1,851 to 1,875 of 2,170 Machine Learning Jobs in the UK excluding London

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 ...

consistent RESTful APIs Provide technical support and lead incident investigations Champion Scrum and drive continuous improvement in how the team works Foster a collaborative, learning‐oriented environment where engineers grow In addition to backend work, you may also be required to support tasks on the frontend — we value engineers … command line Command of the testing pyramid and automated testing types (unit, component, smoke, performance, load, end‐to‐end) Familiarity with modern statistical ML and AI tooling, including NumPy, SciPy, and Pandas A track record of collaborating in a fast‐paced agile team, ideally using Scrum Nice to have Experience ...

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 ...

Will Do Build, test, and ship features for products in active use by energy companies worldwide Debug and fix defects in production systems, learning how large-scale applications behave under real conditions Write and maintain automated tests as part of the team's standard delivery workflow Participate in code … data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates from ...

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 DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: 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 Consultant ...

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 DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: 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 Consultant ...

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 DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: 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 Consultant ...

skillsHands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scaleHands-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 environmentsExpert in one or more programming languages …/or JavaAdvanced 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 working ...

clients, hands-on with model integration, multi-agent workflows and data engineering from day one. Looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results. UK (Brighton, Hybrid), Europe (Remote), United Kingdom Contract Location: UK (Brighton … with hands-on model integration, agentic workflows and data engineering from day one. We're looking for a strong Python and SQL foundation, basic ML knowledge, and a CS/AI/Data Science degree with solid academic results. Brighton (Hybrid), Europe (Remote), United Kingdom Full Time Location: Brighton (Hybrid ...

behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering … ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including ...

behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering … ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including ...

solutioning, and engineering alignment of a large-scale Wealth Management platform. You will work across applications, UI services, APIs, integrations, data, databases, AI/ML, AWS Cloud, infrastructure, Kubernetes, Docker, DevOps, security, performance, scalability, and cost optimization. You are expected to be hands-on, technically deep, and closely engaged with … Kubernetes) and embed complete CI/CD/DevSecOps lifecycles. Data & AI Architecture: Provide technical direction across RDBMS, NoSQL, Data Lakes, and AI/ML capabilities (LLM integration, RAG, vector databases). Performance & Security: Lead latency profiling, database tuning, DevSecOps, secrets management, and infrastructure sizing. Hands-On Leadership & Troubleshooting: Review ...

similar AI/LLM frameworks , together with the ability to work below the framework level when necessary. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Hands-on experience building search … with highly regulated, mission-critical or data-intensive organisations. Experience with large-scale data platforms and distributed search. Contributions to open-source AI/ML projects. The Engineering Challenge This isn't a role focused on experimenting with AI in notebooks or stitching together a collection of third-party APIs. ...

More about the role Our Data & Analytics team creates value for Morrisons by making sure we have the right data in the right place, transformed into clean, accessible structures ready for reporting, data product creation ...

Platform’s Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle … This is an exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover ...

with diverse teams to build scalable, high‐impact solutions. • Drive innovation by experimenting with emerging AI technologies. The Role As a Lead AI/ML Engineer , you will design, build and optimise scalable AI workflows and intelligent systems that enhance enterprise processes and customer experiences. You will work closely with … solution development, and ensure best‐practice implementation across model design, performance optimisation and integration. Key Responsibilities Design and implement AI workflows and high‐performing ML models. Build solutions using LangChain for agent‐based and RAG‐driven architectures. Optimise and scale AI/ML models for reliability and efficiency. Apply prompt ...

leadership. Required Qualifications, Capabilities, and Skills Experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with ...

Data Science concepts or LLM experimentation using structured evaluation frameworks Highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code Experience deploying ML workloads to cloud platforms (Azure, AWS or GCP) Familiarity with CI/CD and containerisation (Docker/Podman) Applied knowledge of statistics and experimental design … travel Core Competencies Demonstrates expertise in Data Science concepts and LLM experimentation, with a strong focus on building scalable evaluation frameworks and deploying ML workloads on cloud platforms. Proficient in Python and capable of translating complex findings into actionable insights while managing fast-paced workstreams. Highest-signal resume keywords Data ...