4,726 to 4,750 of 6,613 Machine Learning Jobs in the UK

fast-paced environments Knowledge of UML and/or DO-178C is advantageous but not necessary Experience working with or familiarity with AI/ML models is preferred. Additional Information This role has a salary of between 36,000 and 45,000 plus our flexible benefits package. We are open ...

data audits, controls, compliance)Preferred SkillsExperience with knowledge graphs/Neo4jData governance and metadata managementDashboarding tools (Power BI, Tableau, etc.)Exposure to AI/ML data validation practicesJob ExpectationsEstablish and drive enterprise-grade data quality standardsEnsure continuous monitoring and improvement of knowledge graph qualityDeliver actionable insights and measurable improvementsEnable trust ...

which the other teams depend, working wider CI data teams and IT, as well ascloud providers,to ensure that our AI scientists and ML teamsget the best from all available infrastructure. This is a technical leadership role that requires deep technical expertise and relationship building. You will be a senior ...

judgment to apply them Experience in a Global Systems Integrator, agency, or professional services environment Preferred AWS certifications: Solutions Architect Professional and specialty certifications (ML, Data Analytics) Hands‐on experience with Amazon Bedrock and generative AI implementations Familiarity with Amazon Marketing Cloud (AMC) and advertising technology Prior AWS partner-company ...

taking ownership from system design through production operation. Thrive in fast-moving environments with significant technical ambiguity. Are interested in model-serving or ML infrastructure, but do not need specialized experience with GPUs or low-level hardware. Qualifications Five or more years of software engineering experience building production infrastructure. Strong ...

structured engineering environment Experience working within a model-based or requirements-led systems-engineering environment Experience working with or familiarity with AI/ML models is preferred Additional Information This role has a salary of between 45,600 - 60,000 plus our flexible benefits package. We are open to this ...

deployment and resolution. Desirable Experience deploying or supporting systems in live operational or mission‐critical environments. Experience with one or more of AI/ML, data engineering, geospatial systems or edge computing. Experience deploying solutions into disconnected, bandwidth‐constrained or otherwise challenging environments. Experience working in defence, national security, emergency ...

acceptance testing (SAT) experience Systems Integration Sensor configuration, end to end device remote maintenance and upgrading, Data processing including computer vision and AI/ML Familiarity with Intellectual Asset Management and commercial models for new technology. Attributes Analytical, problem solving and organizational skills Attention to detail Good communication and presentation ...

degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous. 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions‐oriented B2B environment, with ...

patterns and the judgment to apply themExperience in a Global Systems Integrator, agency, or professional services environmentPreferredAWS certifications: Solutions Architect Professional and specialty certifications (ML, Data Analytics)Hands-on experience with Amazon Bedrock and generative AI implementationsFamiliarity with Amazon Marketing Cloud (AMC) and advertising technologyPrior AWS partner-company or direct ...

designed to smash client’s problems and make tech work harder for them. They include: Performance engineering Cloud adoption, migration and optimisation Data, ML and AI enablement We tie this all together with a little thing we call ‘delivery excellence’, backed up with performance engineering, DevOps, and design thinking. ...

AIOps platforms and closed‐loop automation design for network operations. Experience with observability tooling: OpenTelemetry, Prometheus, Grafana, Jaeger, Loki, ELK Stack. Knowledge of ML/AI model integration for anomaly detection, root‐cause analysis, and predictive network management. Strong grasp of TM Forum frameworks: eTOM, TAM, SID, and Open Digital ...

secure coding (e.g., OWASP principles).* Strong experience with CI/CD, Git workflows, automated testing.* Experience leading AI feature development or integrating ML models into production systems.**Career Stage:**Manager**London Stock Exchange Group (LSEG) Information:**Join us and be part of a team that values innovation, quality ...

Experience of leading architecture on large‐scale programmes through the full project delivery lifecycle, including Agile and hybrid delivery frameworks Exposure to AI/ML and generative AI applied to network operations (predictive assurance, closed‐loop automation) - DESIRABLE Why work for us? We are proud to have been recognized ...

degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous.· 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with ...

understanding of secure coding (e.g., OWASP principles).Strong experience with CI/CD, Git workflows, automated testing. Experience leading AI feature development or integrating ML models into production systems. Career Stage: ManagerLondon Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality ...

REST APIs, including authentication, rate limiting, and documentation. Familiarity with renewable energy, infrastructure investment, or financial services data. Experience evaluating and adopting AI/ML tooling to augment engineering workflows. Why else you'll love it here Wondering what the salary for this role is Just ...

degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous.· 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions-oriented B2B environment, with ...

similar platform certifications such as Microsoft, Oracle, or similar platforms. Background in change management, organizational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast ...

expert in modern data technologies, cloud infrastructure, and advanced data modeling methodologies. Demonstrates a deep understanding of how data structures impact downstream AI/ML, advanced analytics, and business intelligence. Qualifications Education/Experience Extensive Experience: Leading the development, continuous improvement, and execution of complex enterprise data architectures and data ...

confidence to work with senior leadership, market leaders, engineering teams, client-facing colleagues and frontline operational staff.· Ability to translate technical AI and ML concepts into business language, and business problems into product requirements and compelling propositions.· Track record of shipping products from discovery through to adoption, with clear success ...

confidence to work with senior leadership, market leaders, engineering teams, client-facing colleagues and frontline operational staff. Ability to translate technical AI and ML concepts into business language, and business problems into product requirements and compelling propositions. Track record of shipping products from discovery through to adoption, with clear success ...

They can also build sophisticated, full‐fledged programs, such as common operating pictures, alert‐triaging inboxes, and resource allocation planning tools driven by rich‐ML models. As a Full Stack Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands of users ...

consumer goods Familiarity with Dataform, dbt or equivalent transformation frameworks Experience with data cataloguing or governance tooling (Collibra, Alation, DataHub or equivalent) Exposure to ML/AI platform requirements — understanding what good data foundations look like to enable data science and personalisation What’s in it for me? Access bespoke ...

optimise across multiple objectives, deciding which ads get served, in which placements, and when. The work spans auction mechanics, optimisation, the output of predictive ML models, and the real-time infrastructure underneath, mostly in Java on the JVM. It is hands‐on and senior in scope: expect to move between ...