1,851 to 1,875 of 2,186 Machine Learning Jobs in the UK excluding London

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 ...

Engineering, Artificial Intelligence, or a related field. Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. Hands-on experience in developing applications utilizing Large Language Models ...

forward-deployed senior engineer who unlocks AI-driven solutions to business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing … engagement and transforming working patterns into load-bearing, AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature. AI platform capabilities. Work with ...

permanent talent and contractors. Mentorship: Coach existing team members through process updates and modern cross-functional ways of working. Skills & Qualifications Data Science & ML Expertise: Strong academic background (e.g., Master’s degree in Data Science or a scientific discipline with significant ML focus) alongside practical data science experience. Software Engineering ...

Agentic & Gen AI, Data Science and Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that … combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. Accelerating impact with AI by enabling proof of value through prototypes ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

Data Engineers, Data Scientists, and Platform Teams* Technical documentation and knowledge transfer* Agile delivery experience**Desirable Skills*** POSIT/RStudio migration experience* AI/ML and LLM integration* RAG and Vector Database exposure* Regulated industry experience## **We are a Disability Confident Employer:**Capgemini is proud to be a Disability Confident … does 'Get The Future You Want' mean for you?**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 ...

least one of: Application software (industrial automation, networking protocols, UI frameworks, IT systems) IoT services and Cloud development (Azure, AWS, etc) AI/ML systems Cybersecurity Embedded systems (RTOS, bare metal, hard real-time) Our Offer to You Comprehensive benefits – including annual bonus scheme, 25 days annual leave + bank … with disabilities are provided reasonable adjustments to participate in the job application or interview process. If you consider yourself to have a disability or learning difficulty which means you are unable to complete the application process online, please get in touch by email to ukrecruitment@mt.com so that ...

delivers trusted technology products in a secure, stable, and scalable way. EPAS delivers Day 2 operational automation, workflow orchestration, event-driven automation, AI/ML-enabled service management, and platform tooling that support Incident, Change, Problem, Crisis, and Production Management processes across the firm. This role has a primary focus … About EPAS/Infrastructure Platforms EPAS provides process and event-driven automation, user-driven run book automation, workflow orchestration, microservice APIs, and AI/ML capabilities as part of a wider Hyper Automation offering for Infrastructure Platforms. Key product areas include Automation as a Service (AaaS), Ansible Automation Platform ...

which you’ll help build with us. We are a small, ambitious team. You won't be a cog in a machine - you'll have direct impact on products, architecture decisions, and the direction of the technology. The Role We're looking for a senior developer who is comfortable … genuinely strengthen your application: GraphQL/Hasura experience AI and embeddings - experience with vector databases, LLMs, retrieval-augmented generation (RAG), or applying AI/ML techniques to deliver better user experiences MongoDB (we still have legacy systems running on it) CI/CD and DevOps - Docker, build pipelines, automated testing ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Job Description As a Data Architect you will … secure data solutions. Our tech stack Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal ...