51 to 75 of 114 Machine Learning Jobs in Gloucestershire

sales/solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural … career growth opportunities 34 days holiday plus your birthday off (inclusive of bank holidays) Share options – we believe in shared success Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do Remote and flexible working – remote, co-working spaces ...

sales/solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural … career growth opportunities 34 days holiday plus your birthday off (inclusive of bank holidays) Share options – we believe in shared success Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do Remote and flexible working – remote, co-working spaces ...

looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self-development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector An increasing number of their ...

integrity. Schedule and monitor pipeline workflows using orchestration tools. Platform Engineering: Contribute to the design and maintenance of data platforms that support analytics and machine learning workloads. Work closely with DevOps teams to ensure CI/CD practices for data solutions. Collaboration: Liaise with data scientists, analysts ...

Responsibilities: You will lead the review of client applications and their technology and product strategy. You will monitor emerging technologies, including AI, GenAI and machine learning trends, assessing their relevance and potential application within client solutions and strategies, and provide recommendations on adoption and integration opportunities. You will ...

staffing and talent acquisition platform dedicated to helping leading organisations connect with exceptional talent. As we expand into the cybersecurity, AI/ML, and cloud technology domains, we are inviting passionate and detail-oriented individuals to join our Cyber Security Internship Cohort. Role Overview As a Cyber Security Intern ...

Support strategic account leads in identifying opportunities for deepened client engagement. Business-Technical Communication Serve as the trusted bridge between engineering teams (AI/ML, data, DevOps) and non-technical stakeholders. Frame technical progress and limitations in accessible, value-oriented language. Support tech leads by surfacing risks and clarifying feasibility ...

models. Proficiency with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

market and fundamental data. The Data Business Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Energy traders make use of their data to help make investment and risk decisions. This ...

market and fundamental data. The Data Business Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Energy traders make use of their data to help make investment and risk decisions. This ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

experience with Terraform and other IaC tools. Experience in multi-cloud environments . Familiarity with monitoring tools such as Prometheus Exposure to AI/ML infrastructure and data workflows in financial services. ...

enhanced tools (Copilot, AI Foundry, Fabric AI services). Knowledge of data governance, metadata, and data quality frameworks. Experience with forecasting, statistical modelling, or ML techniques. Relevant Microsoft certifications (Power BI, Fabric, Data Analyst Associate). If this is of interest and you're looking to take your career ...

reporting). Familiarity with PPM, EPM, and integrations with third-party systems. Understanding of cloud technologies, SaaS delivery, automation frameworks (RPA/AI/ML), and digital assistants. Experience with intelligent automation, analytics, or process mining is highly advantageous. Soft Skills Excellent communication, leadership, and stakeholder management abilities. Strong problem ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...

guidance to junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing ...

please apply. For more information on this role, or any other jobs across Embedded, C++ programming, Embedded Linux, Golang Development, C# .net, Mechanical Design, Machine Learning, AI, FPGA, Electronics, Java, Python, Data Science, or Simulation, contact us today. ...

supervision. Bonus Points: Experience working in the Ads domain Experience or interest in the advertising business and understanding customer needs Experience with prompt engineering, machine learning or data science. ...

years of experience in solving complex data challenges for defence, national security, and central government clients. They specialise in areas such as AI and machine learning, geospatial data analytics, cloud services, and data strategy, delivering tailored solutions that enhance decision-making, operational performance, and mission readiness Key Responsibilities ...

About the Role This is an excellent opportunity for a hands-on Senior Software Engineer with strong Python skills and some applied AI/ML experience to support the development and deployment of int click apply for full job details ...

Role This is an excellent opportunity for a hands-on Senior Software Engineer with strong Python skills and some applied xxuwjjq AI/ML experience to support the development and deployment of int Please click on the apply button to read the full job description ...

scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

from signal and evaluate information quickly Focus on business value rather than building tech for the sake of it Bonus points for AI or ML production experience including MLOps and model deployment Go, Docker, Kubernetes, infra as code Experience with healthcare standards such as FHIR, HL7 and DICOM What ...

robust tracing (OpenTelemetry) and automated CI/CD evaluation gates (faithfulness, hallucination detection) to prevent regression. Qualifications Must Haves: 5+ years of backend or ML engineering experience, with a recent deep focus on LLM application layers. Expert-level Python: Deep familiarity with FastAPI, asyncio, and pydantic. Real-Time Experience: Proven ...