scientific discipline. Strong expertise … PBBM analyses. Knowledge of virtual bioequivalence studies and clinically relevant dissolution specifications. Programming experience with Python, R, MATLAB, or similar scientific tools. Exposure to machine learning and data science applications within pharmaceutical development. Experience across diverse drug modalities, including poorly soluble compounds, peptides, enabling formulations, or complex dosage ...

growing fintech using data, AI and analytics to transform the payments space. This is a high-impact role offering exposure to credit risk, fraud, machine learning and commercial strategy, with direct access to senior leadership. The Company A venture-backed fintech in the payments space. They combine advanced … analytics, machine learning and alternative data sources to help customers make smarter, faster risk decisions. The Role Build and improve credit risk, fraud and pricing models Use analytics to inform strategy, limit optimisation and decisioning Develop machine learning solutions and predictive models Monitor portfolio performance ...

collaborating with leaders across Product and Technology. Your expertise will help us translate business needs into impactful solutions, leveraging LLMs, agentic orchestration, and ML platforms. This is your chance to make a measurable impact and advance your career in a dynamic, innovative environment. Job Description Join us as we build … collaborating with leaders across Product and Technology. Your expertise will help us translate business needs into impactful solutions, leveraging LLMs, agentic orchestration, and ML platforms. This is your chance to make a measurable impact and advance your career in a dynamic, innovative environment. As an AI Product Manager ...

Subfunction: Technology Consulting Job Description: Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … including networking and hybrid connectivity Familiarity with configuration management tooling (e.g. Ansible) Cloud certifications in AWS or GCP alongside Azure Exposure to AI/ML services on Azure (e.g. Azure AI Foundry, Azure OpenAI, Azure Machine Learning) Python coding skills Benefits Along with a great company culture, Credera ...

Subfunction: Technology Consulting Job Description: Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … including networking and hybrid connectivity Familiarity with configuration management tooling (e.g. Ansible) Cloud certifications in AWS or GCP alongside Azure Exposure to AI/ML services on Azure (e.g. Azure AI Foundry, Azure OpenAI, Azure Machine Learning) Python coding skills Benefits Along with a great company culture, Credera ...

Subfunction: Technology Consulting Job Description: Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … including networking and hybrid connectivity Familiarity with configuration management tooling (e.g. Ansible) Cloud certifications in AWS or GCP alongside Azure Exposure to AI/ML services on Azure (e.g. Azure AI Foundry, Azure OpenAI, Azure Machine Learning) Python coding skills Benefits Along with a great company culture, Credera ...

Subfunction: Technology Consulting Job Description: Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … including networking and hybrid connectivity Familiarity with configuration management tooling (e.g. Ansible) Cloud certifications in AWS or GCP alongside Azure Exposure to AI/ML services on Azure (e.g. Azure AI Foundry, Azure OpenAI, Azure Machine Learning) Python coding skills Benefits Along with a great company culture, Credera ...

Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands‐on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep … e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Unleash Your Potential When you join ...

deliver compelling commercial proposals aligned with client needs. Solution Design: Contribute to solution design from both a technological perspective and an algorithmic/machine learning perspective , ensuring feasibility and innovation. AI Value Proposition: Play a key role not only in communicating SDG’s AI value proposition but also … similar technical field. Professional Experience: Minimum 5 years of experience in AI, Data, or related fields. Technical Knowledge: Strong understanding of modern AI/ML technologies and cloud-based solutions. Tools & Platforms: Familiarity with Snowflake, Databricks, Azure AI Foundry , AWS SageMaker, and other leading platforms. Data Science Expertise: Knowledge ...

experience is greater than 2 years. Must Have Databricks Certification (active/current): two of: Databricks Certified Data Engineer Associate/Professional Databricks Certified Machine Learning Associate/Professional Databricks Certified Generative AI Engineer … Associate) Medallion Architecture design ownership: Proven ability to design Bronze/Silver/Gold layers, data contracts, data lifecycle, and serving patterns (BI, APIs, ML features). Unity Catalog architecture experience: Governance model design (catalog strategy, grants), lineage, and secure access patterns. Declarative Pipelines with Expectations (DLT): Architectural understanding plus ...

powered by extensive commercial data assets. With continued investment in cloud technologies and advanced analytics, they are building the next generation of AI and machine learning capabilities. You will join a collaborative environment that values technical excellence, innovation, and commercial impact. The Role and Deliverables Develop predictive models … commercial datasets. Prepare, audit, cleanse, and analyse complex credit and business data to generate actionable insights. Design and optimise scalable data pipelines to support machine learning and analytics workflows. Partner with business stakeholders to translate commercial and risk challenges into data-driven solutions. Communicate analytical findings through clear ...

leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platforms Advanced skills in one or more programming languages such … PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems #J-18808-Ljbffr ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description As our AI practice scales, we are seeking an experienced AI Architect/Engineer to act as the senior technical … insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied ...

defence capabilities. This is a hands‐on role suited to someone who understands modern security engineering and has a strong interest in AI/ML technologies, LLMs, automation, and risk management. What you’ll be responsible for Design and implement security controls for AI and machine learning solutions … security domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response. Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks. Experience securing cloud environments and modern development ...

Enhance Agility: Drive adoption of modern engineering practices that improve developer experience and productivity Lead post-mortems and blameless retrospectives that turn incidents into learning opportunities Strategic Technical Vision: Anticipate future scalability challenges … before they become blockers (e.g., handling 10x growth in transaction volume) Evaluate emerging technologies and recommend when/how to adopt them (e.g., new ML frameworks, database technologies) Balance technical excellence with pragmatic delivery, knowing when "good enough now" beats "perfect later" Ownership & Accountability: Own critical systems ...

work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems. Perform data analysis and data collection processes that effectively support these services. … Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative ...

customer operations teams. Drive adoption of AI and analytics solutions through effective stakeholder management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. … governance, and security best practices. Support deployment, monitoring, and continuous improvement of models. Required Experience 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics. Demonstrable experience working within the Insurance industry. Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk, Policy Administration ...

delivery pipelines. Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. … Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

delivery pipelines. Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. … Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval … retrieval augmented generation, orchestration frameworks, and agentic workflows Establish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practices Own budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus ...

applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval … retrieval augmented generation, orchestration frameworks, and agentic workflows Establish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practices Own budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus ...

Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … Financial & Legal Domain Knowledge : Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts. Production ML Engineering : Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows. Strong proficiency in Python for production ...