176 to 200 of 4,786 Machine Learning Jobs in England

this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data - AWS/Azure/ ...

with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics teams and Risk ManagersAssess feasibility, risks, and data readiness for AI/ML/GenAI opportunitiesWork with data owners, stewards and architects to identify required data sources, understand data lineage and constraintsEnsure requirements include data quality, metadata … have” skills:BA/SCRUM/PM qualificationsMaster Data Management, data governance, data modelling exposureTools: JIRA, Confluence, etc.Experience working on projects that use AI, ML or advanced analytics – ideally from discovery through to adoption.Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.)Exposure to AI platforms (e.g. Azure ...

Syrup platform and the family of forecasting and predictive services that power Anaplan’s verticalized solutions. The team builds and operates the ML platform, forecasting engines, and data processing services that deliver demand forecasting, inventory recommendations, and predictive insights to enterprise customers in retail, supply chain, and beyond. This role … within Software Engineering, Principal or Architect‐level role owning systems at scale. Deep expertise in Python and in designing and operating high‐availability, production ML services. Hands‐on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with ...

development of our platform, shaping its capabilities and providing impactful solutions.Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. If you are passionate about machine learning, AI, and want to contribute to the platform capability development for our whole … methodologies and working in Scrum/SAFE practices* Familiarity with front-end technologies (HTML, CSS, JavaScript) is a plus.* Exposure to the AI/ML techniques & methodologies is a plus.* Knowledge of software development best practices, including version control (Git) and continuous integration (CI/CD) processes.* Strong problem-solving ...

Power BI Service administration Expert Python development for data, analytics and automation Experience integrating REST APIs and multiple data sources Knowledge of traditional machine learning techniques, including tree-based models (e.g. Random Forest, CatBoost), feature engineering techniques such as TF-IDF, and experience evaluating and deploying AI/ML solutions in commercial environments Excellent problem-solving, communication and stakeholder management skills Strong software engineering practices (OOP, testing, Git, documentation) Understanding of modern analytics engineering ...

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 ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence‐based … decision‐making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high‐quality ...

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 ...

work on meaningful, high profile programmes that stretch your skills and accelerate your growth. We invest heavily in you--supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes … Working as part of IBM Consulting's Hybrid Cloud & Data practice, you'll help clients unlock value from modern AI technologies, combining data science, machine learning, Generative AI, and Large Language Models to solve complex business challenges across public sector, financial services, and regulated industries. You will work ...

code for processing, transforming and quality control of new data types for integration into our larger data model Contribute to and implement statistical and machine learning methods to a high standard of robustness, validation and reproducibility. Contribute to internal and external presentations and publications arising from our work. … Essential Strong knowledge of human genetics and functional or clinical genomics, and the ability to apply it to research questions. Skilled at analysing and learning from large-scale biological datasets, including statistical and machine learning methods. Experienced processing and interpreting data from functional genomics, molecular and expression ...

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-18808-Ljbffr ...

code for processing, transforming and quality control of new data types for integration into our larger data model Contribute to and implement statistical and machine learning methods to a high standard of robustness, validation and reproducibility. Contribute to internal and external presentations and publications arising from our work. … Strong knowledge of human genetics and functional or clinical genomics, and the ability to apply it to research questions. Skilled at analysing and learning from large-scale biological datasets, including statistical and machine learning methods. Experienced processing and interpreting data from functional genomics, molecular and expression atlases ...

code for processing, transforming and quality control of new data types for integration into our larger data model Contribute to and implement statistical and machine learning methods to a high standard of robustness, validation and reproducibility. Contribute to internal and external presentations and publications arising from our work. … Strong knowledge of human genetics and functional or clinical genomics, and the ability to apply it to research questions. Skilled at analysing and learning from large-scale biological datasets, including statistical and machine learning methods. Experienced processing and interpreting data from functional genomics, molecular and expression atlases ...

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 ...

your expertise in AWS analytics and data integration services to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service … governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Amazon SageMaker (and related AWS AI services) to operationalise models and drive ...

projects Excellent communication and presentation skills with ability to influence and advise executive stakeholders up to C-level Deep expertise in artificial intelligence, machine learning and generative AI applications with strong knowledge of MLOps and LLMOps lifecycles Advanced understanding of cloud-scale data platforms such as AWS, Azure … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

enterprise standards for performance, resilience, compliance, and operational excellence.**Required Skills*** 10+ years of experience in technology delivery, software engineering, platform engineering, data science, machine learning, or AI solution development.* Minimum 2+ years of hands-on experience designing and delivering custom Generative AI solutions on Microsoft Azure (preferred … invested in wellbeing apps such as Thrive and Peppy.* You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous ...

Ryan? Competitive Compensation and Benefits Business Connectivity Reimbursement (Phone/Internet) Gym Membership or Equipment Reimbursement LinkedIn Learning Subscription Flexible Work Environment Tuition Reimbursement After One Year of Service Accelerated Career Path Award-Winning Culture & Community Outreach #Li-hybrid #LI-DR1 Ryan offers outstanding opportunities to work … while maintaining ownership and understanding of the code produced. Education and Experience: Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent relevant experience. Suitable for recent graduates and candidates with approximately 0-3 years of professional software engineering experience. ...

necessary, GCHQ will fully cover travel and accommodation expenses. Beyond delivering impactful work, you’ll be part of a culture that values collaboration, learning and development, where everyone is encouraged to contribute and reach their potential. To join us, you’ll need a higher education background in a STEM … help you succeed in the role. A passion for technology and the ability to thrive in a collaborative environment where knowledge sharing and continuous learning are valued will help you succeed in the role. Training and development We invest heavily in professional development and provide a range of learning ...

software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands‐on experience building applications with LLMs such as Azure OpenAI … monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human‐in‐the‐loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain ...

explain complex ideas to specialists and non-specialists alike. Skilled at writing high-quality Python code using modern software development practices. Confident analysing and learning from large-scale datasets in a scientific context. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments … particularly R or C++. A PhD or postgraduate degree in a scientific field, ideally genomics, bioinformatics or computational biology, with familiarity in statistics and machine learning. Prior experience working in a team, ideally in an industry setting. Your Package We are committed to providing a transparent, supportive, and rewarding ...

Investment platform data solutions Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing … implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich ...

Investment platform data solutions Experience working with AWS-native data services and event-driven architectures Experience building data products that support analytics, reporting, machine learning, or AI use cases Knowledge of MLOps, AI Engineering, Agentic AI, or Generative AI implementation patterns Experience leading distributed engineering teams Experience establishing … implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich ...

Abilities: Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases. Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows. Proven ability to integrate AI capabilities both into … Degree in Computer Science, IT, Engineering, or a related discipline (or equivalent practical experience). Professional certifications in AI Fluency or specialised AI/ML technologies are advantageous, although strong self‐directed learning and practical AI experience are equally valued. #J-18808-Ljbffr ...

improve assessment, threat modeling, detection engineering, vulnerability analysis, incident response and reporting; embed security checks, risk scoring, control validation and approvals into AI/ML and agent delivery workflows; build agents and orchestrations in Python with secure engineering, CI/CD and production support; measure value through cycle-time, quality … Data Science, Information Systems or a related field, or equivalent relevant experience Proven experience in Cybersecurity engineering, security operations, automation, platform engineering, AI/ML engineering or a closely related field, including meaningful hands-on work securing or operating Generative AI or Agentic AI solutions Proven ability to build production ...