251 to 275 of 6,120 Machine Learning Jobs in the UK

best practices Act as technical authority for AI-related projects and programmes Mentor and develop engineers, architects and technical specialists Design scalable AI and machine learning solutions Define architectures for Generative AI, Machine Learning and Intelligent Automation platforms Establish patterns for integrating AI services into enterprise … technical solutions, present AI roadmaps and recommendations, and build relationships across technology, data and operational teams Requirements Strong software engineering background Experience delivering AI, machine learning or Generative AI solutions Knowledge of Azure AI Services, Azure OpenAI, AWS AI or Google Vertex AI Experience with Python and modern ...

ADAS systems. To deliver reliable data-driven technologies to millions of Toyota vehicles, we are solving complex real-world problems using large-scale data, machine learning, and state-of-the-art architectures for Perception, Prediction, and Motion Planning. WHO ARE WE LOOKING FOR? The team is looking … Autonomy team. You will combine modern data approaches with safety standards while also considering cost efficient options. You will be an expert in deep learning and software engineering. Furthermore, you are proactive towards handling the processes required for production development and approach them by asking "What ...

that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships … leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present a live solution during the interview Bachelor ...

that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships … leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present a live solution during the interview Bachelor ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates ...

Actions, Grafana, Terraform, Kubernetes, Playwright B2B software company experience. Specific experience in SQL, Postgres, Data Science Artificial Intelligence and Machine Learning(AI & ML), and/or performance/scaling of SAAS products a benefit. Competitive salary with regular pay reviews 25 days holiday per year The chance ...

role in shaping Centrica's AI engineering capability, driving best practice across software engineering and MLOps, and supporting the successful transition of machine learning models and AI solutions from experimentation into production. This is an exciting opportunity for a technically strong leader who enjoys developing people while remaining … while contributing hands-on to code, architecture, and technical decision-making. Support data scientists with robust model deployment, monitoring, maintenance, and product ionisation of machine learning and AI solutions. Collaborate with data scientists, product owners, business stakeholders, and data engineers to translate business requirements into practical AI solutions ...

sits at the intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions. You must currently come from, or have recent experience working within, a consultancy or professional services environment , with … within larger data and AI transformation programmes. Design, build and maintain scalable data pipelines, datasets and data models. Develop solutions that support analytics, reporting, machine learning and AI use cases. Work with both structured and unstructured data from multiple sources. Develop and implement AI and machine learning ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse … technical stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. ...

Operations workflows, controls, exception management, and productivity use cases Define and drive AI engineering architecture patterns for scalable, secure, reusable, and production‐ready AI, machine learning, and generative AI solutions Design and implement agent harnesses, orchestration layers, tool‐use frameworks, workflow automation patterns, and guardrails for enterprise … feedback mechanisms for AI systems, including quality measurement, hallucination reduction, regression testing, model performance tracking, and operational risk controls Design approaches for continual learning and improvement, including human‐in‐the‐loop feedback, telemetry‐driven enhancement, model, prompt, and version management, and safe release practices Collaborate with Markets Operations stakeholders ...

partners to develop your career and the solutions we deliver for our clients. In this role you will Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses ...

SkillsExperience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such … OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. BenefitsCompetitive SalaryBonus SchemePrivate Healthcare Insurance25 Days ...

relevance of AI-produced outputs. Compare multiple AI-generated solutions and identify the strongest response based on technical merit. Evaluate Python, SQL, analytics, machine learning, statistical, and data engineering-related content. Provide clear written feedback and justification for evaluation decisions. Identify factual inaccuracies, logical errors, coding issues … while maintaining quality and productivity expectations. Participate in onboarding and qualification activities, including an initial paid assessment. Qualifications Extensive Data Science experience in analytics, machine learning, statistical modeling, data engineering, business intelligence, artificial intelligence, or related applied disciplines. Undergraduate study does not count toward the minimum experience requirement. ...

play a key role in ensuring the reliability, performance and availability of our data warehouse and data pipelines, enabling cutting-edge analytics, machine learning, real-time decisioning and operational reporting. Collaborating closely with engineers, data scientists, machine learning researchers and business stakeholders, you'll help shape … systems on GCP and/or AWS Strong understanding of event-driven architectures and distributed systems Experience deploying and supporting batch and real-time machine learning workloads Experience working with distributed processing technologies such as Spark or Apache Beam Strong understanding of data quality principles and engineering best ...

play a key role in ensuring the reliability, performance and availability of our data warehouse and data pipelines, enabling cutting-edge analytics, machine learning, real-time decisioning and operational reporting. Collaborating closely with engineers, data scientists, machine learning researchers and business stakeholders, you’ll help shape … systems on GCP and/or AWS Strong understanding of event-driven architectures and distributed systems Experience deploying and supporting batch and real-time machine learning workloads Experience working with distributed processing technologies such as Spark or Apache Beam Strong understanding of data quality principles and engineering best ...

solutions with data semantic models and selfservice capabilities, including appealing and effective dashboards and visualisations Implementing and supporting data pipelines to deploy scalable Machine Learning solutions that are sustainable in an enterprise environment Implementing and supporting DataOps pipelines Collaborating with and providing technical guidance to a team … regulatory application design within the financial services sector. Insurance and banking domain knowledge is considered an asset Strong technical understanding of Excel/VBA, machine learning concepts, model deployment, software development life cycle practices and Agile methodologies Skilled in data storytelling, visualisation, analysis and critical thinking, with strong ...

findings to inform team technical decisionsDocument designs, implementation details, and tradeoffs to support maintainability and knowledge sharingSupport scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainabilityPartner with operations stakeholders to understand workflow pain points and translate them … concepts to technical and non-technical audiencesCollaborate effectively on multi-disciplinary teams and incorporate feedback into your workPreferred Qualifications, Capabilities, and SkillsApply AI and machine learning concepts with a strong interest in applied AI productizationBring experience from academic work, projects, internships, or roles applying AI in finance, operations ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

APIs, services, and user interfaces using * Establish data foundations through reusable data models, metadata standards, and FAIR data products in Snowflake that support analytics, machine learning, and AI. * Apply AI and agentic development practices to rapidly prototype tools and visualisation capabilities that enhance lead selection and decision-making … integrations. * Knowledge of cloud-based data platforms and modern data engineering approaches. * Experience developing APIs, workflow orchestration systems, or scientific web applications. * Experience applying machine learning, generative AI, or advanced analytics in scientific environments. * Familiarity with FAIR data principles and research data governance. * Experience working within agile product ...

expertise in any of Python/KDB/C++, for real-time data processing, application development, or data engineering. Working knowledge of AI technologies (machine learning, generative AI, etc.) to support data engineering, analytics, or SDLC automation. Proficiency in automation and continuous delivery methods; advanced understanding of agile … environments in public cloud. Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets. Knowledge of machine learning, statistical techniques, and related libraries. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

including applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data productsin Snowflakethat support analytics, machine learning, and AI. Apply AIandagentic development practices to rapidly prototype tools and visualisation capabilities that enhance leadselectionand decision-making in drug discovery campaigns. … integrations. Knowledge of cloud-based data platforms and modern data engineering approaches. Experience developing APIs, workflow orchestration systems, or scientific web applications. Experience applying machine learning, generative AI, or advanced analytics in scientific environments. Familiarity with FAIR data principles and research data governance. Experience working within agile product ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

historical market data, pricing services, scenario generation, or analytics input validation, experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics, CFA, FRM, CQF, or other relevant professional qualification. Условия Health & wellness health care coverage … Generous time off Continuous learning access #J-18808-Ljbffr ...