1,826 to 1,850 of 2,170 Machine Learning Jobs in the UK excluding London

software applications and systems Participate in code reviews and provide constructive feedback to peers. Stay up to date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement Lead communities of practice across Software Engineering to promote awareness and adoption ...

executive stakeholders and non-technical peers. Enabling Innovation: Designing usable data models and building reliable foundations that empower advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximize performance, reduce latency, and optimize cloud costs across AWS, Azure, or Google Cloud. … benefit. Health & Wellness: Medicash Health Cash Plans, Employee Assistance Programme, and Group Sickness Cover. Flexible Working: Hybrid working championed with home office setup budget. Learning & Development: Access to Udemy Business and a dedicated learning budget. Lifestyle Perks: Cycle to Work Scheme, gym and retail discounts. Family First: Enhanced ...

aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environments Practical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation or predictive ...

practicesProficient in all aspects of the Software Development Life Cycle, including design, development, testing, and operational stability in production environmentsPractical understanding of AI/ML concepts and experience integrating or embedding AI/ML capabilities into business applications or data workflows, with the ability to identify opportunities where intelligent automation ...

analytics technology landscapes and big data solutions. A bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform‐specific data certifications (e.g., GCP, Snowflake). Our Commitment to Inclusion ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

related field. Experience in technology delivering software or data solutions, including hands-on work on at least two GenAI or AI/ML projects (with ~1 year of GenAI experience). Hands-on experience with LLMs (OpenAI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks … sensitive data. Good communication skills, able to explain technical work clearly. The following will be an advantage; Exposure to GenAI or AI/ML solutions in insurance or financial services. Familiarity with insurance document workflows (ACORD forms, loss runs, policy documents). Experience contributing to solutions moving from proof ...

business outcomes. Key responsibilities: ·Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs·Designing and implementing end to end AI and ML architectures across enterprise environments·Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments·Supporting AI implementation programmes from proof … scale transformation programmes·Producing solution design documentation, implementation plans and technical proposals·Providing technical leadership and mentoring within multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … project management, and development skills Relationship and consensus building skills Preferred Kafka/Event-Driven Architecture Apache Iceberg/Delta Lake Python AI/ML & LLM integration Financial Services/Capital Markets Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred What we will provide ...

Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management & metadata: Purview AI: Foundry, (including Agent Service), ML Data Product mentality : You build Data Products where every pipeline and dataset is discoverable, addressable and secure by design. Data capabilities : You know the full … real value You’re comfortable with ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust fast with clients, data engineering leaders and data and software engineers You’re pragmatic, adaptable, outcome‐focused ...

within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications Our tech stack ð While we advocate … seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data centric decision making in both public and private sector organisations. Work to agile best ...

Skills: Deep vulnerability research, exploit R&D, manual pentesting (cloud/web/embedded/mobile), SIEM/logging platforms (Splunk, OSQuery), AI/ML security, and distributed systems. Education & Certifications: Master's degree preferred; Cloud/Security certifications (CCSP, CCAK, AWS Security Specialty, OSCP, CISSP, SANS/GIAC). … scheme. Private medical insurance. Employee stock purchase plan. Flexible working options. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

solutions involve custom engineering of unique solutions and experiences created from modern web-scale technologies, including SPAs, JavaScript, Microservices, Cloud Computing and Machine Learning. As a technologist in Digital Engineering, EY offers you the opportunity to apply your skills in a highly strategic context, working on meaningful and impactful … hands-on delivery with technical leadership, mentorship, and ownership of complex systems. We are looking for someone who is ready to challenge themselves by learning new technologies, lead developer teams and understand a product from end to end. Your key responsibilitiesActively participate and own the design, development and delivery ...

practical experience delivering system design, application development, testing, and operational stability at enterprise scale Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments Expert in one or more programming languages …/or Java Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced ...

team, you will leverage deep operational experience to deliver complex change across report automation, platform enhancements and migrations, and the introduction of AI/ML-enabled capabilities. You will work closely with Operations, Technology, and Compliance to modernize processes end-to-end, strengthen controls and data quality, and ensure change … data flows. Lead delivery of transformation workstreams: report automation, platform rollouts, migrations, and re-engineering. Drive adoption of intelligent automation (including AI/ML) in partnership with Technology and Data Science. Own the delivery lifecycle: requirements, impact assessment, UAT coordination, cutover planning, and stabilization. Deliver change with minimal BAU disruption ...

architecture must evolve with it. A self‐led learner who stays current with cloud‐native patterns, integration architectures, event‐driven systems, and AI/ML platform capabilities Essential 5+ years of experience as a Solutions Architect or in a senior technical design role, with direct accountability for architecture decisions … Familiarity with large‐scale modernisation programmes, particularly where modern platforms must integrate with or incrementally replace established systems. Hands‐on experience with AI/ML platform integration, particularly document processing, intelligent automation, or rules‐based adjudication engines. Experience working with US‐headquartered companies, building relationships with teams in other locations ...

degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field. 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems. Strong proficiency in Python, plus experience … LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. ...

integration with manipulation (RGB‐D, point clouds, grasp planning), human‐robot collaboration safety and cobot standards, simulation environments (Gazebo, MuJoCo, Isaac Sim), AI/ML for robotics (reinforcement learning, imitation learning, learned grasping), or laboratory and pharmaceutical automation is valuable but not required. What this Role ...

computational methods for translating metagenomic sequencing data into actionable results in a clinical or public health context. You will develop algorithms and AI/ML methods that are accurate and robust enough to be integrated into our infectious disease diagnostic product. You will report to the Lead Scientist in Computational … microbial genomics space. Key Responsibilities: Design, develop, and evaluate novel computational algorithms in areas such as taxonomic classification and antimicrobial resistance Develop ML/AI techniques to address real-world problems in the pathogen genomics space, in collaboration with scientists across EIT Validate and benchmark methods using public and internal ...

accelerate delivery and improve developer productivity Partner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches Implement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards Identify the lineage … with data lineage tools and techniques, including graph & vector databases and metadata management platforms Hands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale Familiarity with business-led analytics delivery models and rapid prototyping frameworks Experience with AI/ML governance, prompt engineering, and integrating ...

enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop … Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts ...

enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop … Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions Proven track record of driving consumption growth and platform adoption in large accounts ...