526 to 550 of 1,506 Machine Learning Jobs in the UK

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 Desirable Experience AWS/Azure ...

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 Desirable Experience AWS/Azure ...

ConsultingJob Subfunction: Technology ConsultingJob Description: Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … including networking and hybrid connectivity Familiarity with configuration management tooling (e.g. Ansible) Cloud certifications in AWS or GCP alongside Azure Exposure to AI/ML services on Azure (e.g. Azure AI Foundry, Azure OpenAI, Azure Machine Learning) Python coding skills BenefitsAlong with a great company culture, Credera provides ...

ready architecture concepts including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition ...

ready architecture concepts including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition ...

ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for youAt Accenture ...

learn. Run honest post-mortems and feed lessons back into how your domain selects opportunities. Additional information: Reporting line: VP, Commercial AI/ML Transformation Position level: Director Team management: N/A Primary location: London New Oxford Street (UK) Secondary locations: Philadelphia (PA, US), Boston (MA, US), Durham … What You Bring Required Functional Experience 10+ years of progressive experience spanning some combination of pharma/life sciences, AI/ML product strategy, and senior product management or strategy roles in technology-led organisations. Demonstrated track record of identifying, scoping, prototyping, and shepherding high-value technology or AI initiatives ...

systems. Design scalable, secure and maintainable AI solutions in partnership with our Technology and Data Platform teams. Define and own evaluation frameworks for ML, LLM and GenAI outputs, covering accuracy, consistency, bias mitigation and regression testing, so that everything we release meets Chambers’ standards for rigour and independence. Establish production … credibility with the gravitas to earn the confidence of engineers and senior leaders alike. You’ll bring: Essential Significant experience in senior applied AI, ML or data science leadership roles, with a track record of owning AI end to end (ideation, discovery, experimentation, production deployment, monitoring and iteration) across multiple ...

experience working with senior stakeholders across business and technology functionsExperience delivering AI platforms, workflow automation, or intelligent analytics solutions preferredPreferred QualificationsExperience with AI/ML lifecycle management and MLOpsExperience with market data, trading, sales, risk, or client analytics platformsHands-on experience with kdb+/q, Spark, Kafka, dbt, Airflow … design and distributed computing. Long-horizon agentic platforms, agent memory systems, agentic RAGKubernetes, Docker, CI/CD pipelinesData engineering, orchestration, and observabilityAI/ML platforms, MLOps, and model governanceDesirable: kdb+/q, Spark, Kafka, Temporal, ScalaLeadership CompetenciesStrategic thinking and enterprise perspectiveStrong execution and prioritizationBuilds and develops high-performing teamsComfortable operating ...

bank. JOB DESCRIPTION As a Lead Software Engineer at our client within Infrastructure Platforms Applied Artificial Intelligence and Machine Learning (AI/ML), you will join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across … create new systems and capabilities that will accelerate our business. The ideal candidate brings a strong foundation in software engineering and AI/ML, along with proven experience leading the development and production operation of AI-enabled systems in secure, enterprise environments. In this role, you will collaborate closely with ...

identification and pursuit of technical expansion opportunities to accelerate account growth. Contribute to proposal development, technical demos, and client engagements by articulating AI/ML capabilities and business value. Communicate effectively with both technical and non-technical stakeholders. Leadership & Team CollaborationMentor and guide junior engineers and data scientists within cross … best practices, and technical capabilities. Skills and Attributes for SuccessAbility to operate effectively in ambiguous, fast-paced client environments. Strong hands-on AI/ML engineering skills combined with emerging solution leadership capabilities. Excellent communication and stakeholder management skills. Commercial awareness focused on delivering measurable business outcomes. Passion ...

required skills and qualifications to help us achieve our goals: Required ExperienceStrong progressive experience in some combination of pharma/life sciences, AI/ML product, product management, or strategy roles in technology-led organisations. A track record of taking complex, ambiguous business problems and turning them into structured, sized … operational teams day to day, building trusted relationships and turning their pain points into AI-shaped opportunities. Comfortable technical fluency in modern AI/ML — enough to design realistic engagements with engineers and avoid hype-driven choices. Proven experience redesigning business processes at a detailed, step-by-step level ...

skills and qualifications to help us achieve our goals: Required Experience Strong progressive experience in some combination of pharma/life sciences, AI/ML product, product management, or strategy roles in technology-led organisations. A track record of taking complex, ambiguous business problems and turning them into structured, sized … operational teams day to day, building trusted relationships and turning their pain points into AI-shaped opportunities. Comfortable technical fluency in modern AI/ML - enough to design realistic engagements with engineers and avoid hype-driven choices. Proven experience redesigning business processes at a detailed, step-by-step level ...

week onsite Duration: 6-12 months Rate: £(Apply online only)pd Inside IR35 The role: Design, develop, and deploy end-to-end AI/ML solutions - with Production support experience (Production Deployment experience) Build scalable and robust AI architecture, including LLM-powered systems and multi-agent frameworks Translate business requirements … systems Integrate AI solutions with enterprise applications and APIs Hands on experience in Natural Language Processing (NLP), Computer Vision & Voice AI Build and manage ML pipelines (training, validation, deployment, monitoring) Ensure model explainability, fairness, and governance compliance Implement AI guardrails including safety, bias detection, and hallucination controls Ensure adherence ...

similar Advanced knowledge of cloud platforms including AWS, Azure and/or GCP, APIs, integration patterns and automation Strong practical knowledge of AI, machine learning, agentic AI and intelligent automation concepts and enterprise AI deployment patterns Advanced experience working directly with enterprise customers in embedded, customer-facing environments … agentic systems, LLM deployment, intelligent automation in production Direct business impact with enterprise clients, your work shapes real outcomes, not just roadmaps Continuous learning culture with dedicated learning and development support and access to leading AI tooling Range of tailored benefits supporting physical, emotional and financial wellbeing Inclusive ...

standards, and emerging risk practices, and translate them into actionable program enhancements. You'll need to have:10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI.4+ years of experience directly focused …/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems. Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing. Demonstrated ability ...

Reference: 28948Quantitative Researcher/ML ResearcherCompany Description: We are partnered with a prominent proprietary trading firm, widely regarded as one of the leading quantitative trading firms globally. We are working alongside senior members of their London and New York offices as they seek to expand their teams by hiring … machine learning, whether from an applied or academic background. The ideal candidate will possess a strong understanding of a broad range of ML techniques and be passionate about experimenting with model architectures, feature transformations, and hyperparameters to drive robust and reliable inferences. As an ML researcher, you will ...

Software Developer – Innovation (AI/ML, IoT & Digital Twins)We're looking for an innovative and hands-on Software Developer to join our growing Innovation team. This is a unique opportunity to work at the intersection of Artificial Intelligence, IoT, Real-Time Data, and Digital Twin technologies, creating customer-facing … Innovation SolutionsDesign and deliver end-to-end POCs and POVs that demonstrate business value and accelerate customer adoption. Develop solutions combining IoT, AI/ML, APIs, analytics, and Digital Twin technologies. Present working prototypes to both technical and executive stakeholders. Develop Data Pipelines and IntegrationsBuild streaming and batch ETL pipelines ...

attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security assistants that combine ...

cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models ...

Data Engineer, AWS Data Analytics Specialty) AI platform and engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) AI practitioner certifications demonstrating hands-on fluency with leading AI platforms for example Anthropic Claude Certified Architect (CCAR-F or CCAR-P), Microsoft Agentic ...

need to know to get started in the world of consulting. Our in-depth training is full time and is delivered on a hybrid learning basis (classroom & and remote). After a period of training you'll have the opportunity to gain industry experience by working with … Python and tools such as NumPy, Pandas and PyTest. An introduction to AI and Machine Learning, including LLMs, SLMs and traditional ML models. Specialist training in AI testing, model performance, data quality, deployment and monitoring. Hands-on experience working on real-world projects with industry-leading clients. Ongoing ...

used by analysts worldwide with direct visibility to your contributions • Modern technology stack – Work with Python, React, AWS, Kubernetes, and emerging AI technologies • Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks • Flexible environment – Work from our Manchester office with hybrid flexibility, competitive … cross-functional teams and communicate technical concepts clearly What Would Make You Stand Out: • AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...

success and minimize friction for R&D.Competencies & Responsibilities10+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level ML/AI strategy and product adoption. Experience with design and implementation of production-grade ML and generative AI applications in customer or enterprise environmentsHands … familiarity with using frontier models (from providers such as Anthropic, OpenAI and Google Gemini), including deployment, optimisation and migration strategies as well as with machine learning, LLMs, and agentic AI workflows. Proficient in programming, debugging, and problem-solving using SQL, Python, Apache Spark, cloud platforms, and Lakehouse architectures ...

Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands-on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep … integrations (e.g., Hyperscaler SDKs to Salesforce Flows).Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Unleash Your PotentialWhen you join Salesforce ...